Evidence map›Paper›PMID 34326070›Full record

ArticleBMJ global health2021

Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment.

Blake Angell, Mushtaq Khan, Raihanul Islam, Kate Mandeville, Nahitun Naher, Eleanor Hutchinson, Martin McKee, Syed Masud Ahmed, Dina Balabanova

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

9 authors at 3 institutions in 3 countries.

Blake AngellHealth Systems Science, The George Institute for Global Health, UNSW Sydney, Sydney, New South Wales, Australia bangell@georgeinstitute.org.au.ORCID 0000-0002-7188-7740
Mushtaq KhanEconomics and Head of Anti-Corruption Evidence Research Partnership Consortium (ACE), SOAS, London, UK.ORCID 0000-0002-1145-0950
Raihanul IslamCentre of Excellence for Health Systems and Universal Health Coverage, James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0003-2125-2218
Kate MandevilleDepartment of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-5525-1574
Nahitun NaherCentre of Excellence for Health Systems and Universal Health Coverage, James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0002-7593-8613
Eleanor HutchinsonDepartment of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-9718-2407
Martin McKeeDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-0121-9683
Syed Masud AhmedCentre of Excellence for Health Systems and Universal Health Coverage, James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0001-5032-7181
Dina BalabanovaDepartment of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-7163-3428
London School of Hygiene & Tropical Medicine · GBBRAC University · BDUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDoctor absenteeism is widespread in Bangladesh, and the perspectives of the actors involved are insufficiently understood. This paper sought to elicit preferences of doctors over aspects of jobs in rural areas in Bangladesh that can help to inform the development of packages of policy interventions that may persuade them to stay at their posts.

methodsWe conducted a discrete choice experiment with 308 doctors across four hospitals in Dhaka, Bangladesh. Four attributes of rural postings were included based on a literature review, qualitative research and a consensus-building workshop with policymakers and key health-system stakeholders: relationship with the community, security measures, attendance-based policies and incentive payments. Respondents' choices were analysed with mixed multinomial logistic and latent class models and were used to simulate the likely uptake of jobs under different policy packages.

resultsAll attributes significantly impacted doctor choices (p<0.01). Doctors strongly preferred jobs at rural facilities where there was a supportive relationship with the community (β=0.93), considered good attendance in education and training (0.77) or promotion decisions (0.67), with functional security (0.67) and higher incentive payments (0.5 per 10% increase of base salary). Jobs with disciplinary action for poor attendance were disliked by respondents (-0.63). Latent class analysis identified three groups of doctors who differed in their uptake of jobs. Scenario modelling identified intervention packages that differentially impacted doctor behaviour and combinations that could feasibly improve doctors' attendance.

conclusionBangladeshi doctors have strong but varied preferences over interventions to overcome absenteeism. We generated evidence suggesting that interventions considering the perspective of the doctors themselves could result in substantial reductions in absenteeism. Designing policy packages that take account of the different situations facing doctors could begin to improve their ability and motivation to be present at their job and generate sustainable solutions to absenteeism in rural Bangladesh.

Indexed as

PhysiciansRural Health ServicesBangladeshHumansLatent Class AnalysisMotivationhealth policyhealth systems

Identifiers

PMID34326070
PMCPMC8323362
OpenAlexW3186111892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.