Evidence map›Paper›PMID 34153075›Full record

ArticlePloS one2021

Analysis of policy interventions to attract and retain nurse midwives in rural areas of Malawi: A discrete choice experiment.

Leslie Berman, Levison Nkhoma, Margaret Prust, Courtney McKay, Mihereteab Teshome, Dumisani Banda, Dalitso Kabambe, Andrews Gunda

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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  5. Job preference of nurse practitioners: A simulation approach.International journal of nursing studies advances · 2025
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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

8 authors.

Leslie BermanClinton Health Access Initiative, Inc. (CHAI) Malawi, Lilongwe, Malawi.ORCID 0000-0003-3837-7041
Levison NkhomaClinton Health Access Initiative, Inc. (CHAI) Malawi, Lilongwe, Malawi.
Margaret PrustAnalytics and Implementation Research Team, Clinton Health Access Initiative, Inc. (CHAI), Boston, Massachusetts, United States of America.
Courtney McKayAnalytics and Implementation Research Team, Clinton Health Access Initiative, Inc. (CHAI), Boston, Massachusetts, United States of America.
Mihereteab TeshomeClinton Health Access Initiative, Inc. (CHAI) Malawi, Lilongwe, Malawi.
Dumisani BandaDepartment of Human Resource Management and Development, Ministry of Health and Population, Lilongwe, Malawi.
Dalitso KabambeDepartment of Planning and Policy Development, Ministry of Health and Population, Lilongwe, Malawi.
Andrews GundaClinton Health Access Initiative, Inc. (CHAI) Malawi, Lilongwe, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInadequate and unequal distribution of health workers are significant barriers to provision of health services in Malawi, and challenges retaining health workers in rural areas have limited scale-up initiatives. This study therefore aims to estimate cost-effectiveness of monetary and non-monetary strategies in attracting and retaining nurse midwife technicians (NMTs) to rural areas of Malawi.

methodsThe study uses a discrete choice experiment (DCE) methodology to investigate importance of job characteristics, probability of uptake, and intervention costs. Interviews and focus groups were conducted with NMTs and students to identify recruitment and retention motivating factors. Through policymaker consultations, qualitative findings were used to identify job attributes for the DCE questionnaire, administered to 472 respondents. A conditional logit regression model was developed to produce probability of choosing a job with different attributes and an uptake rate was calculated to estimate the percentage of health workers that would prefer jobs with specific intervention packages. Attributes were costed per health worker year.

resultsQualitative results highlighted housing, facility quality, management, and workload as important factors in job selection. Respondents were 2.04 times as likely to choose a rural job if superior housing was provided compared to no housing (CI 1.71-2.44, p<0.01), and 1.70 times as likely to choose a rural job with advanced facility quality (CI 1.47-1.96, p<0.01). At base level 43.9% of respondents would choose a rural job. This increased to 61.5% if superior housing was provided, and 72.5% if all facility-level improvements were provided, compared to an urban job without these improvements. Facility-level interventions had the lowest cost per health worker year.

conclusionsOur results indicate housing and facility-level improvements have the greatest impact on rural job choice, while also creating longer-term improvements to health workers' living and working environments. These results provide practical evidence for policymakers to support development of workforce recruitment and retention strategies.

Indexed as

Career ChoiceHealth PolicyAdultCost-Benefit AnalysisFemaleFocus GroupsHumansInterviews as TopicMalawiMaleMotivationNurse MidwivesPersonnel SelectionPersonnel TurnoverRural Health Services

Identifiers

PMID34153075
PMCPMC8216531

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.