Exploring communities’ perceptions of the etiology of illnesses in newborns and young infants 0–59 days old in 4 counties in Kenya

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Study Justification:
Understanding communities’ beliefs about the causes of illnesses in sick young infants (SYIs) is crucial for improving newborn health outcomes. This study aimed to explore communities’ perceptions of the etiology of illnesses in SYIs aged 0-59 days in four counties in Kenya. By gaining insights into these perceptions, child health programs can better address communities’ beliefs and practices regarding disease and health, leading to improved newborn health outcomes.
Highlights:
– The study used an exploratory qualitative design to collect data through in-depth interviews and focus group discussions with female caregivers and fathers.
– Participants attributed illnesses in SYIs to both natural (biomedical) and supernatural causes, with commonalities in perceived natural causes across sites, age groups, and gender.
– Natural causes included unfavorable environmental and hygiene conditions, poor maternal and child nutrition, and healthcare practices.
– Supernatural causes, such as ‘evil eyes’ and the belief that owls cause illnesses, were also identified, with some variations across the four counties.
– The study findings highlight the need for child health programs to consider communities’ beliefs and practices to improve newborn health outcomes.
Recommendations:
– Child health programs should incorporate community beliefs and practices regarding disease and health into their interventions and strategies.
– Health education initiatives should focus on addressing misconceptions and promoting accurate information about the causes of illnesses in SYIs.
– Collaborative efforts between healthcare providers, community leaders, and caregivers should be encouraged to ensure effective communication and understanding of newborn health issues.
Key Role Players:
– County Health Management Teams (CHMTs): Responsible for coordinating and implementing health programs at the county level.
– Community Health Volunteers (CHVs): Local leaders who can assist in identifying potential participants and facilitating data collection.
– Village Elders: Knowledgeable about the community members and can provide valuable insights and support in participant recruitment.
– Research Assistants: Trained individuals with a social science background who can conduct interviews and focus group discussions.
– Health Educators: Professionals who can develop and deliver health education initiatives targeting caregivers and community members.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers, CHVs, and research assistants.
– Communication and transportation costs for research assistants and participants.
– Materials for health education initiatives, such as printed materials, audiovisual resources, and community engagement activities.
– Data collection and analysis expenses, including transcription services and qualitative data analysis software.
– Administrative and logistical support, including venue rentals, refreshments, and reimbursements for participants.
Please note that the above cost items are general suggestions and may vary depending on the specific context and resources available.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is based on an exploratory qualitative study design, which provides valuable insights into communities’ perceptions of the etiology of illnesses in newborns and young infants. The study involved a diverse range of participants and utilized in-depth interviews and focus group discussions. The findings highlight the overlap between natural and supernatural causes of illness and emphasize the importance of considering communities’ beliefs and practices in child health programs. To improve the strength of the evidence, it would be beneficial to include information on the sample size and demographics of the participants, as well as the specific methods used for data analysis. Additionally, providing a brief summary of the key findings would enhance the abstract’s clarity and impact.

Background Understanding communities’ beliefs about the causes of illnesses in sick young infants (SYIs) is key to strengthening interventions and improving newborn health outcomes. This study explored communities’ perception of the etiology of illnesses in SYIs 0–59 days old in four counties in Kenya. Methods We used an exploratory qualitative study design. Data were collected between August and September 2018 and involved 23 in-depth interviews with female caregivers aged 15-24years; 25 focus group discussions with female caregivers aged 15–18 years, 19–24 years and 25–45 years; and 7 focus group discussions with fathers aged 18–34 years and 35 or more years. Participants were purposely sampled, only those with SYIs 0–59 days old were eligible to participate. Data were analyzed using inductive thematic analysis framework approach. Results Female caregivers and fathers attributed illnesses in SYIs 0–59 days old to natural (biomedical) and supernatural causes which sometimes co-existed. There were commonalities in perceived natural causes of illness in SYIs across sites, age groups and gender. Perceived natural causes of illness in SYIs include unfavorable environmental and hygiene conditions, poor maternal and child nutrition, and healthcare practices. Perceived supernatural causes of illness in SYIs such as ‘evil eyes’ were common across the four counties while others were geographically unique such as the belief that owls cause illnesses. Conclusion Communities’ understanding of the etiology of illnesses in SYIs in the study settings overlapped between natural and supernatural causes. There is need for child health programmes to take into consideration communities’ beliefs and practices regarding disease and health to improve newborn health outcomes.

The qualitative data used for this paper were drawn from a formative assessment of a larger study known as the Ponya Mtoto project. More details about the project can be found at: https://www.harpnet.org/project/ponya-mtoto/. The Ponya Mtoto project aimed at assessing the feasibility, acceptability and sustainability of implementing the World Health Organization (WHO) Guideline for the Management of Possible Serious Bacterial Infection (PSBI) in SYIs 0–59 days old where referral is not feasible in Kenya [18]. The larger, original study used a mixed-method cross-sectional study design involving a health system capacity assessment and health facility assessments in combination with a qualitative exploration based on in-depth interviews (IDIs) and focus group discussions (FGDs). This paper focuses on and reports findings from an aspect of a qualitative study that explored community members’ understanding of the causes of illnesses in SYIs. The study was conducted in four counties, namely, Turkana, Bungoma, Mombasa, and Kilifi. Table 1 highlights key socio-economic indicators for these counties. The four counties were selected due to their distinct geographical, socio-economic and cultural diversity, and high NMR burden compared to the national average of 22 deaths per 1000 live births. Turkana is an arid and semi-arid region with a predominantly nomadic population dispersed across difficult terrains with limited access to healthcare facilities. Bungoma is largely a rural agrarian economy and predominantly occupied by the Bukusu tribe. Mombasa has a large coastal urban sub-population living in informal settlements faced with persistent health and economic inequalities. Finally, Kilifi represents a coastal region with both rural and urban sub-populations. In each county, the study was conducted in two sub-counties selected in consultation with respective County Health Management Teams (CHMTs). Within each sub-county, 12 facilities stratified by levels (hospitals, health centers and dispensaries) were selected as part of the larger project sites. Participants were drawn from villages surrounding these facilities. Source: Kenya Demographic Health Survey 2014/15 [2] and Kenya Population and Housing Census, 2019 [19] NA = not available Potential participants were female caregivers, defined here as, a mother, a family member, or a paid helper who regularly looks after a child, and fathers with a SYI (0–59 days) including those who lost a newborn within two months prior to the study date were deemed eligible and recruited to participate. We used purposive sampling and adopted a maximum variation approach based on participant’s age and region. Participants were selected to include 1) a range of caregiver age groups (15–18 years, 19–24 years and 25–45 years) to capture the experiences and views of adolescent, young and older caregivers/mothers regarding newborn and young infant care; and 2) fathers with SYIs aged 18–34 years and 35 or more years to capture the views of young and older men. Respondent selection ensured that each region and age group were represented. Eligible participants were identified in the community with the help of local leaders, mainly community health volunteers (CHVs) and village elders. We preferred to use local leaders as they were knowledgeable about the members of their community and in a good position to locate potential participants. Data collection was conducted between August and September 2018 and involved IDIs and FGDs (see Table 2). The purpose of the IDIs (total 23 collected) was to understand caregivers’ personal experiences of newborn care, and beliefs as well as care-seeking practices for SYIs 0–59 days old. The interviews explored caregiver’s understanding of causes of illnesses, recognition of danger signs, decision-making and care-seeking practices for SYIs as well as challenges and barriers to accessing SYIs health services including referral. The FGDs (total 32) explored community beliefs on causes of illness and care-seeking practices for SYIs. We had planned to conduct at least two FGDs with fathers (one with a younger group and another with older group) in each site, however, we managed only seven FGDs due to challenges recruiting participants in Bungoma. Research assistants with a social science background, experienced in qualitative research methods and trained by the study team on protocols and research ethics, conducted the IDIs and FGDs. Data were collected using a guide that was developed in English and translated into Kiswahili (widely spoken in the study areas) and Turkana language (for Turkana sites), and pre-tested in each site in a community outside the study’s sampling frame. The IDIs were conducted in participants’ homes while FGDs comprising of 8–10 participants were held at centralized places convenient for participants away from disturbances (mainly in school and church halls). All FGD participants received reimbursement for transport to and from the discussion venue. Each data collection session lasted 60–90 minutes and was audio-recorded with the consent of the participants. Audio-recorded interviews were transcribed verbatim, translated to English where necessary. We did not however back-translate transcripts into Kiswahili/Turkana to determine if any meaning was lost in the process. The transcripts were transferred to and analyzed using a qualitative software NVivo version 12 (QSR International Pty Ltd). Data were analyzed using a thematic framework approach—a method for identifying, analysing, and reporting patterns (themes) within data [20]. We specifically used an inductive approach to developing a codebook to guide our thematic analysis [21]. Ten members of the research team, including three of the authors (GO, CN and TA), read at least 2 transcripts from each site to familiarize with the content and obtain a broad overview of the participant’s responses. The transcripts were then annotated by highlighting ideas that were interesting or significant. A thematic framework or codebook of themes and sub-themes was then developed based on these highlights and topics on the guides. All transcripts were reread and coded for themes and sub-themes by four coders trained in qualitative data analysis. Analysis charts were then prepared for each thematic area and category of participants. These charts were used to identify common themes across participants and sites. Analysis for this paper is specifically focused on female caregivers’ and fathers’ understanding of the causes of illnesses in SYIs 0–59 days old. We followed the COREQ criteria in conducting the analysis and interpretation of the results [22]. This study received ethical approval from the African Medical and Research Foundation (AMREF) Ethics and Scientific Review Committee (as ESRC P430/2018) and the Population Council’s Institutional Review Board (as Protocol 838). Written informed consent was obtained from each participant before conducting an interview. Participants aged less than 18 years were considered emancipated minors, defined as individuals who have assumed adult responsibilities, such as household headship, marriage, or procreation [23].

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

1. Community-based education and awareness programs: Develop and implement programs that educate communities about the causes of illnesses in newborns and young infants. These programs can help dispel myths and misconceptions surrounding maternal and child health, and promote evidence-based practices.

2. Mobile health (mHealth) interventions: Utilize mobile technology to deliver health information and reminders to pregnant women and new mothers. This can include text messages or mobile applications that provide guidance on prenatal care, postnatal care, and newborn care.

3. Training and capacity building for healthcare providers: Provide training and support for healthcare providers to improve their knowledge and skills in maternal and child health. This can include training on identifying danger signs in newborns, providing appropriate care, and referring cases when necessary.

4. Strengthening healthcare infrastructure: Improve access to healthcare facilities by investing in the construction and renovation of health centers and hospitals. This can help ensure that pregnant women and new mothers have access to quality maternal and child health services.

5. Community engagement and involvement: Engage community leaders, traditional birth attendants, and other influential community members in promoting maternal and child health. This can help increase awareness, acceptance, and utilization of maternal health services within the community.

6. Integration of traditional and biomedical practices: Foster collaboration between traditional healers and biomedical practitioners to promote a holistic approach to maternal and child health. This can involve training traditional healers on recognizing danger signs and referring cases to healthcare facilities.

7. Financial incentives and support: Provide financial incentives or support to pregnant women and new mothers to encourage them to seek and utilize maternal health services. This can include cash transfers, vouchers, or subsidies for transportation or healthcare expenses.

8. Telemedicine and teleconsultation services: Implement telemedicine services to provide remote consultations and support for pregnant women and new mothers, especially in areas with limited access to healthcare facilities. This can help bridge the gap between healthcare providers and patients, and ensure timely access to care.

9. Task-shifting and task-sharing: Train and empower community health workers to provide basic maternal and child health services, such as antenatal care, postnatal care, and newborn care. This can help alleviate the burden on healthcare facilities and improve access to care in underserved areas.

10. Quality improvement initiatives: Implement quality improvement initiatives in healthcare facilities to ensure that maternal and child health services are delivered in a safe and effective manner. This can involve regular monitoring and evaluation, feedback mechanisms, and continuous training and support for healthcare providers.

These innovations can help address the barriers and challenges faced by communities in accessing maternal health services, and ultimately improve maternal and newborn health outcomes.
AI Innovations Description
The recommendation that can be developed into an innovation to improve access to maternal health based on the described study is to incorporate communities’ beliefs and practices regarding disease and health into child health programs. This means taking into consideration the communities’ understanding of the causes of illnesses in sick young infants (SYIs) and their care-seeking practices. By understanding and addressing these beliefs and practices, interventions can be tailored to better meet the needs of the community and improve newborn health outcomes.

Specifically, the innovation could involve:

1. Community engagement and education: Engaging with community members, including female caregivers and fathers, to understand their beliefs and practices related to the causes of illnesses in SYIs. This can be done through community meetings, workshops, and educational campaigns to raise awareness about maternal and child health.

2. Culturally sensitive interventions: Designing interventions that are culturally sensitive and respectful of the communities’ beliefs and practices. This may involve incorporating traditional healers or community leaders into the healthcare system to bridge the gap between biomedical and supernatural causes of illnesses.

3. Health system strengthening: Strengthening the healthcare system in the study settings to improve access to maternal health services. This may include improving healthcare infrastructure, training healthcare providers on culturally sensitive care, and ensuring the availability of essential maternal health supplies and medications.

4. Referral systems: Developing and implementing effective referral systems for SYIs in areas where access to healthcare facilities is limited. This may involve establishing partnerships with local transportation providers or community health workers to ensure timely and safe referrals.

5. Continuous monitoring and evaluation: Regularly monitoring and evaluating the effectiveness of the interventions to ensure they are meeting the needs of the community and improving newborn health outcomes. This can help identify areas for improvement and inform future interventions.

By incorporating these recommendations into maternal health programs, access to maternal health can be improved by addressing the communities’ beliefs and practices regarding the causes of illnesses in SYIs. This can lead to better health outcomes for newborns and young infants.
AI Innovations Methodology
Based on the information provided, one potential innovation to improve access to maternal health in Kenya could be the development of community-based education and awareness programs. These programs could focus on addressing the communities’ beliefs and perceptions about the causes of illnesses in newborns and young infants (SYIs). By providing accurate information and dispelling misconceptions, these programs can help improve understanding of the actual causes of illnesses and promote appropriate care-seeking behaviors.

To simulate the impact of this recommendation on improving access to maternal health, a methodology could be developed as follows:

1. Baseline Data Collection: Conduct a survey or interviews to gather information on the communities’ current beliefs and perceptions about the causes of illnesses in SYIs, as well as their care-seeking behaviors.

2. Design and Implementation of Community-Based Education Programs: Develop educational materials and training modules that address the identified misconceptions and provide accurate information about the causes of illnesses in SYIs. Collaborate with local leaders, community health volunteers, and healthcare providers to implement these programs in the selected counties.

3. Program Evaluation: Monitor and evaluate the impact of the community-based education programs on improving access to maternal health. This can be done through surveys, interviews, or focus group discussions with participants to assess changes in knowledge, attitudes, and behaviors related to maternal health.

4. Data Analysis: Analyze the collected data to identify any changes in the communities’ beliefs and perceptions, as well as their care-seeking behaviors. Compare the post-intervention data with the baseline data to determine the impact of the education programs.

5. Recommendations and Scaling Up: Based on the findings, make recommendations for further improvements or modifications to the community-based education programs. If the programs are found to be effective, consider scaling them up to reach more communities and counties in Kenya.

By following this methodology, it would be possible to simulate the impact of community-based education programs on improving access to maternal health by addressing communities’ beliefs and perceptions about the causes of illnesses in SYIs.

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