Burden, causes, and risk factors of perinatal mortality in Eastern Africa: a protocol for systematic review and meta-analysis

Yohanis Alemeshet Asefa; Lars Åke Persson; Anna C. Seale; Nega Assefa

doi:10.12688/gatesopenres.13915.1

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Study Protocol

Burden, causes, and risk factors of perinatal mortality in Eastern Africa: a protocol for systematic review and meta-analysis

[version 1; peer review: 2 approved with reservations]

Yohanis Alemeshet Asefa ^1,2, Lars Åke Persson^1,3, Anna C. Seale^1,2,4, Nega Assefa^1,2

PUBLISHED 23 Sep 2022

Author details Author details

¹ London School of Hygiene & Tropical Medicine, London, UK
² Haramaya University, Harar, Ethiopia
³ Health System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
⁴ Warwick Medical School, University of Warwick, Coventry, UK

Yohanis Alemeshet Asefa
Roles: Conceptualization, Investigation, Writing – Original Draft Preparation, Writing – Review & Editing

Lars Åke Persson
Roles: Conceptualization, Investigation, Supervision, Writing – Review & Editing

Anna C. Seale
Roles: Conceptualization, Supervision, Writing – Review & Editing

Nega Assefa
Roles: Conceptualization, Supervision, Writing – Review & Editing

OPEN PEER REVIEW

REVIEWER STATUS

This article is included in the CHAMPS gateway.

Abstract

Background: Although global mortality rates in children under 5 years have decreased substantially in the last 30 years, there remain around 2.6 million stillbirths and 2.9 million neonatal deaths each year. The majority of these deaths occur in Africa and South Asia. To reduce perinatal deaths in East Africa, knowledge of the burden, but also the risk factors and causes of perinatal deaths are crucial. To the best of our knowledge, reviews have previously focused on the burden of perinatal deaths; here we aim to synthesize evidence on the burden, causes, and risk factors for perinatal mortality in East Africa.
Methods: We will conduct a systematic literature search in Medline, Web of Science, EMBASE, Global Health, SCOPUS, Cochrane Library, CINAHL, HINARI, African Index Medicus, African Journals Online (AJOL), and WHO African Regional Office (AFRO) Library. We will include studies from 2010 to 2022, and to facilitate the inclusion of up-to-date data, we will request recent data from ongoing surveillance in the region, such as the Child Health and Mortality Prevention Surveillance (CHAMPS) network and Health and Demographic Surveillance sites (HDSS sites). To assess the quality of included studies we will use the Joanna Briggs Institute quality assessment tool for observational and trial studies. We will analyze the data using STATA version 17 statistical software and assess heterogeneity and publication bias by Higgins’ I²and funnel plot, respectively.
Conclusions: This systematic review protocol will search for published studies, and seek unpublished data, on the burden, causes, and risk factors of perinatal mortality in East Africa. Findings will be reported and gaps in the evidence base identified, with recommendations, with the ultimate aim of reducing perinatal deaths.

Keywords

Keywords: Perinatal mortality, stillbirths, early neonatal mortality, East Africa

Corresponding author: Yohanis Alemeshet Asefa

Competing interests: No competing interests were disclosed.

Grant information: This work was supported by the Bill and Melinda Gates Foundation [INV-009109]. The Bill and Melinda Gates Foundation is not involved in any other aspect of the project, such as the design of the project’s protocol and analysis plan, the collection and analyses.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright: © 2022 Asefa YA et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Asefa YA, Persson LÅ, Seale AC and Assefa N. Burden, causes, and risk factors of perinatal mortality in Eastern Africa: a protocol for systematic review and meta-analysis [version 1; peer review: 2 approved with reservations]. Gates Open Res 2022, 6:123 (https://doi.org/10.12688/gatesopenres.13915.1) First published: 23 Sep 2022, 6:123 (https://doi.org/10.12688/gatesopenres.13915.1) Latest published: 08 May 2024, 6:123 (https://doi.org/10.12688/gatesopenres.13915.2)

Introduction

Despite the decline of global mortality rates in children under 5 years from 93 per 1000 live births in 1990 to 38 per 1000 live births in 2019, there are currently 2.6 million stillbirths and 2.9 million neonatal deaths each year^1–3. The vast majority of these deaths occur in low- and middle-income countries, in Africa and South Asia⁴.

The Every Newborn Action Plan (ENAP) was launched in 2014, which targets the reduction of the neonatal mortality rate (NMR) to 12 or fewer per 1,000 live births and stillbirths to 12 or fewer per 1,000 births in all countries by 2030⁵. However, Africa has the highest stillbirth rate, and the slowest improvement worldwide⁶. Thus, given current changes, it would take over 160 years for a pregnant woman in Africa to have the same chance of having an alive baby as a woman in high-income nations now⁷. Further, Africa has the slowest reduction rate of neonatal mortality and the highest neonatal mortality rate in the world, at 27 (25–32) deaths per 1,000 live births, followed by South Asia at 23 (21–26) deaths per 1,000 live births^8–10.

More than three-quarters of all newborn deaths are from preventable and treatable conditions. The most common causes are prematurity, intrapartum-related deaths (including birth asphyxia) and neonatal infections^11,12. Counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality is one of the objectives of the Every Newborn Action Plan, which is essential to inform effective interventions⁵. In addition, using consistent definitions and classification systems is important to interpret the causes of perinatal deaths^13,14. Hence, understanding the burden, causes and risk factors of perinatal mortality is critical to reduce perinatal deaths in East Africa towards the 2030 targets.

To the best of our knowledge, previous reviews have focused on the burden of perinatal deaths, and none addressed the causes of perinatal mortality^15,16. Moreover, these reviews did not attempt to incorporate unpublished studies. Therefore, this systematic review and meta-analysis aims to synthesize the most recent evidence (published and unpublished reports) on the burden, causes, and risk factors of perinatal mortality in East Africa published from 2010 to 2022.

Research questions

This systematic review and meta-analysis will answer the following questions:

1. What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?

2. What are the causes of perinatal mortality in East Africa?

3. What are the risk factors for perinatal mortality in East Africa?

Methods

Protocols used for reporting and protocol registration

The design and implementation of this systematic review will adhere to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 statement¹⁷ and reporting of findings will follow the Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA-2020) updated guideline.¹⁸ The protocol for this review was registered on PROSPERO (CRD42021291719).

Eligibility criteria

Studies for this systematic review and meta-analysis will be selected based on the criteria specified below.

Inclusion and exclusion criteria

We will include both published and unpublished studies, that report perinatal mortality (stillbirth and/or early neonatal death), its causes and/or risk factors of perinatal mortality. No restrictions will be imposed on language of publication, sex, or ethnicity of participants. This study will include studies that have been conducted in East Africa and published between January, 2010 – June, 2022.

We will exclude studies which are reviews, or published outside of the study area and time period (before 2010 and after June, 2022). We will also exclude studies that focus on specific populations (e.g., high-risk mothers). Studies will be excluded if extracting data is not feasible after appropriate attempts to seek the full text and contact the corresponding author where needed. We will exclude studies that are limited in methodology (inappropriate statistical analysis or methods used to control confounders).

PECO search guide

Population: All births (both livebirths and stillbirths) with ≥500g/≥22 weeks of gestation and newborn deaths within the first week after birth (0–6 days)¹⁹.

Exposure: Determinants or risk factors of perinatal mortality. The determinants or risk factors are characteristics or exposures that increase the likelihood of perinatal mortality. These may be related to distal, underlying, or proximal determinants.

Comparison: The reported reference group for each determinant or risk factor in each study (e.g., perinatal mortality in mothers with antenatal care versus mothers with no antenatal care).

Outcome: Perinatal mortality rate, which is defined as “the total number of deaths of a fetus with birth weight of 500 grams or more or a gestational age of 22 completed weeks of age or more until the 7^th day after delivery per 1000 live birth”²⁰. The other outcomes for this study are the causes and risk factors of perinatal mortality.

Study designs

All observational studies (cross-sectional, case-control, prospective cohort and retrospective studies) and community-based trials which reported the magnitude of perinatal mortality and/or its cause or risk factors will be included.

Study setting and time frame

Studies that have been conducted in East Africa, which encompasses the following countries; Burundi, Comoros, Djibouti, Eritrea, Ethiopia, Kenya, Madagascar, Malawi, Mauritius, Mozambique, Rwanda, Seychelles, Somalia, Somaliland, South Sudan, Sudan, Tanzania, Uganda, Zambia, and Zimbabwe according to United Nations²¹ will be considered. Both community-based and facility-based studies will be used for this study. This study will be conducted from October 2022 to February 2023.

Years and language considered for study recruitment

All studies published from January 1, 2010 to June 30, 2022 and all articles reported in any language will be considered for this study. We will consult a specific language expert for translation for studies in a language the authors do not speak.

Publication status

All studies that fulfill the eligibility criteria will be considered regardless of their publication status (published, and unpublished or grey literature). To access unpublished reports of likely high relevance and quality, up-to-date data will be requested from large surveillance studies, forming an investigator group.

Information sources

The databases searched to identify published research articles will be Medline, Web of Science, EMBASE, Global Health, SCOPUS, Cochrane Library, CINAHL, HINARI, African Index Medicus, African Journals Online (AJOL), and WHO African Regional Office (AFRO) Library. In addition to this, a manual search will be performed to retrieve unpublished studies and grey literature via Google Scholar, Google and institutional repositories of higher education institutions, which are found in East Africa and outside the region that have joint projects in East Africa. An investigator group from large studies with ongoing surveillance in the region will be requested from Child Health and Mortality Prevention Surveillance (CHAMPS) and Health and Demographic Surveillance sites (HDSS) to facilitate the inclusion of the most up-to-date data. Three CHAMPS networks in the region, namely Harar and Kersa, Ethiopia, Siaya and Kisumu, Kenya, and Manhiça, Mozambique¹, and HDSS from Ethiopia (Harar and Kersa, Dabat, Butajira, Arba Minch and Gilgel Gibe HDSS), Kenya (Nairobi, Kilifi, Mbita, Kombewa and Kisumu HDSS), Malawi (Blantyre, Karonga HDSS), Mozambique (Chokwe and Manhica HDSS), Tanzania (Magu, Rufiji, Bagamoyo, Ifakara, Korogwe, Moshi and Pemba HDSS), Uganda (Awach; Gulu, Iganga/Mayuge, Kyamulibwa, Rakai and Toro HDSS), Zambia (Lusaka HDSS)^22,23 will be asked to join the investigator group if they have appropriate data, which they are able to contribute.

Search strategy

We will search the electronic databases above, based on the following concepts: perinatal mortality (stillbirth and/or early neonatal mortality), causes of perinatal mortality, stillbirths or early neonatal mortality, risk factors for perinatal mortality, stillbirths or early neonatal mortality, study design (cross-sectional, case-control, cohort and community-based trial) and location and geographic setting (countries of Eastern Africa), and published covering the time period from January 1, 2010 to June 30, 2022.

The search will be conducted in appropriate search fields of electronic databases, and with sensitive searches that combine text words with indexing terms. Both free-text words (including spelling variants, synonyms, related terms, plurals, acronyms, truncations, wildcards, and proximity operators) and appropriate subject headings will be used. We will use Boolean operators ‘AND’ and ‘OR’ to connect and focus a search by combining subject headings and keywords.

Various combinations of the following key terms will be used to identify papers on the burden of perinatal mortality, its cause and determinants in Eastern Africa: ‘perinatal mortality’, ‘perinatal death(s)’, stillbirth(s), stillborn(s), ‘fetal death(s)’, ‘fetal demise’, ‘fetal mortality’, ‘neonatal death(s)’, ‘infant mortality’, and ‘East Africa’ (Table 1). We will also identify studies that were cited by others (descendent search strategy).

Table 1. Summary of search strategy in Ovid Medline electronic database.

Component	Search terms
1	Perinatal Mortality/ or stillbirth/ or fetal death/ or infant mortality/
2	((perinat* or f?etal or f?etus* or infant* or neonat) adj5 (death or mortalit* or demise)).mp.
3	(stillbirt* or stillborn* or adverse birth outcome* or pregnancy outcome* or perinatal outcome*).mp.
4	1 Or 2 OR 3
5	exp Africa, Eastern/
6	(eastern Africa or Burundi or Comoros or Djibouti or Kenya or Madagascar or Malawi or Mauritius or Mozambique or Rwanda or Seychelles or Somalia or Somaliland or South Sudan or Tanzania or Uganda or Zambia or Zimbabwe).mp.
7	5 OR 6
8	4 and 7
9	limit 8 to yr=”2010 - 2022”

Study records

Data management

Articles will be searched using different electronic databases and imported to EndNote software version X20 using each of the databases’ citation manager to facilitate review process and exclusion of duplicated studies.

Selection of studies

After importing studies to Endnote X20, duplicates will be excluded. Titles and abstracts of remaining studies will be screened by Y.A.A., then abstracts of selected studies will be exported to Covidence review management software for full-text screening²⁴. Full-text articles will be independently screened by two investigators (Y.A.A. and N.A), and when there is uncertainty, a third reviewer (L.A.P or A.C.S) will make a final decision. The total number of studies identified, screened, eligible and included in the study will be described, and the reason for exclusion at each stage of the study selection process will be explained. A single failed eligibility criterion is sufficient for a study to be excluded from a review. Results from comparable groups of studies will be combined into a statistical meta-analysis using STATA-17 software²⁵.

Data collection process

Required information for the systematic review will be extracted and summarized using the Joanna Briggs Institute and Cochrane data extraction template. Information on the title, author, publication year, study design, study setting (rural vs. urban), study type (community-based vs. hospital-based), sample size, study participants, study period, sampling methods, and outcome of interest (definition of outcomes) will be extracted. When we extract data regarding perinatal mortality rate, we will note the denominator used by studies (live births or total births) and we will also collect the stillbirth and early neonatal death rates separately. Furthermore, we will extract the time of death for stillbirths; antepartum or intrapartum (fresh or macerated) if reported. In addition to this, we will look at the ascertainment of causes and risk factors in each study and the classification system will be recorded where available. The measures of association (odds ratio or relative risk with their respective confidence intervals) for each risk factor will be extracted and included in meta-analyses where feasible.

Data items

Perinatal mortality rate: is the sum of stillbirths and deaths in the first week of life (0–6 days) per 1000 total birth (both live and stillbirths)¹⁹.

Stillbirth rate: is fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation by WHO for general statistics and international comparison respectively per 1000 total births²⁶.

Early neonatal mortality: deaths among live births during the first week (0–6 days) of life²⁷.

Causes of perinatal mortality: are any condition/s with a reasonable mechanism likely to lead to the death of the fetus or early neonate and it is classified as the underlying cause, immediate cause, and main maternal cause)^28,29.

ICD-PM: is the WHO application of ICD-10 to deaths during the perinatal period, which provides a standardized system for classifying perinatal mortality based on time of death as antepartum (before the onset of labor), intrapartum (during labor but before delivery) or neonatal (the first week after delivery), and it also links the contributing maternal condition, if any, with perinatal death²⁸.

Determinants or risk factors: are characteristics associated with, but not obviously causal for, stillbirths or early neonatal deaths, such as advanced maternal age³⁰. (Figure 1)

Figure 1. Conceptual framework for causes and risk factors of perinatal mortality, adapted and modified from Mosley and Chen³³.

Outcomes and prioritization

The perinatal mortality rate will be the primary outcome measure; it is calculated by dividing the number of fetal deaths after 22 weeks of gestation or weighing more than 500g and neonatal deaths in the first week after delivery by the total number of births (stillbirths and live births) that have been included in the study (sample size)^5,19. The second outcome is the determinants (risk factors) that are associated with perinatal mortality among the study subjects; factors associated with perinatal mortality will be socio-demographic and economic factors, maternal factors, fetal factors, health service-related factors, and environmental factors. The third outcome measure of the study will be the causes of perinatal mortality, which can be classified as the underlying cause (perinatal asphyxia or hypoxia, infection or sepsis, preterm birth complications, congenital anomalies), immediate cause (perinatal asphyxia or hypoxia, infection or sepsis, preterm birth complication, and birth trauma), and main maternal factors (complications of placenta, cord or membranes and maternal medical or surgical conditions, mainly associated with hypertensive disorder of pregnancy) of death^1,31 (Figure 1). Furthermore, if any other classification systems were utilized in the included studies, we will also attempt to synthesize them.

Critical appraisal of individual studies

We will assess the methodological quality of included studies using the Joanna Briggs Institute quality assessment tool for observational and trial studies³². The Joanna Briggs Institute critical appraisal tool for cross-sectional, case-control and cohort studies comprises 8, 10 and 11 questions, respectively. The tool supports an assessment of sample representativeness of the target population, participant recruitment, adequacy of the sample size, detailed description of the study subjects and study setting, appropriate method of the statistical analysis, objective criteria in the measurement of the outcome variable and identification of subpopulation, reliability, and identification of confounding variables³⁴.

Each item for each study will be judged as Yes (1) and No (0). When the information provided is not adequate to make a judgment for a specific item, we will grade that item with a ‘No’ (0). Each study will be graded depending on the number of items judged ‘Yes’ (1) as low-risk bias (≥ 7), medium-risk bias (5 to 6), or high-risk bias (≤ 4) for cross-sectional studies, low-risk (≥8), medium-risk (5 to 7) and high-risk (< 5) for case-control studies, and low-risk (≥ 9), medium-risk (6 to 8) or high-risk (≤ 5) for cohort studies, and trials will be treated as cohort studies.

Data synthesis

The study selection processes will be summarized using a PRISMA flow diagram, and for studies which are excluded the reason will be described and explained¹⁷. A narrative synthesis will be used to summarize all studies included in the study and characteristics like study population, cause of perinatal mortality, and identified risk factors will be summarized in a descriptive table.

Meta-analysis

If appropriate perinatal mortality rates from different studies with a common definition of perinatal mortality will be pooled together to provide a single summary (pooled perinatal mortality rate) estimate using STATA-17 software. Further, we will calculate the pooled risk ratio for the risk factors of perinatal mortality using the random effect model as it assumes that the observed variation of effect size is because of real differences³⁵. The syntax “metaforestplot” will be used to generate forest plots with their corresponding weights, as well as the pooled rate across studies and its corresponding 95% Confidence Intervals (Cl).

Heterogeneity test

To examine the magnitude of the variation between studies statistical heterogeneity test will be assessed by Higgins’ I². The I² test measures level of statistical heterogeneity between studies; the values of <25 %, 25–50 %, 50–75 % and >75% are to mean very low, low, medium and high heterogeneity respectively³⁶. Since heterogeneity is expected in this study because of the differences in perinatal mortality rate across different settings, random effect model will be used. If heterogeneity is significant (I²>50%), sub-group analysis, meta-regression or meta-analysis will be conducted to investigate sources of heterogeneity and if meta-analysis is not possible, a narrative synthesis will be conducted.

Subgroup and sensitivity analysis

Sub-group analysis will be conducted based on study design, study type (community-based or facility-based), publication status (published or unpublished), study setting (rural vs. urban), geographic stratification, publication year, and study quality score (low or high score).

Sensitivity analysis will be performed to assess the robustness of a pooled estimate. We will use the single study omission analysis to test the robustness of a pooled estimate, and a study will be considered to have no influence on the pooled prevalence if the pooled estimate without it lies within the 95% confidence limits of the overall pooled prevalence^37,38. Furthermore, although most countries use the definition of perinatal mortality for international comparison, which is fetal deaths after 28 weeks of gestation or weighing more than 1000g till 7^th day after birth, in the primary analysis we will try to capture studies that were done using the WHO definition for general statistics (≥500g or ≥22 weeks of gestation). Then, the analysis will be repeated using the perinatal mortality definition for international comparison.

Publication bias

We will inspect funnel plots subjectively and Egger’s test objectively to assess publication bias. subjectively and evidence of publishing bias will be suggested by an asymmetrical funnel plot. Evidence of publishing bias will be suggested by an asymmetrical funnel plot and a p-value < 0.1^39,40.

Conclusion

This review will provide evidence on the burden, causes, and risk factors of perinatal mortality in East Africa. Published data and unpublished reports will be included, and estimates of the burden, causes and risk factors will be compared according to geographic location, study type, and study setting. The review will provide more information on this key topic, identify gaps and make recommendations, with the aim of informing interventions to prevent perinatal deaths. The findings of the study will be shared with the participating surveillance sites, and disseminated through national and international conferences, and peer-reviewed publication.

Study status

We have developed search strategies and data extraction tools, and the collection and screening of published articles began in August 2022. Data collection from Investigator groups for unpublished reports and overall analysis will be completed by January and February 2023, respectively.

Data availability

No data are associated with this article.

Reporting guidelines

figshare: PRISMA-P checklist for ‘Burden, causes, and risk factors of perinatal mortality in Eastern Africa; a protocol for systematic review and meta-analysis’, https://doi.org/10.6084/m9.figshare.20627859⁴¹

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC BY 4.0 Public domain dedication).

Faculty Opinions recommended

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Version 2

VERSION 2 PUBLISHED 23 Sep 2022

Author details Author details

Yohanis Alemeshet Asefa
Roles: Conceptualization, Investigation, Writing – Original Draft Preparation, Writing – Review & Editing

Lars Åke Persson
Roles: Conceptualization, Investigation, Supervision, Writing – Review & Editing

Anna C. Seale
Roles: Conceptualization, Supervision, Writing – Review & Editing

Nega Assefa
Roles: Conceptualization, Supervision, Writing – Review & Editing

Competing interests

No competing interests were disclosed.

Grant information

This work was supported by the Bill and Melinda Gates Foundation [INV-009109]. The Bill and Melinda Gates Foundation is not involved in any other aspect of the project, such as the design of the project’s protocol and analysis plan, the collection and analyses.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Article Versions (2)

version 2

Revised

Published: 08 May 2024, 6:123

https://doi.org/10.12688/gatesopenres.13915.2

version 1

Published: 23 Sep 2022, 6:123

https://doi.org/10.12688/gatesopenres.13915.1

© 2022 Asefa YA et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Asefa YA, Persson LÅ, Seale AC and Assefa N. Burden, causes, and risk factors of perinatal mortality in Eastern Africa: a protocol for systematic review and meta-analysis [version 1; peer review: 2 approved with reservations] Gates Open Res 2022, 6:123 (https://doi.org/10.12688/gatesopenres.13915.1)

NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Open Peer Review

Current Reviewer Status: ?

Key to Reviewer Statuses VIEW HIDE

ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Version 1

VERSION 1

PUBLISHED 23 Sep 2022

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Reviewer Report 25 Aug 2023

Anna Akselsson, Sophiahemmet University, Stockholm, Sweden

Approved with Reservations

https://doi.org/10.21956/gatesopenres.15208.r34567

Thank you for giving me the opportunity to review this study protocol. It is important that this type of study is focusing on a low resource setting in where most of the worlds perinatal mortality occur. The authors aim to address the burden, causes, and risk factors of perinatal mortality in East Africa and are planning to include both unpublished and published data. The protocol is well written and address an important topic. Thank you for conducting this study.

I have some concerns that follow below.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence “We will also exclude studies that focus on specific populations (e.g., high-risk mothers).” in exclusion criteria versus “What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?”.

Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?

Question: How will you obtain unpublished data and how are you planning on handle missing data?
Figure 1 is good and clarifies the process, “Ante Natal Care” should be “Antenatal care”

Question: In figure 1, can you check the spelling and change where necessary?

Is the rationale for, and objectives of, the study clearly described?

Yes
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Partly
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Stillbirth, fetal movements, antenatal care

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

CITE

Report a concern

Author Response 10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

10 May 2024

Author Response
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. ... Continue reading
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence "We will also exclude studies that focus on specific populations (e.g., high-risk mothers)." in exclusion criteria versus "What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?".
Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Thank you for your comment and question. We plan to exclude studies that were conducted on specific populations, for instance, high-risk mothers, that don’t reflect the population, and frequently lack a population denominator. However, if studies report the population denominator (vs the facility denominator) or report the effect size after comparing with low-risk mothers, we will not exclude them.

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?
Question: How will you obtain unpublished data and how are you planning on handle missing data?

We will try to get unpublished internal reports and/or aggregate data from HDSS sites to complement published sources, using our connections to investigators in the region.

We will assess the missing data and then consider the strategies for handling it, including consideration of imputation, if appropriate. We have incorporated this into the meta-analysis section. “For unpublished data from the internal reports/ aggregate data from HDSS sites, We will assess the gaps in the data and deliberate on effective strategies to manage them. This may encompass the possibility of imputation, if appropriate.”

Figure 1 is good and clarifies the process, "Ante Natal Care" should be "Antenatal care"
Question: In figure 1, can you check the spelling and change where necessary?
Thank you for this. Now, “Ante Natal Care” has been corrected into “Antenatal care.
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence "We will also exclude studies that focus on specific populations (e.g., high-risk mothers)." in exclusion criteria versus "What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?".
Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Thank you for your comment and question. We plan to exclude studies that were conducted on specific populations, for instance, high-risk mothers, that don’t reflect the population, and frequently lack a population denominator. However, if studies report the population denominator (vs the facility denominator) or report the effect size after comparing with low-risk mothers, we will not exclude them.

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?
Question: How will you obtain unpublished data and how are you planning on handle missing data?

We will try to get unpublished internal reports and/or aggregate data from HDSS sites to complement published sources, using our connections to investigators in the region.

We will assess the missing data and then consider the strategies for handling it, including consideration of imputation, if appropriate. We have incorporated this into the meta-analysis section. “For unpublished data from the internal reports/ aggregate data from HDSS sites, We will assess the gaps in the data and deliberate on effective strategies to manage them. This may encompass the possibility of imputation, if appropriate.”

Figure 1 is good and clarifies the process, "Ante Natal Care" should be "Antenatal care"
Question: In figure 1, can you check the spelling and change where necessary?
Thank you for this. Now, “Ante Natal Care” has been corrected into “Antenatal care.
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

10 May 2024

Author Response
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. ... Continue reading
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence "We will also exclude studies that focus on specific populations (e.g., high-risk mothers)." in exclusion criteria versus "What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?".
Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Thank you for your comment and question. We plan to exclude studies that were conducted on specific populations, for instance, high-risk mothers, that don’t reflect the population, and frequently lack a population denominator. However, if studies report the population denominator (vs the facility denominator) or report the effect size after comparing with low-risk mothers, we will not exclude them.

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?
Question: How will you obtain unpublished data and how are you planning on handle missing data?

We will try to get unpublished internal reports and/or aggregate data from HDSS sites to complement published sources, using our connections to investigators in the region.

We will assess the missing data and then consider the strategies for handling it, including consideration of imputation, if appropriate. We have incorporated this into the meta-analysis section. “For unpublished data from the internal reports/ aggregate data from HDSS sites, We will assess the gaps in the data and deliberate on effective strategies to manage them. This may encompass the possibility of imputation, if appropriate.”

Figure 1 is good and clarifies the process, "Ante Natal Care" should be "Antenatal care"
Question: In figure 1, can you check the spelling and change where necessary?
Thank you for this. Now, “Ante Natal Care” has been corrected into “Antenatal care.
Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence "We will also exclude studies that focus on specific populations (e.g., high-risk mothers)." in exclusion criteria versus "What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?".
Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Thank you for your comment and question. We plan to exclude studies that were conducted on specific populations, for instance, high-risk mothers, that don’t reflect the population, and frequently lack a population denominator. However, if studies report the population denominator (vs the facility denominator) or report the effect size after comparing with low-risk mothers, we will not exclude them.

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?
Question: How will you obtain unpublished data and how are you planning on handle missing data?

We will try to get unpublished internal reports and/or aggregate data from HDSS sites to complement published sources, using our connections to investigators in the region.

We will assess the missing data and then consider the strategies for handling it, including consideration of imputation, if appropriate. We have incorporated this into the meta-analysis section. “For unpublished data from the internal reports/ aggregate data from HDSS sites, We will assess the gaps in the data and deliberate on effective strategies to manage them. This may encompass the possibility of imputation, if appropriate.”

Figure 1 is good and clarifies the process, "Ante Natal Care" should be "Antenatal care"
Question: In figure 1, can you check the spelling and change where necessary?
Thank you for this. Now, “Ante Natal Care” has been corrected into “Antenatal care.
Competing Interests: No competing interests were disclosed. Close
Report a concern

Views

Reviewer Report 20 Jul 2023

Vivek V Shukla, The University of Alabama at Birmingham, Birmingham, Alabama, USA

Approved with Reservations

https://doi.org/10.21956/gatesopenres.15208.r33334

The current study aims "to synthesize evidence on the burden, causes, and risk factors for perinatal mortality in East Africa." The study's authors are commended for their work; I have a few suggestions for consideration to improve the manuscript and the overall research.

Title: The title of the meta-analysis is clear and concise, providing a good overview of the study's focus.

Abstract: The abstract summarizes the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasize the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

Methods:

Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.

Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

Overall, this proposal is of significant importance, featuring commendable writing, and tackling a crucial research topic.

Is the rationale for, and objectives of, the study clearly described?

Yes
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Perinatal Epidemiology

CITE

Report a concern

Author Response 10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

10 May 2024

Author Response
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the ... Continue reading
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Thank you for this comment. Specific details of the population, exposure comparisons and outcomes are now included in the abstract. "The study population includes all fetuses and newborns from ≥22 weeks of gestation (birth weight ≥500gm) to 7 days after birth, with reported causes or/and determinants as exposure and perinatal mortality (stillbirths and/or early neonatal deaths) as an outcome.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasise the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

In the second paragraph, we have incorporated more information specific to East Africa, including some statistics and relevant factors like socioeconomic and healthcare factors specific to the region.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

At the end of the introduction, the following statements are added to indicate the significance and implication of this study: "Hence, in this systematic review, we aimed to describe the burden, causes and risk factors of perinatal mortality in East Africa, using the most up-to-date information, to determine progress in achieving the ENAP 2030 targets and direct policymakers to allocate resources to the likely most effective interventions to prevent preventable perinatal deaths."

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

The rationale for conducting this study in East Africa is now more clearly indicated in the second paragraph by adding the following statement – ". . . Perinatal mortality in the region was one of the highest, with 34.5 deaths per 1000 births ¹. East Africa also has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa ^2,3. Reducing perinatal mortality in this region is critical; counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality (one of the objectives of the Every Newborn Action Plan), is essential to inform effective interventions ⁴."

Methods: Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Thank you for this comment. The specific search terms and Boolean operators used in Medline were included in the protocol, and to enhance transparency and reproducibility, we will also report the search strategies with specific terms and Boolean operators used in each database when we submit the systematic review results. We have also stated this in the protocol under the search strategy section.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

We decided to consider the timeframe from 2010 until the end of 2022, because the aim of this study is to review the up-to-date information in perinatal mortality, and to ensure that we use sufficient data. Therefore, the following statement is added under the sub-title Years and language considered for study recruitment ". . . because it aims to examine up-to-date information regarding perinatal mortality and the advancements made towards attaining the 2030 goals, whilst ensuring sufficient years are assessed to maximize data included in the analysis.“

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

We plan to consult a specific language expert to translate other languages that authors do not speak, and we will also use language translation softwares.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Thank you for this, We have corrected this as "Titles and abstracts of remaining studies will be screened by Y.A.A., and N.A"

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

We are considering this broad definition to look at the variation of definitions across different studies; however, in our meta-analysis, we will only consider studies with similar definitions (≥1000g /≥28 weeks gestation).

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Thank you for this, in order to check the risk of bias we will use the Risk Of Bias In non-randomized Studies – of Exposure (ROBINS-E), and we will consider a sensitivity analysis to investigate how variations in the inclusion and exclusion of high-risk bias studies can affect the overall. A statement describing this is added under the critical appraisal of individual studies section.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.
Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

We tried to consider both the expected outcome and discussion under the Discussion and Conclusion section added the following paragraph "Evidence shows that East Africa has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa.

Although there is no specific systematic review and meta-analysis in Eastern Africa, a meta-analysis of demographic and health surveys in Sub-Saharan Africa indicated that the pooled perinatal mortality in East Africa was 34.5 (95% CI: 32.2, 36.8) per 1000 births. However, the data from demographic and health surveys suffered from underreporting as data is collected retrospectively (deaths happening in the past five years). Another study conducted in Sub-Saharan Africa reported that perinatal mortality in East Africa was 49.88 (28.60, 71.18) per 1000 births and low birth weight, primiparity, history of perinatal loss, multiple gestation, preterm birth, and birth interval <2 years were identified as determinants of perinatal mortality 4. Although it is crucial to consider studies that report only stillbirths or early neonatal deaths, this study did not consider specific studies on either stillbirths or early neonatal deaths. Therefore, this review will consider all studies in perinatal mortality, including stillbirths and early neonatal death-only studies, and the analysis will be done accordingly. Further, this study will shed light on the causes of perinatal mortality, including whether studies use a recently introduced unified classification system (ICD-PM)."
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Thank you for this comment. Specific details of the population, exposure comparisons and outcomes are now included in the abstract. "The study population includes all fetuses and newborns from ≥22 weeks of gestation (birth weight ≥500gm) to 7 days after birth, with reported causes or/and determinants as exposure and perinatal mortality (stillbirths and/or early neonatal deaths) as an outcome.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasise the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

In the second paragraph, we have incorporated more information specific to East Africa, including some statistics and relevant factors like socioeconomic and healthcare factors specific to the region.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

At the end of the introduction, the following statements are added to indicate the significance and implication of this study: "Hence, in this systematic review, we aimed to describe the burden, causes and risk factors of perinatal mortality in East Africa, using the most up-to-date information, to determine progress in achieving the ENAP 2030 targets and direct policymakers to allocate resources to the likely most effective interventions to prevent preventable perinatal deaths."

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

The rationale for conducting this study in East Africa is now more clearly indicated in the second paragraph by adding the following statement – ". . . Perinatal mortality in the region was one of the highest, with 34.5 deaths per 1000 births ¹. East Africa also has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa ^2,3. Reducing perinatal mortality in this region is critical; counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality (one of the objectives of the Every Newborn Action Plan), is essential to inform effective interventions ⁴."

Methods: Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Thank you for this comment. The specific search terms and Boolean operators used in Medline were included in the protocol, and to enhance transparency and reproducibility, we will also report the search strategies with specific terms and Boolean operators used in each database when we submit the systematic review results. We have also stated this in the protocol under the search strategy section.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

We decided to consider the timeframe from 2010 until the end of 2022, because the aim of this study is to review the up-to-date information in perinatal mortality, and to ensure that we use sufficient data. Therefore, the following statement is added under the sub-title Years and language considered for study recruitment ". . . because it aims to examine up-to-date information regarding perinatal mortality and the advancements made towards attaining the 2030 goals, whilst ensuring sufficient years are assessed to maximize data included in the analysis.“

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

We plan to consult a specific language expert to translate other languages that authors do not speak, and we will also use language translation softwares.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Thank you for this, We have corrected this as "Titles and abstracts of remaining studies will be screened by Y.A.A., and N.A"

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

We are considering this broad definition to look at the variation of definitions across different studies; however, in our meta-analysis, we will only consider studies with similar definitions (≥1000g /≥28 weeks gestation).

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Thank you for this, in order to check the risk of bias we will use the Risk Of Bias In non-randomized Studies – of Exposure (ROBINS-E), and we will consider a sensitivity analysis to investigate how variations in the inclusion and exclusion of high-risk bias studies can affect the overall. A statement describing this is added under the critical appraisal of individual studies section.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.
Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

We tried to consider both the expected outcome and discussion under the Discussion and Conclusion section added the following paragraph "Evidence shows that East Africa has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa.

Although there is no specific systematic review and meta-analysis in Eastern Africa, a meta-analysis of demographic and health surveys in Sub-Saharan Africa indicated that the pooled perinatal mortality in East Africa was 34.5 (95% CI: 32.2, 36.8) per 1000 births. However, the data from demographic and health surveys suffered from underreporting as data is collected retrospectively (deaths happening in the past five years). Another study conducted in Sub-Saharan Africa reported that perinatal mortality in East Africa was 49.88 (28.60, 71.18) per 1000 births and low birth weight, primiparity, history of perinatal loss, multiple gestation, preterm birth, and birth interval <2 years were identified as determinants of perinatal mortality 4. Although it is crucial to consider studies that report only stillbirths or early neonatal deaths, this study did not consider specific studies on either stillbirths or early neonatal deaths. Therefore, this review will consider all studies in perinatal mortality, including stillbirths and early neonatal death-only studies, and the analysis will be done accordingly. Further, this study will shed light on the causes of perinatal mortality, including whether studies use a recently introduced unified classification system (ICD-PM)."
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

10 May 2024

Author Response
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the ... Continue reading
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Thank you for this comment. Specific details of the population, exposure comparisons and outcomes are now included in the abstract. "The study population includes all fetuses and newborns from ≥22 weeks of gestation (birth weight ≥500gm) to 7 days after birth, with reported causes or/and determinants as exposure and perinatal mortality (stillbirths and/or early neonatal deaths) as an outcome.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasise the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

In the second paragraph, we have incorporated more information specific to East Africa, including some statistics and relevant factors like socioeconomic and healthcare factors specific to the region.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

At the end of the introduction, the following statements are added to indicate the significance and implication of this study: "Hence, in this systematic review, we aimed to describe the burden, causes and risk factors of perinatal mortality in East Africa, using the most up-to-date information, to determine progress in achieving the ENAP 2030 targets and direct policymakers to allocate resources to the likely most effective interventions to prevent preventable perinatal deaths."

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

The rationale for conducting this study in East Africa is now more clearly indicated in the second paragraph by adding the following statement – ". . . Perinatal mortality in the region was one of the highest, with 34.5 deaths per 1000 births ¹. East Africa also has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa ^2,3. Reducing perinatal mortality in this region is critical; counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality (one of the objectives of the Every Newborn Action Plan), is essential to inform effective interventions ⁴."

Methods: Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Thank you for this comment. The specific search terms and Boolean operators used in Medline were included in the protocol, and to enhance transparency and reproducibility, we will also report the search strategies with specific terms and Boolean operators used in each database when we submit the systematic review results. We have also stated this in the protocol under the search strategy section.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

We decided to consider the timeframe from 2010 until the end of 2022, because the aim of this study is to review the up-to-date information in perinatal mortality, and to ensure that we use sufficient data. Therefore, the following statement is added under the sub-title Years and language considered for study recruitment ". . . because it aims to examine up-to-date information regarding perinatal mortality and the advancements made towards attaining the 2030 goals, whilst ensuring sufficient years are assessed to maximize data included in the analysis.“

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

We plan to consult a specific language expert to translate other languages that authors do not speak, and we will also use language translation softwares.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Thank you for this, We have corrected this as "Titles and abstracts of remaining studies will be screened by Y.A.A., and N.A"

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

We are considering this broad definition to look at the variation of definitions across different studies; however, in our meta-analysis, we will only consider studies with similar definitions (≥1000g /≥28 weeks gestation).

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Thank you for this, in order to check the risk of bias we will use the Risk Of Bias In non-randomized Studies – of Exposure (ROBINS-E), and we will consider a sensitivity analysis to investigate how variations in the inclusion and exclusion of high-risk bias studies can affect the overall. A statement describing this is added under the critical appraisal of individual studies section.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.
Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

We tried to consider both the expected outcome and discussion under the Discussion and Conclusion section added the following paragraph "Evidence shows that East Africa has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa.

Although there is no specific systematic review and meta-analysis in Eastern Africa, a meta-analysis of demographic and health surveys in Sub-Saharan Africa indicated that the pooled perinatal mortality in East Africa was 34.5 (95% CI: 32.2, 36.8) per 1000 births. However, the data from demographic and health surveys suffered from underreporting as data is collected retrospectively (deaths happening in the past five years). Another study conducted in Sub-Saharan Africa reported that perinatal mortality in East Africa was 49.88 (28.60, 71.18) per 1000 births and low birth weight, primiparity, history of perinatal loss, multiple gestation, preterm birth, and birth interval <2 years were identified as determinants of perinatal mortality 4. Although it is crucial to consider studies that report only stillbirths or early neonatal deaths, this study did not consider specific studies on either stillbirths or early neonatal deaths. Therefore, this review will consider all studies in perinatal mortality, including stillbirths and early neonatal death-only studies, and the analysis will be done accordingly. Further, this study will shed light on the causes of perinatal mortality, including whether studies use a recently introduced unified classification system (ICD-PM)."
Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Thank you for this comment. Specific details of the population, exposure comparisons and outcomes are now included in the abstract. "The study population includes all fetuses and newborns from ≥22 weeks of gestation (birth weight ≥500gm) to 7 days after birth, with reported causes or/and determinants as exposure and perinatal mortality (stillbirths and/or early neonatal deaths) as an outcome.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasise the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

In the second paragraph, we have incorporated more information specific to East Africa, including some statistics and relevant factors like socioeconomic and healthcare factors specific to the region.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

At the end of the introduction, the following statements are added to indicate the significance and implication of this study: "Hence, in this systematic review, we aimed to describe the burden, causes and risk factors of perinatal mortality in East Africa, using the most up-to-date information, to determine progress in achieving the ENAP 2030 targets and direct policymakers to allocate resources to the likely most effective interventions to prevent preventable perinatal deaths."

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

The rationale for conducting this study in East Africa is now more clearly indicated in the second paragraph by adding the following statement – ". . . Perinatal mortality in the region was one of the highest, with 34.5 deaths per 1000 births ¹. East Africa also has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa ^2,3. Reducing perinatal mortality in this region is critical; counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality (one of the objectives of the Every Newborn Action Plan), is essential to inform effective interventions ⁴."

Methods: Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Thank you for this comment. The specific search terms and Boolean operators used in Medline were included in the protocol, and to enhance transparency and reproducibility, we will also report the search strategies with specific terms and Boolean operators used in each database when we submit the systematic review results. We have also stated this in the protocol under the search strategy section.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

We decided to consider the timeframe from 2010 until the end of 2022, because the aim of this study is to review the up-to-date information in perinatal mortality, and to ensure that we use sufficient data. Therefore, the following statement is added under the sub-title Years and language considered for study recruitment ". . . because it aims to examine up-to-date information regarding perinatal mortality and the advancements made towards attaining the 2030 goals, whilst ensuring sufficient years are assessed to maximize data included in the analysis.“

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

We plan to consult a specific language expert to translate other languages that authors do not speak, and we will also use language translation softwares.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Thank you for this, We have corrected this as "Titles and abstracts of remaining studies will be screened by Y.A.A., and N.A"

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

We are considering this broad definition to look at the variation of definitions across different studies; however, in our meta-analysis, we will only consider studies with similar definitions (≥1000g /≥28 weeks gestation).

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Thank you for this, in order to check the risk of bias we will use the Risk Of Bias In non-randomized Studies – of Exposure (ROBINS-E), and we will consider a sensitivity analysis to investigate how variations in the inclusion and exclusion of high-risk bias studies can affect the overall. A statement describing this is added under the critical appraisal of individual studies section.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.
Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

We tried to consider both the expected outcome and discussion under the Discussion and Conclusion section added the following paragraph "Evidence shows that East Africa has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa.

Although there is no specific systematic review and meta-analysis in Eastern Africa, a meta-analysis of demographic and health surveys in Sub-Saharan Africa indicated that the pooled perinatal mortality in East Africa was 34.5 (95% CI: 32.2, 36.8) per 1000 births. However, the data from demographic and health surveys suffered from underreporting as data is collected retrospectively (deaths happening in the past five years). Another study conducted in Sub-Saharan Africa reported that perinatal mortality in East Africa was 49.88 (28.60, 71.18) per 1000 births and low birth weight, primiparity, history of perinatal loss, multiple gestation, preterm birth, and birth interval <2 years were identified as determinants of perinatal mortality 4. Although it is crucial to consider studies that report only stillbirths or early neonatal deaths, this study did not consider specific studies on either stillbirths or early neonatal deaths. Therefore, this review will consider all studies in perinatal mortality, including stillbirths and early neonatal death-only studies, and the analysis will be done accordingly. Further, this study will shed light on the causes of perinatal mortality, including whether studies use a recently introduced unified classification system (ICD-PM)."
Competing Interests: No competing interests were disclosed. Close
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Version 2

VERSION 2 PUBLISHED 23 Sep 2022

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	1	2
Version 2 (revision) 08 May 24
Version 1 23 Sep 22	read	read

Vivek V Shukla, The University of Alabama at Birmingham, Birmingham, USA
Anna Akselsson, Sophiahemmet University, Stockholm, Sweden

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Reviewer Report

22 Views

25 Aug 2023 | for Version 1

Anna Akselsson, Sophiahemmet University, Stockholm, Sweden

22 Views Cite this report Responses(1)

Approved With Reservations

Is the rationale for, and objectives of, the study clearly described?

Yes
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Partly
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Stillbirth, fetal movements, antenatal care

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Responses (1)

Author Response

10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

Thanks very much for reviewing our paper. Our responses to the specific points are discussed in the following bullet points.

Introduction: Well written and includes the most important information. However, research question nr 1 is contradictory to one of the exclusion criteria. The sentence "We will also exclude studies that focus on specific populations (e.g., high-risk mothers)." in exclusion criteria versus "What is the overall perinatal mortality rate and how does this vary in different contexts (geographic location, study setting) in East Africa?".
Question: Can you be more specific in exclusion criteria of when to exclude specific populations?

Thank you for your comment and question. We plan to exclude studies that were conducted on specific populations, for instance, high-risk mothers, that don’t reflect the population, and frequently lack a population denominator. However, if studies report the population denominator (vs the facility denominator) or report the effect size after comparing with low-risk mothers, we will not exclude them.

Methods: Clearly written and structured well. I miss information about how you obtain unpublished data and how you will handle missing values in the dataset, are you planning to handle missing values by imputation? I guess a lot of studies from East Africa will have many missing values to consider. A lot of potential risk factors and confounders may not be available in the studies you include. Will you publish a statistical analysis plan later on describing this matter?
Question: How will you obtain unpublished data and how are you planning on handle missing data?

We will try to get unpublished internal reports and/or aggregate data from HDSS sites to complement published sources, using our connections to investigators in the region.
We will assess the missing data and then consider the strategies for handling it, including consideration of imputation, if appropriate. We have incorporated this into the meta-analysis section. “For unpublished data from the internal reports/ aggregate data from HDSS sites, We will assess the gaps in the data and deliberate on effective strategies to manage them. This may encompass the possibility of imputation, if appropriate.”

Figure 1 is good and clarifies the process, "Ante Natal Care" should be "Antenatal care"
Question: In figure 1, can you check the spelling and change where necessary?
Thank you for this. Now, “Ante Natal Care” has been corrected into “Antenatal care.

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Competing Interests

No competing interests were disclosed.

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Reviewer Report

34 Views

20 Jul 2023 | for Version 1

Vivek V Shukla, The University of Alabama at Birmingham, Birmingham, Alabama, USA

34 Views Cite this report Responses(1)

Approved With Reservations

Is the rationale for, and objectives of, the study clearly described?

Yes
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Perinatal Epidemiology

Respond to this report

Responses (1)

Author Response

10 May 2024

Yohanis Alemeshet, London School of Hygiene & Tropical Medicine, London, UK

Thank you very much for reviewing our paper. Our responses to the specific points are discussed in the bullet points following the raised comments/questions.

Abstract: The abstract summarises the study objectives, methods, and expected outcomes. However, it lacks specific details regarding the population, interventions, comparisons, and outcomes (PECO) framework, which are essential for understanding the scope of the study.

Thank you for this comment. Specific details of the population, exposure comparisons and outcomes are now included in the abstract. "The study population includes all fetuses and newborns from ≥22 weeks of gestation (birth weight ≥500gm) to 7 days after birth, with reported causes or/and determinants as exposure and perinatal mortality (stillbirths and/or early neonatal deaths) as an outcome.

Introduction: The introduction could benefit from providing more information on perinatal mortality in East Africa. For instance, it would be helpful to include statistics or prevalence rates of perinatal mortality in the region to emphasise the significance of the problem. Additionally, discussing the socioeconomic and healthcare factors specific to East Africa that may contribute to perinatal mortality rates would provide context and enhance the reader's understanding.

In the second paragraph, we have incorporated more information specific to East Africa, including some statistics and relevant factors like socioeconomic and healthcare factors specific to the region.

Significance and implications: The introduction could provide a statement on the importance of the study and the potential impact on research and practice. It would be beneficial to highlight how the meta-analysis results can contribute to improving perinatal health outcomes in East Africa, inform policy decisions, or guide future research directions.

At the end of the introduction, the following statements are added to indicate the significance and implication of this study: "Hence, in this systematic review, we aimed to describe the burden, causes and risk factors of perinatal mortality in East Africa, using the most up-to-date information, to determine progress in achieving the ENAP 2030 targets and direct policymakers to allocate resources to the likely most effective interventions to prevent preventable perinatal deaths."

Rationale for the study: The introduction lacks a clear and concise statement of the research gap or rationale for conducting the meta-analysis. It is important to explicitly state why a meta-analysis is needed for the specific region "East Africa" and how it will contribute to the existing body of knowledge.

The rationale for conducting this study in East Africa is now more clearly indicated in the second paragraph by adding the following statement – ". . . Perinatal mortality in the region was one of the highest, with 34.5 deaths per 1000 births ¹. East Africa also has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa ^2,3. Reducing perinatal mortality in this region is critical; counting the number of deaths precisely and consistently classifying causes and risk factors for perinatal mortality (one of the objectives of the Every Newborn Action Plan), is essential to inform effective interventions ⁴."

Methods: Search Strategy: The comprehensive search strategy includes multiple databases and sources to ensure broad coverage of relevant studies. Specific search terms and Boolean operators are helpful in enhancing transparency and reproducibility.

Thank you for this comment. The specific search terms and Boolean operators used in Medline were included in the protocol, and to enhance transparency and reproducibility, we will also report the search strategies with specific terms and Boolean operators used in each database when we submit the systematic review results. We have also stated this in the protocol under the search strategy section.

Eligibility Criteria: The inclusion and exclusion criteria are well-defined, specifying the types of studies, population, interventions, comparisons, and outcomes of interest. Eligibility criteria are clearly described, including the inclusion of both published and unpublished studies. However, it would be helpful to provide a justification for the selected time frame (January 2010 to June 2022) and discuss potential limitations or biases that might arise from excluding studies published before 2010 or after June 2022.

We decided to consider the timeframe from 2010 until the end of 2022, because the aim of this study is to review the up-to-date information in perinatal mortality, and to ensure that we use sufficient data. Therefore, the following statement is added under the sub-title Years and language considered for study recruitment ". . . because it aims to examine up-to-date information regarding perinatal mortality and the advancements made towards attaining the 2030 goals, whilst ensuring sufficient years are assessed to maximize data included in the analysis.“

Language Consideration: It is mentioned that articles reported in any language will be considered, but it would be helpful to mention whether language translation services will be used and the process of extraction for such studies.

We plan to consult a specific language expert to translate other languages that authors do not speak, and we will also use language translation softwares.

Data Collection: The data extraction process is adequately described, mentioning the key information to be collected. However, the title and abstract screen by a single investigator is sub-optimal. Adding a second reviewer to screen and a third to resolve conflicts would be a better approach.

Thank you for this, We have corrected this as "Titles and abstracts of remaining studies will be screened by Y.A.A., and N.A"

Definitions: Stillbirths defined as "fetal death at ≥500g/≥22 weeks gestation or ≥1000g /≥28 weeks gestation" is confusing. How do the authors plan to ensure comparability across studies?

We are considering this broad definition to look at the variation of definitions across different studies; however, in our meta-analysis, we will only consider studies with similar definitions (≥1000g /≥28 weeks gestation).

The critical appraisal plan is robust.

Risk of Bias Assessment: The protocol mentions using the Joanna Briggs Institute quality assessment tool for observational and trial studies. Please clarify how the risk of bias will be evaluated and incorporated into the analysis. Will there be any secondary analyses with studies that have been identified as having a low risk of bias? Consider conducting a sensitivity analysis to explore the impact of different inclusion criteria or the exclusion of specific studies on the overall findings.

Thank you for this, in order to check the risk of bias we will use the Risk Of Bias In non-randomized Studies – of Exposure (ROBINS-E), and we will consider a sensitivity analysis to investigate how variations in the inclusion and exclusion of high-risk bias studies can affect the overall. A statement describing this is added under the critical appraisal of individual studies section.

Results: A descriptive paragraph elaborating the expected results would be helpful for readers.
Discussion: I suggest presenting the findings of the published meta-analysis on the subject. What factors did they identify, their impact, and how would the proposed analyses add to the existing literature and its likely impact? I would also add a section on limitations and how the authors have tried to address the limitations.

We tried to consider both the expected outcome and discussion under the Discussion and Conclusion section added the following paragraph "Evidence shows that East Africa has the weakest economy across Sub-Saharan Africa, and utilisation of reproductive health services (facility deliveries, skilled delivery assistance, and 4+ antenatal visits) in East and Central Africa is lower than in other areas of Sub-Saharan Africa.
Although there is no specific systematic review and meta-analysis in Eastern Africa, a meta-analysis of demographic and health surveys in Sub-Saharan Africa indicated that the pooled perinatal mortality in East Africa was 34.5 (95% CI: 32.2, 36.8) per 1000 births. However, the data from demographic and health surveys suffered from underreporting as data is collected retrospectively (deaths happening in the past five years). Another study conducted in Sub-Saharan Africa reported that perinatal mortality in East Africa was 49.88 (28.60, 71.18) per 1000 births and low birth weight, primiparity, history of perinatal loss, multiple gestation, preterm birth, and birth interval <2 years were identified as determinants of perinatal mortality 4. Although it is crucial to consider studies that report only stillbirths or early neonatal deaths, this study did not consider specific studies on either stillbirths or early neonatal deaths. Therefore, this review will consider all studies in perinatal mortality, including stillbirths and early neonatal death-only studies, and the analysis will be done accordingly. Further, this study will shed light on the causes of perinatal mortality, including whether studies use a recently introduced unified classification system (ICD-PM)."

View more View less

Competing Interests

No competing interests were disclosed.

Alongside their report, reviewers assign a status to the article:

Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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Burden, causes, and risk factors of perinatal mortality in Eastern Africa: a protocol for systematic review and meta-analysis

Abstract

Keywords

Introduction

Research questions

Methods

Protocols used for reporting and protocol registration

Eligibility criteria

Inclusion and exclusion criteria

PECO search guide

Study designs

Study setting and time frame

Years and language considered for study recruitment

Publication status

Information sources

Search strategy

Table 1. Summary of search strategy in Ovid Medline electronic database.

Study records

Data management

Selection of studies

Data collection process

Data items

Figure 1. Conceptual framework for causes and risk factors of perinatal mortality, adapted and modified from Mosley and Chen33.

Outcomes and prioritization

Critical appraisal of individual studies

Data synthesis

Meta-analysis

Heterogeneity test

Subgroup and sensitivity analysis

Publication bias

Conclusion

Study status

Data availability

Reporting guidelines

References

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Open Peer Review

Reviewer Status

Reviewer Reports

Comments on this article

Competing Interests Policy

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Figure 1. Conceptual framework for causes and risk factors of perinatal mortality, adapted and modified from Mosley and Chen³³.