Development and validation of a multi-dimensional scale to assess community health worker motivation.


Journal

Journal of global health
ISSN: 2047-2986
Titre abrégé: J Glob Health
Pays: Scotland
ID NLM: 101578780

Informations de publication

Date de publication:
10 Mar 2021
Historique:
entrez: 25 3 2021
pubmed: 26 3 2021
medline: 19 8 2021
Statut: epublish

Résumé

Ensuring that Community Health Workers (CHWs) are motivated is critical to their performance, retention and well-being - and ultimately to the effectiveness of community health systems worldwide. While CHW motivation is as multi-dimensional construct, there is no multi-dimensional measure available to guide programming. In this study, we developed and validated a pragmatic, multi-dimensional measure of CHW motivation. Scale validation entailed qualitative and survey research in Mali and Bangladesh. We developed a pool of work satisfaction items as well as several items assessing the importance of hypothesized sub-dimensions of motivation, based on the literature and expert consultations. Qualitative research helped finalize scale sub-dimensions and items. We tested the scale in surveys with CHWs in Mali (n = 152, 40% female, mean age 32) and Bangladesh (n = 76 women, mean age 46). We applied a split-sample exploratory/confirmatory factor analysis (EFA/CFA) in Mali, and EFA in Bangladesh, then assessed reliability. We also gauged convergent/predictive validity, assessing associations between scale scores with conceptually related variables. The final 22-item scale has four sub-dimensions: We found that the Multi-dimensional Motivation (MM) scale for CHWs is a valid and reliable measure that comprehensively assesses motivation. We recommend the scale be employed in future research around CHW performance and community health systems strengthening worldwide. The scale should be further evaluated within longitudinal studies assessing CHW performance and retention outcomes over time.

Sections du résumé

BACKGROUND BACKGROUND
Ensuring that Community Health Workers (CHWs) are motivated is critical to their performance, retention and well-being - and ultimately to the effectiveness of community health systems worldwide. While CHW motivation is as multi-dimensional construct, there is no multi-dimensional measure available to guide programming. In this study, we developed and validated a pragmatic, multi-dimensional measure of CHW motivation.
METHODS METHODS
Scale validation entailed qualitative and survey research in Mali and Bangladesh. We developed a pool of work satisfaction items as well as several items assessing the importance of hypothesized sub-dimensions of motivation, based on the literature and expert consultations. Qualitative research helped finalize scale sub-dimensions and items. We tested the scale in surveys with CHWs in Mali (n = 152, 40% female, mean age 32) and Bangladesh (n = 76 women, mean age 46). We applied a split-sample exploratory/confirmatory factor analysis (EFA/CFA) in Mali, and EFA in Bangladesh, then assessed reliability. We also gauged convergent/predictive validity, assessing associations between scale scores with conceptually related variables.
RESULTS RESULTS
The final 22-item scale has four sub-dimensions:
CONCLUSIONS CONCLUSIONS
We found that the Multi-dimensional Motivation (MM) scale for CHWs is a valid and reliable measure that comprehensively assesses motivation. We recommend the scale be employed in future research around CHW performance and community health systems strengthening worldwide. The scale should be further evaluated within longitudinal studies assessing CHW performance and retention outcomes over time.

Identifiants

pubmed: 33763222
doi: 10.7189/jogh.11.07008
pii: jogh-11-07008
pmc: PMC7957275
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

07008

Informations de copyright

Copyright © 2021 by the Journal of Global Health. All rights reserved.

Déclaration de conflit d'intérêts

Competing interests: The authors completed the ICMJE Unified Competing Interest form (available upon request from the corresponding author), and declare no conflicts of interest.

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Auteurs

Ann Gottert (A)

Population Council, Washington D.C. & New York, New York, USA.

Tracy L McClair (TL)

Population Council, Washington D.C. & New York, New York, USA.

Sharif Hossain (S)

Population Council, Dhaka, Bangladesh.

Sina Pascal Dakouo (SP)

Aga Khan Foundation, Mopti, Mali.

Tim Abuya (T)

Population Council, Nairobi, Kenya.

Karen Kirk (K)

Population Council, Washington D.C. & New York, New York, USA.

Ben Bellows (B)

Population Council, Washington D.C. & New York, New York, USA.

Smisha Agarwal (S)

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Sarah Kennedy (S)

Population Council, Washington D.C. & New York, New York, USA.

Charlotte Warren (C)

Population Council, Washington D.C. & New York, New York, USA.

Pooja Sripad (P)

Population Council, Washington D.C. & New York, New York, USA.

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Classifications MeSH