Evidence map›Paper›PMID 39835014›Full record

ArticleCureus2024

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

Anushree Joshi, Jallavi Panchamia, Dileep Mavalankar

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In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Anushree JoshiDepartment of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.
Jallavi PanchamiaDepartment of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.
Dileep MavalankarDepartment of Health Policy, Management and Behavioural Science, Indian Institute of Public Health Gandhinagar, Gandhinagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding 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

methodsA 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.

resultsThe 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.

conclusionThis 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.

Indexed as

choice setsdiscrete choice experiment questionnaireexperimental designsrural healthcare systemspecialist physicians

Identifiers

PMID39835014
PMCPMC11743873

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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.