Diabetes health care specific services readiness and availability in Kenya

Implications for Universal Health Coverage

Bibliographic Data

ID19591903
AuthorsStephen N Onteri (0000-0003-3327-5126), Pere Mutjé (0000-0001-8211-4949), James Kariuki (0000-0001-7460-2109), S Presta, David Mathu, M Àngels Pèlach (0000-0002-3441-4645), Antony M Wangui (0009-0002-4943-7484), Fabiola Vilaseca (0000-0001-7752-3158), Lucy Magige, Jalel Labidi (0000-0002-8382-9492), Joseph Mutai (0000-0002-4154-7577), Vyolah Chuchu (0009-0009-3897-6862), Sarah Karanja (0000-0001-5275-5534), Ismail Ahmed (0000-0001-6591-0169), Sharon Mokua, Priscah Otambo, Zipporah Bukania (0000-0001-7134-4423)
EditorsShailendra Prasad (0000-0003-1168-5917)
Year2023
Volume3
Issue9
Pagese0002292
Publication date2023-09-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0002292
OpenAlexW37756286
LanguageEN
Citations received2
References cited16

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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