Pregnant women’s intentions to deliver at a health facility in the pastoralist communities of afar, ethiopia: An application of the health belief model

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Study Justification:
– Giving birth at a health facility has significant benefits for maternal and child health.
– However, the practice is lower than expected in pastoralist communities of Ethiopia.
– Understanding pregnant women’s intentions to use health facilities for delivery is crucial for predicting behavior adoption.
– Limited evidence exists on intentions in the context of pastoralist populations.
– This study aimed to assess pregnant women’s intentions to use a health facility for delivery in the Afar region of Ethiopia using the Health Belief Model (HBM).
Highlights:
– A community-based, cross-sectional survey was conducted among 357 randomly sampled pregnant women.
– Factors such as household income, antenatal care attendance, perceived risk of complications, and perceived barriers to accessing a health facility were associated with pregnant women’s intentions to deliver at a health facility.
– Only 30.3% of the participants intended to use a health facility for delivery.
– Community-based interventions providing counseling and messaging on danger signs in the perinatal period and emphasizing the benefits of delivering at a facility are recommended.
Recommendations for Lay Reader and Policy Maker:
– Implement community-based interventions to provide counseling and messaging on danger signs during the perinatal period.
– Emphasize the benefits of delivering at a health facility to pregnant women in pastoralist communities.
– Improve access to health facilities by addressing perceived barriers.
– Increase antenatal care attendance among pregnant women.
– Consider the role of household income in promoting health facility deliveries.
Key Role Players:
– Community health workers
– Local health authorities
– Non-governmental organizations
– Women’s support groups
– Traditional birth attendants
– Religious leaders
– Community leaders
Cost Items for Planning Recommendations:
– Training and capacity building for community health workers and other key role players
– Development and dissemination of educational materials and counseling resources
– Transportation and logistics for outreach activities
– Monitoring and evaluation of interventions
– Advocacy and awareness campaigns
– Coordination and collaboration with local health facilities and organizations

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides a detailed description of the study design, data collection methods, and statistical analysis. However, it does not provide information on the representativeness of the sample or potential biases. To improve the evidence, the abstract could include information on the sampling strategy used to select the pregnant women, such as whether it was a random sample or if there were any exclusion criteria. Additionally, it would be helpful to mention any limitations of the study, such as potential biases or confounding factors that may have influenced the results.

Despite the significant benefits of giving birth at a health facility to improve maternal and child health, the practice remains lower than expected in pastoralist communities of Ethiopia. Understanding the intentions of pregnant women to use health facilities for delivery predicts the adoption of the behavior, yet documented evidence of intention in the context of pastoralist populations remains scarce. The current study aimed to assess pregnant women’s intentions to use a health facility for delivery in the Afar region of Ethiopia using the framework of the health belief model (HBM). A community-based, cross sectional survey was conducted from April 1 to April 30 2016 among 357 randomly sampled pregnant women using an interviewer-administered, semi-structured questionnaire. Data were entered into EpiData and exported to SPSS version 20.0 for analysis. Principal component factor analysis was done to extract relevant constructs of the model, and the reliability of items in each construct was assessed for acceptability. Multivariate logistic regressions were applied to identify predictors of pregnant women’s intentions to give birth at a health facility. The odds ratio was reported, and statistical significance was declared at 95% CI and 0.05 p value. Three hundred fifty seven pregnant women participated in the study (104.6% response rate indicating above the minimum sample size required). Among the respondents, only 108 (30.3%) participants intended to use a health facility for the delivery for their current pregnancy. Higher household average monthly income [AOR = 1.23, 95% CI = (1.10 − 2.90), antenatal clinic (ANC) attendance for their current pregnancy [AOR = 1.41, 95% CI = (1.31 − 2.10), perceived susceptibility to delivery-related complications [AOR = 1.52, 95% CI = (1.30 − 2.70), and perceived severity of the delivery complications [AOR = 1.66, 95% CI = (1.12 − 2.31) were positively associated with pregnant women’s intentions to deliver at a health facility. Intention was negatively associated with participants’ perceived barriers to accessing a health facility [AOR = 0.62, 95% CI = (0.36 − 0.85). Conclusions: A low proportion of pregnant women in the sampled community intended to deliver at a health facility. Pastoralist communities may have special needs in this regard, with household income, antenatal care attendance, perceived risk of complications, and perceived barriers to accessing a health facility largely explaining the variance in intention. Community-based interventions providing counseling and messaging on danger signs in the perinatal period and emphasizing benefits of delivering at a facility are recommended, alongside improving access.

A community-based cross sectional study was conducted in Zone 3 (Gabi Rasu zone) of Afar region from April 1 to April 30, 2016. Zone 3 of Afar region is located 365 km from the south of Samara, the administrative city of Afar national regional state. The zone is bordered in the south by Oromia region, in the southwest by Amhara region, and in the east by Somali region. The total population of the zone was estimated to be 257,068 in 2016, 123,393 of whom were women residing in seven districts [22]. In terms of access to health facilities, the zone has only 1 primary hospital, 13 health centers, and 74 health posts (all of which are potential sites for health facility delivery). Sample size was determined using single population proportion statistical formula with the following parameters: p = proportion of women who give birth at health facility in Afar region = 16% [9]; d = margin of error = 5%; confidence interval = 95%, and design effect = 1.5. Then, considering a design effect of 1.5 i.e., 1.5 ∗ 207 = 310 and 10% contingency, i.e., 310 + (10% ∗ 310), the minimum sample size required for the study was 341. Twelve kebeles (the smallest administrative unit) from three randomly selected districts (Amibara, Gewane, and Argoba) were selected by lottery method. The sample size was proportionally allocated to each kebele based on the projected number of pregnant women. In each selected kebele, a list of pregnant women was developed to construct the sampling frame. Women who were at least 3 months gestational age (ascertained by self-report of last menstrual period) and who had lived in the study area at least for six months were included in the study. Finally, systematic random sampling was employed to select pregnant women from the list. Data collectors approached each selected pregnant woman at their home for an interview. A semi-structured questionnaire was adapted from validated examples in the literature, translated to the local language, and pretested on 10% of the sample size in a similar setting. The first section of the questionnaire contained sociodemographic and previous history of birth. The second consisted of items designed to assess respondents’ response to the constructs of the health belief model, namely (1) perceived susceptibility to birth-related complications, (2) perceived severity of the complications, (3) perceived barriers to delivery at a health facility, (4) perceived benefits of delivery at health facility, and (5) self-efficacy to use a health facility for delivery. For each item, respondents were asked their level of agreement or disagreement to items using a five-point Likert scale ranging from strongly agree (5) to strongly disagree (1). Consequently, 26 items were used to measure the constructs of the health belief model. The items were subjected to exploratory factor analysis with principal component analysis method, with a fixed number of constructs (i.e., five factors). Accordingly, the analysis identified perceived susceptibility (5 items), perceived severity (4 items), perceived benefits (5 items), perceived barriers (5 items), and perceived self-efficacy (2 items) as those to be extracted as constructs. All the extracted constructs explained jointly 52.1% of the variance of intention while perceived susceptibility alone explained 19.3% of the variation in the intention to use health facility for delivery. Then, reliability testing of items in each construct was assessed before using the constructs for further analysis. The result of the test showed that Chronbanch’s α was above 0.70% for all constructs. For each construct, the items were summed up to produce a composite score, and the mean score was used for further analysis. Outcome variable: The outcome variable was intention to use a health facility for birth. It was measured by asking pregnant women about their plan for where they would deliver their baby for their current pregnancy. The women were asked to choose either home or a health facility. Data Collection: Trained diploma holder nurses who were fluent in local languages collected the data. The principal investigators trained data collectors and closely supervised the data collection process. Data management and analysis: The data were entered into EpiData version 3.1 and then exported to SPSS version 20.0 for analysis. Descriptive statistics were used to summarize the results. The association between each independent variable and outcome variable was first assessed using binary logistic regression analysis. Variables with a p value of less than 0.05 were entered into multivariate logistic regression models. Adjusted odds ratios were reported at 95% confidence interval and a level of significance less than 0.05 was used to declare an association. Ethical considerations: Ethical clearance was obtained from the ethical review committee of Samara University, Ethiopia. The purpose of the study was explained to all respondents, and written informed consent was obtained from each respondent after they were assured of its confidentiality.

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Based on the information provided, here are some potential innovations that could improve access to maternal health in pastoralist communities of Ethiopia:

1. Mobile health clinics: Implementing mobile health clinics that can travel to remote areas and provide maternal health services, including prenatal care and delivery assistance.

2. Telemedicine: Using telecommunication technology to connect pregnant women in remote areas with healthcare professionals who can provide guidance and support during pregnancy and childbirth.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and referrals in pastoralist communities.

4. Financial incentives: Introducing financial incentives, such as cash transfers or vouchers, to encourage pregnant women to seek care at health facilities for delivery.

5. Awareness campaigns: Conducting targeted awareness campaigns to educate pregnant women and their families about the benefits of delivering at a health facility and addressing any misconceptions or cultural barriers.

6. Improving infrastructure: Investing in the construction and improvement of health facilities in pastoralist communities, ensuring they are equipped to handle maternal health services.

7. Transportation support: Providing transportation support, such as ambulances or transportation vouchers, to pregnant women who need to travel to a health facility for delivery.

8. Community engagement: Engaging community leaders and traditional birth attendants to promote the importance of delivering at a health facility and to facilitate the referral process.

9. Maternal waiting homes: Establishing maternal waiting homes near health facilities, where pregnant women can stay closer to their due date to ensure timely access to care.

10. Strengthening referral systems: Improving the coordination and communication between health facilities and community health workers to ensure smooth referrals and timely access to care for pregnant women.

These innovations can help address the barriers and challenges faced by pregnant women in pastoralist communities, ultimately improving access to maternal health services and reducing maternal and child mortality rates.
AI Innovations Description
The recommendation to improve access to maternal health in pastoralist communities of Afar, Ethiopia, based on the study mentioned, is to implement community-based interventions that provide counseling and messaging on danger signs in the perinatal period and emphasize the benefits of delivering at a health facility. Additionally, improving access to health facilities is crucial.

These interventions should focus on addressing the factors that influence pregnant women’s intentions to deliver at a health facility. The study found that higher household average monthly income, antenatal clinic attendance, perceived susceptibility to delivery-related complications, and perceived severity of the delivery complications were positively associated with pregnant women’s intentions to deliver at a health facility. On the other hand, perceived barriers to accessing a health facility were negatively associated with intention.

By providing counseling and messaging on danger signs during pregnancy and childbirth, pregnant women can be better informed about the potential risks and benefits of delivering at a health facility. This can help address their perceived susceptibility and severity of complications, leading to an increased intention to use a health facility for delivery.

Improving access to health facilities is also crucial. This can be achieved by increasing the number of health centers and health posts in the pastoralist communities. By having more accessible and well-equipped facilities, pregnant women will have fewer barriers to accessing healthcare services.

Overall, the recommendation is to implement community-based interventions that provide counseling and messaging, alongside improving access to health facilities, to improve access to maternal health in pastoralist communities of Afar, Ethiopia.
AI Innovations Methodology
To simulate the impact of the main recommendations on improving access to maternal health in pastoralist communities of Afar, Ethiopia, the following methodology can be used:

1. Design a community-based intervention: Develop a comprehensive intervention plan that includes counseling and messaging on danger signs in the perinatal period and emphasizes the benefits of delivering at a health facility. This intervention should be tailored to the specific needs and cultural context of the pastoralist communities in Afar.

2. Implement the intervention: Roll out the community-based intervention in selected pastoralist communities in Afar. This can be done by training community health workers or other trusted individuals to deliver the counseling and messaging sessions to pregnant women and their families. The intervention should also include strategies to improve access to health facilities, such as increasing the number of health centers and health posts in the communities.

3. Collect baseline data: Before implementing the intervention, collect baseline data on the intentions of pregnant women to deliver at a health facility in the selected communities. This can be done through surveys or interviews using a similar methodology as described in the abstract.

4. Implement the intervention: Roll out the community-based intervention in the selected communities. Ensure that the counseling and messaging sessions are delivered consistently and that access to health facilities is improved as planned.

5. Collect post-intervention data: After implementing the intervention for a specified period of time, collect post-intervention data on the intentions of pregnant women to deliver at a health facility. Use the same methodology as the baseline data collection to ensure comparability.

6. Analyze the data: Compare the baseline and post-intervention data to assess the impact of the community-based intervention on improving access to maternal health. Use statistical analysis, such as logistic regression, to identify any significant changes in the intentions of pregnant women to deliver at a health facility.

7. Evaluate the results: Evaluate the results of the analysis to determine the effectiveness of the community-based intervention in improving access to maternal health in pastoralist communities of Afar, Ethiopia. Assess whether the intervention led to an increase in the intentions of pregnant women to deliver at a health facility and whether access to health facilities improved as planned.

8. Adjust and refine the intervention: Based on the evaluation results, make any necessary adjustments or refinements to the community-based intervention. This may include modifying the counseling and messaging sessions, improving access to health facilities further, or targeting specific barriers identified during the evaluation.

9. Scale up the intervention: If the community-based intervention proves to be effective in improving access to maternal health, consider scaling it up to other pastoralist communities in Afar or other regions in Ethiopia. Develop a plan for implementation and monitor the impact of the intervention in these new settings.

By following this methodology, it will be possible to simulate the impact of the main recommendations mentioned in the abstract on improving access to maternal health in pastoralist communities of Afar, Ethiopia. The data collected before and after the intervention will provide valuable insights into the effectiveness of the intervention and inform future efforts to improve maternal health in similar contexts.

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