Evidence map›Paper›PMID 35936230›Full record

ArticleAnnals of global health2022

County Health Leadership Practices and Readiness for Noncommunicable Disease Services in Kenya.

Paul Wekesa, Kevin Owuor, Cheryl Beers Cullen

Abstract read
In one paragraph

Article in Annals of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Paul WekesaCentre for Health Solutions - Kenya (CHS), 4th Floor, CVS Plaza, Kasuku road off Lenana road, P.O. Box 23248-00100 GPO, Nairobi, Kenya.ORCID 0000-0001-9274-7731
Kevin OwuorCentre for Health Solutions - Kenya (CHS), KE.ORCID 0000-0003-0712-3209
Cheryl Beers CullenWalden University, College of Health Sciences, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Premature mortality from noncommunicable diseases (NCDs) is a contemporary development challenge. Low-income and lower-middle-income countries are disproportionately affected, with the poorest in society considered the most vulnerable. A paucity of literature exists on how leadership practices at the implementation level relate to ensuring readiness for NCD services. Objective: This study investigated any relationship between leadership practices and readiness for NCD services. Methods: This correlational study investigated any relationship between leadership practices at the county level and readiness for NCD services in Kenya using secondary data from a 2013 Service Availability and Readiness Assessment survey. Correlation and multiple linear regression tests were used to determine the strength and direction of any relationship between leadership practices (annual work planning, therapeutic committees, and supportive supervision), and NCD readiness (county readiness score). Findings: The findings indicated a statistically significant relationship between therapeutic committee ( Conclusion: Health leaders should ensure that leadership practices that have a predictive relationship with NCD readiness, such as therapeutic committee activities and supportive supervision visits, are implemented appropriately. Further, county health leaders should pay particular attention to the implementation of these leadership practices at nonpublic and Tiers 2, 3, and 4 health facilities that had lower NCD readiness scores.

Indexed as

Noncommunicable DiseasesHealth FacilitiesHumansKenyaLeadershipMortality, PrematurecountyKenyaleadership practicesNoncommunicable diseasesservice readiness

Identifiers

PMID35936230
PMCPMC9306762

What OpenQuestion holds

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Registered trials

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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.