Sowing the seeds of transformative practice to actualize women’s rights to respectful maternity care: Reflections from Kenya using the consolidated framework for implementation research

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Study Justification:
– The study addresses the issue of poor provider attitudes and mistreatment of women during facility-based childbirth, which has been a growing concern.
– There are limited interventions that specifically focus on addressing these issues, highlighting the need for research in this area.
– The study aims to promote respectful maternity care and improve the quality of maternity care in Kenya.
Highlights:
– The Heshima project is an evidence-based participatory implementation research study conducted in 13 facilities in Kenya.
– The study engaged a range of community, facility, and policy stakeholders to address the causes of mistreatment during childbirth and promote respectful maternity care.
– The study used the consolidated framework for implementation research (CFIR) as an analytical lens to understand the complex interventions.
– Implementation success was influenced by readiness for change, constant communication between stakeholders, and perceived importance to communities.
– The implementation of the Respectful Maternity Care (RMC) resource package was meaningful within Kenyan politics and health policy.
Recommendations:
– Replication of the Heshima activities is needed globally to better understand if the implementation process can be successful in different countries and regions.
– Further research is needed to understand a range of interventions that can address issues of mistreatment in maternity care.
Key Role Players:
– The Heshima consortium, led by Population Council, an international research organization.
– FIDA, an organization advocating for women’s rights at local and national levels.
– The National Nurses Association of Kenya/Midwifery Chapter, empowering nurses and midwives to provide quality care.
– Representatives from the Ministry of Health, the Nursing Council of Kenya, and other stakeholders interested in improving maternal and newborn health care.
Cost Items:
– Budget items needed for planning the recommendations were not provided in the given information.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The abstract provides a clear description of the study’s background, methods, results, and conclusion. It also mentions the use of the consolidated framework for implementation research (CFIR) as an analytical lens. However, the abstract could be improved by providing more specific details about the interventions and their impact. Additionally, it would be helpful to include information about the sample size and demographics of the study participants. To improve the abstract, the authors could consider providing more specific information about the interventions, including the specific strategies used to address mistreatment during childbirth. They could also include more details about the successes and challenges faced during implementation. Finally, including information about the sample size and demographics would provide important context for the study’s findings.

Background: Despite years of growing concern about poor provider attitudes and women experiencing mistreatment during facility based childbirth, there are limited interventions that specifically focus on addressing these issues. The Heshima project is an evidence-based participatory implementation research study conducted in 13 facilities in Kenya. It engaged a range of community, facility, and policy stakeholders to address the causes of mistreatment during childbirth and promote respectful maternity care. Methods: We used the consolidated framework for implementation research (CFIR) as an analytical lens to describe a complex, multifaceted set of interventions through a reflexive and iterative process for triangulating qualitative data. Data from a broad range of project documents, reports, and interviews were collected at different time points during the implementation of Heshima. Assessment of in-depth interview data used NVivo (Version 10) and Atlas.ti software to inductively derive codes for themes at baseline, supplemental, and endline. Our purpose was to generate categories of themes for analysis found across the intervention design and implementation stages. Results: The implementation process, intervention characteristics, individual champions, and inner and outer settings influenced both Heshima’s successes and challenges at policy, facility, and community levels. Implementation success stemmed from readiness for change at multiple levels, constant communication between stakeholders, and perceived importance to communities. The relative advantage and adequacy of implementation of the Respectful Maternity Care (RMC) resource package was meaningful within Kenyan politics and health policy, given the timing and national promise to improve the quality of maternity care. Conclusion: We found the CFIR lens a promising and flexible one for understanding the complex interventions. Despite the relatively nascent stage of RMC implementation research, we feel this study is an important start to understanding a range of interventions that can begin to address issues of mistreatment in maternity care; replication of these activities is needed globally to better understand if the Heshima implementation process can be successful in different countries and regions.

Heshima is an evidence-based participatory implementation research study conducted in 13 facilities in five Central and Western Kenya counties that began in 2011. It engaged a range of community, facility, and policy stakeholders to address the causes of disrespect and abuse during childbirth and promote RMC [18]. The Heshima consortium was led by Population Council (hereafter known as The Council), an international research organization with an extended history (since 1960s) of operations research and support for policy and program development in Kenya with particular focus on quality of reproductive (and maternal) healthcare. The Council collaborated with FIDA, co-authors of Failure to Deliver 2007, which highlights issues of mistreatment, and advocates for women’s rights at local and national levels [7]. Heshima’s other key member was the National Nurses Association of Kenya/Midwifery Chapter (hereafter known as the Nurse/Midwife Association), a member of both the International Council of Nurses and International Confederation of Midwives, who empower their members (nurses and midwives) to provide quality care. The project steering committee included representatives of two departments within the Ministry of Health (MoH), the Division of Reproductive Health and the Department of Nursing; the Nursing Council of Kenya; and a core group of stakeholders interested in improving access to quality maternal and newborn health (MNH) care in a rights-based approach. Data from a broad range of project documents, reports, and interviews were collected at different time points during the implementation of Heshima. A timeline (Fig. ​(Fig.1)1) depicts key events over the project period which guided research for this paper. Heshima timeline of data collection and critical external factors Continuous process documentation facilitated the triangulation of qualitative findings from focus group discussions, in-depth interviews, and dialogues with participants and beneficiaries. A detailed description of the methodology used for baseline and outcome data collection, is described elsewhere [18, 19, 24]. In brief, we conducted a before-and-after study designed to measure the effect of a package of interventions to reduce the prevalence of disrespect and abuse experienced by women during labor and delivery in 13 Kenyan health facilities. A range of empirical study tools were used (observations of client-provider interactions, client exit interviews, provider interviews, facility inventories). Prevalence data were collected through an exit survey of 641 women discharged from postnatal wards at baseline [13, 14], and compared with 728 at endline to assess the impact of the interventions. We also describe changes in observed behaviour at endline [18] (See project objectives in Table ​Table11). Heshima project objectives Qualitative baseline and endline data were collected in September and October 2011 and January and February 2014, respectively, with a range of intervention participants. Supplementary data were retrieved from various sources such as summary reports, project reports and additional interviews. Summary reports were used from two critical meetings held in early 2012, a ‘community dialogue meeting’ and ‘stakeholder forum’, that disseminated baseline data to stakeholders and solicited recommendations for the development of a package of Heshima interventions. Information from these meetings was compiled and recorded in internal project reports. The complementary process documentation throughout the project period facilitated the translation of evidence into actions resulting in the consistent monitoring of intervention processes, notation of contextual effects, and afforded opportunities for addressing inherent challenges to implementation. Additional focus group discussions and in-depth interviews were obtained from a selected facility and its surrounding community between April and August, 2013 (Table ​(Table22). Data sources and study participants over the course of the intervention Informed consent was obtained from all adult study participants. There were no minors included in the study. The research protocol was approved by the Division of Reproductive Health, Ministry of Health, as well as the Kenya Medical Research Institute (KEMRI)‘s Ethical Review Board (SCC 288) and the Council’s Institutional Review Board (Protocol 517). This paper uses the CFIR as an analytical lens to describe a complex, multifaceted set of interventions through a reflexive and iterative process integral for triangulating qualitative data (23). CFIR is an amalgamation of several frameworks developed to evaluate complex intervention processes in the real world. It builds on theories of dissemination, innovation, organizational change, knowledge translation, implementation, and evidence-based interventions [23]. CFIR emphasizes stakeholder perceptions as central to the evaluation of an intervention from the design phase to intermediate and final outcomes by using five specific domains: intervention characteristics, inner setting, outer setting, characteristics of individuals involved, and process of implementation [23]. Currently, CFIR’s use has been limited to disease-specific or targeted behavior change interventions [25, 26]. We applied the analytic framework in an iterative process to describe the complexity of Heshima’s policy, facility, and community activities. The range of perceptions in Heshima’s qualitative evaluation, allowed us to deductively apply a modified version of CFIR (using a number of the constructs within the five domains) to gain an understanding of Heshima’s implementation process, strengths, and challenges. Thematic analysis by internal researchers (i.e. those directly involved in the implementation research) and external researchers (those with contextual knowledge) revealed gaps in addressing factors or drivers of disrespect and abuse at baseline (e. g. lack of awareness of rights for childbearing women, providers ‘carrying stress’), changes perceived by women delivering in study facilities, external influences experienced afterwards, and reflections about the process and outcomes of Heshima at endline (e.g. what worked well, or not, characteristics of individuals, influences on implementation). Assessment of in-depth interview data used NVivo (Version 10) and Atlas.ti software to inductively derive codes for themes at baseline, supplemental, and endline. We generated categories of themes/issues for analysis found across the intervention design and implementation stages. Salient information extracted from process documentation (e.g. dates, coverage of activities, tools, outputs and outcomes) contextualized the implementation at the various intervention levels. Reflexive discussions of the data and broad issues faced during the implementation process included both internal (i.e. those directly involved in implementation) and external perspectives. This discursive, team-based methodology using CFIR corroborated multiple data sources, along thematically organized lines that fashioned inferences about Heshima’s implementation.

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Based on the information provided, it is difficult to determine specific innovations or recommendations for improving access to maternal health. The text describes the Heshima project, which is an evidence-based participatory implementation research study conducted in Kenya to address mistreatment during childbirth and promote respectful maternity care. The study used the consolidated framework for implementation research (CFIR) to analyze the interventions and their impact.

To obtain specific innovations or recommendations, it would be necessary to review the findings and conclusions of the Heshima project study.
AI Innovations Description
The recommendation to improve access to maternal health is to implement a package of interventions that focus on addressing the causes of mistreatment during childbirth and promoting respectful maternity care (RMC). This recommendation is based on the findings of the Heshima project, an evidence-based participatory implementation research study conducted in 13 facilities in Kenya.

The Heshima project engaged a range of community, facility, and policy stakeholders to address the issue of mistreatment during childbirth. The interventions implemented in the project were designed to improve the quality of maternity care and ensure that women receive respectful and dignified care during childbirth.

The implementation of the interventions was influenced by various factors, including readiness for change at multiple levels, constant communication between stakeholders, and the perceived importance of the interventions to the communities. The relative advantage and adequacy of implementation of the RMC resource package were also important factors in the success of the interventions.

The Heshima project used the consolidated framework for implementation research (CFIR) as an analytical lens to understand the complex interventions. CFIR is a framework that evaluates complex intervention processes and emphasizes stakeholder perceptions as central to the evaluation. By using CFIR, the project was able to assess the intervention characteristics, inner and outer settings, characteristics of individuals involved, and the process of implementation.

Overall, the recommendation to implement a package of interventions to address mistreatment during childbirth and promote respectful maternity care is a promising approach to improving access to maternal health. Further research and replication of these interventions in different countries and regions are needed to better understand their effectiveness and impact.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening provider training: Implement comprehensive training programs for healthcare providers that focus on respectful maternity care, communication skills, and empathy towards pregnant women. This can help address the issue of mistreatment during childbirth.

2. Community engagement: Engage community members, including women and their families, in discussions and decision-making processes related to maternal health. This can help raise awareness, address cultural barriers, and ensure that maternal health services are accessible and acceptable to the community.

3. Improving infrastructure and resources: Invest in improving healthcare facilities, including maternity wards, equipment, and supplies. This can help ensure that women have access to quality maternal health services in a safe and comfortable environment.

4. Strengthening referral systems: Develop and strengthen referral systems between different levels of healthcare facilities to ensure that pregnant women can access appropriate care when needed. This can help reduce delays in receiving timely and appropriate maternal health services.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed using the following steps:

1. Define the indicators: Identify specific indicators that can measure the impact of the recommendations on improving access to maternal health. For example, indicators could include the percentage of women reporting respectful care during childbirth, the percentage of women receiving antenatal care, or the percentage of women delivering in healthcare facilities.

2. Collect baseline data: Collect baseline data on the selected indicators before implementing the recommendations. This can provide a starting point for comparison and help assess the initial situation.

3. Implement the recommendations: Implement the recommended interventions, such as provider training, community engagement activities, infrastructure improvements, and strengthening referral systems.

4. Monitor and evaluate: Continuously monitor and evaluate the implementation of the recommendations. Collect data on the selected indicators at regular intervals to assess the progress and impact of the interventions.

5. Analyze the data: Analyze the collected data to determine the changes in the selected indicators over time. Compare the data with the baseline to assess the impact of the recommendations on improving access to maternal health.

6. Adjust and refine: Based on the analysis of the data, make adjustments and refinements to the interventions as needed. This iterative process can help optimize the impact of the recommendations.

7. Replicate and scale-up: If the interventions prove to be successful in improving access to maternal health, consider replicating and scaling up the interventions in other settings or regions to reach a larger population.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and make informed decisions for future interventions.

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