Evidence map›Paper›PMID 29165641›Full record

ArticleHealth policy and planning2018

How to do (or not to do)… Measuring health worker motivation in surveys in low- and middle-income countries.

J Borghi, J Lohmann, E Dale, F Meheus, J Goudge, K Oboirien, A Kuwawenaruwa

Abstract read
In one paragraph

Article in Health policy and planning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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.

J BorghiDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, UK.
J LohmannInstitute of Public Health, Heidelberg University, Heidelberg, Germany.
E DaleDepartment of Health Systems Financing, World Health Organization, Geneva, Switzerland.
F MeheusInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
J GoudgeCentre for Health Policy, Wits University, Johannesburg, South Africa.
K OboirienCentre for Health Policy, Wits University, Johannesburg, South Africa.
A KuwawenaruwaIfakara Health Institute, Dar es Salaam, Tanzania.

Funding

World Health Organization 001
6 · The paper itself

Abstract

A health system's ability to deliver quality health care depends on the availability of motivated health workers, which are insufficient in many low income settings. Increasing policy and researcher attention is directed towards understanding what drives health worker motivation and how different policy interventions affect motivation, as motivation is key to performance and quality of care outcomes. As a result, there is growing interest among researchers in measuring motivation within health worker surveys. However, there is currently limited guidance on how to conceptualize and approach measurement and how to validate or analyse motivation data collected from health worker surveys, resulting in inconsistent and sometimes poor quality measures. This paper begins by discussing how motivation can be conceptualized, then sets out the steps in developing questions to measure motivation within health worker surveys and in ensuring data quality through validity and reliability tests. The paper also discusses analysis of the resulting motivation measure/s. This paper aims to promote high quality research that will generate policy relevant and useful evidence.

Indexed as

Attitude of Health PersonnelMotivationDeveloping CountriesHealth PersonnelHumansPsychological TheoryQuality of Health CareSalaries and Fringe BenefitsSurveys and Questionnairesanalysishealth workermeasurement scaleMotivation

Identifiers

PMID29165641
PMCPMC5886192

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.