Why do women not use skilled birth attendance service? An explorative qualitative study in north West Ethiopia

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Study Justification:
– The study aimed to explore and describe the reasons why women in North West Ethiopia do not use skilled delivery care.
– Skilled birth attendance with midwifery skills is known to reduce maternal and early neonatal morbidity and mortality.
– Despite this, many women in Ethiopia still deliver at home.
– Understanding the barriers to skilled delivery care utilization is critical for developing strategies to improve utilization and reduce maternal and neonatal mortality.
Highlights:
– The study identified two major themes: client-related factors and health system-related factors.
– Client-related factors included socio-cultural factors, fear of health facility childbirth, nature of labor, lack of antenatal care, lack of health facility childbirth experience, low knowledge, and poor early care-seeking behavior.
– Health system-related factors included low quality of service, lack of respectful care, and inaccessibility of health facilities.
– The study provides evidence that can help policymakers develop strategies to address these barriers and improve utilization of skilled delivery services.
Recommendations:
– Redress the client-related factors by considering specific supply-side and community perspectives.
– Improve the quality of service and ensure respectful care in health facilities.
– Increase accessibility of health facilities to make skilled delivery care more available and convenient for women.
Key Role Players:
– Researchers (Biruhtesfa Bekele and LM Modiba)
– Health extension workers (HEWs)
– Pregnant women and mothers who delivered within one year
– Health centers and health posts
– Regional health bureaus and zonal health departments
Cost Items for Planning Recommendations:
– Training and capacity building for health workers to improve the quality of service and provide respectful care.
– Infrastructure development to increase the accessibility of health facilities.
– Community engagement and awareness campaigns to address socio-cultural factors and improve knowledge and care-seeking behavior.
– Monitoring and evaluation systems to track the progress and impact of the strategies implemented.
Please note that the provided information is a summary based on the given description and publication. For more detailed and specific information, it is recommended to refer to the original publication in BMC Pregnancy and Childbirth, Volume 20, No. 1, Year 2020.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it is based on a descriptive explorative qualitative study conducted in two districts of North West Ethiopia. The study used focus group discussions to collect data from pregnant women and mothers who delivered within one year. The data analysis followed a rigorous process, including reading, coding, displaying, reducing, and interpreting. The study identified two major themes and several sub-themes related to client-related and health system-related factors influencing the utilization of skilled delivery care. The findings provide valuable insights for policymakers to develop strategies to address the identified barriers and improve the utilization of skilled delivery service. To improve the evidence, it would be helpful to include information on the sample size, characteristics of the participants, and any limitations of the study.

Background: Having a birth attendant with midwifery skills during childbirth is an effective intervention to reduce maternal and early neonatal morbidity and mortality. Nevertheless, many women in Ethiopia still deliver a baby at home. The current study aimed at exploring and describing reasons why women do not use skilled delivery care in North West Ethiopia. Methods: This descriptive explorative qualitative research was done in two districts of West Gojjam Zone in North West Ethiopia. Fourteen focus group discussions (FGDs) were conducted with pregnant women and mothers who delivered within one year. An inductive thematic analysis approach was employed to analyse the qualitative data. The data analysis adhered to reading, coding, displaying, reducing, and interpreting data analysis steps. Results: Two major themes client-related factors and health system-related factors emerged. Factors that emerged within the major theme of client-related were socio-cultural factors, fear of health facility childbirth, the nature of labour, lack of antenatal care (ANC) during pregnancy, lack of health facility childbirth experience, low knowledge and poor early care-seeking behaviour. Under the major theme of health system-related factors, the sub-themes that emerged were low quality of service, lack of respectful care, and inaccessibility of health facility. Conclusions: This study identified a myriad of supply-side and client-related factors as reasons given by pregnant women, for not giving birth in health institution. These factors should be redressed by considering the specific supply-side and community perspectives. The results of this study provide evidence that could help policymakers to develop strategies to address barriers identified, and improve utilisation of skilled delivery service.

This study was part of a bigger research project by the researchers (Biruhtesfa Bekele and LM Modiba) and details of the research methods have been published elsewhere [22]. The research was done in two rural districts (Womberema and Burie Zuria) of the Amhara region in North West Ethiopia. Primarily, the Amhara regional state was selected for this study because of the low coverage of skilled delivery service (27.1%) [2]. By selecting this region, which was identified as having low performance in skilled delivery service, the study intended to inform designing of strategies that will help in improving utilization of skilled delivery care. By doing so, an in-depth understanding of reasons for poor or no utilization of skilled delivery care, was critical. As data acquired from regional routine health management information system (HMIS) reports evidenced, there was a variation in coverage of skilled delivery performance among health institutions and district health offices in the study region. Though several districts had low performance, a few of them were performing well. Our study focused on the districts with low performance in skilled delivery care. Well-performing districts in skilled delivery care were excluded from the study, because this research was not a comparison study. Each of the study districts comprised of 20 rural kebeles, 4 health centers, and 20 health posts. We purposively selected 7 kebeles for this study, 4 of them were from Burie Zuria District and the remaining three kebeles were from Womberema district. The detail of the sampling of the research sites is portrayed in Fig. 1. Sampling procedure of the study sites A qualitative descriptive explorative study design was employed to explore and describe why pregnant women in North West Ethiopia do not use skilled delivery service. A descriptive qualitative research was done because the phenomenon of interest in the current study has been well-defined, and because of the need to describe the subject of study accurately and present a detailed picture or accounts of the phenomenon of interest [23]. In view of this, the coverage of utilization of skilled delivery care in the study districts and region has been well known and many quantitative researches have been conducted on the subject under study. Therefore, this descriptive qualitative research was done aimed at describing and presenting a detailed accounts or pictures on why mothers do not use skilled delivery care in the study areas. To capture reasons for home childbirth, data were collected from pregnant women, and mothers who delivered in the past one year. The research participants were purposively included in the study if they had previously given birth once or more at home, in health institution or both. The study subjects were identified through health extension workers (HEWs), who work in the selected kebeles and serve the community by providing basic promotive, preventive, and selected curative services. We also corroborated whether the selected participants fulfilled the inclusion criteria or not. Before embarking on the actual data collection, we established a good rapport with the study subjects, and this enabled us to win their trust which helped to obtain the information needed. The researchers also asked the participants a series of follow-up and probing questions, after posing the main question. This helped to take the discussions to a deeper level and obtain required information. Two experienced qualitative data collectors who were graduates of health science and social science conducted the data collection. A focus group discussion was used to capture the data. The researchers prepared and used a semi-structured FGD guide to guide the group discussions. We conducted pretesting of the preliminary FGD guides with each of the research participants who were excluded from the actual data collection. This helped in estimating time required to conduct the interviews and FGDs, to refine the interview guides and questions, to check appropriateness of the data capturing procedures and to familiarise the researcher with the data recording equipment (audiotape recorder). All the FGDs were conducted in Amharic, which is the official business language of Ethiopia and is widely spoken in the region. The data collectors conducted the FGDs in the compounds of the health posts because of health posts’ accessibility to research participants and avoid any disturbance from non-participants because the health posts had a fence. We made sure that the HEWs were not around while the FGDs were underway. The FGDs lasted between 60 to 90 min. The data collectors took field notes during FGDs, expanded notes after each FGD sessions, and shared with researchers and data collectors. All the FGDs were digitally recorded with participants’ consent using two audiotape recorders, one was used as a backup, in case the other audio tape recorder failed. We conducted FGDs separately with pregnant women (7 FGDs) and mothers who delivered within 12 months (7 FGDs). The researcher recognised that no new idea or insight emerged after conducting five FGDs with pregnant women and five with mothers who delivered a child within one year. This revealed data saturation and was confirmed as such, with a final additional of two FGDs with pregnant women and two with mothers who delivered a child within one year. Those two final FGDs were added only for sake of confirmation of point of saturation; otherwise, it had no any relevance. An inductive thematic analysis approach was employed to analyse the qualitative data. The translated data were exported onto Atlas ti version 7 software to efficiently store, organise, manage and reconfigure the data to enable human analytic reflection. The current study adhered to data analysis steps which included reading, coding, displaying, reducing, and interpreting. The data analysis was initiated in the field before completion of data collection. The researcher listened to the audio files and read the expanded field notes and transcripts after each FGD session is completed and the transcribed data were ready to use. The audiotape records of the FGDs were transcribed and the data collectors prepared the interview transcripts for analysis expanded the field notes. The researcher translated the Amharic transcripts directly into English. To ensure accuracy of the translation, a colleague of the researcher, who has high level of proficiency in both English and Amharic language, checked the consistency of the translation. The engagement of the researcher in the translation and partly in the transcription of the interviews helped to familiarise and acquaint himself with concepts. Moreover, the whole process of analysing the data in advance helped to make necessary revisions and refinements before subsequent FGD sessions took place. The transcribed data (transcripts) were imported to the Atlas ti version 7 data analysis software as a primary document, using the assign command in the main menu of the Atlas ti. The researcher labelled the coded texts with words that explain the text description. The techniques employed for coding were open coding, quick coding and coding by list. The researcher used the open coding command when coding for the first time. Coding by list helped to assign existing codes to a selection and quick coding was employed to assign currently selected codes to consecutive text segments. The codes were then examined to form categories and sub-categories. The study explored patterns of categories to discover emerging themes. The study credibility, where the results of the research are closely related to reality, was achieved through prolonged engagement, triangulation, peer debriefing, and member check. Prolonged engagement involves establishing adequate contact with the participants and the context with the objective of acquiring data the researchers needs. We spent adequate period of time in the study areas with the research participants in FDGs and this enabled the researchers to acquire adequate understanding of the contexts and to establish rapport with the participants. We also collected separate data from pregnant women and mothers who delivered a child recently, who have different childbirth experiences, to conduct data triangulation. Besides, peer debriefing was held with colleagues from universities who were experienced in qualitative research, and presentation of the results and interpretations of the data were made. This helped to avoid bias and misinterpretation of the data and unfolded aspects of the research that remained covert. Member check was also used to ensure the study credibility in which study participants were allowed to validate whether the researchers’ interpretations were a good representation of the participants’ realities. To conduct this study, ethical clearance was secured from the UNISA Department of Health Studies Higher Degrees Committee and Amhara Regional Health Bureau Research and Laboratory Department. The research got letters of support from regional health bureaus and zonal health departments to get access to the study sites. Written informed consent was acquired from participants who could read and write and fingerprints were used for participants unable to read and write. Confidentiality was ensured by removing all names and addresses of participants from the data collecting tools. The information that the participants provided was also kept confidential and used only for the research. Only codes were used to identify participants. Data collected were kept in the strictest confidence; they were not made public. The audio files, saved on memory cards, were also erased after the completion of the research. Only aggregated demographic information was reported to maintain anonymity.

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Based on the study titled “Why do women not use skilled birth attendance service? An explorative qualitative study in North West Ethiopia,” the following recommendations can be made to develop innovations that improve access to maternal health:

1. Client-related factors:
– Develop culturally sensitive interventions: Create programs that address traditional beliefs and practices surrounding childbirth. This can include community education programs, engaging local leaders and influencers, and promoting the benefits of skilled birth attendance.
– Alleviate fear of health facility childbirth: Implement strategies to reduce fear and anxiety, such as providing information and counseling on the safety and benefits of giving birth in a health facility, and ensuring a supportive and respectful environment for women during childbirth.
– Strengthen antenatal care (ANC) services: Improve ANC services and promote early and regular attendance to ensure women receive appropriate care and information about the importance of skilled delivery care.
– Improve knowledge and early care-seeking behavior: Develop targeted health education campaigns to improve knowledge about the benefits of skilled delivery care and encourage early care-seeking behavior.

2. Health system-related factors:
– Improve quality of service: Enhance the skills and competencies of healthcare providers, ensure the availability of necessary equipment and supplies, and implement quality improvement initiatives to improve the quality of skilled delivery care.
– Promote respectful care: Train healthcare providers on respectful and compassionate care, ensuring that women are treated with dignity and respect during childbirth.
– Increase accessibility of health facilities: Expand infrastructure and transportation options, particularly in rural areas, to increase the availability and accessibility of health facilities.

By addressing these factors, policymakers and healthcare providers can develop strategies and interventions that specifically target the barriers identified in the study, ultimately improving the utilization of skilled delivery services and reducing maternal and neonatal morbidity and mortality.
AI Innovations Description
The recommendation that can be used to develop an innovation to improve access to maternal health based on the study is to address the client-related and health system-related factors identified as barriers to utilizing skilled delivery care.

1. Client-related factors:
– Socio-cultural factors: Develop culturally sensitive interventions that address traditional beliefs and practices surrounding childbirth. This can include community education programs, engaging local leaders and influencers, and promoting the benefits of skilled birth attendance.
– Fear of health facility childbirth: Implement strategies to alleviate fear and anxiety, such as providing information and counseling on the safety and benefits of giving birth in a health facility, and ensuring a supportive and respectful environment for women during childbirth.
– Lack of antenatal care (ANC) during pregnancy: Strengthen ANC services and promote early and regular attendance to ensure women receive appropriate care and information about the importance of skilled delivery care.
– Low knowledge and poor early care-seeking behavior: Develop targeted health education campaigns to improve knowledge about the benefits of skilled delivery care and encourage early care-seeking behavior.

2. Health system-related factors:
– Low quality of service: Improve the quality of skilled delivery care by enhancing the skills and competencies of healthcare providers, ensuring the availability of necessary equipment and supplies, and implementing quality improvement initiatives.
– Lack of respectful care: Train healthcare providers on respectful and compassionate care, ensuring that women are treated with dignity and respect during childbirth.
– Inaccessibility of health facility: Increase the availability and accessibility of health facilities by expanding infrastructure and transportation options, particularly in rural areas.

By addressing these factors, policymakers and healthcare providers can develop strategies and interventions that specifically target the barriers identified in the study, ultimately improving the utilization of skilled delivery services and reducing maternal and neonatal morbidity and mortality.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health, you can follow these steps:

1. Define the simulation objectives: Clearly state the goals of the simulation, such as assessing the potential impact of the recommendations on increasing the utilization of skilled delivery care and reducing home childbirth rates.

2. Identify the key variables: Determine the variables that will be included in the simulation, such as the number of women utilizing skilled delivery care, the number of home births, and the factors influencing these outcomes (e.g., socio-cultural factors, fear of health facility childbirth, quality of service).

3. Collect baseline data: Gather data on the current utilization of skilled delivery care, home childbirth rates, and the identified client-related and health system-related factors. This data will serve as the baseline for comparison.

4. Develop a simulation model: Create a mathematical or computational model that represents the relationships between the variables and factors identified in the study. This model should capture the dynamics of maternal health access and allow for scenario testing.

5. Define scenarios: Design different scenarios that reflect the implementation of the recommendations. For example, you can simulate the impact of improving the quality of service by increasing the skills and competencies of healthcare providers, or the impact of addressing socio-cultural factors through community education programs.

6. Run the simulation: Input the baseline data and the parameters for each scenario into the simulation model. Run the simulation to generate results for each scenario, such as the projected increase in skilled delivery care utilization and the decrease in home childbirth rates.

7. Analyze the results: Compare the outcomes of each scenario to the baseline data to assess the potential impact of the recommendations. Look for trends, patterns, and significant changes in the utilization of skilled delivery care and home childbirth rates.

8. Interpret the findings: Interpret the simulation results and draw conclusions about the potential effectiveness of the recommendations in improving access to maternal health. Consider the limitations of the simulation and any additional factors that may influence the outcomes.

9. Communicate the findings: Present the simulation findings in a clear and concise manner, highlighting the potential benefits of implementing the recommendations. Share the results with policymakers, healthcare providers, and other stakeholders involved in maternal health to inform decision-making and action.

Remember that a simulation is a simplified representation of reality and its accuracy depends on the quality of the data and assumptions used. It is important to validate the simulation results with real-world data and consider other contextual factors when making decisions based on the findings.

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