Challenges to generating political prioritization for adolescent sexual and reproductive health in Kenya: A qualitative study.

BACKGROUND: Despite the high burden of adverse adolescent sexual and reproductive health (SRH) outcomes, it has remained a low political priority in Kenya. We examined factors that have shaped the lack of current political prioritization of adolescent SRH service provision. METHODS: We used the Shiffman and Smith policy framework consisting of four categories-actor power, ideas, political contexts, and issue characteristics-to analyse factors that have shaped political prioritization of adolescent SRH. We undertook semi-structured interviews with 14 members of adolescent SRH networks between February and April 2019 at the national level and conducted thematic analysis of the interviews. FINDINGS: Several factors hinder the attainment of political priority for adolescent SRH in Kenya. On actor power, the adolescent SRH community was diverse and united in adoption of international norms and policies, but lacked policy entrepreneurs to provide strong leadership, and policy windows were often missed. Regarding ideas, community members lacked consensus on a cohesive public positioning of the problem. On issue characteristics, the perception of adolescents as lacking political power made politicians reluctant to act on the existing data on the severity of adolescent SRH. There was also a lack of consensus on the nature of interventions to be implemented. Pertaining to political contexts, sectoral funding by donors and government treasury brought about tension within the different government ministries resulting in siloed approaches, lack of coordination and overall inefficiency. However, the SRH community has several strengths that augur well for future political support. These include the diverse multi-sectoral background of its members, commitment to improving adolescent SRH, and the potential to link with other health priorities such as maternal health and HIV/AIDS. CONCLUSION: In order to increase political attention to adolescent SRH in Kenya, there is an urgent need for policy actors to: 1) create a more cohesive community of advocates across sectors, 2) develop a clearer public positioning of adolescent SRH, 3) agree on a set of precise approaches that will resonate with the political system, and 4) identify and nurture policy entrepreneurs to facilitate the coupling of adolescent SRH with potential solutions when windows of opportunity arise.

Patient-level cost of home- and facility-based child pneumonia treatment in Suba Sub County, Kenya.

BACKGROUND: Globally, pneumonia accounted for 16% of deaths among children under 5 years of age and was one of the major causes of death overall in 2018. Kenya is ranked among the top 15 countries with regard to pneumonia prevalence and contributed approximately 74% of the world's annual pneumonia cases in 2018. Unfortunately, less than 50% of children with pneumonia receive appropriate antibiotics for treatment. Homa-Bay County implemented pneumonia community case management utilizing community health workers, as recommended by the World Health Organization (WHO), in 2014. However, since implementation of the program, the relative patient-level cost of home-based and facility-based treatment of pneumonia, as well as the main drivers of these costs in Suba Subcounty, remain uncertain. Therefore, the main objective of this study was to compare the patient-level costs of home based treatment of pneumonia by a community health worker with those of health facility-based treatment. METHODS AND FINDINGS: Using a cross-sectional study design, a structured questionnaire was used to collect quantitative data from 208 caregivers on the direct costs (consultation, medicine, transportation) and indirect costs (opportunity cost) of pneumonia treatment. The average household cost for the community managed patients was KSH 122.65 ($1.29) compared with KSh 447.46 ($4.71), a 4-fold difference, for those treated at the health facility. The largest cost drivers for home treatment and health facility treatment were opportunity costs (KSH 88.25 ($ 0.93)) and medicine costs (KSH 126.16 ($ 1.33)), respectively. CONCLUSION: This study demonstrates that the costs incurred for home-based pneumonia management are considerably lower compared to those incurred for facility-based management. Opportunity costs (caregiver time and forgone wages) and the cost of medication were the key cost-drivers in the management of pneumonia at the health facility and at home, respectively. These findings emphasize the need to strengthen and scale community case management to overcome barriers and delays in accessing the correct treatment for pneumonia for sick children under 5 years of age.

Effects of an expanded Uber-like transport system on access to and use of maternal and newborn health services: findings of a prospective cohort study in Homa Bay, Kenya.

INTRODUCTION: Kenya's progress towards reducing maternal and neonatal deaths is at present 'insufficient'. These deaths could be prevented if the three delays, that is, in deciding to seek healthcare (delay 1), in accessing formal healthcare (delay 2) and in receiving quality healthcare (delay 3), are comprehensively addressed. We designed a mobile phone enhanced 24 hours Uber-like transport navigation system coupled with personalised and interactive gestation-based text messages to address these delays. Our main objective was to evaluate the impact of this intervention on women's adherence to recommended antenatal (ANC) and postnatal care (PNC) regimes and facility birth. METHODS: We conducted a prospective cohort study. Women were eligible to participate in the study if they were 15 years or older and less than 28 weeks gestation. We defined cases as those who received the standard of care plus the intervention and the control group as those who received the standard of care only. For analysis, we used logistic regression analysis and report crude and adjusted OR (aOR) and 95 % CI. RESULTS: Cases (women who received the intervention) had five times higher odds of having four or more ANC visits (aOR=4.7, 95% CI 3.20 to 7.09), three times higher odds of taking between 30 and 60 min to reach a health facility for delivery (aOR=3.14, 95% CI 2.37 to 4.15) and four times higher odds of undergoing at least four PNC visits (aOR=4.10, 95% CI 3.11 to 5.36). CONCLUSION: An enhanced community-based Uber-like transport navigation system coupled with personalised and interactive gestation-based text messages significantly increased the utilisation of ANC and PNC services as well as shortened the time taken to reach an appropriate facility for delivery compared with standard care.