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. 2022 Aug 2;22(1):985.
doi: 10.1186/s12913-022-08364-w.

Readiness of health facilities to deliver non-communicable diseases services in Kenya: a national cross-sectional survey

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Readiness of health facilities to deliver non-communicable diseases services in Kenya: a national cross-sectional survey

Rita Ammoun et al. BMC Health Serv Res. .

Abstract

Background: Non-communicable diseases (NCDs) account for an estimated 71% of all global deaths annually and nearly 80% of these deaths occur in low- and middle-income countries. This study aimed to assess the readiness of existing healthcare systems at different levels of health care in delivering NCDs management and prevention services in Kenya.

Methods: A cross-sectional survey of 258 facilities was conducted between June 2019 and December 2020 using multistage sampling, examining facility readiness based on the availability of indicators such as equipment, diagnostic capacity, medicines and commodities, trained staff and guidelines for NCDs management. Readiness scores were calculated as the mean availability of tracer items expressed as a percentage and a cut-off threshold of ≥ 70% was used to classify facilities as "ready" to manage NCDs. Descriptive and bivariate analyses were performed to assess the readiness of facilities by type, level, and location settings. Logistic regressions were used to identify factors associated with the readiness of facilities to provide disease-specific services.

Results: Of the surveyed facilities, 93.8% offered chronic respiratory disease (CRD) diagnosis and/or management services, 82.2% diabetes mellitus, 65.1% cardiovascular disease (CVD), and only 24.4% cervical cancer screening services. The mean readiness scores for diabetes mellitus (71%; 95% CI: 67-74) and CVD (69%; 95% CI: 66-72) were relatively high. Although CRD services were reportedly the most widely available, its mean readiness score was low (48%; 95% CI: 45-50). The majority of facilities offering cervical cancer services had all the necessary tracer items available to provide these services. Modeling results revealed that private facilities were more likely to be "ready" to offer NCDs services than public facilities. Similarly, hospitals were more likely "ready" to provide NCDs services than primary health facilities. These disparities in service readiness extended to the regional and urban/rural divide.

Conclusions: Important gaps in the current readiness of facilities to manage NCDs in Kenya at different levels of health care were revealed, showing variations by disease and healthcare facility type. A collective approach is therefore needed to bridge the gap between resource availability and population healthcare needs.

Keywords: Healthcare facilities; Non-communicable diseases; Readiness; Service availability.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Service-specific percentage domains and mean readiness scores for facilities that offered non-communicable diseases services
Fig. 2
Fig. 2
Comparisons of service-specific readiness scores by facility characteristics Gardner-Altman estimation plots for comparing mean service readiness scores, by facility level, type, urban/rural, and region: (a) diabetes mellitus; (b) cardiovascular disease (CVD); (c) chronic respiratory disease (CRD); (d) cervical cancer.

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