What are the trends in seeking health care for fever in children under-five in Sierra Leone? evidence from four population-based studies before and after the free health care initiative

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Study Justification:
– The study aimed to assess the trends in healthcare-seeking behavior for children under five with fever in Sierra Leone before and after the implementation of the Free Health Care Initiative (FHCI).
– The FHCI was implemented in 2010 to reduce maternal, infant, and child mortality rates and improve general health indicators in Sierra Leone.
– Understanding the trends in healthcare-seeking behavior can provide insights into the effectiveness of the FHCI and identify areas for improvement.
Study Highlights:
– The study used data from four population-based surveys conducted in Sierra Leone in 2008, 2013, 2016, and 2019.
– The analysis focused on caregivers seeking care for children under five with fever in the two weeks prior to each survey.
– The study found that healthcare-seeking for children with fever increased significantly after the implementation of the FHCI.
– Care-seeking behavior varied based on factors such as the child’s age, caregiver’s age, household wealth, the sex of the household head, and region.
– The study highlights the importance of maintaining the FHCI and implementing strategies to address barriers beyond financial ones to reduce disparities in care-seeking.
Recommendations for Lay Reader and Policy Maker:
– Maintain and support the Free Health Care Initiative to continue improving healthcare-seeking behavior for children under five with fever.
– Develop and implement strategies to address barriers beyond financial ones, such as improving access to healthcare facilities and increasing awareness about the importance of seeking care for fever in children.
– Target interventions towards specific groups that have lower care-seeking rates, such as children older than 12 months, mothers older than 35 years, children living in the poorest households, and regions with lower care-seeking rates.
– Strengthen primary healthcare services, especially in rural areas, to ensure accessibility and availability of healthcare for children with fever.
– Conduct further research to understand the underlying reasons for disparities in care-seeking behavior and develop targeted interventions to address them.
Key Role Players:
– Ministry of Health and Sanitation in Sierra Leone
– Healthcare providers and facilities
– Community health workers
– Non-governmental organizations (NGOs) working in healthcare
– International organizations supporting healthcare initiatives in Sierra Leone
Cost Items for Planning Recommendations:
– Infrastructure development and improvement of healthcare facilities
– Training and capacity building for healthcare providers and community health workers
– Awareness campaigns and health education materials
– Supply of essential medicines and medical equipment
– Monitoring and evaluation of healthcare services
– Research and data collection for evidence-based decision making

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, as it is based on data from four population-based surveys conducted over a span of 11 years. The surveys used a representative sample of households in Sierra Leone, and the analysis was conducted using appropriate statistical methods. The study also provides specific percentages and confidence intervals to support the findings. However, to improve the evidence, the abstract could include more details about the sampling methodology, such as the sample size and the response rate. Additionally, it would be helpful to mention any limitations of the study, such as potential biases or confounding factors, to provide a more comprehensive assessment of the evidence.

Background In 2010, the government of Sierra Leone implemented the Free Health Care Initiative (FHCI) in the country with the objective of reducing the high maternal, infant, and child mortality rates and improving general health indicators. The objective of this study was to assess the trends in the prevalence of health care-seeking and to identify the determinants of healthcare service utilization by caregivers of children younger than five years. Methods The analysis of health-care-seeking behavior was done using data from four populationbased surveys in Sierra Leone before (2008) and after (2013, 2016, 2019) the FHCI was implemented. Care-seeking behavior was assessed with regard to caregivers seeking care for children under-five in the two weeks prior to each survey. We compared the percentages of healthcare-seeking behavior change and identify factors associated with healthcareseeking using a modified Poisson regression model with generalized estimating equations. Results In 2008, a total of 1208 children with fever were recorded, compared with 2823 children in 2013, 1633 in 2016, and 1464 in 2019. Care-seeking for children with fever was lowest in 2008 (51%; 95% CI (46.4-55.5)) than in 2013 (71.5%; 95% CI (68.4-74.5)), 2016 (70.3%; 95% CI (66.6-73.8)), and 2019 (74.6%; 95% CI (71.6-77.3)) (p < 0.001). Care-seeking in 2013, 2016 and 2019 was at least 1.4 time higher than in 2008 (p < 0.001) after adjusting for mother's age, wealth, religion, education level, household head and the child's age. Careseeking was lowest for children older than 12 months, mothers older than 35 years, children living in the poorest households, and in the northern region. A trend was observed for the sex of the household head. The level of care-seeking was lowest when the household head was a man. Conclusions The increase in healthcare-seeking for children under-five with fever followed the introduction of the FHCI in Sierra Leone. Care-seeking for fever varied by the child's age, caregiver's age, household wealth, the sex of the household head and region. Maintaining the FHCI with adequate strategies to address other barriers beyond financial ones is essential to reduce disparities between age groups, regions and, households.

This study used data from the Sierra Leone Demographic and Health Surveys (DHS) of 2008, 2013, and 2019 and the Malaria Indicator Survey (MIS) of 2016. These were nationally representative household surveys in which women aged 15 to 49 years were interviewed. The surveys used 3 questionnaires, a household questionnaire, a women’s (15–49 years old) questionnaire and a men’s (15–59 years old) questionnaire. Our study concerned children under the age of 5 years who had febrile episodes in the two last weeks preceding each survey in Sierra Leone. Sierra Leone is a country in West Africa with an area of 71,740 km2 and an estimated population in 2016 of 7,396,000 inhabitants [22]. The climate is tropical with vegetation ranging from savannah to forest. Sierra Leone is divided into 4 administrative regions: northern, eastern, southern, and western. The northern region was divided into North and North-west in 2019. These regions are subdivided into 14 districts, and into 16 from 2017. The health system is organized into 3 levels: The first is primary health care (PHC), with peripheral health units (PHUs): 233 community health centers (CHCs), 319 community health posts (CHPs), and 632 maternal and child health posts (MCHPs). The secondary level is made up of 21district hospitals [23]. The tertiary level includes regional and specialized hospitals. There are 6 hospitals in a teaching hospital complex established by an act of Parliament. There are several private clinics and hospitals spread across the 14 districts of the country. Wealth is not distributed equally within rural and urban areas. About 61% and 1.4% of the population are the richest respectively in the urban and in the rural areas, and about 3% and 28% of the population are the poorest respectively in the urban and in the rural areas [24]. The outcome variable was the proportion of children under-five years of age whose caregivers had sought care during a feverish illness in the 2 weeks preceding the survey. Independent variables included those describing sociodemographic data and those assessing the determinants of care-seeking for fever: respondent’s age (15−24, 25−34, and ≥35 years); level of education of the child’s mother (no formal education, primary, secondary, or higher level education); number of children ever born in the household (1−2, 3−4, and 5≥ children); the sex of the head of the child’s household; the age of the head of the household (15−24, 25–34, and ≥35 years); region (eastern, northern, southern, western, and northwestern in 2019); place of residence (urban or rural); religion (Christian, Muslim, traditional, or other); the sex of the child; the age of the child (<12, 12−35, and 36–59 months); and the place where health care is sought (public, private, traditional, or other). The wealth quintile (richest, richer, middle, poorer, and poorest) was used; its construction was based on survey data about the household’s ownership of consumer goods, dwelling characteristics, drinking water source, toilet facilities, and other characteristics that relate to a household’s socioeconomic status. The resulting combined wealth index has a mean of 0 and a standard deviation of 1. Once the index was computed, national-level wealth quintiles (from lowest to highest) were obtained by assigning household scores to each de jure household member, ranking each person in the population by their score, and then dividing the ranking into 5 equal categories, each comprising 20% of the population [24]. The four Sierra Leone population-based surveys used a 2-stage cluster sampling method. Enumeration areas (EAs) were constructed with complete coverage of the country. Each EA included several households. At the first stage, EAs were selected with stratified probability proportional to sample size. The place of residence (urban or rural) was used to stratify EAs. At the secondary stage, households were selected from the EAs using systematic random sampling. The frames were developed based on the 2004 census for the 2008 and 2013 surveys and the 2015 census for the 2016 and 2019 surveys [24–26]. Statistical analyses were performed using Stata version 15.0. The northern region was divided into North and North-west in 2019, for the comparison purpose with the 2008, 2013, and 2016 data, these 2 regions were combined during data analysis. We first described the characteristics of parents of children and those of children with fever during the two weeks preceding the survey. Chi-square test was used to assess differences between participants’ characteristics over the surveys. The descriptive analyses were weighted for probability sampling and considering stratification and clustering, as is standard in all DHS program surveys [24,25,27]. We compared the percentages of care-seeking between the four surveys adjusting for the participants’ characteristics using a multivariable modified Poisson regression model with generalized estimating equations. We also performed a modified Poisson regression model using a generalized estimating equations to identify the determinants of care-seeking under the FHCI (2013–2019). A two-sided P-value of 0.05 or less was considered to indicate statistical significance. The Sierra Leone National Ethics Committee and the International Review Board of International Coach Federation (ICF) approved the use of the surveys, and the participants’ written consent was obtained before data collection. We were authorized by the Demographic and Health Survey program to access data at https://dhsprogram.com/data.

Based on the provided information, here are some potential recommendations for innovations to improve access to maternal health in Sierra Leone:

1. Mobile Health (mHealth) Solutions: Develop and implement mobile applications or text messaging services to provide pregnant women and new mothers with important health information, appointment reminders, and access to healthcare providers.

2. Telemedicine: Establish telemedicine services to enable remote consultations between healthcare providers and pregnant women or new mothers who are unable to travel to healthcare facilities. This can help improve access to healthcare services, especially in rural or remote areas.

3. Community Health Workers: Train and deploy community health workers to provide maternal health education, prenatal care, and postnatal support to women in their communities. These workers can also help identify high-risk pregnancies and refer women to appropriate healthcare facilities.

4. Maternal Health Vouchers: Implement a voucher system that provides pregnant women with subsidized or free access to essential maternal health services, including antenatal care, delivery, and postnatal care. This can help reduce financial barriers to accessing healthcare.

5. Maternity Waiting Homes: Establish maternity waiting homes near healthcare facilities to accommodate pregnant women who live far away and need to travel for delivery. These homes can provide a safe and comfortable place for women to stay before and after giving birth.

6. Transportation Support: Develop transportation initiatives, such as community-based transportation networks or partnerships with local transport providers, to ensure that pregnant women have access to reliable and affordable transportation to healthcare facilities.

7. Capacity Building: Invest in training and capacity building programs for healthcare providers, particularly in rural areas, to improve the quality of maternal healthcare services and ensure that providers have the necessary skills and knowledge to address maternal health needs.

8. Public Awareness Campaigns: Launch public awareness campaigns to educate communities about the importance of maternal health and encourage women to seek timely and appropriate care during pregnancy, childbirth, and the postnatal period.

9. Strengthening Health Infrastructure: Invest in improving and expanding healthcare infrastructure, including the construction and renovation of healthcare facilities, to ensure that there are enough facilities to meet the demand for maternal health services.

10. Data Collection and Monitoring: Establish robust data collection and monitoring systems to track maternal health indicators and identify areas for improvement. This can help inform evidence-based decision-making and ensure accountability in the delivery of maternal healthcare services.

These recommendations aim to address various barriers to accessing maternal health services, including financial constraints, geographical distance, lack of awareness, and limited healthcare infrastructure. Implementing these innovations can help improve maternal health outcomes and reduce disparities in access to care in Sierra Leone.
AI Innovations Description
The study mentioned in the description focuses on the trends in seeking healthcare for fever in children under five in Sierra Leone before and after the implementation of the Free Health Care Initiative (FHCI). The objective of the study was to assess the prevalence of healthcare-seeking and identify the factors influencing healthcare service utilization by caregivers of children under five.

The study used data from four population-based surveys conducted in Sierra Leone in 2008, 2013, 2016, and 2019. The surveys included interviews with women aged 15 to 49 years and used questionnaires to collect information on healthcare-seeking behavior and sociodemographic factors.

The findings of the study showed an increase in healthcare-seeking for children with fever after the implementation of the FHCI. In 2008, the percentage of caregivers seeking care for children with fever was 51%, compared to 71.5% in 2013, 70.3% in 2016, and 74.6% in 2019. The increase in healthcare-seeking was statistically significant.

The study also identified several factors associated with healthcare-seeking behavior. Care-seeking was lower for children older than 12 months, mothers older than 35 years, children living in the poorest households, and in the northern region of Sierra Leone. The sex of the household head also had an impact, with care-seeking being lowest when the household head was a man.

Based on these findings, a recommendation to improve access to maternal health in Sierra Leone could be to strengthen and maintain the Free Health Care Initiative with adequate strategies to address barriers beyond financial ones. This could include targeted interventions to improve healthcare-seeking behavior among specific groups, such as older mothers, children in the poorest households, and in the northern region. Additionally, efforts could be made to address gender disparities in healthcare-seeking by involving and educating male household heads about the importance of seeking healthcare for maternal and child health.

Overall, the study highlights the importance of continuous monitoring and evaluation of healthcare programs to identify trends and factors influencing healthcare-seeking behavior, and to inform evidence-based interventions for improving access to maternal health.
AI Innovations Methodology
Based on the provided information, the study aims to assess the trends in seeking healthcare for fever in children under-five in Sierra Leone before and after the implementation of the Free Health Care Initiative (FHCI). The study used data from four population-based surveys conducted in 2008, 2013, 2016, and 2019.

To improve access to maternal health in Sierra Leone, the following innovations and recommendations can be considered:

1. Mobile Health (mHealth) Solutions: Implementing mobile health technologies, such as SMS reminders for antenatal care appointments, vaccination schedules, and health education messages, can improve access to maternal health information and services.

2. Community Health Workers (CHWs): Training and deploying CHWs in rural and underserved areas can help bridge the gap between communities and healthcare facilities. CHWs can provide basic maternal health services, education, and referrals, improving access for women who may face geographical or transportation barriers.

3. Telemedicine: Introducing telemedicine services can enable remote consultations between healthcare providers and pregnant women, reducing the need for travel and increasing access to specialized care.

4. Maternal Waiting Homes: Establishing maternal waiting homes near healthcare facilities can provide a safe and comfortable environment for pregnant women to stay closer to the facility as they approach their due dates. This can ensure timely access to skilled birth attendants and emergency obstetric care.

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 key indicators to measure access to maternal health, such as the percentage of pregnant women receiving antenatal care, the percentage of births attended by skilled birth attendants, and the percentage of women receiving postnatal care.

2. Baseline data collection: Gather baseline data on the selected indicators before implementing the innovations. This can be done through surveys, interviews, or existing health information systems.

3. Introduce the innovations: Implement the recommended innovations, such as mHealth solutions, CHW programs, telemedicine services, and maternal waiting homes. Ensure proper training and infrastructure are in place to support the implementation.

4. Data collection after implementation: Collect data on the selected indicators after the innovations have been implemented. This can be done through follow-up surveys, interviews, or monitoring systems.

5. Data analysis: Analyze the data collected before and after the implementation of the innovations. Compare the indicators to assess the impact of the innovations on improving access to maternal health.

6. Interpretation and recommendations: Interpret the findings and identify the strengths and limitations of the innovations. Based on the results, provide recommendations for scaling up successful interventions and addressing any remaining barriers to access.

By following this methodology, policymakers and healthcare providers can gain insights into the effectiveness of the recommended innovations and make informed decisions to improve access to maternal health in Sierra Leone.

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