Keywords
Gestational diabetes mellitus, community, perception, practice, challenges, Bangladesh
Gestational diabetes mellitus, community, perception, practice, challenges, Bangladesh
Diabetes in pregnancy is a neglected cause of maternal morbidity, with one in every six pregnancies affected by GDM globally1. Around 88% of cases of GDM are found in low- and middle-income countries2. Prevalence of GDM varies from 1% to 28% depending on population characteristics, diagnostic measurement and screening methods, with the South East Asian region indicated to have a high prevalence (24.2%)3. Bangladesh is one of the top ten contributors to diabetes cases globally and this number is expected to double in the next 20 years4. It is estimated that in Bangladesh alone, more than two million people suffer from diabetes but are as of yet undiagnosed5. The current prevalence of diabetes is 5.5% and the expected rise to 8.2% by 2030 renders diabetes in Bangladesh a major public health problem that has to be addressed by the national health system in the near future4,6. Diabetes is associated with transitions in lifestyle and industrialization, which is more common in urban areas but increasingly extends to rural settings7.
Findings in Bangladesh have shown that 23% of patients with diabetes mellitus are treated at outpatient departments of upazila health complexes (primary health care centers) and 23% in district hospitals (secondary health care centers)8. In the past five years, there has been an increased focus in Bangladesh on improving service delivery at the primary level and at referral centers, including union health and family welfare centers (the lowest level of primary health care centers), as well as at the community level through community clinics and community health workers9. Nevertheless, most of the programme still focuses on the provision of emergency obstetric and newborn care, with poor focus on other maternal and newborn health related areas that are on the incline, such as the impact of non-communicable diseases on maternal and newborn health10. A new operational plan provides a structure for improving care with regards to preconception, pregnancy, childbirth and the immediate postpartum period11. Areas prioritized for the provision of quality maternal and neonatal health services include populations with a high maternal mortality ratio and those living in impoverished areas and facing geographical and social disadvantages12. Bangladesh has developed the 2013–2020 Action Plan for the prevention and control of non-communicable diseases, a national strategy for maternal health that highlights the importance of GDM13.
The prevalence of GDM ranges from 8.2% in rural Bangladesh14 to 12.9%15, with estimates dependent on the diagnostic criteria used16. Undiagnosed women with diabetes in pregnancy are a key concern in Bangladesh due to the low social status of women, which results in inequalities in healthcare access and nutrition17. Women often do not receive treatment for sickness and therefore often resort to self-medication or seek care from unqualified practitioners18. Women with GDM have an increased risk of developing obstetric complications like prolonged labor and are prone to develop type-2 diabetes in the future. Their babies might be born overweight and develop childhood obesity or type-2 diabetes later in life19. As there is already an existing community network, this can be used to refer all pregnancies that have been identified at the community level for antenatal care (ANC) and GDM screening facilities20.
The aim of this study is to determine the perceptions and practices of GDM detection and management in a selected sub-district of Bangladesh and explore existing barriers to adequate detection and management of GDM.
A total of 47 face-to-face surveys and 10 in-depth interviews (IDIs) were conducted with health care providers (HCPs) and with health managers. Furthermore, 30 ANC consultations were observed at 30 primary facilities at the community, union health center and upazila health complex level. Finally, 41 facility inventories were carried out using a preformatted checklist. Table 1 provides a summary of the study methods.
This was a mixed methods study applying both quantitative and qualitative methods. It was conducted from November 2017 to January 2018 in the Mirzapur sub-district of Tangail district, Bangladesh. The sub-district has a population of 274,088, with 65 facilities including 53 community clinics, 10 union health and family welfare centres, one upazila health complex and one medical college hospital (tertiary facility). Out of 63 primary health care facilities (community clinics and union health and family welfare centers), 30 community clinics and nine union health and family welfare centers were randomly selected by simple randomization, achieved via the random number generator in Microsoft Excel 2010. The study also included the upazila health complex and medical college hospital for data collection.
A structured questionnaire was developed by the research team of the study, available as Extended data21. This questionnaire was pretested outside the study area to finalize the questionnaire. Pretesting was carried out among HCPs at one community clinic and one union health and family welfare centre in a different upazila within the district of Tangail. No changes were made to the questionnaire after pre-testing and no validity testing was performed. Then, the structured questionnaire was used to collect quantitative data from selected HCPs, which include grassroots level health workers, such as health assistants (HAs), family welfare assistants (FWAs), health inspectors (HIs), family planning inspectors (FPIs), and community health care providers (CHCPs), and also health workers from the lowest level primary health care centers such as family welfare visitors (FWVs) and sub-assistant community medical officers (SACMOs) (Table 1). The questionnaire included general information, health workers’ perspectives on GDM and availability of equipment and logistics to provide services for GDM patients in the primary health care centers. An official letter from the Mirzapur Upazila Health Complex was circulated among the health workers (n=52) in the 41 facilities, which explained the objectives and invited them to participate in the study. A copy of this letter is available as Extended data21. Four trained field data collectors were responsible for collecting data. Health workers were invited and those who willingly wanted to participate in the study were enrolled purposively. Five of the invited participants were not willing to participate as they were busy at that time with their own work. Data collection was conducted at their place of work and it took approximately 20 minutes to complete each of the face to face interviews.
Two research assistants (anthropologists) were assigned to collect qualitative data through IDIs with the HCPs working at the facility level. A pretested interview guide was used for the interviews, available as Extended data21. Pretesting was carried out among HCPs at one community clinic and one union health and family welfare centre in a different upazila within the district of Tangail. Minor changes were made to the interview guide after pre-testing. No validity testing was performed. HCPs were chosen purposively and written consent was sought before participation in the face-to-face interviews. Out of 13 respondents, three participants weren’t able to participate in the IDIs due to their other engagements. The research assistant described the objectives of the study before data collection. Each of the interviews took approximately 20–25 minutes and were conducted at the facilities. Interviews were audio recorded upon permission and the research assistant took some key notes.
A total 30 ANC checkups were observed at different facility levels. Of them, eight were at Kumudini hospital, two at the upazila health complex, eight from union health and family welfare centers and twelve from community clinics. Four trained field data collectors used a pretested checklist to do the observations, available as Extended data21. Pretesting was carried out among HCPs at one community clinic and one union health and family welfare centre in a different upazila within the district of Tangail. No changes were made to the checklist after pre-testing and no validity testing was performed.
Permission to collect the data was obtained from the health department, the patients and HCPs. The checklist contained some key areas including infrastructure, logistics, waste management and staff. The observation was made during routine antenatal check-ups at the ANC area of the facility by a doctor or nurse during the hospital working hours.
Facility inventory was conducted for 31 purposively selected community clinics, eight union health and family planning centers, one upazila health complex and from the Kumudini hospital. The field level data collectors used a structured checklist to collect the inventory data, available as Extended data21. Key areas covered supplies included furniture and durable equipment, clinical supplies and other optional equipment. During this process, the data collectors used hospital records and sought support from the responsible persons to fill out the checklist.
Quantitative data were cleaned and missing data were checked by the data supervisors. If any data were missing, the data collector revisited the home using previously collected sociodemographic data to contact participants for this purpose and collected the missing data from that responder. SPSS statistical software (version 21.0 for windows) was used for descriptive analysis.
The qualitative data were transcribed from the local language (Bengali) from audio recordings and translated into English by the anthropologists. The principal researcher randomly selected transcripts (10%) by simple randomization to review the quality of transcripts. Peer debriefing was also performed to maintain the reliability of the data. Initial open coding was performed and themes were identified, followed by selective coding, done manually by repeated reading of the transcripts. Themes were identified from the data22,23 and analyzed thematically.
The study is under the project named ‘Evaluating community-based detection and surveillance of gestational diabetes’, which has been approved by the national ethical review committee of Centre for Injury Prevention and Research, Bangladesh (CIPRB) (Memo - CIPRB/ERC/2017/20). Informed written consent was received from each of the interviewees for participation before collecting their data for the study.
The results section of this paper is presented in two sections. The first section contains information about the perceptions, knowledge, attitude and practices of the Health Care Providers (HCPs) and health managers on GDM through the provider survey and qualitative IDIs. The second section presents the findings of the ANC observations and the facility inventory checklists.
Basic knowledge about GDM. The majority of the respondents who participated in the survey had never heard of diabetes that occurs during pregnancy or gestational diabetes (81%, n=38). Furthermore, 81.2% of respondents (n=38) were not aware of the risk factors for GDM and among them, 16.6% (n=8) stated that there are no risk factors (Figure 1). Data from the IDIs gave similar findings. HCPs had no clear perception of GDM and some considered GDM to be the same as diabetes.
“There is no difference between the diabetes and gestational diabetes. When diabetes occurs in pregnancy then it is called gestational diabetes and will not cure like diabetes. All the management and treatment of diabetes during pregnancy is similar to the diabetes.” (P2, Community Health Care Provider (CHCP))
Knowledge on the complications of GDM. Around 66.6% (n=31) of HCPs did not know about GDM related complications for mothers and their babies. Furthermore, 16.7% (N=8) thought that there are no GDM related complications and 16.7% (n=8) knew that there are some GDM related complications that could affect mothers and babies (Figure 2). Some respondents stated newborns could develop abnormally, pregnant mothers may have diabetes later in life and some might develop unspecific problems as a result of GDM complications.
“I don’t know clearly about the complications. But I perceive that a GDM mother has more chances for eclampsia, pre-eclampsia, intra-uterine death, stillbirth, pre-term delivery.” (P7, HI)
Knowledge on the GDM tests. Among the 47 respondents, 54.1% (n=25) said that a GDM screening test is essential for pregnant women, 29.1% (n=14) did not know and 16.6% (n=8) said a screening test is not necessary during pregnancy. Almost none (97.8%, n=46) could mention the exact timing for when a screening test should be performed during pregnancy (Figure 3). None of the participants (100%, n=47) had knowledge of the screening process.
“We have no clear idea on gestational diabetes screening test of pregnant mothers. The test need to done during antenatal care; however, we do not practise. We need training on GDM and logistics for screening need to available during ANC.” (P4, CHCP)
Knowledge about GDM treatment. Regarding treatment, 95.8% (n=45) of the respondents did not know if there was any treatment for GDM available and 4.1% (n=2) said there is no treatment. Regarding delivery, 4.1% (n=2) mentioned that GDM patients should deliver by caesarian section and 95.8% (n=45) had no idea about the recommended mode of delivery for a woman with GDM. Regarding the necessity for follow-up after delivery, 70.8% (n=33) did not know whether follow-up was necessary and 22.9% (n=11) said postpartum follow-up is not needed for women with gestational diabetes.
“I think exercise and insulin are the only treatment for mothers who are suffering from diabetes during pregnancy” (P3, FPI)
GDM screening. Regarding the screening practice, 79.1% (n=37) of HCPs never screened pregnant women for GDM and 18.7% (n=9) had no idea about screening. In addition, 68.7% (n=32) did not know what tests are available to screen for GDM in their health facility/department and 20.8% (n=10) said they have no screening equipment at their facility. One of the respondents described how to do a blood sugar test, but none of the other respondents knew the process (97.8%, n=46).
GDM management practices. Almost all (95.8%, n=45) of the providers did not know about a management protocol for GDM affected mothers. Regarding advice given to GDM positive mothers, 91.6% of providers (n=43) did not know what to advise, 6.2% (n=3) said they do not give any advice and only one HCP (2.1%, n=1) recommended exercise, diet and insulin for GDM mothers. Almost all (95.7%, n=45) did not know about drug therapy for GDM mothers. Some (4.3%, n=2) perceived that both oral medicine and insulin can be used for GDM management.
“We don’t have any management protocol for gestational diabetes. I perceive that after a woman is diagnosed, she is immediately referred to hospital for further treatment.” (P6, CHCP)
“Insulin is the only drug of choice for a GDM patient” (P8, FWV)
“In our hospital if a mother identified with diabetes during pregnancy, we refer to district hospital for management” (P-10, Nurse)
Follow-up of GDM patients. Around half (56.2%, n=26) of respondents did not know about follow-up for GDM patients. Additionally, 27.1% (n=13) providers said they did not advise GDM mothers to go for a blood glucose checkup at secondary or tertiary facilities and 62.5% (n=29) did not know what to advise a mother suffering from GDM. Nearly all of the providers (97.9%, n=46) did not know about follow-up for women who had GDM after delivery. None of the respondents knew about newborn blood glucose checkups after delivery.
“I advised the mothers having diabetes during pregnancy to do a blood glucose test on a weekly basis at the medical college hospital” (P2, CHCP)
Nearly none of the providers (97.9%, n=46) received any special training on diabetes mellitus and/or GDM during training or on the job. Many of the interviewed providers (97.9%, n=46) never got an opportunity to deal with GDM patients. Moreover, there are limited resources (equipment, material) for testing in their facilities. As the majority of providers are not very knowledgeable on GDM, they do not feel competent to discuss the topic with the women who come for ANC. In terms of equipment, 93.7% (n=44) of the providers said they have only blood pressure devices. Only two providers (4.2%) stated that glucometers are available in their facilities and one provider (2.1%) stated the availability of a blood pressure device, an ultrasound machine, urine dipstick and leaflets on nutrition at her facility.
“I only heard about the term gestational diabetes. But I never received any training on screening. I even have a limited idea on counseling pregnant women to prevent GDM” (P1, FPI in IDI )
“We don’t have any special facilities for GDM management at our union family welfare center.” (P10, FWV in IDI)
A total of 30 ANC sessions were observed in the facilities. In 31.3% of observed consultations (n=9), blood sugar test related information was collected. Of all the observations, a high blood sugar level was found in 12.5% (n=4). In only one (4.2%) of the ANC observations did the patient receive GDM related information. None of the patients were asked about any previous history of GDM. In 45.8% (n=14) of the observations, the blood pressure of the pregnant woman was measured. In none of the ANC observations did providers counsel on GDM and provide information on the risk of developing diabetes later in life, the disappearance of GDM after pregnancy or when to diagnose. Furthermore, in none of the observed ANC consultations was a capillary sugar test or urine sugar test carried out, nor were any women referred to a laboratory for a sugar test (Table 2).
The inventories of the facilities were assessed using a structured checklist. Among the 41 facilities assessed, 95.1% (n=39) provided outpatient services. All facilities provided ANC and postnatal care (PNC) but limited equipment for essential tests like glucose tests, urine tests and hemoglobin tests for ANC. Only two (4.8%) facilities had a separate breast-feeding corner, ANC corner and PNC corner and equipment for ultrasonography and hemoglobin testing. The referral facility (Kumudini Hospital) had a consultant trained on GDM. Nine (21.9%) of the facilities provided 24/7services.
Record keeping. During September to November 2017, a total of 6805 pregnant women received ANC from 41 selected facilities. Only six GDM women were detected in the referral hospital, whereas other facilities didn’t identify any women. Among the 41 facilities, 78% (n=32) did not perform any deliveries in last three months. A total of 31 preeclampsia/eclampsia cases, 125 premature babies, 215 cases of premature membrane rupture, 45 still births and four maternal deaths were reported in Kumudini hospital but such records about obstetric and newborn complications were not available in the other facilities (Table 3).
Human Resources. Only 29.2% (n=12) of the facilities have an obstetric consultant and 17% (n=7) have a SACMO, none of whom were trained on diabetes. Moreover, 26.8% (n=11) have a midwife/FWV, almost all (93.5%, n=29) community clinics have CHCPs and 41.4% (n=17) facilities have community skilled birth attendants (CSBAs). GDM-trained medical officers and nurses are only available in Kumudini hospital.
Equipment and resources. Weighing machines were present in all facilities, 26.8% (n=11) had glucometers but only 4.8% (n=2) had glucose test strips. In terms of other equipment, 95.1% (n=39) had blood pressure devices, 7.3 % (n=3) had a fetoscope, 12.1% (n=5) had an equipped labor room (with remaining facilities having an unequipped labor room), 87.8% (n=36) had a patient examination table and 95.1% (n=39) had a baby weighing machine (scale). Laboratory testing and the availability of ultrasound scanning existed only at Kumudini Hospital and Mirzapur Upazila Health Complex. Supplies of glucose to do oral glucose tolerance tests were available only at the Mirzapur Upazila Health Complex. Metformin tablets and insulin injections were not available at any of the facilities (Table 4).
Gestational diabetes is still undetermined in the rural communities of Bangladesh. The primary health care facilities are not well equipped for GDM screening. The perception of, knowledge of and practices regarding GDM among the HCPs were found to be very poor. The majority of the findings show that HCPs do not know about GDM. There is a serious gap between the knowledge of diabetes (any type) and diabetes during pregnancy. The capacity of HCPs and resources for GDM detection and management were not available in the facilities.
An assessment of the primary health care facilities in Bangladesh found limitations regarding resources and equipment for the diagnosis and treatment of diseases. The maternal health care services were also found to be poor, especially essential tests like glucose, hemoglobin and urine protein ANC tests. HCPs at the community level were found to be incapable of conducting all the tests on pregnant women9. This study also found similar results.
The maternal health task force in 2017 raised the issue of GDM as one of the important neglected causes of maternal mortality and morbidity. The diagnosis of women with GDM during ANC was found to be neglected among the HCPs2,3, which supported this study finding. The UN Sustainable Development Goals for 2030 also emphasized the prevention of non-communicable diseases, especially gestational diabetes3.
Community health workers have already proved to be important in improving diabetes outcomes in low-income countries24. Besides this, community health workers are also useful in patient education, identification and referral of high-risk mothers25. In our study, the health workers did not have sufficient knowledge to deal with GDM. However, the well-structured health system in Bangladesh and experienced community health workers at the grassroots level are key strengths for improving the identification and treatment of GDM.
Until now, there has been no routine screening of all pregnant patients for gestational diabetes in Bangladesh. However, a national maternal and neonatal health guideline has been approved by the Ministry of Health and Family Welfare for the systematic management of affected patients based on current evidence and best practice.
Lo et al. conducted a qualitative study on the provider view on GDM and found a lack of depth of understanding and skills regarding GDM. A lack of knowledge and misperception were also found among the providers. Although specialist care is available at tertiary centers that are represented by medical colleges, GDM related activities conducted at health services, particularly at primary level, are erratic or not available26.
A cross-sectional survey on the equipment available for GDM screening in low- and middle-income countries found that primary health care facilities at a community level were not well equipped for GDM screening and management. There was a lack of medicine for the treatment of GDM indicated in that study, which also found similar barriers and challenges for the facilities to the current study27. Another study in Morocco also described similar findings regarding the knowledge and skill gaps of HCPs on GDM28.
This study addressed the perception and practices of HCPs on GDM screening and management at upazila, union and community levels in Mirzapur, Tangail district. Existing barriers for adequate detection and management of GDM are also identified.
GDM is one of the major public health issues in Bangladesh. There is a significant need for the development of knowledge and skills of HCPs to detect GDM in the community. Quality ANC during pregnancy is needed to ensure GDM screening for every pregnant woman to reduce the burden of and morbidity due to GDM in Bangladesh.
Data is stored at the Centre for Injury Prevention and Research, Bangladesh (CIPRB). Due to sensitivity of the data (contains identifying information), permission is required from the Ethical Review Committee (ERC) of CIPRB, Dhaka, Bangladesh for sharing data with a third party. Data can be requested from the CIPRB, who will contact the ERC to gain approval to share the data. The conditions for gaining data access are a formal request with a clear objective and formal permission from the ERC. Please contact the corresponding author in order to request the data through email at info@ciprb.org.
Figshare: Qualitative tools for GDM study in Bangladesh. https://doi.org/10.6084/m9.figshare.11925318.v121
- Survey Questionnaire.docx
- IDI_Discussion Guide.docx
- Revised ANC observations checklist.docx
- Inventory Checklist.docx
- Copy of official letter.pdf
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
We would like to acknowledge support of Dr Bettina Utz, PhD of Robert Koch Institut, Germany for her support and contribution in research development, analysis plan, review of the manuscript.
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Not applicable
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Metabolism, bioengineering
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
No
Are all the source data underlying the results available to ensure full reproducibility?
No
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 1 16 Mar 20 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)