Doctor’s preference in providing medical service for patients in the medical alliance: a pilot discrete choice experiment

Richard Huan Xu (Corresponding Author), Lingming Zhou, Yong Li, Dong Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital location) and corresponding levels, which were combined to create 24 profiles that were randomly presented to participants. A conditional logit model was then employed to calculate utility scores for all profiles. A total of 311 doctors completed the DCE questionnaire. The coefficients for each level within the three attributes were ordered and found to be statistically significant. Working time had the greatest influence on utility scores, increasing by one hour per week (beta = 1.4, odds ratio (OR) = 4.07, p < 0.001), followed by income, which increased by 30% per month (beta = 1.19, OR = 3.3, p < 0.001). The utility scores for all profiles ranged between −0.27 and 3.07. Findings indicated that participants made trade-offs with respect to providing extra services within their MAs. Furthermore, utility varied between different subpopulations.

Original languageEnglish
Article number2215
JournalInternational Journal of Environmental Research and Public Health
Volume17
Issue number7
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Doctor preference
  • Healthcare
  • Medical alliance

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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