Evidence map›Paper›PMID 24754917›Full record

ArticleBMC health services research2014

A scoping study on task shifting; the case of Uganda.

Sebastian Olikira Baine, Arabat Kasangaki

Abstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
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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

39 citing papers in PubMed, 3 syntheses or guidelines 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

2 authors.

Sebastian Olikira BaineSchool of Public Health, College of Health Sciences, Makerere University, P, O, Box 7072, Kampala, Uganda. sbaine@musph.ac.ug.
Arabat Kasangaki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTask shifting has been implemented in Uganda for decades with little documentation. This study's objectives were to; gather evidence on task-shifting experiences in Uganda, establish its acceptability and perceptions among health managers and policymakers, and make recommendations.

methodsThis was a qualitative study. Data collection involved; review of published and gray literature, and key informant interviews of stakeholders in health policy and decision making in Uganda. Data was analyzed by thematic content analysis.

resultsTask shifting was the mainstay of health service delivery in Uganda. Lower cadre of health workers performed duties of specialized health workers. However, Uganda has no task shifting policy and guidelines, and task shifting was practiced informally. Lower cadre of health workers were deemed to be incompetent to handle shifted roles and already overworked, and support supervision was poor. Advocates of task shifting argued that lower cadre of health workers already performed the roles of highly trained health workers. They needed a supporting policy and support supervision. Opponents argued that lower cadre of health workers were; incompetent, overworked, and task shifting was more expensive than recruiting appropriately trained health workers.

conclusionsTask shifting was unacceptable to most health managers and policy makers because lower cadres of health workers were; incompetent, overworked and support supervision was poor. Recruitment of existing unemployed well trained health workers, implementation of human resource motivation and retention strategies, and government sponsored graduates to work for a defined mandatory period of time were recommended.

Indexed as

Clinical CompetenceCommunity Health WorkersHealth PersonnelPersonnel DelegationHealth PolicyHospital AdministratorsHumansPersonnel, HospitalQualitative ResearchUganda

Identifiers

PMID24754917
PMCPMC4036592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.