Skip to main content

METHODS article

Front. Public Health, 18 March 2020
Sec. Public Health Policy
This article is part of the Research Topic Addressing the Inequalities in Maternal and Child Healthcare Utilization View all 15 articles

WOmen's Action for Mums and Bubs (WOMB) Trial Protocol: A Non-randomized Stepped Wedge Implementation Trial of Participatory Women's Groups to Improve the Health of Aboriginal and Torres Strait Islander Mothers and Children in Australia

\nKaren Carlisle,,
Karen Carlisle1,2,3*Catrina Felton-Busch,,Catrina Felton-Busch2,3,4Yvonne Cadet-James,,Yvonne Cadet-James2,3,5Judy Taylor,,Judy Taylor1,2,3Ross BailieRoss Bailie6Jane FarmerJane Farmer7Megan PasseyMegan Passey6Veronica MatthewsVeronica Matthews6Emily CallanderEmily Callander8Rebecca Evans,,Rebecca Evans1,2,3Janet KellyJanet Kelly9Robyn PrestonRobyn Preston10Michelle Redman-MacLaren,,Michelle Redman-MacLaren2,3,11Haylee FoxHaylee Fox8Adrian EstermanAdrian Esterman12Merrick ZwarensteinMerrick Zwarenstein13Sarah Larkins,,Sarah Larkins1,2,3
  • 1College of Medicine and Dentistry, James Cook University, Douglas, QLD, Australia
  • 2Anton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia
  • 3Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia
  • 4Centre for Rural and Remote Health, James Cook University, Mount Isa, QLD, Australia
  • 5Indigenous Education and Research Centre, James Cook University, Douglas, QLD, Australia
  • 6University Centre for Rural Health, University of Sydney, Lismore, NSW, Australia
  • 7Social Innovation Research Unit, Swinburne University of Technology, Hawthorn, VIC, Australia
  • 8School of Medicine, Griffith University, Gold Coast, QLD, Australia
  • 9Adelaide Nursing School, University of Adelaide, Adelaide, SA, Australia
  • 10School of Health, Medical and Applied Science, CQUniversity, Townsville, QLD, Australia
  • 11College of Medicine and Dentistry, James Cook University, Smithfied, QLD, Australia
  • 12Australian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia
  • 13Centre for Studies in Family Medicine, Department of Family Medicine and Schulich School of Medicine & Dentistry, Western Centre for Public Health and Family Medicine, Western University, London, ON, Canada

Introduction: In Australia, there have been improvements in Aboriginal and Torres Strait Islander maternal health, however inequities remain. There is increasing international evidence illustrating the effectiveness of Participatory Women's Groups (PWGs) in improving Maternal and Child Health (MCH) outcomes. Using a non-randomized, cluster stepped-wedge implementation of a complex intervention with mixed methods evaluation, this study aims to test the effectiveness of PWGs in improving MCH within Indigenous primary care settings in Australia and how they operate in various contexts.

Methods: This study takes place in ten primary health care services across Australia and involves the recruitment of existing PWGs or the setting up of new PWGs. Services are paired based on geography for practical reasons and two services commence the PWG intervention at three monthly intervals, with the initial four services being those with existing women's groups. Implementation of the PWGs as an intervention involves training local facilitators of PWG groups, supported engagement with local MCH data through workshops, PWGs identifying and prioritizing issues and strengths and co-implementing solutions with health services. Outcomes are measured with yearly MCH audits, a cost-effectiveness study, and process evaluation of community participation and empowerment.

Discussion: This study is the first to formally implement and quantitatively, yet with contextual awareness, measure the effect of applying a community participation intervention to improve the quality of Aboriginal and Torres Strait Islander MCH in Australia. Findings from this work, including detailed theory-producing qualitative analysis, will produce new knowledge of how to facilitate improved quality of MCH care in Indigenous PHC settings and how to best engage community in driving health care improvements.

Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12618000945224.

Web address:


The health, social and economic outcomes for Aboriginal and Torres Strait Islander Australians continue to be substantially worse than for other Australians (13). In Australia, improving the quality and consistency of PHC provided to Aboriginal peoples and Torres Strait Islanders is an essential part of the Australian Government's Close the Gap program (4). Maternal and child health (MCH) is consistently named a priority area by Aboriginal and Torres Strait Islander peoples, policy makers health service providers, and researchers (5, 6). Although Aboriginal and Torres Strait Islander infant mortality rates and the proportion of low birth weight babies born are falling, they remain almost double those of non-Indigenous infants (1).

Internationally, primary health care (PHC) is recognized as critical to addressing inequities in health status (2, 3). While Indigenous PHC services [both Aboriginal Community Controlled Health Services (ACCHS) and government services] provide PHC for Indigenous people, the quality of care and health outcomes can vary significantly between services (3, 7).

Continuous Quality Improvement (CQI) aims to facilitate ongoing improvement in the quality of PHC by using objective information to analyze and improve systems, processes and outcomes (8). A CQI strategy based on audit and feedback cycles of “plan, do, study, act” provides a theoretical, coherent and practical way for PHC services to identify, address and overcome barriers to quality care (9, 10). Modern CQI approaches incorporating service user participation, engagement, shared-decision making and tailoring to context address both scientific and humanistic values (10). Such approaches may also offer the potential to enhance MCH through the improvements in quality made in the PHC setting. International empirical evidence suggests that an integrated approach that includes community women as active participants (11) working alongside service providers can improve both the quality and outcomes of MCH care in a relatively short time period (1113). Furthermore, CQI fits with the principles and values of Aboriginal and Torres Strait Islander people (expressed in national statements on research and cultural respect) (14, 15). Despite the demonstrated benefits of community participation (16), very few quality improvement interventions in Aboriginal and Torres Strait Islander PHC have focused on factors beyond service provision as part of their implementation. None have explicitly tested community participation aimed at enhancing community decision-making and co-production in health care and health service design. Similarly, in evaluating quality improvement interventions, the cost effectiveness of community participation in light of MCH improvements in service provision and health outcomes has not been assessed. Hence, there is a need to add to the evidence in this area.

There is persuasive international research illustrating the effectiveness of participatory women's groups (PWGs) in improving MCH outcomes such as neonatal and maternal mortality rates via improved quality of care, women's empowerment, and new learning (11, 1618). There is considerable evidence internationally (19, 20) and in Australian Aboriginal and Torres Strait Islander settings (21) that empowerment of women is achieved through participation in such women's groups. Empowerment means healing from past wounds, developing strength and skills to live life in a positive way, to have good relationships with others and to work together to make communities a better place (22). A systematic review with meta-synthesis found that participatory interventions using women's groups are effective in improving neonatal and maternal survival (23). This led to the identification of PWGs, coupled with health systems strengthening and community action, as highly effective strategies for improving MCH that are low-cost, sustainable, and scalable.

Morrison et al. (20) have named four mechanisms to explain the positive impact of women's groups on health outcomes in a study of maternal and newborn health in Nepal. The groups: (a) learn about health; (b) develop confidence; (c) disseminate information in their communities; and (d) build community capacity for action (20). Based on this evidence, we hypothesize that improvements in MCH related to participation in PWGs may be mediated through measurable changes in empowerment.

The study discussed above took place in Nepal, with contextual factors including a weak health system funded through significant contributions from external development partners who are influential in decision-making. In addition, similar to most low-resource settings, the PHC system is dependent on extensive contributions from female community health volunteers (over 50,000 in Nepal). External agents call on these women volunteers to assist in conducting MCH interventions (24). By comparison, the Australian public health system is relatively strong and does not rely on volunteers to provide PHC services. Interventions are usually provided by health professionals, many of whom are unfamiliar with working collaboratively with women's groups. Yet, we know that working partnerships in Indigenous health are fundamental (25); PHC staff and managers need to be supported to understand the importance of community participation in co-producing responsive MCH services that aim to improve patient outcomes.

There are compelling examples of Aboriginal and Torres Strait Islander community responses to health and well-being needs that arise spontaneously within communities. The overarching example is the Aboriginal community controlled health movement as the expression of Indigenous cultural values within a predominantly western health sector (26). On a smaller scale, the Strong Women, Strong Babies, Strong Culture program in the Northern Territories employed older community women to work individually with pregnant women to improve health behavior and health care access. A small, but significant increase in birthweight over an 8 year period was demonstrated through this program (27). The Aboriginal-developed Family Wellbeing Program (FWB) is another empowerment-based participatory approach, designed to support the capacity for individuals, organizations and communities to gain control over their lives to improve wellbeing and quality of life (21, 2830). FWB has been successfully applied by our team to MCH care, organizational change and team strengthening (amongst others). Reported benefits of FWB include greater understanding and mutual respect between health staff, an enhanced capacity to work with others toward common goals, and improved access to health services and high quality service delivery (31, 32).

This study examines whether PWGs, as an intervention, improve the quality of Indigenous MCH care. More specifically, it will determine the effectiveness of PWGs in improving quality of care and intermediate health and well-being outcomes in MCH; the cost-effectiveness of PWGs for improving quality of MCH care; the degree to which the PWGs are associated with a change in empowerment measured using the global empowerment measure (GEM) scores for women involved (22); and the processes through which PWGs exert effects in various contexts.

Research Question and Objectives

Do participatory women's groups (PWGs), as an intervention, improve the quality of maternal and child health (MCH) care in Australian Indigenous primary health care (PHC) services?

The objectives are to determine:

1) The effectiveness of PWGs in improving quality of care and intermediate outcomes in MCH;

2) The cost-effectiveness of PWGs for improving quality of MCH care;

3) The degree to which the PWGs are associated with a change in global empowerment measure (GEM) scores for participating women; and

4) How and why PWGs exert their effects in various contexts.

Methods and Analysis


A stepped wedge cluster implementation (non-randomized) of a complex intervention was chosen for ethical and logistical reasons. It allows all participating PHC services to receive the PWG intervention in sequential order, where evidence of effectiveness can be assessed with pre- and post-intervention observations from each service (33). This design has an advantage in improving power with smaller numbers of services where intra-cluster correlation is high (optimizing feasibility). By allowing services to act as their own historical controls it also accounts for underlying differences between clusters that may confound results in the more traditional parallel cluster designs. Through the collection of routinely recorded MCH audit data, the study assesses the effectiveness of a complex intervention involving PWGs addressing issues in MCH care to improve outcomes amongst Indigenous mothers and babies. To complement the design, qualitative research with PHC services and PWGs will explore contextual barriers and enablers to successful implementation of the PWG in various settings throughout Australia.

Recognizing that patients, clinicians and policy makers need real world evidence to make informed decisions about their healthcare, the study represents a range of typical Indigenous PHC settings, using realistically attainable intervention approaches under real-world conditions, and reporting relevant outcomes to all stakeholders (34).

To test the effectiveness of the PWG intervention, this design is blended with our commitment to a participatory approach informed by Indigenous ways of being, knowing and doing and an all-teach and all-learn philosophy. This is done in part through optimizing the flexibility to respond to the rich and varying needs and contexts of individual health services and communities, whilst maintaining the integrity and consistency of the intervention. One example of this is that initial meetings with participating services determined that there are two groups of services, four services with existing functional women's groups and active auditing (early services) and six services who do not yet have a functional women's group and/or have auditing delays (later services). Recognition of these differences, and a rejection of the concept of randomization as disempowering by participating services and partners has led to a revision of the design in terms of randomization of the order of intervention, as described below. Furthermore, service representatives and PWG facilitators are all involved in collaborative planning and training meetings, steering group meetings, and team communication strategies throughout the life of the study. This study protocol was developed as required by the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) (Supplementary Material 1).

Study Setting

This study is conducted in partnership with ten primarily Indigenous PHC services in Queensland, New South Wales, Northern Territory and Western Australia. Primarily Indigenous refers to services that are an Aboriginal Community Controlled Health Service or government service funded primarily to service Aboriginal or Torres Strait Islander people. Participating services represent a range of jurisdictions, service size, remoteness, governance models and CQI tools.

Study Participants

The target population to whom our findings apply is primarily Indigenous PHC services and women and children who access Indigenous PHC services. Thus, PHC services are eligible to participate if they fulfil the following inclusion criteria: (a) are a primarily Indigenous PHC service (b) are engaged in some auditing of MCH service provision using a recognized and evidence-based audit tool (35, 36); (c) have a formal or informal community women's group associated with the service or a desire to establish one; (d) are willing to support at least one staff member to attend facilitator training; and (e) have agreement from CEO, Chair and key clinical staff to participate and share aggregated service level data during the study.

The PWG Complex Intervention

PWG facilitators are recruited via the PHC service. The PHC services nominate two women leaders, ideally Aboriginal or Torres Strait Islander, to work as PWG facilitators. It is important to have at least two PWG facilitators trained in order to provide support and improve sustainability of the local PWG (for example, should one facilitator resign their position, or leave the area).

PWG membership eligibility extends to all female community members who have an interest in MCH and may include but is not limited to the following:

• Pregnant women

• Mothers

• Women who may be pregnant but not yet aware

• Elders who are not health professionals.

An existing or new community women's health and wellbeing group forms the foundation of the complex intervention. Establishment of a new PWG or refreshing the membership of an existing group (if needed) will be led by the PHC service and may involve community consultation, engaging with existing community groups and other community organizations. PWG facilitators attend a training program during the set-up phase of the study. The purpose of this training is to build relationships and communication strategies between PWG facilitators and investigators; to share learning about facilitating the PWG; to become familiar with MCH audit data; and engage in a cyclical process of planning and implementation of changes to improve MCH called the Remote Service Futures (RSF) framework.

The RSF framework guides the PWG intervention planning and implementation process (37). The RSF uses a semi-structured approach to identifying needs, planning interventions, and implementation by community people in partnership with health professionals with monitoring via a series of workshops (38). This approach has recently been tested in Australian rural communities in improving oral health care, and found to be feasible when used with skilled facilitation (3840). Table 1 outlines the RSF framework activities important in the PWG intervention.


Table 1. RSF framework activities important in PWG intervention.

Following training, the facilitators return to their communities and consolidate or establish their PWG. The facilitators work collaboratively with PWG members on MCH improvements using the RSF framework. It is important for PWGs to link with existing community initiatives (for example, Health Action Teams, Domestic Violence support groups, breastfeeding peer-counselors). The role of women in these groups is to: share local knowledge and community perspectives, focus on building community expectations, encourage community ownership of services, engage in activism for high quality care, and plan and develop initiatives to improve MCH. MCH nursing and/or medical staff may also be included to build their own capacity to respond to community perspectives.

During the intervention, each PWG decides the exact timing and interval of the four planning workshops. These may be at approximately monthly intervals (completed in the first six months of the intervention, with the flexibility to accommodate significant community events). There is an ongoing relationship between the investigators and the PWGs so that technical support, for example, extra data, assistance in using audit data, or information about implementation of changes, can be provided if necessary. The type or frequency of technical support is recorded for each PWG and form part of the process evaluation of the PWG. PWG facilitators and members are informed that the MCH improvement plan needs to be cost neutral and within the remit of the health service and PWG/community to implement within a 12-month period. Three initiatives from the community MCH quality improvement plan will be prioritized for implementation, and these will be implemented and monitored through a series of four workshops over 8 months at intervals to suit the services (at approximately bimonthly intervals). Annual meetings will bring facilitators together to disseminate their experiences, share learning and enhance the knowledge base for groups to respond to local needs, issues and priorities. Strategies considered and implemented by groups will differ according to prioritized goals and what is contextually appropriate and might involve health service or community level initiatives. Examples from previous PWG interventions include patient-held records, service report cards, breastfeeding support groups and community education programs.

As part of the intervention, services are provided with AU$5,000 per year to support the study at their facility as they wish (for example, part compensation for staff time, producing health promotion resources in response to PWG group input). In addition, PWG facilitators receive a small amount of reimbursement (0.1Full Time Equivalent) during the intervention period to directly off-set time and contributions to the facilitation of the PWGs. Both of these are factored into the cost effectiveness analysis.


The primary outcome measure is a change in the MCH Quality of Care Index (QCI) from aggregated de-identified health service audit data. The MCH QCI provides an indicator for overall adherence to delivering recommended services based on evidence based clinical best practice guidelines in the delivery of care. The MCH-QCI (%) is calculated from audit data as (total number of services provided)/(total number of recommended services) *100 (Table 2) (41). Baseline audit data is collected from services at yearly intervals (over ~1 week at the end of each year) for the 5-year duration of the study. Given the stepped wedge start-time of the intervention, each service will have at least one set of pre-intervention audit data (some up to three) and at least two sets of post-intervention audit data (some up to four; Figure 1). Patients attending the services whose charts may be audited are women with an infant aged between 2 and 14 months at the time of audit, resident in the community for at least 6 months of the pregnancy and using the PHC service as her usual source of care.


Table 2. Indicators included in MCH quality of care index.


Figure 1. Stepped wedge design and participant timeline.

Secondary outcomes: Secondary outcomes will include: (i) percentage of pregnant women having their first antenatal visit before 13 weeks gestation; and (ii) mean birthweight.

Process measures include changes in empowerment for PWG members [measured using the validated Growth and Empowerment Measure (GEM)] (22), alongside a theory-generating process evaluation using qualitative methodology informed by Indigenist and critical theory of the implementation and experience of the intervention (42, 43).

A cost-consequence analysis (CCA) and cost-effectiveness analysis (CEA) will be undertaken from the health system perspective. The outcomes for the CCA will be all primary and secondary outcomes for the study. The outcome for the CEA will be a 100 g increase in mean birthweight (as the main direct health outcome measure).

Participant Timeline

The non-randomized cluster stepped-wedge design involves staged implementation of the intervention with two services commencing the intervention planning period at three monthly intervals (Figure 1). Initially, the study was planned to be randomized in terms of the timing of commencement of the intervention, but it became apparent that some of the services were ready much earlier than their allotted start date, based on the pre-existence of a functional women's group. We considered stratified randomization, but ultimately came to the conclusion (with our service partners) that imposing a randomized order on a complex intervention with a presumed theoretical basis of empowerment was likely to be counterproductive in terms of relationship building/engagement with community members and was unpopular with staff at participating services. Thus, randomization of start order was abandoned, and time of commencement will be adjusted for statistically as part of the analysis.

The first phase of the study is the start-up phase and involves study set up, engagement of stakeholders, recruitment of services, recruitment of PWG facilitators, training and formation of PWGs. At the first service engagement meeting in late 2018, services were paired in terms of timing of the intervention for practical reasons based on geographic proximity, to improve feasibility of support (both from the project team and from facilitators at the partner site). The four “early ready” services will embark on the complex intervention first, at three month intervals. The remaining six services have agreed an order of implementation based on perceived readiness (Figure 1). On commencing the intervention, there is a 6-month intervention planning phase comprising the RSF Phase 1 planning workshops and between two and three years for the implementation of MCH improvement plans and monitoring implementation of planned changes (RSF Phase 2) depending on the time of entry.

Sample Size

The study is conducted with ten services that have self-nominated and been engaged with MCH audits. The number of maternal records examined in a service at a single audit cycle ranges from <5 to >100, but is usually ~20. Actual mean of the MCH-QCI from 43 services previously involved with One21seventy MCH audits is 65.97% with standard deviation (SD) of 13.58% and a change of 5% is likely to be clinically significant. A stepped-wedge design with five steps, ten clusters and intracluster co-efficient of 0.15 and an average cluster size of 20 has a design effect of 0.40 (with only two baseline and one subsequent audit) (44). Using our expected sample size of 200 audit records from 10 services and a design effect of 0.4 with alpha = 0.05, an SD of 13.58, 99% power is achieved for detecting a 5% change in our primary outcome. This is a conservative estimate. This sample size also gives a statistically significant result if mean birthweight is 100 g higher after the intervention than in the pre-intervention state (e.g., 3.3 kg v 3.2 kg). For the proportion of pregnant women with their first antenatal visit prior to 13 weeks gestation, this study will produce a statistically significant result if the odds of a pregnant woman attending in the first trimester are 1.5 times higher in the PWG group than in the pre-intervention group.


Recruitment to this study is at three levels: PHC service recruitment, PWG facilitators and recruitment of individuals into the PWG.

PHC Services

An information sheet about the study and an invitation for services to self-nominate has been circulated through peak bodies, state health partners, investigators' networks. Follow up by meetings to provide further information and check eligibility has occurred with interested services. Attention has been paid to maximize variability amongst services as well as enabling services to make an informed choice about participation, considering all factors. Maximizing variability assists in determining how the intervention might be transferable to different settings. Service consent to participate involves meetings with the PHC service staff to discuss the study and written consent from an Aboriginal Community Controlled Health service Board or CEO to participate.

PWG Facilitators

Individuals are invited to participate as PWG Facilitators via the PHC health service. Members of the investigation team discuss the study with nominated PWG facilitators and seek written consent.

PWG Members

Individuals are invited to participate in the study via the PHC service and PWG facilitators. The PHC service determines the appropriate approach to recruitment depending on the context but includes activities: local advertisement, community meetings, via other local community groups and stakeholders. Interested individuals are provided information about the study and assessed for eligibility. Verbal and written consent to participate is obtained by the PWG facilitators. Within existing PWG groups, individuals who choose not to be part of the study will continue to participate in group activities outside of the MCH planning and implementation process.

PHC service and PWG retention are promoted by inviting PHC representatives and PWG facilitators to be members of the project steering committee. Regular email updates and newsletters are available to PHC service staff and PWG facilitators. In addition, a closed facebook group will be established so that they can share information and progress with each other. PWG participant retention is promoted by flexibility to the needs of the group when organizing planning and evaluation meetings; sharing newsletters and other study communications where appropriate; providing reminders of upcoming meetings and regular feedback on topics discussed.

Given the thorough processes that the services and investigator team undergo once services are involved it is unlikely that a service would withdraw. However, there is a plan in place if a service can no longer participate involving maximizing possible data collection for that service and adjusting the analysis accordingly. There may be changes in personnel at the PHC service and amongst the PWG facilitators. Comprehensive refresher training is available in any aspect of the study should PHC staff or PWG facilitators require this, managed within the pragmatic nature of the trial. Participants in the PWG may withdraw from the study for any reason at any time. If they choose to withdraw this will not affect their relationship with the PHC service or the investigator team. If they withdraw from the study they can request that data is returned or destroyed.


Two health services each commence the intervention at 3-monthly steps, and as discussed above, randomizing the order of intervention implementation was abandoned for ethical and theoretical reasons. This is now a non-randomized trial, still with a stepped wedge design and cluster intervention. Although not universally accepted, there are precedents for this design in the literature (45) including suggestions for analysis to compensate for the lack of randomization (46). The team's belief is that in a design with three month steps, and an expected time frame of 12 months for maximal effect the detrimental effects of this in terms of potential allocation bias are likely to be outweighed by relational benefits in terms of control and implementation. Services act as their own controls, thus no blinding at service level is either feasible or necessary. Analysis adjusts for the time of commencement of the intervention.

Data Collection, Management and Analysis

Primary and Secondary Outcomes

Cross-sectional data for the primary and secondary outcome measures are collected from services by service staff using the One21Seventy MCH audit tool (35) (from which the MCH-QCI can be obtained) based on evidence-based best practice guidelines about quality MCH care. Processes for conducting these audits and ensuring data quality are well described (3, 7, 41, 47). The MCH-QCI is calculated at the beginning of the study and on an annual basis using existing mechanisms and supports that are part of the inclusion criteria. At least five sets of audit data will be available for each service. This is adequate time to demonstrate significant impacts on quality of care and possibly some health outcomes such as birthweight. Patients attending the services whose charts may be audited are women with an infant aged between 2 and 14 months, resident in the community for at least 6 months of the pregnancy and using the PHC service as her usual source of care.

Data, from which the primary and secondary outcome measures (MCH-QCI) will be drawn, is the property of the PHC service and the service forwards de-identified data to the research team for analysis. This data is in electronic form using a template designed by the research team. This template includes the name and a full description of the variable. Members of the investigator team including the statistician are responsible for checking the templates sent by PHC services and responding to any data queries.

The unit of analysis for the primary outcome is the health service. For the primary analyses (for both primary and secondary outcomes), it is likely that the PWG will have an effect on outcomes after 12 months from the start of the intervention at each step. The outcomes will be analyzed using linear mixed effects models. The models will have a random effect for community, and fixed effects for the effects of time. Estimates of the effect of PWGs will be reported along with 95% confidence intervals. Secondary analyses may adjust for rurality, service size, number of audit cycles and governance structure (ACCHS or government service), and various sensitivity analyses may be undertaken. Statistical significance is set at p < 0.05 level to test the hypothesis that there was a significant change in each of the outcome measures from baseline score. Imputation analysis is used to account for the effect of missing data.

Process Measures Evaluation

PWG facilitators keep a journal to capture evidence about the process of implementation, such as the number of women attending the meeting and their timing, areas of discussion, key learnings, other community members and organizations involved. In addition, regular communication with project managers and through the closed facebook group will allow the facilitators to discuss any issues and gain support from others.

Empowerment of women who are members and facilitators of the PWGs in each community is measured at the onset of the process (at the start of the intervention planning phase in each service), and at the end of the intervention period. This is done through the administration of the GEM, both the Emotional Empowerment Scale (EES) and the 12 Scenarios to measure the empowerment process (22). In addition, satisfaction with the PWG process, implementation and experience of the intervention and outcomes are evaluated using semi-structured interviews at the completion of the study. Participants include PWG participants and facilitators, along with some health care providers and community women who have not been involved in the women's groups. Around 10 interviews will be performed for each participating community.

GEM tool data is collected in hard copy, entered electronically by a member of the investigator team and original data kept in a locked cabinet at the sponsor organization. Data entered is cross checked by another investigator to increase the accuracy of data entry and coding. Digitally recorded qualitative interview data is transcribed as word documents. The team has developed a protocol to manage the de-identification and cross checking of qualitative data with respondents. This includes the creation of a flow chart for qualitative data management, standardization of file naming conventions, agreed de-identification processes and cross checking with other members of the investigator team.

The process evaluation strategy is based on robust strategies for evaluating complex interventions, aiming to develop a programme theory for the intervention (48). For process evaluation measurement using the GEM tool, pre and post GEM scores are analyzed using bivariate descriptive statistics. Qualitative evaluation of the process and outcomes using detailed interviews and observation via facilitator journals will uncover how participatory groups and individuals are able to produce and sustain change in MCH care, neglected in previous studies of women's group interventions. Qualitative data (journals and interviews) are transcribed in full. Transcripts are entered into NVivo and abductive coding (49) will first group the findings and do a line by line coding under each question and then inductively identify themes from the data using constant comparison. Analysis of the qualitative data is led by Aboriginal and Torres Strait Islander investigators. The combined findings will be used to generate an explanatory theory about how and why the intervention works (or otherwise) in a variety of contexts. In doing this we will integrate qualitative themes derived from trial data with Aboriginal and Torres Strait Islander knowledge frameworks and concepts (50).

Economic Evaluation

A cost-consequence analysis (CCA) and cost-effectiveness analysis (CEA) will be undertaken from the health funders perspective. Costs for the CCA and the CEA will be obtained from the trial data, and include all training (including annual meetings), staff time and resource use costs to the health system for a hypothetical nation-wide roll-out of the program. The outcomes for the CCA will be all primary and secondary outcomes for the study. The outcome for the CEA will be change in mean birthweight (as the main direct health outcome measure). The analysis will identify the incremental cost-effectiveness ratio (ICER) of a nationwide roll-out of the WOMB intervention compared to standard care. A budget impact analysis, that captures the impacts of the intervention on expenditure of the Federal and state governments, and individuals over a 5 year time frame, will also be undertaken.

Data management procedures for the economic analysis will follow the same process as primary and secondary outcome data and will be cross checked in consultation with health economists on the investigator team.

Implications and Significance

Despite growing international evidence, this study is the first to formally implement and assess in a cluster stepped-wedge design using quantitative outcome measures related to health care delivery, empowerment and health outcomes, the effect of applying a community participation intervention (PWG) to improve the quality of Indigenous MCH care in Australia. It brings together best practice in participatory approaches to strengthening health care with the expertise and reach of an experienced research collaboration to allow community members and health care providers to engage with MCH data from their community and implement changes to improve quality of care. Importantly (and often missing from previous research), the evaluation involves a cost-effectiveness analysis and a strong qualitative evaluation to learn how and why various components of the intervention exert any effects in various contexts. The economic evaluation also provides decision makers with evidence regarding the likely costs or cost-savings associated with wider roll-out of the intervention being tested.

Study outcomes will include: (i) refinement of a novel and scalable methodology with significant potential to engage community members and health care providers in MCH service improvement; (ii) development of a programme theory about mechanisms whereby PWGs exert their outcomes; (iii) direct transfer of findings to other Indigenous PHC services and to state and federal policy makers through well-established networks of knowledge exchange and partnership. Through this work the authors anticipate new knowledge of how best to facilitate improved quality of MCH care in Indigenous PHC settings and how to engage community members in driving health care improvements– this, in turn, will contribute to better intermediate health outcomes for women and babies and thus health outcomes for Indigenous Australians.

Ethics and Dissemination

Ethical Approval

Ethical approval has been obtained through the Human Research Committee of the Northern Territory Department of Health and Menzies School of Health Research (ethics approval number is HREC 2018-3076); and James Cook University Human Research Ethics Committee (H7441). Additional ethical approval was obtained from the Western Australian Aboriginal Health Ethics Council (890) and the Aboriginal Health and Medical Research Centre Ethics Committee (1439/18). All eligible participants are required to provide signed informed consent before taking part in the study.

Data Management

All study related information is stored securely at the sponsor organization. All participant information is stored in a locked cabinet at the sponsor organization. All data sets are allocated an identification number to maintain participant confidentiality. Only study team members who are involved in data analysis have access to data.

Raw data are kept in a locked cupboard in the Principal Investigator's Office, and electronic data are stored on a password-protected computer. After the study finishes, electronic data will be transferred to a CD-ROM and also stored in a secure database repository and password protected. Electronic data on any other computers will be deleted. Raw data will be retained for at least 5 and 15 years respectively in accordance with NHMRC and the Australian Code for the Responsible Conduct of Research guidelines (51).

Participating services are involved in all decisions about data usage. No reference will be made in oral or written reports which could identify participants or the services without their written consent. None of these data, collected as part of this research, will be re-used without explicit permission. Raw data will be transferred to investigators involved in data analysis in other universities in accordance with protocols to safeguard data integrity.


The Steering Committee of the Centre for Research Excellence in Integrated Quality Improvement (CRE-IQI) is the overarching collaborative structure within which WOMB sits and consists of a broader network of Indigenous primary health care stakeholders. The CRE-IQI Steering Committee provides advice where required on the implementation of the actions devised by the PWGs, including the measurement of intermediate health outcomes and identify opportunities for broader roll-out and scale-up of study learnings.

The WOMB Steering Committee is responsible for monitoring conduct of the implementation, data collection and reporting. Committee membership comprises investigators, participant PHC services, facilitators of the PWGs and other members to be determined by the group. This group comprises members from the sponsoring organization and has no competing interests. It also assists in facilitation between the PWGs and their respective PHCs to implement action for mums and bubs; review and endorse interim reports; devise a knowledge transfer plan in phase 1 of the study; and assists with knowledge transfer activities throughout the life of the study.

Any protocol modification will be documented with appropriate justification and approved by the investigator team and steering committee. The final version will be presented to the relevant Ethics Committees, if required.

As the potential for harm based on this trial of women's group activity is extremely low, no formal stopping guidelines have been proposed. Ongoing process evaluation will ensure that any unanticipated unhelpful outcomes are identified and can be addressed.

Dissemination and Data Sharing

This study will be conducted in partnership with the PWG in each community, thus, overall results will be available for the PWG through existing auditing systems in the PHC services and a face-to-face visit to each service to present and discuss their own results overall. Interim progress reports will be made available to the steering committee of the CRE-IQI and study steering committee. The de-identified results of the research overall, across the ten services, will be made available to participating services through webinars, videos, and a face-to-face meeting.

This study will generate evidence about the effectiveness and cost effectiveness of community participation that is translatable to PHC settings in other Indigenous communities. Dissemination of findings to other Indigenous PHC services and to state and federal policy makers will occur through well-established networks of knowledge exchange and partnership; particularly through the networks of the CRE-IQI and through policy briefs and academic publication.

Trial Status and Protocol Version

Recruitment underway: Began April 2018 (services) and October 2018 (facilitators) and expect completion of recruitment approximately March 2020.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

Author Contributions

SL, CF-B, JT, YC-J, RB, JF, MP, VM, EC, RE, AE, MZ, KC, RP, MR-M, and JK initiated the study design, contributed to the development of the study, and application for funding. EC, HF, MZ, and AE provided expertise in trial design and biostatistics. AE is conducting the primary statistical analysis. EC and HF are conducting the economic analysis. KC led the development of the protocol. All authors contributed to refinement of the study protocol and approved the final manuscript.


Funded by the National Health and Medical Research Council (Australia): GNT1146013. This study is also part of the NHMRC funded CRE-Integrated Quality Improvement GNT1078927 (2015-2019), CRESTRIDE NHMRC GNT1170882 (2020-2025). The funding source had no role in the design of this study and will not have any role during its execution, analyses, interpretation of the data, or decision to submit results.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The authors acknowledge all PHC services, PHC staff and participants in the study, as well as broader members of the CRE-IQI involved in discussions that strengthened the project.

Supplementary Material

The Supplementary Material for this article can be found online at:


ACCHS, Aboriginal Community Controlled Health Services; CCA, Cost-Consequence Analysis; CEA, Cost-Effectiveness Analysis; CQI, Continuous Quality Improvement; CRE-IQI, Centre for Research Excellence in Integrated Quality Improvement; EES, Emotional Empowerment Scale; FWB, Family Wellbeing Program; GEM, Global Empowerment Measure; ICER, Incremental Cost-Effectiveness Ratio; MCH, Maternal and Child Health; MCH QCI, Maternal and Child Health Quality of Care Index; PWG, Participatory Women's Groups; RSF, Remote Service Futures.


1. Australian Institute of Health and Welfare. The Health and Welfare of Australia's Aboriginal and Torres Strait Islander people, an Overview. Cat. no. IHW 42. Canberra: AIHW (2011).

Google Scholar

2. Si D, Bailie R, Dowden M, Kennedy C, Cox R, O'Donoghue L, et al. Assessing quality of diabetes care and its variation in aboriginal community health centres in Australia. Diabetes/Metab Res Rev. (2010) 26:464–73. doi: 10.1002/dmrr.1062

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bailie R, Si D, Shannon C, Semmens J, Rowley K, Scrimgeour D, et al. Study protocol: national research partnership to improve primary health care performance and outcomes for indigenous peoples. BMC Health Serv Res. (2010) 10:129. doi: 10.1186/1472-6963-10-129

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Council of Australian Governments. National Indigenous Reform Agreement. Canberra (2012).

Google Scholar

5. Gibson-Helm ME, Teede HJ, Rumbold AR, Ranasinha S, Bailie RS, Boyle JA. Continuous quality improvement and metabolic screening during pregnancy at primary health centres attended by aboriginal and Torres Strait Islander women. Med J Aust. (2015) 203:369–70. doi: 10.5694/mja14.01660

PubMed Abstract | CrossRef Full Text | Google Scholar

6. The Lowitja Institute. National Roundtable on Aboriginal and Torres Strait Islander Child and Maternal Health Research: Priorities for Interventions. Lowitja Institute (2012). Available online at: (accessed September 25, 2019).

Google Scholar

7. Bailie R, Si D, Connors C, Kwedza R, O'Donoghue L, Kennedy C, et al. Variation in quality of preventive care for well adults in indigenous community health centres in Australia. BMC Health Services Res. (2011) 11:139. doi: 10.1186/1472-6963-11-139

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sollecito WAJ, Julie K. McLaughlin and Kaluzny's Continuous Quality Improvement in Health Care. 4th ed. Burlington, MA: Jones & Barlett Learning (2013).

Google Scholar

9. Graham N. Quality in Health Care: Theory, Application and Evolution. Gaithersburg: Aspen Publishers (1995).

Google Scholar

10. Gardner K, Bailie R, Si D, O'Donoghue L, Kennedy C, Liddle H, et al. Reorienting primary health care for addressing chronic conditions in remote Australia and the South Pacific: review of evidence and lessons from an innovative quality improvement process. Aust J Rural Health. (2011) 19:111–7. doi: 10.1111/j.1440-1584.2010.01181.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Farnsworth SK, Bose K, Fajobi O, Souza PP, Peniston A, Davidson LL, et al. Community engagement to enhance child survival and early development in low- and middle-income countries: an evidence review. J Health Commun. (2014) 19(Suppl. 1):67–88. doi: 10.1080/10810730.2014.941519

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Larkins SL, Page RP, Panaretto KS, Mitchell M, Alberts V, McGinty S, et al. The transformative potential of young motherhood for disadvantaged Aboriginal and Torres Strait Islander women in Townsville, Australia. Med J Aust. (2011) 194:551–5. doi: 10.5694/j.1326-5377.2011.tb03100.x

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Agnew A, Sen Gupta T, Quirk F, Evans R, Larkins S. The master's apprentice: how do Australian medical interns learn? Focus Health Pro Educ A Multidiscip J. (2017) 18:56–66. doi: 10.11157/fohpe.v18i1.207

CrossRef Full Text | Google Scholar

14. National Health and Medical Research Council (NHMRC). Ethical Conduct in Research With Aboriginal and Torres Strait Islander Peoples and communities: Guidelines for Researchers and Stakeholders. Canberra: NHMRC (2018).

Google Scholar

15. National Health and Medical Research Council (NHMRC). National Statement on Ethical Conduct in Human Research (2007). (Updated 2018). Canberra: NHMRC (2018).

Google Scholar

16. Marston C, Hinton R, Kean S, Baral S, Ahuja A, Costello A, et al. Community participation for transformative action on women's, children's and adolescents' health. Bull World Health Org. (2016) 94:376–82. doi: 10.2471/BLT.15.168492

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Manandhar DS, Osrin D, Shrestha B, Mesko N, Morrison J, Tumbahangphe KM, et al. Effect of a participatory intervention with women's groups on birth outcomes in Nepal: cluster-randomised controlled trial. Lancet. (2004) 364:970–79. doi: 10.1016/S0140-6736(04)17021-9

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Morrison J, Tamang S, Mesko N, Osrin D, Shrestha B, Manandhar M, et al. Women's health groups to improve perinatal care in rural Nepal. BMC Preg Childbirth. (2005) 5:6. doi: 10.1186/1471-2393-5-6

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Munoz SA. Co-producing care services in rural areas. J Integr Care. (2013) 21:276–87. doi: 10.1108/JICA-05-2013-0014

CrossRef Full Text | Google Scholar

20. Morrison J, Thapa R, Hartley S, Osrin D, Manandhar M, Tumbahangphe K, et al. Understanding how women's groups improve maternal and newborn health in Makwanpur, Nepal: a qualitative study. Int Health. (2010) 2:25–35. doi: 10.1016/j.inhe.2009.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Tsey K, Whiteside M, Haswell-Elkins M, Bainbridge R, Cadet-James Y, Wilson A. Empowerment and Indigenous Australian health: a synthesis of findings from family wellbeing formative research. Health Soc Care Commun. (2010) 18:169–79. doi: 10.1111/j.1365-2524.2009.00885.x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Haswell MR, Kavanagh D, Tsey K, Reilly L, Cadet-James Y, Laliberte A, et al. Psychometric validation of the growth and empowerment measure (GEM) applied with Indigenous Australians. Aust New Zealand J Psychiatr. (2010) 44:791–9. doi: 10.3109/00048674.2010.482919

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Marston C, Renedo A, McGowan CR, Portela A. Effects of community participation on improving uptake of skilled care for maternal and newborn health: a systematic review. PLOS ONE. (2013) 8:e55012. doi: 10.1371/journal.pone.0055012

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Marasini B, Chaulagai (Oli) C, Taylor J. Strengthening state/non-state service delivery partnerships in the health sector in Nepal. Int Health. (2015) 7:228–38. doi: 10.1093/inthealth/ihv020

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Middleton P, Bubner T, Glover K, Rumbold A, Weetra D, Scheil W, et al. 'Partnerships are crucial': an evaluation of the Aboriginal Family Birthing Program in South Australia. Aust New Zealand J Public Health. (2017). 41:21–6. doi: 10.1111/1753-6405.12599

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Mazel O. Self-determination and the right to health: Australian aboriginal community controlled health services. Human Rights Law Rev. (2016) 16:323–55. doi: 10.1093/hrlr/ngw010

CrossRef Full Text | Google Scholar

27. Mackerras D. Birthweight changes in the pilot phase of the strong women strong babies strong culture program in the Northern Territory. Aust New Zealand J Public Health. (2001) 25:34–40. doi: 10.1111/j.1467-842X.2001.tb00547.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Tsey K, Whiteside M, Daly S, Deemal A, Gibson T, Cadet-James Y, et al. Adapting the 'Family Wellbeing' empowerment program to the needs of remote Indigenous school children. Aust New Zealand J Public Health. (2005) 29:112–6. doi: 10.1111/j.1467-842X.2005.tb00059.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. McCalman J, Tsey K, Clifford A, Earles W, Shakeshaft A, Bainbridge R. Applying what works: systematic search of the transfer and implementation of promising indigenous Australian health services and programs. BMC Public Health. (2012) 12:600. doi: 10.1186/1471-2458-12-600

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Tsey K, Wilson A, Haswell-Elkins M, Whiteside M, McCalman J, Cadet-James Y, et al. Empowerment-based research methods: a 10-year approach to enhancing indigenous social and emotional wellbeing. Aust Psychiatr. (2007) 15(Suppl. 1):S34–8. doi: 10.1080/10398560701701163

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Whiteside M, Tsey K, Cadet-James Y. A theoretical empowerment framework for transdisciplinary team building. Aust J Soc Work. (2011) 64:228–32. doi: 10.1080/0312407X.2010.537351

CrossRef Full Text | Google Scholar

32. McEwan A, Tsey K, McCalman J, Travers H. Empowerment and change management in aboriginal organisations: a case study. Aust Health Rev. (2010) 34:360–7. doi: 10.1071/AH08696

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hemming K, Haines TP, Chilton PJ, Girling AJ, Lilford RJ. The stepped wedge cluster randomised trial: rationale, design, analysis and reporting. Br Med J. (2015) 351:h391. doi: 10.1136/bmj.h391

CrossRef Full Text | Google Scholar

34. Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. Br Med J. (2015) 350:h2147. doi: 10.1136/bmj.h2147

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Bailie R, Si D, Dowden M, Lonergan K. Audit and Best Practice for Chronic Disease: Project Final Report Menzies School of Health Research & Cooperative Research Centre for Aboriginal Health. Darwin, NT (2007).

Google Scholar

36. Schierhout G, Brands J, Bailie R. Audit and Best Practice for Chronic Disease Extension Project, 2005-2009. Final Report. Melbourne, VIC: The Lowitja Institute (2010).

Google Scholar

37. Farmer J, Nimegeer A. Community participation to design rural primary healthcare services. BMC Health Services Res. (2014) 14:130. doi: 10.1186/1472-6963-14-130

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Carlisle K, Farmer J, Taylor J, Larkins S, Evans R. Evaluating community participation: a comparison of participatory approaches in the planning and implementation of new primary health-care services in northern Australia. Int J Health Plann Manage. (2018) 33:704–22. doi: 10.1002/hpm.2523

CrossRef Full Text | Google Scholar

39. Farmer J, Carlisle K, Dickson-Swift V, Teasdale S, Kenny A, Taylor J, et al. Applying social innovation theory to examine how community co-designed health services develop: using a case study approach and mixed methods. BMC Health Serv Res. (2018) 18:68. doi: 10.1186/s12913-018-2852-0

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Taylor J, Carlisle K, Farmer J, Larkins S, Dickson-Swift V, Kenny A. Implementation of oral health initiatives by Australian rural communities: factors for success. Health Soc Care Commun. (2018) 26:E102–10. doi: 10.1111/hsc.12483

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Larkins S, Woods CE, Matthews V, Thompson SC, Schierhout G, Mitropoulos M, et al. Responses of aboriginal and Torres Strait Islander Primary Health-Care Services to continuous quality improvement initiatives. Front Public Health. (2016) 3:288. doi: 10.3389/fpubh.2015.00288

PubMed Abstract | CrossRef Full Text | Google Scholar

42. West R, Stewart L, Foster K, Usher K. Through a critical lens: indigenist research and the Dadirri Method. Qual Health Res. (2012) 22:1582–90. doi: 10.1177/1049732312457596

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Bainbridge R, Tsey K, McCalman J, Kinchin I, Saunders V, Watkin Lui F, et al. No one's discussing the elephant in the room: contemplating questions of research impact and benefit in Aboriginal and Torres Strait Islander Australian health research. BMC Public Health. (2015) 15:696. doi: 10.1186/s12889-015-2052-3

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Woertman W, de Hoop E, Moerbeek M, Zuidema S, Gerritsen D, Teerenstra S. Stepped wedge designs could reduce the required sample size in cluster randomised trials. J Clin Epidemiol. (2013) 66:752–8. doi: 10.1016/j.jclinepi.2013.01.009

CrossRef Full Text | Google Scholar

45. Naidoo P, Dunbar R, Lombard C, du Toit E, Caldwell J, Detjen A, et al. Comparing tuberculosis diagnostic yield in smear/culture and Xpert(R) MTB/RIF-based algorithms using a non-randomised stepped-wedge design. PLoS ONE. (2016) 11:e0150487. doi: 10.1371/journal.pone.0150487

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Hu Y, Hoover DR. Non-randomized and randomized stepped-wedge designs using an orthogonalized least squares framework. Stat Methods Med Res. (2018) 27:1202–18. doi: 10.1177/0962280216657852

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Rumbold A, Bailie R, Si D, Dowden M, Kennedy C, Cox R, et al. Delivery of maternal health care in indigenous primary care servcies: baseline data for an ongoing quality improvement initiative. BMC Preg Childbirth. (2011) 11:16. doi: 10.1186/1471-2393-11-16

CrossRef Full Text | Google Scholar

48. Crawford Shearer N. Health empowerment theory as a guide for practice. GerNursing. (2009) 30:4–10. doi: 10.1016/j.gerinurse.2009.02.003

CrossRef Full Text | Google Scholar

49. Timmermans S, Tavory I. Theory construction in qualitative research: from grounded theory to abductive analysis. Soc Theory. (2012) 30:167–86. doi: 10.1177/0735275112457914

CrossRef Full Text | Google Scholar

50. Laycock A, Walker D, Harrison N, Brands J. Researching Indigenous Health: A Practical Guide for Researchers Melbourne. The Lowitja Institute (2011). Available online at: (accessed September 25, 2019).

Google Scholar

51. National Health and Medical Research Council (NHMRC) Australian Code for the Responsible Conduct of Research. Canberra, ACT: NHMRC (2007).

Google Scholar

Keywords: indigenous health, complex intervention, cluster stepped wedge, community participation, maternal and child health, empowerment

Citation: Carlisle K, Felton-Busch C, Cadet-James Y, Taylor J, Bailie R, Farmer J, Passey M, Matthews V, Callander E, Evans R, Kelly J, Preston R, Redman-MacLaren M, Fox H, Esterman A, Zwarenstein M and Larkins S (2020) WOmen's Action for Mums and Bubs (WOMB) Trial Protocol: A Non-randomized Stepped Wedge Implementation Trial of Participatory Women's Groups to Improve the Health of Aboriginal and Torres Strait Islander Mothers and Children in Australia. Front. Public Health 8:73. doi: 10.3389/fpubh.2020.00073

Received: 25 September 2019; Accepted: 25 February 2020;
Published: 18 March 2020.

Edited by:

Kerry-Ann F. O'Grady, Queensland University of Technology, Australia

Reviewed by:

Anthony Pascual Calibo, Department of Health, Philippines
Marisa Theresa Gilles, Western Australian Center for Rural Health (WACRH), Australia

Copyright © 2020 Carlisle, Felton-Busch, Cadet-James, Taylor, Bailie, Farmer, Passey, Matthews, Callander, Evans, Kelly, Preston, Redman-MacLaren, Fox, Esterman, Zwarenstein and Larkins. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Karen Carlisle,

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.