Continuum of maternal healthcare services utilisation and associated factors among women who gave birth in Siyadebirena Wayu district, Ethiopia: Community-based cross-sectional study

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Study Justification:
The study aimed to analyze the prevalence and factors associated with the continuum of maternal healthcare services among women in Siyadebirena Wayu district, Ethiopia. This is important because understanding the utilization of maternal healthcare services is crucial for improving maternal and child health outcomes. By identifying the factors that influence healthcare utilization, policymakers and healthcare providers can develop targeted interventions to improve access and quality of care.
Highlights:
– Only 16.1% of women in Siyadebirena Wayu district had used a complete continuum of maternal health services.
– Factors positively associated with maternal healthcare utilization included contraceptive use, autonomy, urban residence, education, proximity to health facilities, use of public transportation, and good knowledge about maternal healthcare.
– On the other hand, women who had a third child birth order were negatively associated with maternal healthcare utilization.
Recommendations for Lay Reader:
– Health education programs should be conducted to raise awareness among women about the importance of utilizing maternal healthcare services.
– Efforts should be made to improve access to healthcare facilities, especially in rural areas.
– Women should be encouraged to use contraceptives and have greater decision-making autonomy regarding their healthcare needs.
Recommendations for Policy Maker:
– Scale up healthcare facilities in Siyadebirena Wayu district to improve access to maternal healthcare services.
– Allocate resources for health education programs that aim to enhance women’s awareness of maternal healthcare services.
– Collaborate with local communities and stakeholders to address the factors that hinder maternal healthcare utilization, such as transportation barriers and limited knowledge.
Key Role Players:
– Ministry of Health: Responsible for developing policies and guidelines related to maternal healthcare services.
– District Health Office: Implements and oversees healthcare programs at the district level.
– Healthcare Providers: Deliver maternal healthcare services and provide counseling and support to women.
– Community Health Workers: Play a crucial role in raising awareness and providing education about maternal healthcare services.
– Non-Governmental Organizations: Support the implementation of maternal healthcare programs and provide resources and expertise.
Cost Items for Planning Recommendations:
– Health education materials and campaigns
– Training programs for healthcare providers and community health workers
– Infrastructure development and expansion of healthcare facilities
– Transportation services to improve access to healthcare facilities
– Monitoring and evaluation activities to assess the impact of interventions
Please note that the cost items provided are general examples and may vary depending on the specific context and needs of Siyadebirena Wayu district.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a community-based cross-sectional study, which provides valuable information about the prevalence and factors associated with continuum of maternal healthcare services in Siyadebirena Wayu district, Ethiopia. The sample size was determined using a formula, and appropriate statistical analyses were conducted. The study identified several factors positively and negatively associated with continuum of maternal healthcare utilization. However, the abstract does not provide information about the response rate or potential limitations of the study. To improve the evidence, future studies could consider increasing the sample size, providing more detailed information about the study population, and addressing potential limitations in the abstract.

Objective This study aimed to analyse the prevalence and factors associated with continuum of maternal healthcare services among women who gave birth in Siyadebirena Wayu district, Central Ethiopia. Design Community-based cross-sectional study. Setting At eight Kebeles in Central Ethiopia. Participants The study was done on 614women aged 15–49 years using interviewer-administered structured questionnaire. Following proportional allocation of the sample, we used simple random sampling technique to select study participants. Methods Binary logistic regression model was fitted to identify the factors associated with the outcome. Variables with p<0.2 in the bivariable analysis were the candidates for multivariable analysis. A p<0.05 and adjusted OR (AOR) with 95% CI were taken to declare the factors and the strengths of association with continuum of maternal healthcare utilisation. Outcome Continuum of maternal healthcare utilisation. Results Only 16.1% (95% CI 13.3% to 19.0%) of the women had used a complete continuum of maternal health services. Variables, such as contraceptive use (AOR 4.95; 95%CI 1.61 to 15.20), autonomy (AOR 4.45; 95%CI 1.69 to 11.60), urban residence (AOR 3.91; 95%CI 1.06 to 14.39), educated women (AOR 5.36; 95%CI 1.15 to 25.06), took less than 30min to reach a health facility (AOR 3.17; 95%CI 1.38 to 7.25), use public transportation (AOR 2.48; 95%CI 1.12 to 5.52) and good knowledge (AOR 9.88; 95%CI 3.89 to 25.0) were positively associated with continuum of maternal healthcare. In the contrary, women who had third child birth order (AOR 0.22; 95%CI 0.06 to 0.8) was negatively associated. Conclusions Overall, the level of the continuum of maternal healthcare services utilisation was low compared with the national and global targets. Therefore, programme planners and implementer had better conduct health education to enhance the awareness of women about continuum of maternal healthcare services. Healthcare sector policy-makers and managers shall also scale up healthcare facilities to improve access to maternal healthcare services.

A community-based cross-sectional study was conducted from 1 February 2020 to 10 March 2020 in Siyadebirena Wayu district which is located in Central Ethiopia. This district borders surrounded by the Oromia Region in the South, Ensaro in the West, Moretna Jiru in the North, and Basona Werana in the East. Based on the 2007 national census conducted by the Central Statistical Agency of Ethiopia, this district has a total population of 61,046, of whom, 31 322 were men and 7.41% were urban inhabitants.25 There are one urban and thirteen rural kebeles in the district. There are 18 healthcare facilities:1 primary hospital, 3 health centres and 14 health posts that provide outpatient service, inpatient service and maternal health service to their catchment population.26 All reproductive age women (15–49 years) in Siyadebirena Wayu district who gave birth 1 year ago from the data collection period were the source population while those women in the selected kebeles of the district were the study population. Those seriously ill women and women who lived less than 6 months in the district during the data collection period were excluded from the study. The sample size was determined using single population proportion formula: n=(Za/2)2P(1−P)d2. Proportion (p=9.7%) of mothers had continuum of maternal healthcare service utilisation in Arbaminch, Ethiopia18; 3% margin of error; 95% confidence level at Z⍺/2 (α=0.05)=1.96; 10% non-response rate and 1.5 design effect were considered for sample size determination. As a result, the final sample size was 620. In the study area, there are one urban and thirteen rural Kebeles. After stratifying into urban and rural areas, 1 and 7 sample kebeles were drawn from urban and rural kebele in the district, respectively, by lottery method (simple random sampling). We used the lists of all eligible women including mothers who gave birth at home from the health posts’ community health information system (CHIS) maternal data on women who gave births from January 2019 to January 2020. In order not to miss women who gave birth at home or those who delivered at health facility but not found in that selected kebeles, health development army leaders were used to identify those mothers in each selected kebeles. Then, simple random sampling technique was used to select the participants after proportional allocation of women to each selected kebele had been made. Continuum of maternal healthcare utilisation was the dependent variable. The independent variables included sociodemographic factors (women’s age, marital status, women’s educational status, husband’s educational status, women’s employment status, husband’s employment status, religion, residence and monthly income), health service accessibility-related factors (membership of health insurance, perceived required time to reach a health facility, perceived distance from the health facility, perceived quality of care, media exposure, autonomy and means of transport), obstetric characteristics (ANC initiation, history of contraceptive use, desire for pregnancy, and birth order), and women’s knowledge-related factors (knowledge towards maternal healthcare and attitude towards maternal healthcare). Continuum of maternal healthcare utilisation was assumed to be completed if a woman had at least four prenatal care visits, skilled delivery, and at least one PNC visit within 6 weeks by skilled health workers.14 18 19 27–29 Knowledge about maternal healthcare was measured by using 12 knowledge measuring items. Accordingly, each item contains (‘1=yes’ and ‘0=no’ alternatives) and those women who scored above 50% of the total knowledge measuring score were considered as having good knowledge.29 Attitude towards maternal healthcare was measured using six attitude measuring items, each containing a five point Likert scale (1=strongly disagree, 2=disagree, 3=neutral, 4=agree and 5=strongly agree) and those women who scored above 75% of the total attitude measuring scores were considered as having a favourable attitude.29 Media exposure of the women was considered if they had a chance of getting maternal health-related information from any source, such as radio, television (TV), magazine, health professionals, etc.30 Perceived quality of maternal healthcare of the women was measured by using 11-item questions, each containing a five point Likert scale (1=strongly disagree, 2=disagree, 3=neutral, 4=agree and 5=strongly agree), and those women who scored over 75% of the total quality perception measuring score were considered as having good perception.31 A woman was considered as having decision-making autonomy if she had a power to decide for healthcare needs by herself or with her husband.18 A structured interviewer administered questionnaire was developed through reviewing previous literatures14 16 18 29–34 (online supplemental file 1). The questionnaire was prepared in English and translated to Amharic and back to English to maintain its consistency. The English language questionnaire was translated into the Amharic language by the authors of this research with the help of a language expert. The back-translation of the Amharic version was performed by senior academic staff of the Department of Health Systems and Policy who were not members of the research group and had no information about the original questionnaire. Then, the authors, the language expert and the senior academic staff members met and discussed the translation and back-translation. Finally, the last Amharic version of the questionnaire was prepared for data collection. bmjopen-2021-051148supp001.pdf Seven diploma and seven BSc degree graduate nurses were employed as data collectors and supervisors, respectively. Different measures were taken in order to assure the quality of the data. A 2-day training was given for data collectors and supervisors on the basic techniques of data collection. Pretest was also done in Enewari district on 31 participants to assess the validity, reliability and the clarity of the tools. Necessary modification was also done on unclear questions after the pretest. The result of the reliability test (Cronbach’s alpha) for attitude towards maternal healthcare, knowledge about maternal healthcare, and perceived quality of healthcare was 0.72, 0.81 and 0.8, respectively. Regular monitoring and supervision of the overall activity was done by the supervisors and principal investigator to check the completeness and the quality of data. The data were checked for completeness, cleaned, coded and entered into EPI Data then exported to SPSS V.22 for analysis. Descriptive statistics were done and the result was presented with narrations, tables and graphs based on the nature of the variables. Both bivariable and multivariable logistic regression analyses were done. Model fitness was checked by Hosmer and Lemeshow goodness of test which was p=0.7. Variables having p<0.2 in the bivariable analysis were entered into the multivariable logistic regression analysis to identify the factors significantly associated with the outcome variable. Adjusted OR (AOR) with 95% CI and p<0.05 during the multivariable analysis were used to identify and measure the strength of the association with the outcome variables. The participants had got clear information about the procedures, risks and benefits of the study. In addition, it was also ensured that participants understood the information provided to decide voluntarily whether they want to participate or not. Written informed consent was obtained from each study participant to ensure their voluntariness for participation in this study. Assent from the parents/guardians were taken for participants aged below 18 years. The privacy and confidentiality of the participants were maintained by using anonymity. Before the data collection, we communicated with the district and kebele administrators about the nature of our study. Subsequently, we ensured the full collaboration and cooperation of the district and the local administration. We interviewed the participants after clarifying the benefits and risks of the study and obtaining their permission.

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

1. Mobile Health (mHealth) Solutions: Implementing mobile health technologies, such as SMS reminders for prenatal care appointments, mobile apps for tracking pregnancy milestones, and telemedicine consultations, can help improve access to maternal healthcare services, especially in remote areas.

2. Community Health Workers (CHWs): Training and deploying community health workers who can provide basic maternal healthcare services, education, and referrals in underserved areas can help bridge the gap in access to care.

3. Transportation Solutions: Improving transportation infrastructure and providing transportation subsidies or vouchers for pregnant women can help overcome geographical barriers and ensure timely access to healthcare facilities.

4. Health Education and Awareness Campaigns: Conducting targeted health education campaigns to raise awareness about the importance of maternal healthcare services and the available resources can help increase utilization rates.

5. Strengthening Health Facilities: Investing in the expansion and improvement of healthcare facilities, particularly in rural areas, can enhance access to quality maternal healthcare services.

6. Financial Incentives: Providing financial incentives, such as conditional cash transfers or maternity benefits, can encourage pregnant women to seek and utilize maternal healthcare services.

7. Collaborative Partnerships: Establishing partnerships between healthcare providers, community organizations, and government agencies can facilitate coordinated efforts to improve access to maternal health services.

These innovations can be tailored and implemented based on the specific needs and context of Siyadebirena Wayu district in Ethiopia to enhance access to maternal healthcare services.
AI Innovations Description
The study titled “Continuum of maternal healthcare services utilization and associated factors among women who gave birth in Siyadebirena Wayu district, Ethiopia: Community-based cross-sectional study” aimed to analyze the prevalence and factors associated with the continuum of maternal healthcare services among women in Siyadebirena Wayu district, Central Ethiopia.

The study was conducted from February 1, 2020, to March 10, 2020, in Siyadebirena Wayu district, which is located in Central Ethiopia. The district has a total population of 61,046, with 7.41% being urban inhabitants. There are 18 healthcare facilities in the district, including one primary hospital, three health centers, and 14 health posts.

The study included 614 women aged 15-49 years who gave birth in the district. The participants were selected using a simple random sampling technique. Data was collected using an interviewer-administered structured questionnaire.

The study found that only 16.1% of the women had used a complete continuum of maternal health services. Factors positively associated with continuum of maternal healthcare utilization included contraceptive use, autonomy, urban residence, education, short travel time to a health facility, use of public transportation, and good knowledge about maternal healthcare. On the other hand, women who had a third child birth order were negatively associated with continuum of maternal healthcare utilization.

The study concluded that the level of continuum of maternal healthcare services utilization in the district was low compared to national and global targets. The researchers recommended that health education should be conducted to enhance women’s awareness about continuum of maternal healthcare services. They also suggested scaling up healthcare facilities to improve access to maternal healthcare services.

Based on this study, a potential innovation to improve access to maternal health could be the implementation of targeted health education programs that focus on increasing awareness about the importance of utilizing the complete continuum of maternal healthcare services. These programs could be designed to address the factors identified in the study, such as contraceptive use, autonomy, urban residence, education, travel time to health facilities, and knowledge about maternal healthcare. Additionally, efforts could be made to improve transportation infrastructure and increase the availability of healthcare facilities in rural areas to enhance access to maternal healthcare services.
AI Innovations Methodology
Based on the provided study, here are some potential recommendations for improving access to maternal health:

1. Increase awareness and education: Conduct health education programs to enhance women’s awareness about the continuum of maternal healthcare services. This can include educating women about the importance of prenatal care, skilled delivery, and postnatal care.

2. Improve healthcare facilities: Scale up healthcare facilities in the district to improve access to maternal healthcare services. This can involve increasing the number of health centers and health posts, as well as ensuring that these facilities are adequately staffed and equipped to provide quality maternal health services.

3. Enhance transportation options: Improve transportation options for women to reach healthcare facilities. This can include improving road infrastructure, increasing access to public transportation, and providing transportation subsidies for pregnant women.

4. Empower women: Promote women’s autonomy and decision-making power regarding their healthcare needs. This can involve providing information and resources to women that enable them to make informed decisions about their maternal health.

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

1. Define the indicators: Identify specific indicators that measure access to maternal health, such as the percentage of women receiving prenatal care, skilled delivery, and postnatal care within the recommended timeframes.

2. Collect baseline data: Gather data on the current status of access to maternal health services in the study area. This can involve conducting surveys, interviews, or reviewing existing data sources.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the selected indicators. This model should consider factors such as population size, healthcare infrastructure, transportation options, and women’s empowerment.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the impact of the recommendations on improving access to maternal health. This can involve adjusting variables such as the number of healthcare facilities, transportation options, and women’s empowerment levels.

5. Analyze results: Analyze the simulation results to determine the potential impact of the recommendations on the selected indicators. This can involve comparing the baseline data with the simulated data to identify any improvements in access to maternal health services.

6. Validate and refine the model: Validate the simulation model by comparing the simulated results with real-world data, if available. Refine the model based on feedback and additional data to improve its accuracy and reliability.

7. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as healthcare policymakers, program planners, and implementers. Use the results to advocate for the implementation of the recommended interventions to improve access to maternal health services.

By following this methodology, policymakers and healthcare providers can gain insights into the potential impact of specific recommendations on improving access to maternal health services and make informed decisions about resource allocation and program implementation.

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