Evidence map›Paper›PMID 39968477›Full record

ArticleMedical journal of the Islamic Republic of Iran2024

Discrete Choice Experiment in Evaluating Preferences for Physical Activity: A Mixed-Methods Study of Attributes and Their Levels.

Mohammad Veisi, Rajabali Daroudi, Ramin Kordi, Ali Akbari Sari

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Article in Medical journal of the Islamic Republic of Iran, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohammad VeisiDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Rajabali DaroudiDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ramin KordiSports Medicine Research Centre, Tehran University of Medical Sciences, Tehran, Iran.
Ali Akbari SariDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6933-4071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Discrete choice experiment (DCE) has become a leading method for evaluating health sector preferences. Despite its common use in evaluating physical activity (PA) preference, there is a lack of consensus on the optimal attribute and level, and this step often lacks rigorous documentation. This study aimed to identify suitable attributes and levels for a PA program for future application in DCE studies. Methods: This study used a mixed-method approach. Initially, a rapid review was performed using databases and search engines. The findings were then used for a 2-stage semi-structured interview for attribute addition and scoring. Finally, top-scoring attributes were selected, and a small expert panel determined their associated levels. Results: In our rapid review, from 8144 titles according to search strategy, 10 were selected for data extraction. After content analysis and integration of similar attributes, 12 were identified and 4 more were added from interviews. Using the opinions of the expert panel, the top 5 attributes were selected and a total of 22 levels were determined for these 5 attributes. The selected attributes included monthly cost, companions, distance, PA time, and PA type, with total scores of 150, 149, 147, 144, and 123, respectively. Conclusion: Our study identified 5 attributes and 22 corresponding levels as effective tools for measuring PA preferences using a DCE approach. As this is a pioneering study, further comprehensive research is recommended for improved outcomes.

Indexed as

Choice BehaviorExercisePhysical Activity

Identifiers

PMID39968477
PMCPMC11835406

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