Evidence map›Paper›PMID 31023372›Full record

ArticleHuman resources for health2019

For more than money: willingness of health professionals to stay in remote Senegal.

Ayako Honda, Nicolas Krucien, Mandy Ryan, Ibrahima Ska Ndella Diouf, Malick Salla, Mari Nagai, Noriko Fujita

Open access · goldAbstract read
In one paragraph

Article in Human resources for health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  6. Conceptualising hardship areas in Sub-Saharan Africa: a scoping review.International journal for equity in health · 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

7 authors at 4 institutions in 3 countries.

Ayako HondaDepartment of Economics, Sophia University, 7-1 Kioi-cho, Chiyoda-ku, Tokyo, 102-8554, Japan. ayako-honda@sophia.ac.jp.ORCID 0000-0002-8655-632X
Nicolas KrucienHealth Economics Research Unit, University of Aberdeen, Scotland, UK.
Mandy RyanHealth Economics Research Unit, University of Aberdeen, Scotland, UK.
Ibrahima Ska Ndella DioufMinistère de la Santé et de l'Action Sociale du Sénégal, Dakar, Senegal.
Malick SallaMinistère de la Santé et de l'Action Sociale du Sénégal, Dakar, Senegal.
Mari NagaiNational Centre for Global Health and Medicine, Tokyo, Japan.
Noriko FujitaNational Centre for Global Health and Medicine, Tokyo, Japan.
Ministère de la Santé Publique et Action Sociale · SNNational Center for Global Health and Medicine · JPUniversity of Aberdeen · GBSophia University · JP

Funding

Chief Scientist Office HERU1Ministry of Health, Labour and Welfare (JP) H25-11
6 · The paper itself

Abstract

backgroundPoor distribution of already inadequate numbers of health professionals seriously constrains equitable access to health services in low- and middle-income countries. The Senegalese Government is currently developing policy to encourage health professionals to remain in areas defined as 'difficult'. Understanding health professional's preferences is crucial for this policy development.

methodsWorking with the Senegalese Government, a choice experiment (CE) was developed to elicit the job preferences of physicians and non-physicians. Attributes were defined using a novel mixed-methods approach, combining interviews and best-worst scaling (Case 1). Six attributes were categorised as 'individual (extrinsic) incentive' attributes ('type of contract', 'provision of training opportunities', 'provision of an allowance' and 'provision of accommodation') or 'functioning health system' attributes ('availability of basic equipment in health facilities' and 'provision of supportive supervision by health administrators'). Using face-to-face interviews, the CE was administered to 55 physicians (3909 observations) and 246 non-physicians (17 961 observations) randomly selected from those working in eight 'difficult' regions in Senegal. Conditional logit was used to analyse responses. This is the first CE to both explore the impact of contract type on rural retention and to estimate value of attributes in terms of willingness to stay (WTS) in current rural post.

resultsFor both physicians and non-physicians, a permanent contract is the most important determinant of rural job retention, followed by availability of equipment and provision of training opportunities. Retention probabilities suggest that policy reform affecting only a single attribute is unlikely to encourage health professionals to remain in 'difficult' regions. The relative importance of an allowance is low; however, the level of such financial incentives requires further investigation.

conclusionContract type is a key factor impacting on retention. This has led the Senegalese Health Ministry to introduce a new rural assignment policy that recruits permanent staff from the pool of annually contracted healthcare professionals on the condition that they take up rural posts. While this is a useful policy development, further efforts to retain rural health workers, considering both personal incentives and the functioning of health systems, are necessary to ensure health worker numbers are adequate to meet the needs of rural communities.

Indexed as

Developing CountriesFemaleHealth PersonnelHumansJob SatisfactionMaleModels, StatisticalPersonnel SelectionPhysiciansRural Health ServicesSalaries and Fringe BenefitsSenegalDiscrete choice experimentHuman resources for healthIncentivesLow- and middle-income countriesMotivationRural job retentionSenegal

Identifiers

PMID31023372
PMCPMC6485088
OpenAlexW2947289290

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.