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设计一份离散选择实验问卷,以制定印度拉贾斯坦邦农村地区留住专科医生的卫生政策干预措施。

Developing a Discrete Choice Experiment Questionnaire to Design Health Policy Interventions for Rural Retention of Specialist Physicians in Rajasthan, India.

作者信息

Joshi Anushree, Panchamia Jallavi, Mavalankar Dileep

机构信息

Department of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.

出版信息

Cureus. 2024 Dec 20;16(12):e76073. doi: 10.7759/cureus.76073. eCollection 2024 Dec.

DOI:10.7759/cureus.76073
PMID:39835014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11743873/
Abstract

BACKGROUND

Understanding the preferences of specialist physicians is essential to mitigate their critical deficiency in the Indian rural healthcare system. This necessitates an urgent focus to inform health policy interventions imperative to address and strengthen the vacancies of specialist physicians in the Indian rural healthcare system. The policy interventions should address the preferences of specialists, leading to their intention to stay in rural postings. The paper aims to develop a questionnaire to assess specialist physicians' preferences for rural postings using a discrete choice experiment (DCE).

MATERIALS AND METHODS

A DCE is a widely utilized quantitative approach to understanding health workers' preferences, positing that individuals make trade-offs while selecting an alternative product or service that provides the most utility. This paper comprehensively explains the stages of developing the DCE questionnaire, which involves creating choice sets using various experimental designs to ascertain specialist physicians' preferences for rural postings.

RESULTS

The choice sets for the specified attributes and levels in the study were generated by mathematically combining hypothetical job scenarios using diverse experimental designs. The study employed a pairwise design for the mathematical combination of hypothetical job scenarios, yielding 90 unique choice sets with an equal likelihood of involvement across each of the six blocks. Consequently, each of the six blocks contained 15 distinct choice sets, administered to participants as six DCE questionnaire versions.

CONCLUSION

This paper outlines the creation of a DCE questionnaire aimed at elucidating the incentive preferences of specialist physicians in rural Rajasthan. It describes the development of diverse experimental designs and the creation of choice sets for the questionnaire's formulation. The objective is to offer a comprehensive guide for novice researchers, doctoral scholars, and health practitioners, imparting information and comprehending the intricacies involved in DCE questionnaire design, even if they are new to this research methodology.

摘要

背景

了解专科医生的偏好对于缓解印度农村医疗系统中他们严重短缺的问题至关重要。这就需要迫切关注,以便为卫生政策干预提供信息,这些干预对于解决和加强印度农村医疗系统中专科医生的空缺至关重要。政策干预应考虑专科医生的偏好,从而促使他们愿意留在农村岗位。本文旨在开发一份问卷,通过离散选择实验(DCE)来评估专科医生对农村岗位的偏好。

材料与方法

DCE是一种广泛使用的定量方法,用于了解卫生工作者的偏好,它假定个体在选择能提供最大效用的替代产品或服务时会进行权衡。本文全面解释了开发DCE问卷的各个阶段,其中包括使用各种实验设计创建选择集,以确定专科医生对农村岗位的偏好。

结果

通过使用不同的实验设计对假设的工作场景进行数学组合,生成了研究中指定属性和水平的选择集。该研究采用成对设计对假设的工作场景进行数学组合,产生了90个独特的选择集,在六个组块中的每一个组块中被选中的可能性相同。因此,六个组块中的每一个都包含15个不同的选择集,作为六个DCE问卷版本提供给参与者。

结论

本文概述了一份旨在阐明拉贾斯坦邦农村地区专科医生激励偏好的DCE问卷的创建过程。它描述了多种实验设计的开发以及为问卷制定而创建的选择集。目的是为新手研究人员、博士学者和卫生从业者提供一份全面的指南,传授信息并帮助他们理解DCE问卷设计中涉及的复杂性,即使他们对这种研究方法不熟悉。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ecc/11743873/8474c5cd6a11/cureus-0016-00000076073-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ecc/11743873/8474c5cd6a11/cureus-0016-00000076073-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ecc/11743873/8474c5cd6a11/cureus-0016-00000076073-i01.jpg

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本文引用的文献

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Size, composition and distribution of health workforce in India: why, and where to invest?印度卫生人力的规模、构成和分布:为什么投资?以及投资何处?
Hum Resour Health. 2021 Mar 22;19(1):39. doi: 10.1186/s12960-021-00575-2.
2
Discrete Choice Experiments in Health Economics: Past, Present and Future.健康经济学中的离散选择实验:过去、现在和未来。
Pharmacoeconomics. 2019 Feb;37(2):201-226. doi: 10.1007/s40273-018-0734-2.
3
How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity.
离散选择实验在多大程度上能够预测健康选择?系统评价和元分析的外部有效性。
Eur J Health Econ. 2018 Nov;19(8):1053-1066. doi: 10.1007/s10198-018-0954-6. Epub 2018 Jan 29.
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Nominal group technique to select attributes for discrete choice experiments: an example for drug treatment choice in osteoporosis.用于离散选择实验属性选择的名义组技术:骨质疏松症药物治疗选择的一个例子
Patient Prefer Adherence. 2013;7:133-9. doi: 10.2147/PPA.S38408. Epub 2013 Feb 7.
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So many, yet few: Human resources for health in India.如此之多,却又如此之少:印度的卫生人力。
Hum Resour Health. 2012 Aug 13;10:19. doi: 10.1186/1478-4491-10-19.
6
Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations.运用定性方法进行离散选择实验的属性开发:问题与建议。
Health Econ. 2012 Jun;21(6):730-41. doi: 10.1002/hec.1739. Epub 2011 May 6.
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Indian approaches to retaining skilled health workers in rural areas.印度在农村留住熟练卫生工作者的方法。
Bull World Health Organ. 2011 Jan 1;89(1):73-7. doi: 10.2471/BLT.09.070862. Epub 2010 Nov 1.
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Conducting discrete choice experiments to inform healthcare decision making: a user's guide.开展离散选择实验以辅助医疗保健决策:用户指南
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Staffing remote rural areas in middle- and low-income countries: a literature review of attraction and retention.中低收入国家偏远农村地区的人员配备:关于吸引和留住人才的文献综述
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