ArticlePLOS global public health2023
Diabetes health care specific services readiness and availability in Kenya: Implications for Universal Health Coverage.
Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring barriers and enablers to diabetes self-care practice in Ethiopia, 2025: A qualitative systematic review.PloS one · 2026Pooled it
- Institutional capacity for non-communicable disease care in Ghana's primary health care system: a multi-method study.BMC primary care · 2026Article
- A Readiness Level Assessment of Healthcare Facilities in the Democratic Republic of Congo for the Management of Cardiovascular Disease and Diabetes.Journal of clinical medicine · 2025Article
- Pre- and post-amputation healthcare experiences among persons with lower-limb amputations and their relatives: The case of Trinidad and Tobago.PLOS global public health · 2025Article
- Non-communicable diseases and resistant tuberculosis, a growing burden among people living with HIV in Eastern Kenya.PLOS global public health · 2025Article
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Authors and funding
12 authors.
Funding
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Abstract
Diabetes is a major cause of morbidity and mortality worldwide yet preventable. Complications of undetected and untreated diabetes result in serious human suffering and disability. It negatively impacts on individual's social economic status threatening economic prosperity. There is a scarcity of data on health system diabetes service readiness and availability in Kenya which necessitated an investigation into the specific availability and readiness of diabetes services. A cross sectional descriptive study was carried out using the Kenya service availability and readiness mapping tool in 598 randomly selected public health facilities in 12 purposively selected counties. Ethical standards outlined in the 1964 Declaration of Helsinki and its later amendments were upheld throughout the study. Health facilities were classified into primary and secondary level facilities prior to statistical analysis using IBM SPSS version 25. Exploratory data analysis techniques were employed to uncover the distribution structure of continuous study variables. For categorical variables, descriptive statistics in terms of proportions, frequency distributions and percentages were used. Of the 598 facilities visited, 83.3% were classified as primary while 16.6% as secondary. A variation in specific diabetes service availability and readiness was depicted in the 12 counties and between primary and secondary level facilities. Human resource for health reported a low mean availability (46%; 95% CI 44%-48%) with any NCDs specialist and nutritionist the least carder available. Basic equipment and diagnostic capacity reported a fairly high mean readiness (73%; 95% CI 71%-75%) and (64%; 95%CI 60%-68%) respectively. Generally, primary health facilities had low diabetic specific service availability and readiness compared to secondary facilities: capacity to cope with diabetes increased as the level of care ascended to higher levels. Significant gaps were identified in overall availability and readiness in both primary and secondary levels facilities particularly in terms of human resource for health specifically nutrition and laboratory profession.
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Registered trials
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