Evidence map›Paper›PMID 35918710›Full record

ArticleBMC health services research2022

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

Rita Ammoun, Welcome Mkhululi Wami, Peter Otieno, Constance Schultsz, Catherine Kyobutungi, Gershim Asiki

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rita AmmounFaculty of Médicine, Limoges Université, 2 Rue du Docteur Marcland, 87025, LIMOGES CEDEX, France.
Welcome Mkhululi WamiAfrican Population and Health Research Center, 2nd Floor Manga Close, Off Kirawa Road, P.O. Box 10787 - 0100, Kitisuru, Nairobi, Kenya. w.wami@aighd.org.
Peter OtienoAfrican Population and Health Research Center, 2nd Floor Manga Close, Off Kirawa Road, P.O. Box 10787 - 0100, Kitisuru, Nairobi, Kenya.
Constance SchultszAmsterdam UMC, location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Meibergdreef 9 1105 AZ, Amsterdam, the Netherlands.
Catherine KyobutungiAfrican Population and Health Research Center, 2nd Floor Manga Close, Off Kirawa Road, P.O. Box 10787 - 0100, Kitisuru, Nairobi, Kenya.
Gershim AsikiAfrican Population and Health Research Center, 2nd Floor Manga Close, Off Kirawa Road, P.O. Box 10787 - 0100, Kitisuru, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-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.

methodsA 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.

resultsOf 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.

conclusionsImportant 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.

Indexed as

Cardiovascular DiseasesDiabetes MellitusNoncommunicable DiseasesUterine Cervical NeoplasmsCross-Sectional StudiesEarly Detection of CancerFemaleHealth FacilitiesHealth Services AccessibilityHumansKenyaHealthcare facilitiesNon-communicable diseasesReadinessService availability

Identifiers

PMID35918710
PMCPMC9344761

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.