Devolution of healthcare system in Kenya: progress and challenges

Enhancing Intersectoral Collaboration in Maternal Healthcare for the Realization of Universal Health Coverage in Kenya: The Perspectives of Health Facility Administrators in Kilifi County, Kenya

Intersectoral collaboration is an instrument that enables better productivity by filling in for possible gaps in knowledge, skills, and competencies in a given department by leveraging them from other departments. In Kenya, there is a paucity of information on intersectoral collaboration in healthcare. This article explores the possibilities of intersectoral collaboration, specifically in maternal healthcare, and what can be done to realize such collaborations to drive universal health coverage (UHC) in Kenya. Free maternity services (FMSs) are among the primary healthcare services that push Kenya towards UHC. In light of the centrality of UHC in driving current health policy, there are still several challenges which must be faced before this goal can be achieved. Moreover, competing priorities in health systems necessitate difficult choices regarding which health actions and investments to fund; these are complex, value-based, and highly political decisions. Therefore, the primary objective of this article is to explore health facility administrators' views on whether intersectoral collaboration could help with the realization of UHC in Kenya. The study area was Kilifi County, Kenya. The article is based on follow-up qualitative research conducted between March and July 2016 and from January to July 2017, and follow-up interviews conducted during COVID-19 in 2020 and 2021. The data are analyzed through a thematic analysis approach. The findings indicate that through Linda Mama, the expanded free maternity services program is one of the possible pathways to UHC. However, participants noted fair representation of stakeholders, distributed leadership, and local participation, considering bargaining power as a key issue that could enhance the realization of UHC in intersectoral collaboration through Linda Mama. These techniques require a bottom-up strategy to establish accountability, a sense of ownership, and trust, which are essential for UHC.

An exploration of sub-national variability in institutional maternal mortality ratios in Kenya: a meta-analysis of the 2021 health facility data

Background

In many countries in sub-Saharan Africa, the burden of preventable maternal deaths is still unacceptably high. Most Maternal Mortality Ratio (MMR) estimates are national, rarely sub-national. This study explores Kenya's 2021 national health facility dataset on maternal deaths and live births for sub-national variability to describe the pattern and trend in variation in institutional maternal mortality ratios (iMMRs).

Methods

Country-wide health facility data on live births and maternal deaths for 2021 were requested from the District Health Information System (DHIS-2). A descriptive comparison of sub-national (Regional and County) iMMRs to national iMMR was carried out. Against a national average iMMR for Kenya of about 100 per 100,000 live births, those regions and counties with an iMMR <75 per 100,000 live births were defined as positive outliers, and those with an iMMR >125 were defined as negative outliers.

Results

In 2021, 1,162 maternal deaths and 1,174,774 live births occurred within Kenya's health facilities. The annual national average iMMR was 99 per 100,000 live births [95% confidence interval (CI): 93.3, 104.8]. There was sub-national variability in iMMR at both regional and county levels. Central, Western and Rift Valley regions were positive outliers; North-Eastern Coast and Nairobi regions were negative outliers, while Nyanza and Eastern regions had an iMMR consistent with the national average. Seventeen counties were positive outliers, namely Baringo, Siaya, Nyamira, Elgeyo-Marakwet, West Pokot, Nandi, Kiambu, Laikipia, Nyeri, Samburu, Marsabit, Vihiga, Bungoma, Nyandarua, Kajiado, Murang'a and Trans-Nzoia. Ten counties were negative outliers: Tana River, Mandera, Machakos, Kilifi, Taita-Taveta, Kisumu, Nairobi, Garissa, and Mombasa and Isiolo. The iMMR in the remaining twenty counties was consistent with the national average. The effect sizes of the observed health facility variation were zero and there was no evidence of month-to-month variation.

Conclusion

There is evidence of sub-national variability in Kenya's iMMRs. Understanding these reasons for the variability is crucial for developing strategies for improving maternal health outcomes. If positively deviant behaviours and practices are identified, they could form the basis for adopting asset-based approaches such as the positive deviance approach to improve maternal healthcare delivery processes and outcomes and reduce preventable maternal deaths.

Understanding Kenyan policymakers' perspectives about the introduction of new maternal vaccines

New vaccine policy adoption is a complex process, especially in low-and-middle-income countries, requiring country policymakers to navigate challenges such as competing priorities, human and financial resource constraints, and limited logistical capacity. Since the beginning of the Expanded Programme on Immunization, most new vaccine introductions under this structure have not been aimed at adult populations. The majority of adult vaccines offered under the Expanded Programme on Immunization are not typically tested among and tailored for pregnant persons, except those that are specifically recommended for pregnancy. Given that new maternal vaccines, including respiratory syncytial virus and group B streptococcus vaccines, are on the horizon, it is important to understand what barriers may arise during the policy development and vaccine introduction process. In this study, we sought to understand information needs among maternal immunization policymakers and decision-makers in Kenya for new vaccine maternal policy adoption through in-depth interviews with 20 participants in Nakuru and Mombasa, counties in Kenya. Results were mapped to an adapted version of an established framework focused on new vaccine introduction in low-and-middle-income countries. Participants reported that the policy process for new maternal vaccine introduction requires substantial evidence as well as coordination among diverse stakeholders. Importantly, our findings suggest that the process for new maternal vaccines does not end with the adoption of a new policy, as intended recipients and various actors can determine the success of a vaccine programme. Previous shortcomings, in Kenya, and globally during human papillomavirus vaccine introduction, show the need to allocate adequate resources in education of communities given the sensitive target group. With maternal vaccines targeting a sensitive group-pregnant persons-in the pipeline, it is an opportune time to understand how to ensure successful vaccine introduction with optimal acceptance and uptake, while also addressing vaccine hesitancy to increase population benefit.

Do targeted intergovernmental fiscal transfers improve health outcomes? Evidence from Kenyan decentralization using the difference-in-differences technique

BACKGROUND

As envisioned by the 2010 Constitution, Kenya implemented a devolved system of government in March 2013, setting up 47 counties and a corresponding number of local governments. These counties differed in their levels of development. While counties such as Nairobi and Kiambu led in social and economic indicators, others such as Turkana, Mandera and Wajir were at the bottom of the list. Keeping the between-country disparities and the need to remedy those disparities in mind, the national government used formula-based criteria to determine counties' eligibility for the receipt of financial resources. On the basis of these criteria, counties were classified into marginalized and nonmarginalized counties. The marginalized counties were the 14 (of the 47) most socially and economically disadvantaged counties. These counties receive additional financial resources, which we call targeted intergovernmental fiscal transfers (i.e. fiscal transfers from the national government to county governments).

METHODS

We used the difference-in-differences (DID) technique and fixed effects models to estimate the effects of these targeted intergovernmental fiscal transfers on human immunodeficiency virus (HIV) incidence and diarrhoea incidence.

RESULTS

The results revealed that the counties receiving those transfers experienced a statistically significant decline in the incidence of diarrhoea but had no impact on the incidence of HIV. Our study fills a major gap in causal evidence linking intergovernmental fiscal transfers to health outcomes, especially in the context of low-middle-income countries in a newly decentralized setting.

CONCLUSIONS

Our results imply that targeted intergovernmental fiscal transfers may be effective at improving some subnational health outcomes, and therefore in reducing within-country health inequalities.

Understanding the impact of m-learning platform LEAP on learning outcomes and health care referral behavior of community health volunteers in Kenya

Mobile learning (m-learning) platforms are increasingly used to train healthcare workers as a strategy to address the global healthcare worker shortage. These platforms are also attractive because they are low-cost and accessible to anyone with a phone, providing the potential to foster equitable health information in the world's most remote and under-resourced areas. Because of this opportunity, many health initiatives have deployed m-learning approaches to meet their humanitarian goals, yet studies of their implementation are scattered. We provide a case study example of how a non-profit partnership between Amref and DataKind was leveraged to more robustly assess the data of the m-learning platform LEAP in Kenya, leading to a more in-depth understanding of its functionality and impact. These types of assessments are crucial to building data-informed decision making that can effectively advance the use of digital technologies for healthcare. The main findings from this work are as follows: (i) investment in analytics infrastructure is critical, (ii) structured m-learning programs have better outcomes, (iii) practicals are the most common activity, (iv) scores and completion rates are higher for learners that use the program in English and (v) referrals to health care facilities increased after formal LEAP programs.

RESUMEN

Las plataformas de aprendizaje electrónico móvil (m-learning) están siendo usadas con cada vez más frecuencia en la capacitación de prestadores de salud, como una estrategia para enfrentar la escasez mundial de prestadores de salud. Estas plataformas son además atractivas por ser de bajo costo y fácil acceso para cualquier persona con un teléfono celular, haciendo posible una más equitativa difusión de la información médica, incluso en las zonas más remotas y con menos recursos del mundo. Dadas estas oportunidades, muchas iniciativas sanitarias han desplegado planteamientos de aprendizaje móvil para alcanzar sus metas humanitarias, pero los estudios acerca de su implementación son algo dispersos. Presentamos aquí un ejemplo de estudio de caso de cómo una colaboración sin fines de lucro entre Amref y DataKind fue apalancada financieramente para poder evaluar de manera más robusta los datos de la plataforma de m-learning LEAP en Kenia, llevando a una comprensión más profunda de su funcionalidad e impacto. Este tipo de evaluaciones son cruciales para construir sistemas de toma de decisiones basadas en datos, que puedan avanzar de manera efectiva el uso de tecnologías digitales en el cuidado de la salud. Los hallazgos principales de este trabajo son: 1) la inversión en infraestructura analítica es crítica, 2) los programas de m-learning estructurados tienen mejores resultados, 3) las prácticas son la actividad más común, 4) las calificaciones y tasas de finalización son mayores para los aprendices que usan el programa en inglés, y 5) las referencias de pacientes a instalaciones de salud incrementaron tras el uso formal de los programas LEAP.

RESUMO

As plataformas de aprendizagem móvel (m-learning) são cada vez mais utilizadas para formar profissionais de saúde como estratégia para fazer face à escassez global de profissionais de saúde. Estas plataformas são também atrativas por serem de baixo custo e acessíveis a qualquer pessoa com um telemóvel, proporcionando o potencial para promover informação de saúde equitativa nas áreas mais remotas e com menos recursos do mundo. Devido a esta oportunidade, muitas iniciativas no domínio da saúde têm utilizado abordagens de aprendizagem móvel para atingir os seus objetivos humanitários, mas os estudos sobre a sua implementação são dispersos. Apresentamos um exemplo de estudo de caso de como uma parceria sem fins lucrativos entre a Amref e a DataKind foi aproveitada para avaliar de forma mais sólida os dados da plataforma de aprendizagem móvel LEAP no Quénia, levando a uma compreensão mais aprofundada da sua funcionalidade e impacto. Estes tipos de avaliações são cruciais para a tomada de decisões informadas por dados que possam efetivamente fazer avançar a utilização das tecnologias digitais nos cuidados de saúde. As principais conclusões deste trabalho são as seguintes: 1) o investimento em infraestruturas analíticas é fundamental; 2) os programas estruturados de aprendizagem móvel têm melhores resultados; 3) as atividades práticas são as mais comuns; 4) as pontuações e as taxas de conclusão são mais elevadas para os alunos que utilizam o programa em inglês; e 5) as referências a instalações de cuidados de saúde aumentaram após os programas formais LEAP.

RÉSUMÉ

Les plateformes d'apprentissage mobile (m-learning) sont de plus en plus utilisées pour former les professionnels de la santé comme stratégie pour faire face à la pénurie mondiale de personnels de santé. Ces plateformes sont également attrayantes car elles sont peu coûteuses et accessibles à toute personne disposant d'un téléphone, offrant ainsi la possibilité de favoriser une information sanitaire équitable dans les zones les plus reculées et les moins dotées en ressources du monde. En raison de cette opportunité, de nombreuses initiatives en matière de santé ont déployé des approches d'apprentissage mobile pour atteindre leurs objectifs humanitaires, mais les études sur leur mise en œuvre sont dispersées. Nous fournissons un exemple d'étude de cas sur la manière dont un partenariat à but non lucratif entre Amref et DataKind a été exploité pour évaluer de manière plus fiable les données de la plateforme d'apprentissage mobile LEAP au Kenya, conduisant à une compréhension plus approfondie de sa fonctionnalité et de son impact. Ces types d'évaluations sont essentiels pour établir une prise de décision fondée sur des données qui peut faire progresser efficacement l'utilisation des technologies numériques dans les soins de santé. Les principales conclusions de ce travail sont les suivantes: 1) l'investissement dans les infrastructures d'analyse est essentiel, 2) les programmes d'apprentissage mobile structurés ont de meilleurs résultats, 3) les travaux pratiques sont l'activité la plus courante, 4) les scores et les taux d'achèvement sont plus élevés pour les apprenants qui utilisent le programme en anglais, et 5) les références aux établissements de soins de santé ont augmenté après les programmes LEAP formels.

Developing emergency medical care policy across Kenya: A framework for policy development

Background and objectives

The Kenya Emergency Medical Care (EMC) Policy 2020-2030 was created to guide the advancement of EMC throughout Kenya. This report describes and maps the ongoing EMC policy development process across Kenya's 47 counties, serving as a real-world example of EMC policy development within a decentralized healthcare system in a low-or middle-income country (LMIC).

Methods

This report evaluates the development of county-specific EMC policies using the Kenya Institute for Public Policy Research and Analysis (KIPPRA) six stages for policy development: 1) problem identification, 2) agenda setting, 3) policy design, 4) approval, 5) implementation, and 6) monitoring and evaluation. Meeting minutes, workshop proceedings, and draft and final EMC policy documents were used to analyze the policy development process and provide a snapshot of current EMC policy statuses by county.

Results

As of August 2024, 23 counties have engaged in EMC policy development. Thirteen have finalized and are implementing their EMC policies, while 10 await approval. The remaining 24 counties are still in the planning stages. This process included gathering baseline emergency medical care standards to identify areas for improvement in each county. A core vision, mission, and goal aligned with the national policy were established and tailored to the county's needs. County-specific strategies were developed to address gaps between the existing system and national objectives. EMC policies were drafted, collaboratively reviewed, revised, and finalized before official approval. The next steps will be implementation, monitoring, and evaluation. Growth and improvement will be measured post-implementation based on baseline EMC metrics.

Conclusion

Kenya's strategy for EMC policy development across the 47 counties, utilizing KIPPRA's guidelines for public policy formulation, established a structured approach that included engaging stakeholders, conducting situational analyses, and aligning policy objectives with national goals. It is a comprehensive example of developing EMC policies for LMICs within decentralized healthcare systems.

Establishing a cancer registry and baseline data for Nyandarua County, Kenya: A step towards establishing a central cancer registry

Cancer is a major global public health issue, causing a significant number of premature deaths worldwide. In 2020, the World Health Organization reported that more than 19 million individuals were diagnosed with cancer, and over 10 million lost their lives to the disease. Predictions indicate that cancer-related deaths will exceed 30 million by 2030, with around 75 % occurring in low- and middle-income countries (LMICs) like Kenya. Various factors contribute to this concerning trend, including aging populations, a high prevalence of cancer risk factors, socioeconomic disparities resulting in limited healthcare access, and deficiencies in healthcare systems within LMICs. This study focused on Nyandarua County, Kenya, which lacks a dedicated cancer registry. Without comprehensive incidence data, the county faces challenges in developing targeted programs for cancer prevention, management, and control. The main objective of this investigation was to establish a cancer registry specific to Nyandarua County, capable of continuously gathering accurate cancer data, patient treatment follow-ups and disease outcomes. A demographic survey was conducted to determine the frequency of all-cause and specific cancers among patients who attended selected health facilities between 2013 and 2020. Data were collected from existing hospital records in three main hospitals in the county. A total of 1373 cases were recorded, with 54.9 % of patients being female. North Kinangop Catholic Hospital accounted for the largest number of patients (62 %), followed by JM Kariuki County Memorial Hospital (35 %), while Engineer Hospital contributed the remaining 3 %. The top five cancer sites observed in Nyandarua County were esophagus (16.8 %), cervix uteri (13.4 %), stomach (10.6 %), breast (8.8 %), and prostate (8.6 %). Our findings provide valuable insights into the prevalence and distribution of different types of cancer in the region. With the establishment of this cancer registry, Nyandarua County is now among the pioneering counties in Kenya. It is crucial for the county government to undertake the responsibility of continuously updating the registry to draw inferences regarding cancer prevalence in the region to enhance patients follow up and survival.

Delivery effectiveness of and adherence to intermittent preventive treatment for malaria in pregnancy with dihydroartemisinin-piperaquine with or without targeted information transfer or sulfadoxine-pyrimethamine in western Kenya: a three-armed, pragmatic, open-label, cluster-randomised trial

BACKGROUND

High-level resistance to sulfadoxine-pyrimethamine threatens the efficacy of WHO-recommended intermittent preventive treatment in pregnancy (IPTp) with single-dose sulfadoxine-pyrimethamine to prevent malaria. Monthly IPTp with dihydroartemisinin-piperaquine, a 3-day regimen, is an emerging alternative, but this regimen poses potential implementation and adherence challenges. We aimed to assess adherence to a multiday IPTp with dihydroartemisinin-piperaquine regimen and its delivery effectiveness in routine antenatal care settings in western Kenya.

METHODS

We conducted a pragmatic, three-armed, open-label, cluster-randomised trial in antenatal clinics in 18 health-care facilities (six facilities per group) in Kisumu County and Homa Bay County in western Kenya. Clusters were facilities offering routine antenatal care services provided by trained Ministry of Health staff with 100 or more antenatal clinic attendances per month between July, 2018, and June, 2019. Private or mission hospitals, dispensaries, referral hospitals, and trial sites were excluded. Individuals in their first trimester, living with HIV, or who were not attending a scheduled antenatal clinic visit were excluded. The 18 antenatal clinics were grouped into matched triplets stratified by location and clinics in each matched triplet were randomly assigned to one of the three study groups (1:1:1). Masking was not possible. Two groups were given IPTp with dihydroartemisinin-piperaquine (one group with a targeted information transfer intervention and one group without any additional interventions) and one group was given the standard of care (ie, IPTp with sulfadoxine-pyrimethamine). The primary endpoint, adherence, was defined as the proportion of participants completing their most recent 3-day IPTp with dihydroartemisinin-piperaquine regimen. This completion was verified by pill counts during home visits no more than 2 days after participants' 3-day regimens ended. The secondary endpoint, delivery effectiveness, was defined as the proportion of participants who received the correct number of IPTp tablets and correctly repeated dosing instructions (ie, correctly recalled the instructions they received about self-administered dihydroartemisinin-piperaquine doses and the number of sulfadoxine-pyrimethamine tablets they had received) at their exit from the antenatal clinic. Individuals receiving treatment for malaria, visiting a clinic for registration only, or interviewed during IPTp drug stock-outs were excluded from analyses. We used generalised linear mixed models to compare endpoints among the IPTp with dihydroartemisinin-piperaquine groups. This trial was registered with ClinicalTrials.gov, NCT04160026, and is complete.

FINDINGS

15 facilities (five per group) completed the trial, with 1189 participants having exit interviews (377 in the IPTp with sulfadoxine-pyrimethamine group, 408 in the IPTp with dihydroartemisinin-piperaquine only group, and 404 in the IPTp with dihydroartemisinin-piperaquine plus targeted information transfer intervention group) and 586 participants having home visits (267 in the IPTp with dihydroartemisinin-piperaquine only group and 319 in the IPTp with dihydroartemisinin-piperaquine plus targeted information transfer intervention group) from Sept 8 to Dec 10, 2020. Relative to the IPTp with dihydroartemisinin-piperaquine only group, adherence was 16% higher in the IPTp with dihydroartemisinin-piperaquine plus targeted information transfer intervention group (266 [83%] of 319 participants vs 196 [73%] of 267 participants; adjusted relative risk [RR] 1·16, 95% CI 1·03-1·31; p=0·0140). Delivery effectiveness in the IPTp with dihydroartemisinin-piperaquine plus targeted information transfer intervention group was not significantly different from that in the IPTp with sulfadoxine-pyrimethamine group (352 [87%] of 403 participants vs 335 [89%] of 375 participants; adjusted RR 0·97, 95% CI 0·90-1·05; p=0·4810). However, delivery effectiveness in the IPTp with dihydroartemisinin-piperaquine only group was significantly lower than in the IPTp with sulfadoxine-pyrimethamine group (300 [74%] of 404 participants vs 335 [89%] of 375 participants; 0·84, 0·75-0·95; p=0·0030).

INTERPRETATION

Targeted information transfer interventions to health-care providers and pregnant individuals boost antenatal care delivery adherence to a multiday regimen with dihydroartemisinin-piperaquine.

FUNDING

European and Developing Countries Clinical Trials Partnership 2, UK Joint Global Health Trials Scheme of the Foreign, Commonwealth and Development Office, Medical Research Council, National Institute for Health and Care Research, and Wellcome Trust; and Swedish International Development Cooperation Agency.

Strengthening health financing at sub-national level in Kenya: a stakeholder and needs mapping through a mixed methods approach

Introduction

health financing aims to ensure that the overall goal of the health system is attained. Countries with decentralised healthcare systems such as Kenya, face further challenges due to limited public financial management capacity within sub-national governments. While partner support has proved impactful in addressing these challenges, there is a paucity of evidence on the nature and distribution of the support in Kenya. This study sought to examine the current technical support and health financing support offered by partners across the 47 counties in Kenya.

Methods

the study used a descriptive cross-sectional design with a mixed methods approach. Quantitative data were collected from organisation representatives using semi-structured questionnaires and analysed using Microsoft Excel. Qualitative data were collected through key informants and in-depth interviews involving county Department of Health officials in 15 counties in Kenya. Interview recordings were transcribed and thematically analysed using NVIVO version 14.

Results

twenty (20) organisations reportedly provided health financing support to counties with planning, budgeting and health financing advocacy being the most supported work streams by partners. While each county had more than one partner supporting health financing activities, the western counties had more partners compared to other regions of Kenya. Whereas partner support was well acknowledged at the county level, there was a lack of coordination and alignment of partner activities with county priorities.

Conclusion

these findings highlight the essential need for national governments to ensure effective coordination of the technical assistance provided by partners to subnational levels and to ensure equitable distribution of support and alignment with county health priorities and needs.

Hypothermia amongst neonatal admissions in Kenya: a retrospective cohort study assessing prevalence, trends, associated factors, and its relationship with all-cause neonatal mortality

Background

Reports on hypothermia from high-burden countries like Kenya amongst sick newborns often include few centers or relatively small sample sizes.

Objectives

This study endeavored to describe: (i) the burden of hypothermia on admission across 21 newborn units in Kenya, (ii) any trend in prevalence of hypothermia over time, (iii) factors associated with hypothermia at admission, and (iv) hypothermia's association with inpatient neonatal mortality.

Methods

A retrospective cohort study was conducted from January 2020 to March 2023, focusing on small and sick newborns admitted in 21 NBUs. The primary and secondary outcome measures were the prevalence of hypothermia at admission and mortality during the index admission, respectively. An ordinal logistic regression model was used to estimate the relationship between selected factors and the outcomes cold stress (36.0°C-36.4°C) and hypothermia (<36.0°C). Factors associated with neonatal mortality, including hypothermia defined as body temperature below 36.0°C, were also explored using logistic regression.

Results

A total of 58,804 newborns from newborn units in 21 study hospitals were included in the analysis. Out of these, 47,999 (82%) had their admission temperature recorded and 8,391 (17.5%) had hypothermia. Hypothermia prevalence decreased over the study period while admission temperature documentation increased. Significant associations were found between low birthweight and very low (0-3) APGAR scores with hypothermia at admission. Odds of hypothermia reduced as ambient temperature and month of participation in the Clinical Information Network (a collaborative learning health platform for healthcare improvement) increased. Hypothermia at admission was associated with 35% (OR 1.35, 95% CI 1.22, 1.50) increase in odds of neonatal inpatient death.

Conclusions

A substantial proportion of newborns are admitted with hypothermia, indicating a breakdown in warm chain protocols after birth and intra-hospital transport that increases odds of mortality. Urgent implementation of rigorous warm chain protocols, particularly for low-birth-weight babies, is crucial to protect these vulnerable newborns from the detrimental effects of hypothermia.

Radiology image interpretation services in a low-resource setting: Medical doctors' experiences and the potential role of radiographers

INTRODUCTION

Medical doctors can encounter significant challenges in both the radiology image interpretation service and their ability to interpret images to promote effective patient management. This study aimed to explore the experiences of medical doctors in a low-resource setting regarding the image interpretation service received in state-funded hospitals and the potential role of radiographers.

METHODS

A qualitative approach with a descriptive phenomenology design was employed. Thirteen medical officers and medical interns, with a maximum of three years of experience, were purposively selected from three state-funded hospitals. Semi-structured interviews were conducted in English, and data analysis followed the conventional content analysis method using Atlas.ti for Windows (version 9).

RESULTS

Three main themes emerged from the data. The first theme was a poor image interpretation service which highlighted issues such as long turnaround times for image reporting and compromised patient management. The second theme was training and support deficiency which revealed the inadequacy of image interpretation training and the need for additional on-the-job support. The third theme was the inconspicuous radiographer role which showcased the potential opportunities for radiographers to aid in filling the gaps in the image interpretation system.

CONCLUSION

Medical doctors in this low-resource setting experience significant delays in radiology image interpretation, leading to compromised patient management. Their training in image interpretation is inadequate, and they often lack on-the-job support. Radiographers potentially play a role in image interpretation which may provide solutions to these contextual challenges.

IMPLICATIONS FOR PRACTICE

There is a need to review and develop a comprehensive image interpretation system that effectively supports medical doctors in image interpretation, possibly involving the collaboration of radiographers.

The impact of decentralisation on health systems: a systematic review of reviews

BACKGROUND

Decentralisation is a common mechanism for health system reform; yet, evidence of how it impacts health systems remains fragmented. Despite published findings from primary and secondary research illustrating range of impacts, a comprehensive and clear understanding is currently lacking. This review synthesised the existing evidence to assess how decentralisation (by devolution) impacts each of the six WHO building blocks, and the health system.

METHOD

We systematically searched five electronic databases for reviews exploring impact of decentralisation on health systems, globally. Reviews, both systematic and non-systematic, published in the English language from January 1990 to February 2022 were included. Data were synthesised across each of six building blocks. Quality assessment of the reviews was conducted using Critical Appraisal Skills Program for systematic and Scale for Assessment of Narrative Review Articles for non-systematic reviews.

RESULTS

Nine reviews, each addressing somewhat different questions, contexts and issues, were included. A range of positive and negative impacts of decentralisation on health system building blocks were identified; yet, overall, the impacts were more negative. Although inconclusive, evidence suggested that the impacts on leadership and governance and financing components in particular shape the impact on overall health system. Assessment of how the impact on building blocks translates to the broader impact on health systems is challenged by the dynamic complexities related to contexts, process and the health system itself.

CONCLUSIONS

Decentralisation, even if well intentioned, can have unintended consequences. Despite the difficulty of reaching universally applicable conclusions about the pros and cons of decentralisation, this review highlights some of the common potential issues to consider in advance.

PROSPERO REGISTRATION NUMBER

CRD42022302013.

Kenyan palliative care providers' and leaders' perceptions of palliative care research needs and support to facilitate rigorous research

BACKGROUND

Palliative care (PC) can reduce symptom distress and improve quality of life for patients and their families experiencing life-threatening illness. While the need for PC in Kenya is high, PC service delivery and research is limited. Qualitative research is needed to explore potential areas for PC research and support needed to enable that research. This insight is critical for informing a national PC research agenda and mobilizing limited resources for conducting rigorous PC research in Kenya.

OBJECTIVES

To explore perceptions of priority areas for PC research and support needed to facilitate rigorous research from the perspective of Kenyan PC providers and leaders.

METHODS

Focus groups (FGs) were conducted in November and December of 2018 using a semi-structured interview guide. FGs were audio-recorded, transcribed, and analyzed using a thematic content analysis approach.

RESULTS

Three FGs were conducted (n = 22 participants). Ten themes related to PC research emerged, including research on: 1) beliefs about death, disease, and treatment to inform PC; 2) awareness about PC, 3) integration of PC within the health system; 4) understanding caregiver experiences and needs; 5) community health volunteers (CHVs) and volunteer programs; 6) evaluation of costs and benefits of PC; 7) treatment approaches, including complementary and alternative medicine (CAM) and advanced diagnostics at end of life; 8) other suggestions for research, 9) populations in need of PC research; and 10) resources for enabling research.

CONCLUSIONS

Kenyan PC providers and leaders identified key areas requiring increased scientific inquiry and critical resources needed to enable this research. These findings can help to focus future PC research in Kenya and encourage funding agencies to prioritize the issues identified.

A small area model to assess temporal trends and sub-national disparities in healthcare quality

Monitoring subnational healthcare quality is important for identifying and addressing geographic inequities. Yet, health facility surveys are rarely powered to support the generation of estimates at more local levels. With this study, we propose an analytical approach for estimating both temporal and subnational patterns of healthcare quality indicators from health facility survey data. This method uses random effects to account for differences between survey instruments; space-time processes to leverage correlations in space and time; and covariates to incorporate auxiliary information. We applied this method for three countries in which at least four health facility surveys had been conducted since 1999 - Kenya, Senegal, and Tanzania - and estimated measures of sick-child care quality per WHO Service Availability and Readiness Assessment (SARA) guidelines at programmatic subnational level, between 1999 and 2020. Model performance metrics indicated good out-of-sample predictive validity, illustrating the potential utility of geospatial statistical models for health facility data. This method offers a way to jointly estimate indicators of healthcare quality over space and time, which could then provide insights to decision-makers and health service program managers.

Psychometric evaluation of PHQ-9 and GAD-7 among community health volunteers and nurses/midwives in Kenya following a nation-wide telephonic survey

Background

Nurses/midwives and Community Health Volunteers (CHVs) are exposed to chronic stressors putting them at risk of developing mental health problems. This has been exacerbated by the COVID-19 pandemic. There is limited empirical evidence of the burden of mental health problems among health care workers partly due to the lack of adequately standardized and validated measures for use among health care workers in Sub-Saharan Africa. This study aimed to perform the psychometric evaluation of the PHQ-9 and GAD-7 administered to nurses/midwives and CHVs across 47 counties in Kenya.

Methods

Between June and November 2021, a national survey on mental well-being and resilience among nurses/midwives and CHVs was conducted via telephone interviews. The survey had a total sample size of 1907 nurses/midwives and 2027 CHVs. Cronbach's alpha and MacDonalds' omega were used to evaluate the scale's internal consistency. Confirmatory Factor Analysis (CFA) was used to test the one-factor structure of the scales. Multi-group CFA was applied to evaluate the generalizability of the scales across the Swahili and English versions, and among male and female health workers. The Spearman correlation was used to assess the tools' divergent and convergent validity.

Results

The internal consistency of PHQ-9 and GAD-7 was good, with alpha and omega values above 0.7 across study samples. CFA results indicated a one-factor structure of the PHQ-9 and GAD-7 for both nurses/midwives and CHVs. Multi-group CFA showed that both scales were unidimensional across both language and sex. The PHQ-9 and GAD-7 were significantly negatively correlated with resilience and work engagement, supporting divergent validity. The PHQ-9 and GAD-7 were also significantly positively correlated with resilience and work engagement, supporting divergent validity.

Conclusion

The PHQ-9 and GAD-7 are unidimensional, reliable, and valid tools for screening depression and anxiety among nurses/midwives and CHVs. The tools can be administered in a similar population or study setting using either Swahili or English.

Mental healthcare services in Kenyan counties: a descriptive survey of four counties in Western Kenya

BACKGROUND

The government of Kenya has made progressive efforts towards improving mental health services in the country. However there is little documentation of mental health services in the counties that would support actualization of the legislative frameworks in the context of a devolved healthcare system. This study sought to document existing mental health services within 4 counties in Western Kenya.

METHODS

We conducted a cross sectional descriptive survey of four counties using the World Health Organization, Assessment Instrument for Mental Health Systems (WHO-AIMS). Data was collected in 2021, with 2020 being the year of reference. We collected data from the facilities offering mental healthcare within the counties as well as from County health policy makers and leaders.

RESULTS

Mental healthcare was provided at higher level facilities within the counties, with minimal structures at primary care facilities. No county had a stand-alone policy on mental health services or dedicated budget for mental healthcare. The national referral hospital, within Uasin-Gishu county, had a clear mental health budget for mental health. The national facility in the region had a dedicated inpatient unit while the other three counties admitted patients in general medical wards but had mental health outpatient clinics. The national hospital had a variety of medication for mental health care while the rest of the counties had very few options with antipsychotics being the most available. All the four counties reported submitting data on mental health to Kenya health information system (KHIS). There were no clearly defined mental healthcare structures in the primary care level except for funded projects under the National referral hospital and the referral mechanism was not well defined. There was no established mental health research in the counties except that which was affiliated to the national referral hospital.

CONCLUSION

In the four counties in Western Kenya, the mental health systems are limited and not well structured, are faced with limited human and financial resources and there is lack of county specific legistrative frameworks to support mental healthcare. We recommend that counties invest in structures to support provision of quality mental healthcare to the people they serve.

Political economy analysis of subnational health management in Kenya, Malawi and Uganda

The need to bolster primary health care (PHC) to achieve the Sustainable Development Goal (SDG) targets for health is well recognized. In Eastern and Southern Africa, where governments have progressively decentralized health decision-making, health management is critical to PHC performance. While investments in health management capacity are important, so is improving the environment in which managers operate. Governance arrangements, management systems and power dynamics of actors can have a significant influence on health managers' ability to improve PHC access and quality. We conducted a problem-driven political economy analysis (PEA) in Kenya, Malawi and Uganda to explore local decision-making environments and how they affect management and governance practices for health. This PEA used document review and key informant interviews (N = 112) with government actors, development partners and civil societies in three districts or counties in each country (N = 9). We found that while decentralization should improve PHC by supporting better decisions in line with local priorities from community input, it has been accompanied by thick bureaucracy, path-dependent and underfunded budgets that result in trade-offs and unfulfilled plans, management support systems that are less aligned to local priorities, weak accountability between local government and development partners, uneven community engagement and insufficient public administration capacity to negotiate these challenges. Emergent findings suggest that coronavirus disease 2019 (COVID-19) not only resulted in greater pressures on health teams and budgets but also improved relations with central government related to better communication and flexible funding, offering some lessons. Without addressing the disconnection between the vision for decentralization and the reality of health managers mired in unhelpful processes and politics, delivering on PHC and universal health coverage goals and the SDG agenda will remain out of reach.

Geographic accessibility and hospital competition for emergency blood transfusion services in Bungoma, Western Kenya

BACKGROUND

Estimating accessibility gaps to essential health interventions helps to allocate and prioritize health resources. Access to blood transfusion represents an important emergency health requirement. Here, we develop geo-spatial models of accessibility and competition to blood transfusion services in Bungoma County, Western Kenya.

METHODS

Hospitals providing blood transfusion services in Bungoma were identified from an up-dated geo-coded facility database. AccessMod was used to define care-seeker's travel times to the nearest blood transfusion service. A spatial accessibility index for each enumeration area (EA) was defined using modelled travel time, population demand, and supply available at the hospital, assuming a uniform risk of emergency occurrence in the county. To identify populations marginalized from transfusion services, the number of people outside 1-h travel time and those residing in EAs with low accessibility indexes were computed at the sub-county level. Competition between the transfusing hospitals was estimated using a spatial competition index which provided a measure of the level of attractiveness of each hospital. To understand whether highly competitive facilities had better capacity for blood transfusion services, a correlation test between the computed competition metric and the blood units received and transfused at the hospital was done.

RESULTS

15 hospitals in Bungoma county provide transfusion services, however these are unevenly distributed across the sub-counties. Average travel time to a blood transfusion centre in the county was 33 min and 5% of the population resided outside 1-h travel time. Based on the accessibility index, 38% of the EAs were classified to have low accessibility, representing 34% of the population, with one sub-county having the highest marginalized population. The computed competition index showed that hospitals in the urban areas had a spatial competitive advantage over those in rural areas.

CONCLUSION

The modelled spatial accessibility has provided an improved understanding of health care gaps essential for health planning. Hospital competition has been illustrated to have some degree of influence in provision of health services hence should be considered as a significant external factor impacting the delivery, and re-design of available services.

Living with Endometriosis: A Narrative Analysis of the Experiences of Kenyan Women

Despite the high global prevalence of endometriosis, little is known about the experiences of women living with the disease in low- and middle-income contexts, including in Kenya and other countries across sub-Saharan Africa. This study captures the perspectives and recommendations of Kenyan women living with endometriosis through written narratives about the impact of the disease on their daily lives and their journeys through diagnosis and treatment. Thirty-seven women between the ages of 22 and 48 were recruited from an endometriosis support group in Nairobi and Kiambu, Kenya (February-March of 2022) in partnership with the Endo Sisters East Africa Foundation. Narrative data (written anonymous stories submitted through Qualtrics) were analyzed using a deductive thematic analysis methodology. Their stories revealed three themes related to their shared experiences with endometriosis: (1) stigma and disruption to quality of life, (2) barriers to acceptable healthcare, and (3) reliance on self-efficacy and social support to cope with the disease. These findings demonstrate a clear need for improved social awareness of endometriosis in Kenya and the establishment of clear, effective, and supportive pathways, with trained, geographically and financially accessible health care providers, for endometriosis diagnosis and treatment.

Implementation research protocol on the national community health policy in Guinea: A sequential mixed-methods study using a decision space approach

The overall goal of this study is to explore the rollout of the community health policy in Guinea in the context of decentralization, and the role of decision space (the decision authority, capacities, and accountability of local officials) in explaining gaps between the policy's conceptualization and actual implementation. The implementation research study will employ a sequential explanatory mixed-methods design. The study will be conducted in 27 communes purposefully selected across the country and include communes where the national community health policy is fully, partially, and not yet being implemented. The quantitative component, based on a survey questionnaire and secondary data, will use ordinary least squares (OLS) multiple regression to compare maternal and child health (MCH) coverage indicators according to the level of policy implementation in the commune. An interrupted time series analysis will be conducted to assess changes in routine MCH service delivery indicators associated with implementation of the community health policy, comparing indicators from one year prior to implementation. OLS regression will be conducted to assess the association between decision space and MCH indicators; all analyses will be carried out in Stata. Findings from the quantitative study will be used to inform the key qualitative questions and areas to explore in greater depth, to develop the interview and focus group guides, and to generate an initial codebook. Qualitative data will be double coded in NVivo by two qualitative analysts, and results generated using thematic analysis. Findings from the quantitative and qualitative components will be integrated and triangulated for interpretation and reporting. Findings and recommendations of this study will inform revisions to the National Community Health Policy to improve its rollout and effectiveness.

VMMC Programmatic Successes and Challenges: Western Kenya Case Study

PURPOSE OF REVIEW

The Nyanza region of western Kenya is lauded for impressive coverage of voluntary medical male circumcision (VMMC) and remains the bedrock of the VMMC program in Kenya. We conducted literature review on programmatic successes and challenges of implementing VMMC program in the region.

RECENT FINDINGS

Responsive stakeholders' engagement, robust policy environment, effective technical working groups, prompt capacity building of health facilities, government support, flexible implementation strategies, and sustained donor funding contributed to the successes of the program that saw circumcision prevalence in Nyanza reach between 75.6 and 85.3% among 15-29-year-olds by 2019. However, the lack of support for early infant circumcision, inadequate domestic financing, and slow pace of service integration into government health facilities continue to undermine the progress towards sustainability. While local ownership of the VMMC program has been demonstrated through its inclusion in county annual health workplans and progressive integration into routine health care, continued dependence on declining external funding threatens its sustainability. Furthermore, Kenya is experiencing a youth bulge with a projected high demand for VMMC which calls for increased resource inputs into the program. Strategies are therefore needed to increase domestic resource inflows into VMMC.

Impact of traffic congestion on spatial access to healthcare services in Nairobi

Background

Geographic accessibility is an important determinant of healthcare utilization and is critical for achievement of universal health coverage. Despite the high disease burden and severe traffic congestion in many African cities, few studies have assessed how traffic congestion impacts geographical access to healthcare facilities and to health professionals in these settings. In this study, we assessed the impact of traffic congestion on access to healthcare facilities, and to the healthcare professionals across the healthcare facilities.

Methods

Using data on health facilities obtained from the Ministry of Health in Kenya, we mapped 944 primary, 94 secondary and four tertiary healthcare facilities in Nairobi County. We then used traffic probe data to identify areas within a 15-, 30- and 45-min drive from each health facility during peak and off-peak hours and calculated the proportion of the population with access to healthcare in the County. We employed a 2-step floating catchment area model to calculate the ratio of healthcare and healthcare professionals to population during these times.

Results

During peak hours, <70% of Nairobi's 4.1 million population was within a 30-min drive from a health facility. This increased to >75% during off-peak hours. In 45 min, the majority of the population had an accessibility index of one health facility accessible to more than 100 people (<0.01) for primary health care facilities, one to 10,000 people for secondary facilities, and two health facilities per 100,000 people for tertiary health facilities. Of people with access to health facilities, a sub-optimal ratio of <4.45 healthcare professionals per 1,000 people was observed in facilities offering primary and secondary healthcare during peak and off-peak hours.

Conclusion

Our study shows access to healthcare being negatively impacted by traffic congestion, highlighting the need for multisectoral collaborations between urban planners, health sector and policymakers to optimize health access for the city residents. Additionally, growing availability of traffic probe data in African cities should enable similar analysis and understanding of healthcare access for city residents in other countries on the continent.

A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN

The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods, or cyclones can be helped by the medical recommender system. In the era of machine learning (ML), recommender systems produce more accurate, quick, and reliable clinical predictions with minimal costs. As a result, these systems maintain better performance, integrity, and privacy of patient data in the decision-making process and provide precise information at any time. Therefore, we present drug recommender systems with a stacked artificial neural network (ANN) model to improve the fairness and safety of treatment for infectious diseases. To reduce side effects, drugs are recommended based on a patient’s previous health profile, lifestyle, and habits. The proposed system produced results with 97.5% accuracy. A system such as this could be useful in recommending safe medicines to patients, especially during health emergencies.

Demand and supply-side barriers and opportunities to enhance access to healthcare for urban poor populations in Kenya: a qualitative study

OBJECTIVE

To explore the barriers to and options for improving access to quality healthcare for the urban poor in Nairobi, Kenya.

DESIGN AND PARTICIPANTS

This was a qualitative approach. In-depth interviews (n=12), focus group discussions with community members (n=12) and key informant interviews with health providers and policymakers (n=25) were conducted between August 2019 and September 2020. Four feedback and validation workshops were held in December 2019 and April-June 2021.

SETTING

Korogocho and Viwandani urban slums in Nairobi, Kenya.

RESULTS

The socioe-conomic status of individuals and their families, such as poverty and lack of health insurance, interact with community-level factors like poor infrastructure, limited availability of health facilities and insecurity; and health system factors such as limited facility opening hours, health providers' attitudes and skills and limited public health resources to limit healthcare access and perpetuate health inequities. Limited involvement in decision-making processes by service providers and other key stakeholders was identified as a major challenge with significant implications on how limited health system resources are managed.

CONCLUSION

Despite many targeted interventions to improve the health and well-being of the urban poor, slum residents are still unable to obtain quality healthcare because of persistent and new barriers due to the COVID-19 pandemic. In a devolved health system, paying attention to health services managers' abilities to assess and respond to population health needs is vital. The limited use of existing accountability mechanisms requires attention to ensure that the mechanisms enhance, rather than limit, access to health services for the urban slum residents. The uniqueness of poor urban settings also requires in-depth and focused attention to social determinants of health within these contexts. To address individual, community and system-level barriers to quality healthcare in this and related settings and expand access to health services for all, multisectoral strategies tailored to each population group are needed.

Tweedie Model for Predicting Factors Associated with Distance Traveled to Access Inpatient Services in Kenya

Aim. This study aims to examine which factors influence the distance traveled by patients for inpatient care in Kenya. Methods. We used data from the fourth round of the Kenya Household Health Expenditure and Utilization survey. Our dependent variable was the self-reported distance traveled by patients to access inpatient care at public health facilities. As the clustered data were correlated, we used the generalized estimating equations approach with an exchangeable correlation under a Tweedie distribution. To select the best-fit covariates for predicting distance, we adopted a variable selection technique using the $QI{C}_u$ and $R^2$ criteria, wherein the lowest (highest) value for the former (latter) is preferred. Results. Using data for 451 participants from 47 counties, we found that three-fifths were admitted between 1 and 5 days, two-thirds resided in rural areas, and 90% were satisfied with the facilities’ service. Wealth quintiles were evenly distributed across respondents. Most admissions (81%) comprised $<$ 15, $>$ 65, and 25–54 years. Many households were of medium size (4–6 members) and had low education level (48%), and nine-tenths had no access to insurance. While two-thirds reported employment-based income, the same number reported not having cash to pay for inpatient services; 6 out of 10 paid over 3000 KES. Thus, differences in employment, ability to pay, and household size influence the distance traveled to access government healthcare facilities in Kenya. Interpretation. Low-income individuals more likely have large households and live in rural areas and, thus, are forced to travel farther to access inpatient care. Unlike the unemployed, the employed may have better socioeconomic status and possibly live near inpatient healthcare facilities, thereby explaining their short distances to access these services. Policymakers must support equal access to inpatient services, prioritize rural areas, open job opportunities, and encourage smaller families.

Geospatial Analysis of Dental Access and Workforce Distribution in Kenya

Background and Objective

One of the major factors affecting access to quality oral healthcare in low- and middle-income countries is the under-supply of the dental workforce. The aim of this study was to use Geographical Information System (GIS) to analyse the distribution and accessibility of the dental workforce and facilities across the Kenyan counties.

Methods

This was a cross-sectional study targeting dental professionals and their practices in Kenya in 2013. Using QGIS 3.16, these data were overlaid with data on population size and urbanization levels. For access measurement, buffers were drawn around each clinic at distances of 2.5, 5, 10 and 20 km, and the population within each determined.

Findings

Nine hundred six dental professionals in 337 dental clinic locations were included in the study. Dentists, community oral health officers (equivalent to dental therapists) and dental technologists comprised 72%, 15% and 12%, respectively. Nairobi county with 100% urbanization and >4000 people/km² had 43% of the workforce and a dentist to population ratio of 1:9,018. Wajir with an urbanization level of 15% and 12 people/km² had no dental facility. Overall, 11%, 19%, 35% and 58% of the Kenyan population were within 2.5, 5, 10 and 20 km radius of a dental clinic respectively.

Conclusion

Maldistribution of dental workforce in Kenya persists, particularly in less urbanized and sparsely populated areas. GIS map production give health planners a better visual picture of areas that are most in need of health care services based on population profiles.

Performance assessment of the county healthcare systems in Kenya: a mixed-methods analysis

INTRODUCTION

A well performing public healthcare system is necessary for Kenya to continue progress towards universal health coverage (UHC). Identifying actionable measures to improve the performance of the public healthcare system is critical to progress towards UHC. We aimed to measure and compare the performance of Kenya's public healthcare system at the county level and explore remediable drivers of poor healthcare system performance.

METHODS

Using administrative data from fiscal year 2014/2015 through fiscal year 2017/2018, we measured the technical efficiency of 47 county-level public healthcare systems in Kenya using stochastic frontier analysis. We then regressed the technical efficiency measure against a set of explanatory variables to examine drivers of efficiency. Additionally, in selected counties, we analysed surveys and focus group discussions to qualitatively understand factors affecting performance.

RESULTS

The median technical efficiency of county public healthcare systems was 84% in fiscal year 2017/2018 (with an IQR of 79% to 90%). Across the four fiscal years of data, 27 out of the 47 Kenyan counties had a declining technical efficiency score. Our regression analysis indicated that impediments to the flow of funding-measured by the budget absorption rate which is the ratio between funds spent and funds released-were significantly related to poor healthcare system performance. Our analysis of interviews and surveys yielded a similar conclusion as nearly 50% of respondents indicated issues stemming from poor budget absorption were significant drivers of poor healthcare system performance.

CONCLUSION

Public healthcare systems at the county-level in Kenya general performed well; however, addressing delays in the flow of funding is a concrete step to improve healthcare system performance. As Kenya-and other countries-provides additional funding to meet their UHC goals, establishing a strong and robust public financial management system is critical to ensure that the benefits of UHC are realised.