Evidence map›Paper›PMID 32843524›Full record

ArticleBMJ global health2020

Which mechanisms explain motivation the of primary health workers? Insights from the realist evaluation of a maternal and child health programme in Nigeria.

Bassey Ebenso, Chinyere Mbachu, Enyi Etiaba, Reinhard Huss, Ana Manzano, Obinna Onwujekwe, Benjamin Uzochukwu, Nkoli Ezumah, Timothy Ensor, Joseph Paul Hicks and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 29 citations in OpenAlex.

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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

11 authors at 2 institutions in 3 countries.

Bassey EbensoNuffield Centre for International Health and Development, University of Leeds School of Medicine, Leeds, UK b.e.ebenso@leeds.ac.uk.ORCID 0000-0003-4147-0968
Chinyere MbachuHealth Policy Research Group, University of Nigeria Faculty of Medical Sciences, Nsukka, Enugu, Nigeria.
Enyi EtiabaHealth Policy Research Group, University of Nigeria Faculty of Medical Sciences, Nsukka, Enugu, Nigeria.
Reinhard HussLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Ana ManzanoSociology & Social Policy, University of Leeds School of Sociology and Social Policy, Leeds, UK.
Obinna OnwujekweHealth Policy Research Group, University of Nigeria Faculty of Medical Sciences, Nsukka, Enugu, Nigeria.
Benjamin UzochukwuHealth Policy Research Group, University of Nigeria Faculty of Medical Sciences, Nsukka, Enugu, Nigeria.
Nkoli EzumahFaculty of Social Sciences, University of Nigeria, Nsukka, Enugu, Nigeria.
Timothy EnsorNuffield Centre for International Health and Development, University of Leeds School of Medicine, Leeds, UK.ORCID 0000-0003-0279-9576
Joseph Paul HicksNuffield Centre for International Health and Development, University of Leeds School of Medicine, Leeds, UK.
Tolib MirzoevNuffield Centre for International Health and Development, University of Leeds School of Medicine, Leeds, UK.
University of Leeds · GBUniversity of Nigeria · NG

Funding

Medical Research Council MR/M01472X/1
6 · The paper itself

Abstract

introductionWell-trained, adequately skilled and motivated primary healthcare (PHC) workers are essential for attaining universal health coverage (UHC). While there is abundant literature on the drivers of workforce motivation, published knowledge on the mechanisms of motivation within different contexts is limited, particularly in resource-limited countries. This paper contributes to health workforce literature by reporting on how motivation works among PHC workers in a maternal and child health (MCH) programme in Nigeria.

methodsWe adopted a realist evaluation design combining document review with 56 in-depth interviews of PHC workers, facility managers and policy-makers to assess the impact of the MCH programme in Anambra State, Nigeria. A realist process of theory development, testing and consolidation was used to understand how and under what circumstances the MCH programme impacted on workers' motivation and which mechanisms explain how motivation works. We drew on Herzberg's two-factor and Adam's equity theories to unpack how context shapes worker motivation.

resultsA complex and dynamic interaction between the MCH programme and organisational and wider contexts triggered five mechanisms which explain PHC worker motivation: (1) feeling supported, (2) feeling comfortable with work environment, (3) feeling valued, (4) morale and confidence to perform tasks and (5) companionship. Some mechanisms were mutually reinforcing while others operated in parallel. Other conditions that enabled worker motivation were organisational values of fairness, recognition of workers' contributions and culture of task-sharing and teamwork.

conclusionsPolicy designs and management strategies for improving workforce performance, particularly in resource-constrained settings should create working environments that foster feelings of being valued and supported while enabling workers to apply their knowledge and skills to improve healthcare delivery and promote UHC. Future research can test the explanatory framework generated by this study and explore differences in motivational mechanisms among different cadres of PHC workers to inform cadre-related motivational interventions.

Indexed as

Health WorkforceMotivationChildChild HealthHealth PersonnelHumansNigeriachild healthhealth policyhealth systems evaluationmaternal healthqualitative study

Identifiers

PMID32843524
PMCPMC7449364
OpenAlexW3080253183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.