Keywords
stillbirth, intervention, behaviour change, risk factors
This article is included in the Maternal and Child Health collection.
stillbirth, intervention, behaviour change, risk factors
This manuscript has been updated to reflect the reviewers’ suggestions:
See the authors' detailed response to the review by Rae Thomas
See the authors' detailed response to the review by Samah Alageel
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; BCT: Behaviour Change Technique.
Stillbirth is one of the most devastating outcomes of pregnancy that expectant parents can face. In Ireland, a stillbirth is defined as an infant born weighing 500 grams or more or at a gestational age of at least 24 weeks who shows no signs of life1. However, this definition of stillbirth is not globally accepted, with different countries using different weight or gestational thresholds, ranging from 350 grams to 1000 grams and from 20 weeks to 28 weeks2. The worldwide estimates of stillbirth rates in 49 high-income countries at 28 weeks gestation was 3.5 per 1,000 total births in 2015, with country-specific rates varying from 1.3 in Iceland to 8.8 in Ukraine3. In Ireland, the latest data published by the National Perinatal Epidemiology Centre shows that the prevalence of stillbirth was 3.8 per 1,000 births in 20174.
The stillbirth series published in the Lancet in 2016 highlighted the importance of focusing future stillbirth prevention efforts in high-income countries on targeting specific causes, risk factors, and vulnerable groups5. In high-income countries, the majority of stillbirths occur prior to labour and are associated with placental pathology6. However, previous research has shown that stillbirth is associated with a wide range of risk factors, including maternal medical factors, for example hypertensive disorders or diabetes7–9; factors associated with the woman’s obstetric history, for example having a history of previous pregnancy loss10, primiparity11 or multiple pregnancy12; pregnancy related complications such as placental insufficiency13 or fetal growth restriction14; ethnic15 and socioeconomic status16; maternal overweight and obesity17–19; and maternal age20–22. Maternal behavioural risk factors include factors such as sleep position23, smoking5,24,25, alcohol intake26,27, illicit drug use28–31 and inadequate antenatal care32,33. Such behavioural risk factors are modifiable and so provide useful targets for stillbirth prevention interventions.
Considering that some of the mentioned maternal behavioural risk factors have the potential to be modified, there has been an increase in development and implementation of antenatal behavioural interventions targeting those behaviours to reduce the risk of stillbirth. Behavioural interventions are defined here as those targeting behaviours such as smoking cessation interventions, midwifery led care, birth attendant training, alternative packages of antenatal care and diet and exercise interventions34. However, in an overview of 43 Cochrane reviews assessing 61 different stillbirth prevention approaches across the globe, few reviews were found to produce clear evidence as the effectiveness of interventions differed across settings, highlighting the importance to understand the intervention’s context34. Further, this Cochrane review of reviews had a focus on a broad range of interventions (i.e., nutritional interventions, prevention and management of infection, prevention and management of morbidities, screening and management of fetal growth), not only those with a behaviour change component. To date, there has not been any systematic review of behaviour change interventions conducted in the context of stillbirth prevention. Hence, this review is important to understand what techniques have been used previous to inform the development of theoretically robust evidence based interventions.
Previous studies have been conducted to explore facilitators and barriers influencing health behaviours during pregnancy35–37. Identifying and synthesising all existing behaviour change interventions designed in the context of stillbirth prevention, combined with the information obtained from the literature exploring factors influencing behavioural risk factors35–37, will inform the development of new strategies applicable in high-income countries. Given the variability across definitions, outcomes and measures of stillbirth, and the potential for differential intervention approaches to be used, there is a need to identify and synthesise the different components, or behaviour change techniques (BCTs), used in such interventions. A BCT is an observable, replicable and irreducible component of an intervention, an “active ingredient”, designed to alter or redirect casual processes that regulate behaviour38. Identification of BCTs in interventions allows for accurate replication of interventions and faithful implementation of interventions demonstrating effectiveness38. Hence, knowing which specific BCTs have been used within interventions is important to build cumulative evidence towards delivering effective and replicable interventions in this context. Additionally, reviewing and identifying BCTs in stillbirth prevention interventions will also enable future investigations of links between BCTs and mechanisms of action that will facilitate the optimisation of intervention effectiveness39.
To our knowledge, there has been no systematic examination of BCTs used in behaviour change interventions designed with the objective to reduce stillbirth risks. Such a review is essential to informing and improving the development of future stillbirth prevention interventions. This research will build on previous reviews of general stillbirth prevention interventions (including infection management, pharmacotherapy for prevention of pre-eclampsia, screening for diabetes, ultrasound in early and late pregnancy, antenatal cardiotocography for fetal assessment), such as the one conducted by Ota and colleages34, by focusing on those interventions with a behavioural component and by aiming to identify the BCTs used within those interventions.
The aim of this systematic review is to identify all research studies examining behaviour change interventions used in the context of stillbirth prevention within high-income countries, and to synthesise the BCTs used in these interventions.
• To identify behavioural interventions used for the prevention of stillbirth in high-income countries.
• To identify and code the BCTs used in such interventions using the Behaviour Change Techniques Taxonomy V1 (BCTTv1)38.
Details of this review have been submitted for registration to the PROSPERO database (ID CRD42021264914). Amendments made to the protocol will be acknowledged on PROSPERO and in any publications following this study. This protocol has been informed by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines for the reporting of systematic reviews40.
The “PICO” framework was used to select inclusion and exclusion criteria for this review (Table 1). For the purpose of this review, we did not select any specific definition for stillbirth because, as noted, definitions differ internationally2.
PICO framework | Eligibility criteria |
---|---|
Population or problem | Population: - Pregnant women - Women of reproductive age Setting: - High-income countries |
Intervention or exposure | Any intervention published in research articles designed to prevent stillbirth that includes a focus on behavioural risk factors. |
Comparison | Participants who were not exposed to an intervention or who receive 'standard care' |
Outcome | Changes in rates of stillbirth after intervention, no specific definition for stillbirth will be used as they differ internationally. Behaviour change techniques used in the interventions, classified using the Behaviour Change Technique Taxonomy V138 |
The following study types are eligible for inclusion: case-control studies, randomised control trials, cross-sectional studies, and quasi experimental studies. Studies will be eligible for inclusion when published in high-income countries given the differences between care systems and the challenges associate with improving pregnancy outcomes amongst low-, middle- and high-income countries. Additionally, focusing this study in high-income countries only will facilitate the use of its findings to develop behaviour change strategies applicable to such contexts. High-income countries will be defined based on the World Bank Country Classification (Gross National Income per capita of $12,696 or more in 2020)41. The findings of this systematic review will help inform the development of an intervention to be used in a high-income country setting.
A systematic literature search covering all interventions in the context of stillbirth prevention from inception to present will be performed in the following databases: CINAHL Complete, SocIndex, Web of Science, PubMed, PsycINFO and Open Grey. Searches in Open Grey and contact with authors will facilitate access to non-published articles. Additionally, we will also conduct a manual reference list searching of the identified articles.
Keyword searches will be used across four different concepts (1) Stillbirth, (2) Intervention, (3) Pregnancy and (4) Study design. The search strategy was developed for PubMed (see Table 2) but it will be adapted depending on the database in combination with database-specific filters.
Data management
Studies will be imported into Endnote, duplicates will be identified by using the automatic “Check for Duplicates” tool, as well as manually screening the results. The screening of titles will be conducted using Rayyan, which is a web platform for systematic reviews42.
Selection process
Two independent reviewers (TES, KMS) will individually screen titles, abstracts, and full articles to identify eligible studies, using our inclusion and exclusion criteria. In cases of uncertainty in title and abstract screening, studies will be included in the full text review stage. When identifying systematic reviews, a manual search of their included interventions will be conducted to ensure that all relevant interventions are included in this review. We will also perform a further manual citation search of included studies. Discrepancies will be resolved through consensus discussion and/or recourse to a third reviewer.
A PRISMA flow diagram43 will be used to show process of study screening and summarise the inclusion and exclusion criteria at each stage of the review.
Data collection process
Once the final list of studies to include in the review has been determined, all supplementary materials or additional studies related to the same intervention will be retrieved by TES before data extraction or quality assessments. When direct access is not provided to these supplementary materials online, the original study authors will be contacted to request these materials. Published manuscripts of trial outcomes and intervention protocols will be examined for intervention details.
A structured data extraction sheet using Microsoft Word will be used to extract the study characteristics (see Extended data44), which will be piloted in advanced. Data will be extracted by one reviewer (TES) and verified for accuracy by another reviewer (KMS).
Study characteristics to be extracted include:
(1) General information: Authors, title, name of intervention/approach (if applicable), year of publication, country of origin.
(2) Study characteristics: Study aims/objectives, type of study/report, stillbirth definition used, recruitment strategy.
(3) Participants: cohort size, number of people in control arm (if applicable), number of people in intervention arm (if applicable), mean age, age range, socio-economic status, education level, ethnicity, pregnancy status, relationship status.
(4) Intervention/approach details: setting, investigated topic/target behaviour, description of intervention/approach and control treatments, delivery mode, intervention duration, current stage of implementation, outcomes measured in intervention (e.g. reduction stillbirth rates, increased awareness, behaviour change), effectiveness of intervention.
The coding of the BCTs included in the identified interventions/approached will be conducted following the BCTTv1 approach38. Intervention content will be coded for presence (+) or absence (-) of the BCTs. This process will be done by two authors independently (TES, KMS) and discussion and comparison will be used to address any discrepancies. A third member of the research team (MB) will be consulted in case of disagreement. The findings of the BCT coding will be presented in tabular format. To examine the use of BCTs in the interventions, the percentage of individual BCTs across studies and the total number of BCTs per intervention will be calculated. Additionally, we will tabulate the identified BCTs in order to identify patterns across the different studies.
The Cochrane Effective Practice and Organization of Care (EPOC) risk of bias criteria45 will be used to assess the methodological quality of the included studies that will subsequently feed into the GRADE process46.
The Joanna Briggs Institute (JBI) critical appraisal checklist will be used for both descriptive and analytical cross-sectional studies.
We anticipate that a meta-analytic approach would be inappropriate for comparison of studies due to the potential high heterogeneity of the interventions and potential BCTs. Hence, we will use a narrative synthesis approach as recommended by Cochrane when a meta-analytical approach is not possible, to summarise the findings of BCTs. Studies will be grouped based on the behaviour they focus on. The results of the studies will be systematically examined by summarising the same features of each study using pre-designed data extraction sheets. The findings will also be presented in tabular form. This approach will facilitate the description of the interventions and BCTs used, taking into account quality appraisals.
While subgroup analyses may be undertaken, it is not possible to specify the groups in advance.
The PRISMA checklist43 will be used to report findings of the review. We will communicate the findings by publication in a peer-reviewed journal, and by participation in scientific meetings and national and international conferences.
Study protocol has been completed.
Database search completed.
Title screening completed.
Conducting abstract screening.
Harvard Dataverse: Study Characteristics extraction table for a protocol for a systematic review of behaviour change techniques used in the context of stillbirth prevention. https://doi.org/10.7910/DVN/0GCWXX44.
Harvard Dataverse: PRISMA-P Checklist for “A protocol for a systematic review of behaviour change techniques used in the context of stillbirth prevention". https://doi.org/10.7910/DVN/6WNOFO47.
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
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?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Implementation science, behaviour science and health psychology
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: I have conducted multiple systematic reviews and have used BCTs and implementation strategies to design interventions.
Is the rationale for, and objectives of, the study clearly described?
No
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: I have conducted multiple systematic reviews and have used BCTs and implementation strategies to design interventions.
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?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Behaviour change and disease prevention
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
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Version 1 19 Aug 21 |
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