Community’s experience and perceptions of maternal health services across the continuum of care in Ethiopia: A qualitative study

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Study Justification:
– The study aimed to explore the community perceptions on the continuum of care for maternal health services in Ethiopia.
– The information regarding community perceptions on maternal health services across the continuum of care is limited in low-income settings.
– Understanding community perceptions is essential for improving the utilization of maternal health services.
Highlights:
– The study identified three primary themes: practice of maternal health services, factors influencing the decision to use maternal health services, and reasons for discontinuation across the continuum of maternal health services.
– Women faced multiple challenges in accessing and utilizing maternal health services, including late antenatal care booking, negative experiences during care, poor quality of care, incompetent and unfriendly health providers, disrespectful care, high opportunity costs, difficulties in transportation, and lack of awareness about postnatal care.
– The study highlighted the need to address these challenges to improve the utilization of maternal health services.
Recommendations:
– Improve access to and utilization of antenatal care services by addressing barriers such as late booking, poor quality of care, and negative experiences.
– Enhance the quality of care provided by health providers through training and supervision to ensure competent and friendly care.
– Promote awareness about postnatal care services and ensure that women are scheduled for postpartum consultations.
– Address challenges related to service access and opportunity costs by improving transportation facilities and reducing financial burdens on women seeking maternal health services.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of maternal health services.
– Health Extension Workers (HEWs): Community health workers who play a crucial role in promoting maternal health services and linking women to care.
– Community and Religious Leaders: Influential figures who can advocate for the importance of maternal health services and support community engagement.
– Women Development Army (WDA): Community volunteers who can help promote key messages related to skilled maternal health care and identify pregnant women in their communities.
Cost Items for Planning Recommendations:
– Training and capacity building for health providers: Budget for training programs to improve the quality of care provided by health providers.
– Transportation facilities: Allocate funds for improving transportation options for women seeking maternal health services.
– Awareness campaigns: Budget for community awareness campaigns to promote the importance of antenatal and postnatal care.
– Supervision and monitoring: Allocate resources for regular supervision and monitoring of health facilities to ensure quality care.
– Community engagement activities: Set aside funds for community engagement activities, such as training and support for HEWs and WDAs.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a qualitative study that employed a phenomenological research approach. The study used focus group discussions and in-depth interviews to explore community perceptions on the continuum of care for maternal health services in Ethiopia. The data were coded and analyzed thematically using ATLAS.ti software. The study identified three primary themes: practice of maternal health services, factors influencing the decision to use maternal health services, and reasons for discontinuation across the continuum of maternal health services. The findings highlight multiple challenges faced by women in utilizing maternal health services, including late antenatal care booking, negative experiences during care, and lack of awareness about postnatal care. The evidence provided in the abstract is based on qualitative data and provides insights into the community’s experiences and perceptions. However, to improve the strength of the evidence, it would be beneficial to include information on the sample size, demographics of the participants, and the specific methods used for data collection and analysis.

Background Continuum of care is an effective strategy to ensure that every woman receives a series of maternal health services continuously from early pregnancy to postpartum stages. The community perceptions regarding the use of maternal services across the continuum of care are essential for utilization of care in low-income settings but information in that regard is scanty. This study explored the community perceptions on the continuum of care for maternal health services in Ethiopia. Methods This study employed a phenomenological qualitative research approach. Four focus group discussions involving 26 participants and eight in-depth interviews were conducted with women who recently delivered, community health workers, and community leaders that were purposively selected for the study in West Gojjam zone, Amhara region. All the interviews and discussions were audio-taped; the records were transcribed verbatim. Data were coded and analyzed thematically using ATLAS.ti software. Results We identified three primary themes: practice of maternal health services; factors influencing the decision to use maternal health services; and reasons for discontinuation across the continuum of maternal health services. The study showed that women faced multiple challenges to continuously uptake maternal health services. Late antenatal care booking was the main reasons for discontinuation of maternal health services across the continuum at the antepartum stage. Women’s negative experiences during care including poor quality of care, incompetent and unfriendly health providers, disrespectful care, high opportunity costs, difficulties in getting transportation, and timely referrals at healthcare facilities, particularly at health centers affect utilization of maternal health services across the continuum of care. In addition to the reverberation effect of the intrapartum care factors, the major reasons mentioned for discontinuation at the postpartum stage were lack of awareness about postnatal care and service delivery modality where women are not scheduled for postpartum consultations. Conclusion This study showed that rural mothers still face multiple challenges to utilize maternal health services as recommended by the national guidelines. Negative experiences women encountered in health facilities, community perceptions about postnatal care services as well as challenges related to service access and opportunity costs remained fundamental to be reasons for discontinuation across the continuum pathways.

The Ethiopian health system is structured into primary level care, secondary level care, and tertiary level care. The primary care structure found in a woreda (i.e., district) health system comprises a primary hospital, 4–5 health centers, and 20–25 health posts for the delivery of basic curative, preventive and promotive community and outreach services with a seamless continuum. Ethiopia has employed different community engagement approaches for decades through the use of voluntary community health workers with various names and scopes of practice including community health agents, community-based reproductive health workers, community health promoters or volunteers, and traditional birth attendants. Since 2004, the country has expanded community health services through the expansion of the HEP and actively engaging community volunteers to reach most communities and households [32]. In 2011, the community engagement has restructured and introduced the Women Development Army (WDA) strategy to further strengthen the HEP, and participation of individuals, families, and communities. Under the WDA strategy, women are organized and mobilized in groups to share actionable messages and influence each other to adopt and practice healthy behaviors [38]. Women development groups support Health Extension Workers (HEWs) in promoting key messages related to skilled maternal health care through social events such as coffee ceremonies, using peers during marketing, and other community events. They identify pregnant women and birth in their communities and link them to HEWs for early ANC and PNC care. The study was conducted in five rural woredas namely Burie Zuria, Dembecha, Jabi Tehnan, Quarit, and Womberima in West Gojjam Zone of Amhara region. The zone and districts were purposely selected based on the feasibility of establishing sampling frame as this zone has only five The Last Ten Kilometers (L10K) Project woredas while other L10K zones have 10 woredas, and availability of the established relationship with the zone and woredas which allowed practical feasibility to do the data collection. This helped the researchers to minimize difficulties and expenses involved in the planning and conduct of data collection. We utilized a phenomenological qualitative research approach. Based on the Andersen and Newman Framework for health services utilization model [12], we hypothesized that the continuous uptake of maternal care is influenced by the women’s and communities’ perceptions and previous experiences of care, women’s exposure to the health system at any stage of the antepartum, intrapartum, and postpartum stages, and health service and program-related factors. Accordingly, guided by this model, mothers’ and community’s experiences and perspectives regarding maternal health services were captured through in-depth interviews (IDI) and focus group discussions (FGDs) to answer the research questions in detail that is to gain individual and group/community perceptions and experiences regarding maternal health services. Three different groups of participants were selected to gain as much insight and understanding as possible about maternal health care services from the community’s perspectives. It is composed of women 15–49 years of age who have given birth in the last year before the date of data collection, community elders and community and religious leaders (all were males and hereafter referred to as community and religious leaders), and community volunteers (i.e. WDAs). Maximum variation sampling schemes were used to yield a wider perspective from various groups of stakeholders. We subdivided the woredas (i.e. districts) into better performing and low performing strata in terms of maternal health service utilization based on routine administrative data obtained from the zonal health department. Accordingly, two of the study woredas were classified as better-performing, and the other three as low-performing woredas. In each woreda, kebeles, the smallest administrative unit, were selected based on the feasibility of convening FGD participants and availability of HEWs in the Kebele. Lastly, from each kebele, study participants were recruited with the assistance of HEWs based on pre-set selection criteria that include having lived experiences of maternal health services, being recognized as influential and motivator of maternal health service uptake in the community, and being a community volunteer or WDA. Fig 1 presents the detailed sampling frame and respondents’ categories. The principal investigator and research assistants collected and analyzed informational redundancy, data saturation, after conducting three FGDs and six IDIs [39]. Data were collected in October-November 2019. Two research assistants who had experience in qualitative research along with the principal investigator collected the data. Interview and FGD guides were prepared with open-ended questions with probing questions (S1 and S2 Appendices) were used to capture the required information from study participants. The interview and discussion guides were prepared in English and translated to Amharic, the local language. The main topics of discussion included community perceptions about maternal health programs and health providers; the practice and experiences of antepartum care, facility delivery, and postpartum services; and reasons for discontinuation across the continuum of maternal health care. Then, follow-up questions were asked to help to explore their perceptions and experiences of receiving maternal health services in detail. Interviews and group discussions were conducted at a convenient place in the community. Focus group discussions were used to explore information about the social context and discussed the differences among participants. The size of the FGD ranged from 6–8 participants to elicit group-level perceptions by facilitating active interaction. The FGD sessions lasted between 49 and 99 minutes (discussions with WDAs lasted longer which might be due to their lived experience as a mother as well as their engagement in promoting maternal health messages as a community volunteer). Individual interviews were conducted with recently delivered mothers, WDAs, and community and religious leaders to investigate personal perspectives; some private issues, for instance, delivery experience; issues that were raised during FGD that needs further investigation; and to identify opportunities for improving maternal health services. Interview sessions lasted between 21 and 43 minutes. The principal investigator ensured the quality of the data by conducting regular reflective discussions with the research assistants. These discussions were held between the interviews or discussion sessions to discuss key findings, refine the FGD and IDI guides, and identify strategies that continually enhance the line of inquiry following the tradition of emergent design in qualitative research. Throughout the data collection, the study participants were probed to elaborate on or clarify what they have said during the interviews or group discussions to confirm the accuracy of the information captured and the meanings that the participants intended to ascribe to. Throughout the data collection and archive, we ensured confidentiality of the data. Individual personal identifiers were not collected and authors did not have access to information that could identify individual participants during or after data collection. All interviews and discussions were audio-taped with the consent of the study participants and the records were transcribed verbatim by the principal investigator and the research assistants. The principal investigator listened to the audio records and read through the transcripts several times to have an overall sense of the data and to organize the transcripts. The transcript texts were exported to ATLAS.ti software for analysis. A transcript analysis approach was employed which involved familiarization, coding and categorizing data, identifying themes and interpretation stages. Both deductive and inductive coding approach was applied. Guided by the conceptual framework and interview and discussion guides, pre-defined initial codes were developed (open coding) before data collection. Then, each code was further analyzed and disaggregated into categories and sub-themes (deductive axial coding). Iteratively, through reading the data, all data were subsequently classified into one of the codes. Additional codes were added while reading the data, categories, and sub-categories that had not been previously identified (inductive approach). Data were triangulated from responses obtained from IDIs and FGDs to compare them with responses from the different community groups. The categories and the concepts that emerged from interviews and discussions were verified by consistently linking the emerging categories with the data received from the other groups of informants to improve the trustworthiness of the qualitative data analysis. Quotes were used to enhance credibility and substantiate the narrative with participants’ own words. Reports of quotations for selected codes were generated in ATLAS.ti software. Themes and patterns of interrelationships between the themes were identified and reported. Ethical clearance was obtained from the Research and Community Service Office of the University of Gondar (reference number V/P/RCS/05/2505/2019; dated on 25 August 2019). The objectives, methodology, purpose of the study, and the benefits and risks of the study were explained to all study participants. Before data collection, participants were also informed of their right to voluntarily participate in the study. Verbal consent was sought and documented before conducting any interviews and discussions. Because the majority of the respondents were not expected to be able to read or write; written consent was not sought. If the respondent agreed to be interviewed after listening to the consent statement, the interviewer marked the consent form as consent given below the consent statement and signed below that. The interviewer continued with the interview only after receiving and documenting consent. The survey protocol submitted to the ethical review committee included the study questionnaire with the statement that described the consent-obtaining procedure. The primary investigator oriented data collectors on ethical and methodological issues and supervisors followed them throughout the data collection period to monitor any ethical breach. To ensure the privacy of study participants, respondents were interviewed in a conducive environment; and confidentiality of the data were guaranteed by preserving the anonymity of the study participants. Individual personal identifiers were not collected, to ensure the anonymity of data and the researcher would keep the information obtained from the research participant in private or will withhold information from others, to respect the confidentiality and privacy of study participants. Identifying information (names and addresses) was not included in the data collection instrument.

Based on the provided description, here are some potential innovations that could improve access to maternal health:

1. Mobile Health (mHealth) Solutions: Develop mobile applications or text messaging services to provide pregnant women with information and reminders about antenatal care appointments, postnatal care, and other important aspects of maternal health.

2. Telemedicine: Implement telemedicine services to enable remote consultations between healthcare providers and pregnant women in rural areas. This can help overcome geographical barriers and provide access to specialized care.

3. Community Health Workers (CHWs): Strengthen the role of CHWs by providing them with additional training and resources to support pregnant women in their communities. CHWs can conduct home visits, provide education, and facilitate referrals to healthcare facilities.

4. Transportation Support: Establish transportation networks or partnerships to ensure that pregnant women have access to reliable transportation to healthcare facilities. This can include arranging for ambulances or providing subsidies for transportation costs.

5. Maternal Waiting Homes: Set up maternal waiting homes near healthcare facilities to accommodate pregnant women who live far away. These homes can provide a safe and comfortable place for women to stay before and after delivery, ensuring timely access to care.

6. Community Engagement Programs: Implement community engagement programs that involve women, families, and community leaders in promoting maternal health. These programs can raise awareness, address cultural beliefs and practices, and encourage community support for maternal health services.

7. Quality Improvement Initiatives: Implement quality improvement initiatives in healthcare facilities to address the negative experiences reported by women. This can involve training healthcare providers on respectful and culturally sensitive care, improving infrastructure and equipment, and enhancing the overall quality of services.

8. Postnatal Care Programs: Develop and promote postnatal care programs that emphasize the importance of postpartum consultations. This can include scheduling follow-up visits, providing education on postpartum care, and ensuring that women are aware of available services.

These innovations can help address the challenges faced by women in accessing and utilizing maternal health services, ultimately improving maternal health outcomes.
AI Innovations Description
Based on the description provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Strengthen Community Engagement: The study highlights the importance of community perceptions and experiences in influencing the utilization of maternal health services. To improve access, it is recommended to strengthen community engagement strategies. This can be done through the expansion and active involvement of community health workers, such as Women Development Army (WDA) members, who can play a crucial role in promoting key messages related to skilled maternal health care. They can identify pregnant women in their communities and link them to health extension workers for early antenatal and postnatal care. Additionally, community engagement activities, such as coffee ceremonies and community events, can be utilized to disseminate information and educate the community about the importance of maternal health services.

By implementing this recommendation, communities can be empowered to take ownership of their maternal health and actively participate in seeking and utilizing maternal health services. This can lead to increased awareness, improved utilization of care, and ultimately better maternal health outcomes.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Strengthening antenatal care services: Focus on promoting early antenatal care booking and ensuring that pregnant women receive comprehensive and timely care throughout their pregnancy. This can be achieved through community awareness campaigns, training of healthcare providers, and improving the availability and accessibility of antenatal care services.

2. Enhancing the quality of care: Address the negative experiences and challenges faced by women during their interactions with healthcare providers. This can be done by improving the competency and friendliness of health providers, ensuring respectful care, and addressing issues related to the quality of care provided.

3. Improving transportation and referral systems: Address the difficulties faced by women in accessing healthcare facilities by improving transportation options and ensuring timely referrals when needed. This can involve establishing transportation networks, providing subsidies for transportation costs, and strengthening referral systems between different levels of healthcare facilities.

4. Increasing awareness about postnatal care: Address the lack of awareness about postnatal care services by implementing community-based education programs and utilizing community volunteers to disseminate information about the importance of postnatal care and the availability of 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 key indicators that reflect access to maternal health services, such as the percentage of women receiving early antenatal care, the percentage of women receiving comprehensive antenatal care, the percentage of women accessing postnatal care, and the percentage of women reporting positive experiences with healthcare providers.

2. Collect baseline data: Gather data on the current status of these indicators in the target population. This can be done through surveys, interviews, or existing data sources.

3. Develop a simulation model: Create a mathematical or computational model that simulates the impact of the recommendations on the selected indicators. This model should take into account factors such as population size, healthcare infrastructure, and the effectiveness of the proposed interventions.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to estimate the potential impact of the recommendations on the selected indicators. This can involve adjusting different parameters, such as the coverage of interventions or the rate of behavior change, to explore different scenarios.

5. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on improving access to maternal health. This can involve comparing the simulated outcomes with the baseline data and identifying the most effective interventions or combinations of interventions.

6. Validate and refine the model: Validate the simulation model by comparing the simulated outcomes with real-world data, if available. Refine the model based on feedback and further data analysis.

7. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community leaders. Use the results to advocate for the implementation of the recommended interventions and to guide decision-making processes.

By following this methodology, it is possible to simulate the impact of recommendations on improving access to maternal health and provide evidence-based insights for decision-making and resource allocation.

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