Evidence map›Paper›PMID 34718555›Full record

ArticleHealth policy and planning2022

Understanding the performance of county health service delivery in Kenya: a mixed-method analysis.

Wu Zeng, Anita Musiega, Joyce Oyasi, Laura Di Giorgio, Jane Chuma, Ruoyan Lu, Haksoon Ahn

Abstract read
In one paragraph

Article in Health policy and planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
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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

7 authors.

Wu ZengDepartment of International Health, School of Nursing & Health Studies, Georgetown University, 3700 Reservoir Rd NW, Washington, DC 20007, USA.ORCID 0000-0002-3473-3638
Anita MusiegaHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme, 197 Lenana Place, Lenana Road, Nairobi, Kenya.
Joyce OyasiCentre for Economic and Social Research, Queensway House, Kaunda Street, Nairobi, Kenya.
Laura Di GiorgioWorld Bank, 1818 H Street NW, Washington, DC 20433, USA.
Jane ChumaWorld Bank Kenya Office, Delta Center, Menengai Road, Nairobi, Kenya.
Ruoyan LuSchool of Public Health, Fujian Medical University, 1 Xuefu North Road, Newe University District, Fuzhou 350122, China.
Haksoon AhnSchool of Social Work, University of Maryland, 525 W. Redwood Street, Baltimore, MD 21201, USA.

Funding

Wellcome Trust 203077World Bank Group
6 · The paper itself

Abstract

To better understand the wide variation of performance among county health systems in Kenya, this study investigated their performance determinants. We selected five counties with varied performance and examined their performance across five domains containing 10 thematic areas. We conducted a stakeholder analysis, consisting of focus group discussions and key informant interviews, and administered a quantitative survey to quantify the magnitude of inefficiency. The study found that a shortage of funding was one of the most common complaints from counties, leading to inefficiency in the health system. Another major reason for inefficiencies was the delay in disbursing funding to health facilities, which affected the procurement of medical supplies and commodities essential for delivering healthcare to the population. In addition, lack of autonomy in procuring commodities and equipment was repeatedly mentioned as a barrier to delivering quality health services. Other reported common concerns contributing to the performance of county health systems were the lack of lab tests and equipment, low willingness to join health insurance, rigid procurement policies and lengthy procurement process, lack of motivation and incentives for service delivery, and poor economic status. Despite the common concerns among the five counties, they differed in some schematic areas, such as the county's commitment to health and community mobilization. In summary, this study suggests various factors that determine county health system performance. Given the multifaceted nature of inefficiency drivers, it is necessary to adopt a holistic approach to address the causes of inefficiencies and improve the county health systems.

Indexed as

Delivery of Health CareHealth ServicesFocus GroupsHealth FacilitiesHumansKenyaEfficiencyhealth systemsKenya

Identifiers

PMID34718555
PMCPMC7613432

What OpenQuestion holds

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LicenceCC BY
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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.