Skip to main content

Improving children’s health and development in British Columbia through nurse home visiting: a randomized controlled trial protocol

Abstract

Background

Nurse-Family Partnership is a nurse home visitation program that aims to improve the lives of young mothers and their children. The program focuses on women who are parenting for the first time and experiencing socioeconomic disadvantage. Nurse visits start as early in pregnancy as possible and continue until the child reaches age two years. The program has proven effective in the United States – improving children’s mental health and development and maternal wellbeing, and showing long-term cost-effectiveness. But it is not known whether the same benefits will be obtained in Canada, where public services differ. The British Columbia Healthy Connections Project therefore involves a randomized controlled trial evaluating Nurse-Family Partnership’s effectiveness compared with existing (usual) services in improving children’s mental health and early development and mother’s life circumstances. The trial’s main aims are to: reduce childhood injuries by age two years (primary outcome indicator); reduce prenatal nicotine and alcohol use; improve child cognitive and language development and behaviour at age two years; and reduce subsequent pregnancies by 24 months postpartum. Potential explanatory factors such as maternal mental health (including self-efficacy) are also being assessed, as is the program’s impact on exposure to intimate-partner violence. To inform future economic evaluation, data are also being collected on health and social service access and use.

Methods/design

Eligible and consenting participants (N = 1040) are being recruited prior to 28 weeks gestation then individually randomized to receive existing services (comparison group) or Nurse-Family Partnership plus existing services (intervention group). Nurse-Family Partnership is being delivered following fidelity guidelines. Data are being collected during in person and telephone interviews at: baseline; 34–36 weeks gestation; and two, 10, 18 and 24 months postpartum. Additional data will be obtained via linkages from provincial datasets. Recruitment commenced in October 2013 and will continue for approximately three years.

Discussion

This trial will provide important information about the generalizability of Nurse-Family Partnership to the Canadian context. Findings will be published in peer-reviewed journals and shared with policymakers and practitioners through extensive public health collaborations already underway.

Trial registration

Registered July 18, 2013 with ClinicalTrials.gov Identifier: NCT01672060.

Peer Review reports

Background

Nurse-family partnership

Developed nearly 40 years ago by Olds and colleagues in the United States (US), Nurse-Family Partnership (NFP) is a nurse home visitation program that aims to improve the lives of young, first-time mothers and their children who are experiencing socioeconomic disadvantage [14]. NFP is based on theories of human ecology, self-efficacy and attachment and aims to improve prenatal health and parenting while also improving life course outcomes for both children and mothers. The program concentrates on first-time mothers who are theorized as being more receptive to parenting education and support [2]. NFP starts as early in pregnancy as possible (with first visits no later than the end of the 28th week of gestation) and continues until children reach age two years [14].

In the NFP program, nurses provide frequent home visits. The goals for these visits include: 1) improving prenatal health behaviours; 2) increasing sensitive and competent parenting; 3) reducing the risks of child behaviour and other mental health problems; and 4) helping mothers improve their economic self-sufficiency, e.g., through fewer subsequent pregnancies, longer intervals between pregnancies and greater workforce participation. Nurses receive extensive education and resources to use in the home visits, as well as ongoing supervision to ensure that they are not only highly skilled, but also well supported [14]. Nurses have proven to be the most successful home visitors because of their training and expertise, as well as their professional credibility with families [5].

NFP has been evaluated in three randomized controlled trials (RCTs) in the United States (US) – in Elmira, New York, Memphis, Tennessee and Denver, Colorado. Results from these RCTs have been reported in numerous articles, as have long-term follow-up findings over 20 years [520]. NFP has shown several robust and enduring effects on maternal and child health outcomes, including decreased mortality due to preventable causes [520]. Two independent research groups have also conducted comprehensive cost-benefit analyses of NFP in the US. The Rand Corporation estimated net returns of US $2.88 for every dollar invested, with returns for the highest-risk families nearly doubled at US $5.70 for every dollar invested [21]. Similarly, the Washington State Institute for Public Policy estimated a return on investment of more than US $17,000 for every family served [22]. Both evaluations factored in averted costs across multiple public sectors over 10–15 years, including reduced healthcare, income assistance and child protection spending. Notably, averted public expenditures were greatest for the most disadvantaged mothers and children, underscoring the importance of offering NFP to those at higher risk [23].

Results are also now available from trials of NFP conducted outside the US [24, 25]. Findings from a trial conducted in the Netherlands indicated that in comparison to existing health and social services, NFP reduced prenatal smoking, increased breastfeeding, reduced child protection reports, and reduced exposure to intimate-partner violence [2628]. However, an RCT evaluating NFP in England demonstrated no additional benefits for children or mothers compared to usual health and social services [29]. The differing findings across the American, Dutch and English trials underscore the need to conduct RCTs in countries outside the US prior to widespread implementation – to ascertain NFP’s effectiveness in comparison with existing services for this disadvantaged population [30]. Interventions may well have different outcomes in different contexts, particularly if existing services differ [31, 32].

Evaluating nurse-family partnership in Canada

NFP has been shown to decrease childhood injuries and improve children’s mental health and development [519]. In Canada, an estimated 13 % of children (or nearly 700,000) are affected by mental disorders at any given time, with these disorders constituting a leading health problem for children [33]. Mental disorders in childhood then generally persist into adulthood, with a wide range of negative consequences [3436]. Anxiety, substance use, conduct and depressive disorders are among the most common childhood disorders – that may be preventable through programs such as NFP [33]. Younger mothers are also more likely to experience limited education and low income – factors associated with increased risk of child injuries and poor child cognitive and behavioural development [35, 3740]. Therefore it is vital to intervene as early as possible to reduce avoidable adversities and to avert long-term consequences such as preventable mental disorders. Yet NFP has never been tested in Canada.

Work began in Canada in 2008 with an Ontario-based pilot study, in keeping with the international replication guidelines for NFP [30, 41]. This pilot involved first adapting NFP nurse and participant educational materials to the Canadian context. Then NFP’s feasibility and acceptability were assessed with over 100 mothers and children. NFP was well received by these mothers – and by nurses, family members and community partners, laying the foundation for conducting an RCT in British Columbia (BC) [41, 42].

In BC, children’s mental health has long been a priority, starting in 2003 with a five-year children’s mental health plan, and continuing in 2010 with a 10-year mental health plan for the entire provincial population [43, 44]. The 10-year plan made prevention a high priority, featuring nurse home visitation for disadvantaged first-time mothers and their children as a central initiative. Planning for the BC Healthy Connections Project or BCHCP – involving an RCT evaluating NFP – commenced in 2010. The RCT is being jointly led by researchers at Simon Fraser University (SFU) and McMaster University – in close collaboration with senior policymakers in the BC Ministries of Health and Children and Family Development, and with four regional BC Health Authorities (Fraser Health, Interior Health, Island Health and Vancouver Coastal Health). (A fifth regional Health Authority, Northern Health, also participates in the collaboration, but not in the RCT.)

The RCT is accompanied by two adjunctive studies – a Process Evaluation investigating NFP’s nursing implementation in BC, and the Healthy Foundations Study, a biological evaluation of NFP’s impact on child health [42, 45]. Five Health Authorities are participating in the Process Evaluation, while Fraser Health and Vancouver Coastal Health are participating in the Healthy Foundations Study.

Methods/design

Research aim

The aim of the trial is to evaluate NFP’s effectiveness compared with existing services in improving children’s mental health and early development and mother’s life circumstances. One primary outcome indicator has been identified: the average number of physician encounters per child for (intentional and unintentional) injuries, measured in community/outpatient, emergency and hospital settings from birth through to age two years. Four secondary outcome indicators have also been identified: prenatal nicotine and alcohol use; child cognitive development (language and cognitive ability) at age two years; child behaviour (internalizing and externalizing problems) at age two years; and the incidence of subsequent pregnancies by 24 months postpartum. (See Tables 4 and 5.) Potential explanatory factors such as maternal mental health (including self-efficacy) are also being assessed, as is the program’s impact on exposure to intimate-partner violence (IPV), a novel addition through the Canadian NFP curriculum [46]. Data are also being collected on health and social service access and use – to set the stage for long-term economic evaluation.

Study design

Prior to 28 weeks gestation, eligible and consenting participants (N = 1040) complete a baseline assessment and are individually randomized to receive existing services (comparison group) or NFP plus existing services (intervention group). NFP is being delivered following fidelity guidelines – with women being offered the program starting as early as possible in pregnancy and continuing until children reach age two years [41, 47]. The trial opened to enrollment in October 2013 and enrollment will continue for approximately three years, with data collection ongoing for 2.5 years thereafter or until the last enrolled participant’s child reaches age two years.

Settings

BC has a population of 4.6 million dispersed across an area of nearly 950,000 km2 [48]. Regional Health Authorities are responsible for providing all local public health and healthcare services, with the Ministry of Health overseeing province-wide standards and providing funding [49]. Regarding specific settings for the RCT, each regional Health Authority is further divided into Local Health Areas that delineate smaller geographic foci for service delivery. The BC Ministry of Health and the Health Authorities together identified particular Local Health Areas where NFP delivery would be feasible, i.e., where there was sufficient population to justify the public health nursing resources needed to deliver NFP. As part of the BCHCP’s policy and practice collaborations, Health Authorities are hiring and overseeing the public health nurses (PHNs), who then receive their NFP education, preparing them to deliver the program to the intervention group as part of the RCT. The four participating Health Authorities are also the RCT’s main referral source. Table 1 describes the participating Local Health Areas that include a range of urban, suburban and smaller communities.

Table 1 Participating local health areas

Public health nurse preparation

Nurse preparation is critical, as these practitioners are central to the NFP intervention. Starting in 2012, Health Authorities recruited a cadre of approximately 75 experienced PHNs then sponsored intensive education to prepare them for delivering NFP through the RCT, and to prepare their supervisors. (Note that BC PHNs typically hold baccalaureate degrees, in addition to having a decade or more of public health experience.) The US NFP National Service Office provided BC’s NFP education initially, but BC is now developing the capacity to provide this education locally. A novel aspect of this effectiveness trial is the evaluation of NFP’s impact on maternal exposure to IPV. Previous NFP trials have indicated that when nurse-visited women reported high rates of IPV, reductions in child maltreatment significantly declined [16]. Therefore, IPV modules were included in the BC nurses’ education [46].

NFP PHNs and supervisors also participated in an education pilot to consolidate and hone their skills by delivering the full NFP program to a small caseload of young women – who served as “guiding clients.” Identified through usual public health referral sources, nearly 300 pregnant women provided written informed consent to participate as guiding clients. They have received NFP, but no research data were collected. All subsequently recruited PHNs no longer have guiding clients, but rather directly observe and practice through a mentorship model now led by experienced BC NFP nurses.

Nurse-family partnership intervention

PHNs deliver NFP to eligible and consenting women through regular home visits throughout the pregnancy and continuing until the child’s second birthday – up to 64 visits in total over 2.5 years (if the program starts by the 16th week of pregnancy). Each visit typically lasts 60–90 min. PHNs use visit-to-visit guidelines that were adapted for Canadian settings [41, 47]. Beyond their intensive NFP education, PHNs also receive regular individual and team reflective supervision and support to ensure fidelity to essential elements of the NFP program model. Table 2 outlines the Canadian NFP model elements [41, 47]. As part of these elements, each participant in the NFP intervention arm is also assigned to one specific PHN for the duration of program delivery (wherever possible) to facilitate a close and continuing relationship [50]. For the duration of RCT recruitment, NFP is only available in BC through the trial.

Table 2 Canadian nurse-family partnership model elements

Existing services

Within BC’s universal healthcare system, all trial participants, including those receiving NFP, are eligible to receive existing services (usual care) provided in their Health Authority. Existing health services for pregnant women and young children vary across BC but may include: primary healthcare services, provided by physicians and also by midwives in some circumstances; specialist physician services; public health programs including pregnancy screening and outreach, prenatal classes and brief forms of home visiting by (non-NFP) nurses or paraprofessionals; and a variety of targeted and universal parenting and early child development programs. Health Authorities also provide adult mental healthcare including substance misuse and harm reduction services. In BC, all basic public health services are typically provided at no cost. There is also no cost for BC’s universal healthcare services including physician, emergency and hospital visits – although there may be costs associated with prescription medications, unless the family meets low-income eligibility criteria [49]. A wide array of related social services are also offered in BC by the federal and provincial governments, municipalities and local charitable groups including: employment assistance; child benefits; income assistance; education assistance; crisis interventions; child protection programs; justice services; shelter and housing supports; and food banks. All these health and social services are currently offered in BC. However, it is not currently known how much local availability varies and whether young mothers and their children actually access and use these services – particularly those experiencing socioeconomic disadvantage. Consequently, data on health and social service access and use are being gathered for all participants throughout the trial.

Eligibility criteria

For this RCT, eligibility criteria were informed by: 1) NFP model elements; [41, 47] 2) criteria used in previous NFP RCTs; [8, 11, 14, 24, 25] and 3) research literature indicating that maternal socioeconomic disadvantage is associated with child injuries [38, 39, 51]. Participant inclusion and exclusion criteria are outlined in Table 3.

Table 3 Participant inclusion/exclusion criteria

First nations and aboriginal women and children

In BC, First Nations and Aboriginal or Indigenous peoples, including Métis peoples, may live on designated “reserve” lands or in communities outside these lands. A pan-BC First Nations Health Authority holds responsibility for all public health and healthcare programs regardless of location – with supports from the BC Government and the regional Health Authorities [48]. Respecting this governance process, for this RCT, all eligible women self-identifying as First Nations or Aboriginal or Indigenous who are living “off reserve” at time of enrollment (i.e., randomization into the trial) are invited to participate if they choose. However, First Nations and Aboriginal or Indigenous women who are living “on reserve” at the time of enrollment are not eligible for the RCT.

Recruitment

Across BC, Health Authorities have established prenatal registries to promote referrals to public health. The main referral sources to these registries are primary healthcare providers including physicians and midwives, as well as youth-serving agencies including schools. The goal is to ensure that all pregnant women are referred to Health Authority public health teams as early as possible in gestation. Once women are referred to prenatal registries, PHNs first offer existing services and only after this, screen and refer potentially eligible women to the Scientific Team at SFU.

Scientific field interviewers (who are involved in recruitment and data collection, but masked to intervention assignment), then contact women by telephone to introduce the RCT, assess eligibility and schedule an in-person interview. During the interview, the scientific field interviewers confirm eligibility, obtain written informed consent and administer the baseline assessment. Next, a senior member of the Scientific Team (who is not involved in recruitment or data collection) follows a strict randomization protocol outlined below to assign participants to either the intervention or comparison groups and informs women and referring Health Authorities of the randomization allocation. Health Authorities then initiate provision of NFP (and existing services) accordingly.

Randomization

An unpredictable randomized sequence protocol was designed to allocate women in a 1:1 ratio to either the comparison (existing services) or intervention (NFP plus existing services) groups, and to ensure adequate concealment of randomization assignment [52]. A separate randomization schedule was generated for each of the 26 participating Local Health Areas within the Health Authorities using constrained randomization (permuted block design), wherein the smaller of the two block sizes is applied in areas where fewer than 18 women a year are expected to be randomized. The specific block sizes were chosen as the best trade-off between the loss of power associated with the use of block randomization and ensuring a balance in the number of women allocated to each trial group in the smaller sites, while also enabling management of NFP nursing workloads in both small and large Local Health Areas. The Scientific Team follows strict protocols for safeguarding administration of the group assignment schedule – to promote the integrity of allocation and to reduce the possibility of releasing assignments before a person has been verified as ready for that assignment [53]. Participants are counted as randomized as soon as the intervention allocation is issued and continue to be counted according to the group assigned, regardless of the course of intervention, according to intention-to-treat principles [53]. Participants are encouraged not to reveal their group allocation to the scientific field interviewers as the trial proceeds.

Outcome indicators and measures

The BCHCP trial outcome indicators and measures were explicitly chosen to enable replication of some of the more robust US trial findings, while also addressing potential explanatory factors and indicators of salience for BC policy and practice. Tables 4 and 5 provide an overview of the measures at each assessment point. Names of validated scales/instruments are provided with citations, including those from which individual items were selected for this trial.

Table 4 Maternal outcome indicators and assessment points
Table 5 Parenting and child outcome indicators and assessment points

Primary outcome indicator

The primary outcome indicator is child injuries from birth through 24 months. Independent data on healthcare encounters for child injuries will be obtained from personal records made available through secure data-sharing agreements with the BC Ministry of Health, which accesses and holds data on healthcare encounters across the province. These data sources include: BC Medical Services Plan physician billing records, which capture outpatient/community and emergency encounters (including dates of service and diagnoses); National Ambulatory Care Reporting System records, which capture emergency encounters (including dates of service, presenting complaints, discharge diagnoses and discharge dates); and Discharge Abstract Database records, which capture hospital encounters (including diagnoses and admission and discharge dates). These databases use diagnostic codes from the World Health Organization’s International Classification of Diseases (ICD) (9th and 10th editions). The trial will use the injury diagnosis codes and cause of injury codes pertaining to external injuries (e.g., fracture, burn, ingestion, open wound).

Secondary outcome indicators

The secondary outcome indicators are: prenatal nicotine and alcohol use; child cognitive development (language and cognitive ability) at age two years; child behaviour (internalizing and externalizing problems) at age two years; and the incidence of subsequent pregnancies by 24 months postpartum. (See Tables 4 and 5.)

Frequency and nature of data collection to assess trial outcomes

Data are being collected via multiple methods and from multiple sources including: maternal self-report surveys, maternal and child observational and cognitive testing, and data linkage as well as data extracts. Scientific field interviewers verbally administer survey items and record the responses, to ensure comprehension and accuracy. For maternal self-report items prone to response bias, e.g., prenatal substance use and IPV exposure, questions are being administered using audiotaped recordings, with participants responding confidentially on paper and responses being placed in sealed envelopes. Data-sharing agreements were established between the Children’s Health Policy Centre at SFU and the BC Ministries of Health and Children and Family Development to facilitate data linkage regarding personal data (e.g., healthcare encounters for child injuries, substantiated cases of child maltreatment) documented in provincial datasets as well as NFP nurse assessment data. Data on neonatal outcomes are being provided through the BC Perinatal Database Registry.

Women participate in six data collection interviews from early in pregnancy until their child reaches two years of age. The interviews are conducted by scientific field interviewers: in person at baseline; by telephone at 34 weeks gestation; in person or by telephone at two months (to strengthen rapport and further encourage retention); in person or by telephone at 10 and 18 months postpartum; and in person at 24 months postpartum. Interviews typically take between 60 min (telephone) and 120 min (in person). Figure 1 depicts the participant pathways and interview schedule.

Fig. 1
figure 1

Participant pathways and interview schedule

Scientific field interviewers have baccalaureate or master’s degrees, but no clinical training (in contrast with other recent NFP RCTs) [24, 25]. The Scientific Team therefore provides rigorous training that prepares interviewers to: rigorously assess socioeconomic eligibility criteria; manage large participant caseloads spanning wide geographic areas; track participants who have limited phone access and who move frequently; conduct in-depth interviews and record sensitive personal data in challenging community settings; follow intention-to treat protocols; build and sustain participant engagement with the trial; and discern and report adverse events.

Both prior to and during the trial, the Scientific Team at SFU provides research orientation sessions to NFP PHNs, supervisors, the BC Ministry of Health Provincial NFP Coordinator, and relevant Health Authority public health staff (e.g., managers, directors and administrative support staff) on “best-practice” procedures for RCT implementation.

Participant retention

Based on a review of the research literature, the Scientific Team at SFU developed a detailed retention protocol [5456]. This protocol includes the following steps and elements.

  • Trial identification materials were developed including trial logo, business cards, letterhead and website;

  • Participants are assigned to the same scientific field interviewer for the duration of the trial, wherever possible, to maintain strong trial rapport;

  • Interviews are held at a wide range of times including on weekends to accommodate participants’ schedules;

  • Participants receive gift cards after each interview to acknowledge their time and effort;

  • Participants may contact the Scientific Team using a toll-free line, e.g., if they are moving or need to change appointments;

  • Participants are contacted by their scientific field interviewer shortly before, and between, interviews using preferred modes of communication, e.g., texting;

  • Participants receive birthday cards for their infants; and

  • Participants provide contact information for third parties (e.g., friends or family members) who scientific field interviewers may contact if they have difficulty reaching the participant.

A detailed tracking database captures participants’ progress through the trial, following Consolidated Standards of Reporting Trials (CONSORT) guidelines [57]. Informed consent is also being obtained to contact participants for long-term follow up – to set the stage for evaluating NFP’s impact across early childhood and beyond, including economic evaluation. The trial was also designed to not reveal the purpose to participants, but rather, to encourage them to share their experiences as young pregnant women and new mothers living in BC.

Statistical analysis

A statistical analysis plan was developed for this RCT, providing a detailed summary of the data analysis methodology to be used. The trial statistician and Scientific Team will verify and approve the statistical analysis plan prior to any data being examined, to prevent biasing the analyses.

Sample size calculation

The sample size is based on a minimal clinically meaningful difference in the reduction of the number of physician encounters for injuries per child in community/outpatient, emergency and hospital settings – the RCT’s primary outcome indicator. In the BCHCP trial population, the base rate of injuries per child from birth through two years is expected to be 0.30 (30 %), based on aggregate-level BC data from a 10-year cohort of children born to first-time mothers receiving income assistance, provided by the BC Ministry of Health for the trial (unpublished report). This base rate is consistent with the rate of emergency room visits for injuries (accidents and ingestions) during children’s second year of life in a previous NFP trial in Elmira, US [14]. By consensus, the Scientific Team set the minimal clinically-meaningful reduction in risk as a relative risk of 0.70, i.e., a reduction from 0.30 (30 %) in the comparison group to 0.21 (21 %) in the intervention (NFP) group. With the probability of a type I error rate (alpha) set at 0.05 (2-tailed), a sample size of n = 495 per group is needed to detect a 30 % relative risk reduction with type II error (beta) set at 0.20 (power = 80 %). Presuming 5 % attrition only for the primary outcome indicator, due to accessing personal data from provincial datasets to measure this indicator, the estimated total sample size is 1040.

Statistical analysis

The primary and secondary analyses will be conducted on an intention-to-treat basis. We will use the most recent version of MLwiN multilevel modeling software for the statistical analyses of our primary and secondary outcomes [58]. Equations for the multilevel regression models are stated in the statistical analysis plan for outcomes with Poisson and Normal distributions. Prior to analysis, data will be checked for outliers, inconsistencies and possible transformation. We predict that our sample size will be large enough for our statistical tests to be robust in the face of non-normally distributed variables. To reduce bias and loss of statistical power in our analysis of primary and secondary outcome indicators, we will use multiple imputation to estimate values for missing variables.

Descriptive statistics regarding baseline demographic, socioeconomic and personal risk variables will be used to identify any variables with a standardized difference between the groups of d > 0.05 for consideration as a candidate variable for control in the analyses. We do not expect differences among Local Health Areas in the implementation of NFP due to the rigorous education and manualized delivery of the program following core model elements. Nevertheless, we will use Local Health Area (site) for stratification purposes and test for between-site differences in NFP versus existing services outcomes.

Discussion

The purpose of this trial is to determine NFP’s effectiveness compared with BC’s existing services in improving children’s mental health and early development and mother’s life circumstances. NFP holds singular promise for young, first-time mothers and their children who are experiencing socioeconomic disadvantage – a population with high needs which has often been underserved. Yet NFP’s effectiveness has not been tested previously in Canada. The BCHCP is therefore laying the foundation for NFP to be evaluated and adapted for sustained use in BC, and potentially across Canada, should RCT findings be positive.

NFP is a time-limited intervention occurring prenatally and over the first two years of life. However, evidence from the US NFP trials suggests that important benefits may either grow stronger over time, or be revealed with new developmental advantages as children grow older. For example, some of NFP’s most compelling US findings have been demonstrated five to 20 years after the intervention ended including: reductions in child anxiety, depressive and substance misuse symptoms; reductions in serious antisocial behaviour in adolescence; demonstrations of cost-effectiveness; and decreased child and maternal mortality due to preventable causes [5-20]. Consequently, this RCT is intentionally designed to permit long-term follow up – through both robust retention efforts and the inclusion of measures predictive of longer-term outcomes, e.g., child cognitive development and behaviour. Accordingly, any inference about NFP’s success or failure based on the trial outcomes when children reach age two years will not rule out the possibility that findings may be overturned in subsequent developmental periods.

Perhaps the most unique aspect of the BCHCP is that it involves close collaborations with policymakers and practitioners within BC’s public health system, including the Ministry of Health, the Ministry of Children and Family Development and the participating Health Authorities. These research-policy-practice collaborations encourage integrated and reciprocal “knowledge exchange” throughout the trial such that findings, should they be positive, will be readily applicable in policy and practice settings across BC, and Canada. The Scientific Team hopes that by generating new evidence through the BCHCP RCT, BC policymakers and practitioners – and all Canadians – will be encouraged to take new steps to improve children’s mental health and development starting very early in the lifespan, while also improving mother’s circumstances.

Abbreviations

BC, British Columbia; BCHCP, British Columbia healthy connections project; IPV, intimate-partner violence; NFP, nurse-family partnership; PHN, public health nurse; RCT, randomized controlled trial; SFU, Simon Fraser University; US, United States

References

  1. Olds DL, Hill PL, O'Brien R, Racine D, Moritz P. Taking preventive intervention to scale: the Nurse-Family Partnership. Cogn Behav Pract. 2003;10:278–290.

    Article  Google Scholar 

  2. Olds DL. The Nurse–Family Partnership: an evidence‐based preventive intervention. Infant Ment Health J. 2006;27:5–25.

    Article  Google Scholar 

  3. Olds DL, Sadler L, Kitzman H. Programs for parents of infants and toddlers: recent evidence from randomized trials. J Child Psychol Psyc. 2007;48:355–91.

    Article  Google Scholar 

  4. Olds DL. Preventing child maltreatment and crime with prenatal and infancy support of parents: the Nurse-Family Partnership. J Scand Stud Criminol Crime Prev. 2008;9:2–24.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Olds DL, Robinson J, Pettitt L, Luckey DW, Holmberg J, Ng RK, et al. Effects of home visits by paraprofessionals and by nurses: age 4 follow-up results of a randomized trial. Pediatrics. 2004;114:1560–8.

    Article  PubMed  Google Scholar 

  6. Kitzman H, Luckey D, Olds DL, Sidora K, Cole R, Morris P, et al. Long-term effects of home visitation on maternal life course and child abuse and neglect: fifteen-year follow-up of a randomized trial. JAMA. 1997;278:637–43.

    Article  PubMed  Google Scholar 

  7. Kitzman H, Luckey D, Henderson Jr CR, Sidora K, Cole R, Morris P, et al. Long-term effects of nurse home visitation on children's criminal and antisocial behavior: 15-year follow-up of a randomized controlled trial. JAMA. 1998;280:1238–44.

    Article  PubMed  Google Scholar 

  8. Kitzman H, Luckey DW, James D, Henderson Jr CR, Hanks C, Shaver D, et al. Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and repeated childbearing: a randomized controlled trial. JAMA. 1997;278:644–52.

    Article  CAS  PubMed  Google Scholar 

  9. Kitzman H, Olds DL, Henderson Jr CR, Luckey DW, Cole K, Sidora K, et al. Enduring effects of nurse home visitation on maternal life course: a 3-year follow-up of a randomized trial. JAMA. 2000;283:1983–9.

    Article  CAS  PubMed  Google Scholar 

  10. Olds DL, Kitzman H, Cole R, Robinson J, Sidora K, Luckey DW, et al. Effects of nurse home-visiting on maternal life course and child development: age 6 follow-up results of a randomized trial. Pediatrics. 2004;114:1550–9.

    Article  PubMed  Google Scholar 

  11. Olds DL, Robinson J, O'Brien R, Luckey DW, Pettitt LM, Henderson Jr CR, et al. Home visiting by paraprofessionals and by nurses: a randomized, controlled trial. Pediatrics. 2002;110:486–96.

    Article  PubMed  Google Scholar 

  12. Olds DL, Kitzman H, Hanks C, Cole R, Anson E, Sidora-Arcoleo K, et al. Effects of nurse home visiting on maternal and child functioning: age-9 follow-up of a randomized trial. Pediatrics. 2007;120:E832–45.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kitzman HJ, Anson EA, Olds DL, Luckey DW, Arcoleo KJ, Hanks CA, et al. Enduring effects of prenatal and infancy home visiting by nurses on maternal life course and government spending: follow-up of a randomized trial among children at age 12 years. Arch Pediatr Adolesc Med. 2010;164:419–24.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Olds DL, Henderson Jr CR, Chamberlin R, Tatelbaum R. Preventing child abuse and neglect: a randomized trial of nurse home visitation. Pediatrics. 1986;78:65.

    CAS  PubMed  Google Scholar 

  15. Olds DL, Henderson Jr CR, Kitzman H. Does prenatal and infancy nurse home visitation have enduring effects on qualities of parental caregiving and child health at 25 to 50 months of life? Pediatrics. 1994;93:89–98.

    CAS  PubMed  Google Scholar 

  16. Henderson Jr CR, Olds DL, Sidora K, Kitzman H, Cole R, Smith E, et al. Preventing child abuse and neglect with a program of nurse home visitation: the limiting effects of domestic violence. JAMA. 2000;284:1385–91.

    Article  PubMed  Google Scholar 

  17. Kitzman HJ, Anson EA, Olds DL, Luckey DW, Arcoleo KJ, Hanks CA, et al. Enduring effects of prenatal and infancy home visiting by nurses on children: follow-up of a randomized trial among children at age 12 years. Arch Pediatr Adolesc Med. 2010;164:412–8.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kitzman H, Luckey DW, Cole R, Henderson Jr CR, Anson E, Eckenrode J, et al. Long-term effects of prenatal and infancy nurse home visitation on the life course of youths: 19-year follow-up of a randomized trial. Arch Pediatr Adolesc Med. 2010;164:9–15.

    Article  PubMed  Google Scholar 

  19. Zielinski DS, Eckenrode J, Olds DL. Nurse home visitation and the prevention of child maltreatment: impact on the timing of official reports. Dev Psychopathol. 2009;21:441–53.

    Article  PubMed  Google Scholar 

  20. Kitzman H, Smith JA, Knudtson MD, Anson E, Olds DL, Cole R. Effect of home visiting by nurses on maternal and child mortality: results of a 2-decade follow-up of a randomized clinical trial. JAMA Pediatr. 2014;168:800–6.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Karoly LA, Kilburn MR, Cannon JS, Rand Corp. Early childhood interventions: proven results, future promise. Santa Monica: RAND Corporation; 2005. http://www.rand.org/pubs/monographs/MG341.html. Accessed 29 July 2016.

    Google Scholar 

  22. Lee S, Aos S, Miller MG. Evidence-based programs to prevent children from entering and remaining in the child welfare system: benefits and costs for Washington. Olympia: Washington State Institute for Public Policy, Document No. 08-07-3901; 2008.

    Google Scholar 

  23. Olds DL, Henderson Jr CR, Phelps C, Kitzman H, Hanks C. Effect of prenatal and infancy nurse home visitation on government spending. Med Care. 1993;31:155–74.

    Article  CAS  PubMed  Google Scholar 

  24. Van den Heijkant S, Struijf E, Crijnen A, Hira Sing RA, Mejdoubi J, Van Leerdam F. Addressing risk factors for child abuse among high risk pregnant women: design of a randomised controlled trial of the Nurse Family Partnership in Dutch preventive health care. BMC Public Health. 2011;11:823.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Owen-Jones E, Bekkers M, Butler CC, Cannings-John R, Channon S, Hood K, et al. The effectiveness and cost-effectiveness of the Family Nurse Partnership home visiting programme for first time teenage mothers in England: a protocol for the Building Blocks randomised controlled trial. BMC Pediatr. 2013;13:114.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Mejdoubi J, Van den Heijkant SCCM, Van Leerdam FJM, Crone M, Crijnen A, HiraSing R. Effects of nurse home visitation on cigarette smoking, pregnancy outcomes and breastfeeding: a randomized controlled trial. Midwifery. 2014;30:688–95.

    Article  PubMed  Google Scholar 

  27. Mejdoubi J, Van den Heijkant SCCM, Van Leerdam FJM, Heymans MW, Hirasing RA, Crijnen AAM. Effect of nurse home visits vs. usual care on reducing intimate partner violence in young high-risk pregnant women: a randomized controlled trial. PLoS One. 2013;8(10):e78185.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Mejdoubi J, Van den Heijkant SCCM, Van Leerdam FJM, Heymans MW, Crijnen A, Hirasing RA. The effect of VoorZorg, the Dutch Nurse-Family Partnership, on child maltreatment and development: a randomized controlled trial. PLoS One. 2015;10(4):e0120182.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Robling M, Bekkers M, Bell K, Butler C, Cannings-John R, Channon S, et al. Effectiveness of a nurse-led intensive home-visitation programme for first-time teenage mothers (Building Blocks): a pragmatic randomised controlled trial. Lancet. 2016;387:146–55.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Prevention Research Center for Family and Child Health. Nurse-Family Partnership International Program. 2014. http://www.ucdenver.edu/academics/colleges/medicalschool/departments/pediatrics/research/programs/prc/research/international/Pages/international.aspx. Accessed 29 July 2016.

  31. Durlak JA, DuPre EP. Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation. Am J Community Psychol. 2008;41:327–50.

    Article  PubMed  Google Scholar 

  32. Olds DL. Building evidence to improve maternal and child health. Lancet. 2016;38:105–7.

    Article  Google Scholar 

  33. Waddell C, Shepherd CA, Schwartz C, Barican J. Child and youth mental disorders: prevalence and evidence-based interventions. Vancouver: Children's Health Policy Centre; 2014.

    Google Scholar 

  34. Costello EJ, Mustillo S, Angold A, Erkanli A, Keeler G. Prevalence and development of psychiatric disorders in childhood and adolescence. Arch Gen Psychiatry. 2003;60:837–44.

    Article  PubMed  Google Scholar 

  35. Fergusson DM, John Horwood L, Ridder EM. Show me the child at seven: the consequences of conduct problems in childhood for psychosocial functioning in adulthood. J Child Psychol Psych. 2005;46:837–49.

    Article  Google Scholar 

  36. Jin R, Kessler RC, Walters EE, Demler O, Merikangas KR, Berglund P. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602.

    Article  PubMed  Google Scholar 

  37. Boden JM, Fergusson DM, Horwood L. J. Early motherhood and subsequent life outcomes. J Child Psychol Psych. 2008;49:151–60.

    Article  Google Scholar 

  38. Gilbride SJ, Wild C, Wilson DR, Svenson LW, Spady DW. Socio-economic status and types of childhood injury in Alberta: a population based study. BMC Pediatr. 2006;6:30.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Faelker T, Pickett W, Brison RJ. Socioeconomic differences in childhood injury: a population based epidemiologic study in Ontario. Canada Inj Prev. 2000;6:203–8.

    Article  CAS  PubMed  Google Scholar 

  40. Larson CP. Poverty during pregnancy: its effects on child health outcomes. Paediatr Child Health. 2007;12(8):673–7.

    PubMed  PubMed Central  Google Scholar 

  41. Jack SM, Busser LD, Sheehan D, Gonzalez A, Zwygers EJ, MacMillan HL. Adaptation and implementation of the Nurse-Family Partnership in Canada. Can J Public Health. 2012;103:eS42-8.

    PubMed  Google Scholar 

  42. Jack SM, Catherine N, Gonzalez A, MacMillan HL, Sheehan D, Waddell C. Adapting, piloting and evaluating complex public health interventions: lessons learned from the Nurse-Family Partnership in Canadian public health settings. Health Promot Chronic Dis Prev Can. 2015;35:8–9.

    Google Scholar 

  43. Ministry of Children and Family Development. Child and youth mental health plan for British Columbia. Victoria: Government of British Columbia; 2003.

    Google Scholar 

  44. Ministry of Health and Ministry of Children and Family Development. Healthy minds, healthy people: a 10-year plan to address mental health and substance use in British Columbia. Victoria: Government of British Columbia; 2010.

    Google Scholar 

  45. Jack SM, Sheehan D, Gonzalez A, MacMillan HL, Catherine N, Waddell C, et al. British Columbia Healthy Connections Project process evaluation: a mixed methods protocol to describe the implementation and delivery of the Nurse-Family Partnership in Canada. BMC Nurs. 2015;14:47.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Jack SM, Ford-Gilboe M, Wathen CN, Davidov DM, McNaughton DB, Coben JH, et al. Development of a nurse home visitation intervention for intimate partner violence. BMC Health Serv Res. 2012;12:50.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Nurse-Family Partnership. Nurse-Family Partnership model elements. Denver: Nurse-Family Partnership National Service Office; 2011. http://www.nursefamilypartnership.org/communities/model-elements. Accessed 29 July 2016.

    Google Scholar 

  48. British Columbia Regional Health Authorities. BC Ministry of Health. http://www2.gov.bc.ca/gov/content/health/about-bc-s-health-care-system/partners/health-authorities/regional-health-authorities. Accessed 29 July 2016.

  49. Province of British Columbia. British Columbia Ministry of Health. http://www2.gov.bc.ca/gov/content/governments/organizational-structure/ministries-organizations/ministries/health. Accessed 29 July 2016.

  50. Dmytryshyn AL, Jack SM, Ballantyne M, Wahoush O, MacMillan HL. Long-term home visiting with vulnerable young mothers: an interpretive description of the impact on public health nurses. BMC Nurs. 2015;14:12.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Hippisley-Cox J, Groom L, Kendrick D, Coupland C, Webber E, Savelyich B. Cross sectional survey of socioeconomic variations in severity and mechanism of childhood injuries in Trent 1992–7. BMJ. 2002;324:1132–4.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Schulz KF, Grimes DA. Allocation concealment in randomised trials: defending against deciphering. Lancet. 2002;359:614–8.

    Article  PubMed  Google Scholar 

  53. Meinert CL. Clinical trials: design, conduct, and analysis: 2nd ed. New York: Oxford University Press; 2012.

    Google Scholar 

  54. Bonevski B, Randell M, Paul C, Chapman K, Twyman L, Bryant J, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14:42.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Barnett J, Aguilar S, Brittner M, Bonuck K. Recruiting and retaining low-income, multi-ethnic women into randomized controlled trials: successful strategies and staffing. Contemp Clin Trials. 2012;33:925–32.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Scott CK. A replicable model for achieving over 90 % follow-up rates in longitudinal studies of substance abusers. Drug Alcohol Depend. 2004;74:21–36.

    Article  PubMed  Google Scholar 

  57. Schulz KF, Altman DG, Moher D, CONSORT Group. CONSORT 2010 Statement: updated guidelines for reporting parallel group randomized trials. Obstet Gynecol. 2010;115:1063–70.

    Article  PubMed  Google Scholar 

  58. Rasbash J, Charlton C, Browne WJ, Healy M, Cameron B. MLwiN Version 2.1. Centre for multilevel modeling: University of Bristol; 2009. http://www.bristol.ac.uk/cmm/software/mlwin/refs.html. Accessed 29 Jul 2016.

  59. Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, and Social Sciences and Humanities Research Council of Canada. Tri-Council Policy Statements: Ethical Conduct for Research Involving Humans. 2010. http://www.pre.ethics.gc.ca/eng/policy-politique/initiatives/tcps2-eptc2/Default/. Accessed 29 July 2016.

  60. Bric V, Eberdt C, Kaczorowski J. Development of a tool to identify poverty in a family practice setting: a pilot study. Int J Family Med. 2011;2011:812182–7.

    Google Scholar 

  61. Goering PN, Streiner DL, Adair C, Aubry T, Barker J, Distasio J, et al. The At Home/Chez Soi trial protocol: a pragmatic, multi-site, randomised controlled trial of a Housing First intervention for homeless individuals with mental illness in five Canadian cities. BMJ Open. 2011;1:e000323.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Greater Vancouver Regional Steering Committee on Homelessness. Results of the 2014 Homeless Count in the Metro Vancouver Region. 2014. http://stophomelessness.ca/wp-content/uploads/2014/07/Results-of-the-2014-Metro-Vancouver-Homeless-Count.pdf. Accessed 29 July 2016

  63. Statistics Canada. 2006 Census of Population. 2010. https://www12.statcan.gc.ca/census-recensement/2006/index-eng.cfm. Accessed 29 July 2016.

  64. Van Horn ML, Bellis JM, Snyder SW. Family Resource Scale-Revised: psychometrics and validation of a measure of family resources in a sample of low-income families. J Psychoeduc Assess. 2001;19:54–68.

    Article  Google Scholar 

  65. Bernstein DP, Stein JA, Newcomb MD, Walker E, Pogge D, Ahluvalia T, et al. Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Negl. 2003;27:169–90.

    Article  PubMed  Google Scholar 

  66. Tanaka M, Wekerle C, Leung E, Waechter R, Gonzalez A, Jamieson E, et al. Preliminary evaluation of the childhood experiences of violence Questionnaire Short Form. J Interpers Violence. 2012;27:396–407.

    Article  PubMed  Google Scholar 

  67. Statistics Canada. Canadian Community Health Survey Annual Component. 2011. http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=3226&lang=en&db=imdb&adm=8&dis=2. Accessed 29 July 2016.

  68. Statistics Canada. Canadian Health Measures Survey (Cycle 2). 2012. http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SurvId=129548&InstaId=62444&SDDS=5071. Accessed 29 July 2016.

  69. Schwarzer R, Jerusalem M. Generalized Self-Efficacy Scale. In: Weinman J, Wright S, Johnston M, editors. Measures in health psychology: a user's portfolio. England: Windsor; 1995. p. 35–7.

    Google Scholar 

  70. Pearlin LI, Schooler C. The structure of coping: Erratum. J Health Soc Behav. 1978;19:237.

    Article  Google Scholar 

  71. Veit CT, Ware JE. The structure of psychological distress and well-being in general populations. J Consult Clin Psychol. 1983;51:730–42.

    Article  CAS  PubMed  Google Scholar 

  72. Kessler R, Andrews G, Colpe L, Hiripi E, Mroczek D, Normand S, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32:959–76.

    Article  CAS  PubMed  Google Scholar 

  73. Statistics Canada. National Longitudinal Survey of Children and Youth (Cycle 8): Book 1 parent, child and youth. 2009. http://www23.statcan.gc.ca/imdb-bmdi/document/4450_D2_T9_V4-eng.pdf. Accessed 29 July 2016.

  74. ITCY Policy Evaluation Project. International Tobacco Control Four Country Survey. University of Waterloo, Department of Psychology. 2013. http://www.itcproject.org/surveys. Accessed 29 July 20116.

  75. Hegarty K, Bush R, Sheehan M. The composite abuse scale: further development and assessment of reliability and validity of a multidimensional partner abuse measure in clinical settings. Violence Vict. 2005;20:529–47.

    Article  PubMed  Google Scholar 

  76. Golden CJ. Stroop Color and Word Test: Cat. No. 30150M. In: A Manual for Clinical and Experimental Uses. Chicago: Stoelting; 1978.

    Google Scholar 

  77. Corrigan JD, Hinkeldey NS. Relationships between parts A and B of the Trail Making Test. J Clin Psychol. 1987;43:402–9.

    Article  CAS  Google Scholar 

  78. Shipley WC, Gruber C, Martin T, Klein A. Shipley-2. Los Angeles: Western Psychological Services; 2009.

    Google Scholar 

  79. Cho Y, Martin M, Conger R, Widaman K. Differential item functioning on Antisocial Behavior Scale Items for adolescents and young adults from single-parent and two-parent families. J Psychopathol Behav Assess. 2010;32:157–68.

    Article  PubMed  Google Scholar 

  80. Elliott DS, Ageton SS, Huizinga D. Explaining delinquency and drug use. Beverly Hills: Sage Publications; 1985.

    Google Scholar 

  81. Bavolek Stephen J. Research and validation report of the Adult-Adolescent Parenting Inventory (AAPI). Family Development Resources: Incorporated; 1989

  82. Conners NA, Whiteside-Mansell L, Deere D, Ledet T, Edwards MC. Measuring the potential for child maltreatment: the reliability and validity of the Adult Adolescent Parenting Inventory-2. Child Abuse Negl. 2006;30:39–53.

    Article  PubMed  Google Scholar 

  83. Statistics Canada. Survey on Smoking in Canada (Cycle 3). 1994. http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=4409. Accessed 29 July 2016.

  84. Squires J, Potter L, Bricker D. The ASQ user’s guide for the Ages and Stages Questionnaires: a parent completed monitoring system. Baltimore: Brookes; 1999.

    Google Scholar 

  85. Bayley N. Bayley Scales of Infant and Toddler Development. San Antonio: Psychological Corporation; 2006.

    Google Scholar 

  86. Fenson L, Dale PS, Reznick JS, Thal D, Bates E, Hartung JP, et al. Communicative Development Inventory: users guide and technical manual. San Diego: Singular Publishing Company; 1993.

    Google Scholar 

  87. Achenbach T, Edelbrock C. Manual for the Child Behavior Checklist and Revised Behavior Profile. Burlington: University of Vermont; 1983.

    Google Scholar 

  88. Achenbach TM, Ruffle TM. The Child Behavior Checklist and related forms for assessing behavioral/emotional problems and competencies. Pediatr Rev. 2000;21:265–71.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the participants and the BC NFP nurses and supervisors. We also thank our policy and practice collaborators in the BC Ministry of Health, the BC Ministry of Children and Family Development, and the Fraser, Interior, Island, and Vancouver Coastal Health Authorities. We acknowledge the local Scientific Team members who work day-to-day on implementing this trial. The extended BCHCP Scientific Team includes co-investigators Ronald Barr, Amiram Gafni, Lenora Marcellus, Lil Tonmyr and Colleen Varcoe; Harry Shannon is a consultant statistician. The extended Team’s expertise and support have been invaluable. Nicole Catherine is supported by the Djavad Mowafaghian Foundation. Andrea Gonzalez is supported by a Canadian Institutes of Health Research (CIHR) New Investigator Award. Lawrence McCandless is supported by the Natural Sciences and Engineering Research Council of Canada. Harriet MacMillan is supported by the Chedoke Health Chair in Child Psychiatry. Michael Boyle and Charlotte Waddell are supported by the CIHR’s Canada Research Chairs Program.

Funding

The trial is funded by the BC Ministry of Health with support from the BC Ministry of Children and Family Development. The participating Health Authorities (Fraser Health, Interior Health, Island Health and Vancouver Coastal Health) are funding NFP intervention delivery costs. The R. and J. Stern Family Foundation provides additional supports. Study design, data collection and data analysis are all being conducted independently of funder involvement. This manuscript was prepared independently and does not necessarily reflect the views of the trial’s funders. No funding was provided for the preparation of this manuscript.

Availability of data and materials

Not applicable.

Authors’ contributions

NC, BCHCP Scientific Director and Co-Principal Investigator, drafted this manuscript and prepared the full study protocol; she oversees and contributes to all aspects of the trial including design, implementation, measures, data collection, and ethics; she also contributes to all BC policy collaborations. AG, Co-Investigator, contributed to trial design and measures. MB, Co-Investigator, prepared the sample size calculations and statistical analysis plan and contributed to trial design and measures. DS, Co-Principal Investigator, contributed to trial design and implementation, consults on nursing quality assurance and NFP fidelity, and contributes to all BC policy collaborations. SJ, Co-Principal Investigator, adapted the NFP intervention content for the Canadian context, and developed and provided IPV-prevention education for BC NFP PHNs. KH, BCHCP Research Consultant, contributed to the full study protocol as well as to trial design, implementation, ethics, and BC policy collaborations. LH, Co-Investigator, assisted with sample size calculations. HM, Nominated Co-Principal Investigator, developed the original trial design and created connections with NFP’s US founder, enabling a Canadian trial; she also contributed to trial design and measures. CW, Nominated Co-Principal Investigator, created connections with BC policymakers, enabling the BC trial; she also oversees and contributes to all aspects of the trial, and leads the BC policy collaborations. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This RCT follows recommended Canadian and international standards for trial design, human research ethics, and data analysis and interpretation [57, 59]. We received research ethics board approvals from all participating organizations prior to commencing the research. These organizations include: SFU, the University of BC, the University of Victoria, McMaster University, the Public Health Agency of Canada, and the four participating Health Authorities. The BC Ethics Harmonization Initiative provides oversight and facilitates timely reviews for the eight BC-based organizations. Note that pregnant women age 19 years or younger who are competent to provide informed consent are deemed mature minors by the trial’s research ethics boards and may consent to participate without parental consent. An independent Data and Safety Monitoring Committee monitors recruitment, participant safety, protocol compliance and data quality.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Nicole L. A. Catherine.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Catherine, N.L.A., Gonzalez, A., Boyle, M. et al. Improving children’s health and development in British Columbia through nurse home visiting: a randomized controlled trial protocol. BMC Health Serv Res 16, 349 (2016). https://doi.org/10.1186/s12913-016-1594-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-016-1594-0

Keywords