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Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment
OBJECTIVE: Doctor 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 int...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323362/ https://www.ncbi.nlm.nih.gov/pubmed/34326070 http://dx.doi.org/10.1136/bmjgh-2021-006001 |
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author | Angell, Blake Khan, Mushtaq Islam, Mir Raihanul Mandeville, Kate Naher, Nahitun Hutchinson, Eleanor McKee, Martin Ahmed, Syed Masud Balabanova, Dina |
author_facet | Angell, Blake Khan, Mushtaq Islam, Mir Raihanul Mandeville, Kate Naher, Nahitun Hutchinson, Eleanor McKee, Martin Ahmed, Syed Masud Balabanova, Dina |
author_sort | Angell, Blake |
collection | PubMed |
description | OBJECTIVE: Doctor 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. METHODS: We 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. RESULTS: All 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. CONCLUSION: Bangladeshi 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. |
format | Online Article Text |
id | pubmed-8323362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-83233622021-08-19 Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment Angell, Blake Khan, Mushtaq Islam, Mir Raihanul Mandeville, Kate Naher, Nahitun Hutchinson, Eleanor McKee, Martin Ahmed, Syed Masud Balabanova, Dina BMJ Glob Health Original Research OBJECTIVE: Doctor 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. METHODS: We 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. RESULTS: All 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. CONCLUSION: Bangladeshi 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. BMJ Publishing Group 2021-07-29 /pmc/articles/PMC8323362/ /pubmed/34326070 http://dx.doi.org/10.1136/bmjgh-2021-006001 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Angell, Blake Khan, Mushtaq Islam, Mir Raihanul Mandeville, Kate Naher, Nahitun Hutchinson, Eleanor McKee, Martin Ahmed, Syed Masud Balabanova, Dina Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title | Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title_full | Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title_fullStr | Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title_full_unstemmed | Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title_short | Incentivising doctor attendance in rural Bangladesh: a latent class analysis of a discrete choice experiment |
title_sort | incentivising doctor attendance in rural bangladesh: a latent class analysis of a discrete choice experiment |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323362/ https://www.ncbi.nlm.nih.gov/pubmed/34326070 http://dx.doi.org/10.1136/bmjgh-2021-006001 |
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