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How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study

BACKGROUND: In recent years, the information environment for patients to learn about physician quality is being rapidly changed by Web-based ratings from both commercial and government efforts. However, little is known about how various types of Web-based ratings affect individuals’ choice of physic...

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Autores principales: Yaraghi, Niam, Wang, Weiguang, Gao, Guodong (Gordon), Agarwal, Ritu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891665/
https://www.ncbi.nlm.nih.gov/pubmed/29581091
http://dx.doi.org/10.2196/jmir.8986
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author Yaraghi, Niam
Wang, Weiguang
Gao, Guodong (Gordon)
Agarwal, Ritu
author_facet Yaraghi, Niam
Wang, Weiguang
Gao, Guodong (Gordon)
Agarwal, Ritu
author_sort Yaraghi, Niam
collection PubMed
description BACKGROUND: In recent years, the information environment for patients to learn about physician quality is being rapidly changed by Web-based ratings from both commercial and government efforts. However, little is known about how various types of Web-based ratings affect individuals’ choice of physicians. OBJECTIVE: The objective of this research was to measure the relative importance of Web-based quality ratings from governmental and commercial agencies on individuals’ choice of primary care physicians. METHODS: In a choice-based conjoint experiment conducted on a sample of 1000 Amazon Mechanical Turk users in October 2016, individuals were asked to choose their preferred primary care physician from pairs of physicians with different ratings in clinical and nonclinical aspects of care provided by governmental and commercial agencies. RESULTS: The relative log odds of choosing a physician increases by 1.31 (95% CI 1.26-1.37; P<.001) and 1.32 (95% CI 1.27-1.39; P<.001) units when the government clinical ratings and commercial nonclinical ratings move from 2 to 4 stars, respectively. The relative log odds of choosing a physician increases by 1.12 (95% CI 1.07-1.18; P<.001) units when the commercial clinical ratings move from 2 to 4 stars. The relative log odds of selecting a physician with 4 stars in nonclinical ratings provided by the government is 1.03 (95% CI 0.98-1.09; P<.001) units higher than a physician with 2 stars in this rating. The log odds of selecting a physician with 4 stars in nonclinical government ratings relative to a physician with 2 stars is 0.23 (95% CI 0.13-0.33; P<.001) units higher for females compared with males. Similar star increase in nonclinical commercial ratings increases the relative log odds of selecting the physician by female respondents by 0.15 (95% CI 0.04-0.26; P=.006) units. CONCLUSIONS: Individuals perceive nonclinical ratings provided by commercial websites as important as clinical ratings provided by government websites when choosing a primary care physician. There are significant gender differences in how the ratings are used. More research is needed on whether patients are making the best use of different types of ratings, as well as the optimal allocation of resources in improving physician ratings from the government’s perspective.
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spelling pubmed-58916652018-04-16 How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study Yaraghi, Niam Wang, Weiguang Gao, Guodong (Gordon) Agarwal, Ritu J Med Internet Res Original Paper BACKGROUND: In recent years, the information environment for patients to learn about physician quality is being rapidly changed by Web-based ratings from both commercial and government efforts. However, little is known about how various types of Web-based ratings affect individuals’ choice of physicians. OBJECTIVE: The objective of this research was to measure the relative importance of Web-based quality ratings from governmental and commercial agencies on individuals’ choice of primary care physicians. METHODS: In a choice-based conjoint experiment conducted on a sample of 1000 Amazon Mechanical Turk users in October 2016, individuals were asked to choose their preferred primary care physician from pairs of physicians with different ratings in clinical and nonclinical aspects of care provided by governmental and commercial agencies. RESULTS: The relative log odds of choosing a physician increases by 1.31 (95% CI 1.26-1.37; P<.001) and 1.32 (95% CI 1.27-1.39; P<.001) units when the government clinical ratings and commercial nonclinical ratings move from 2 to 4 stars, respectively. The relative log odds of choosing a physician increases by 1.12 (95% CI 1.07-1.18; P<.001) units when the commercial clinical ratings move from 2 to 4 stars. The relative log odds of selecting a physician with 4 stars in nonclinical ratings provided by the government is 1.03 (95% CI 0.98-1.09; P<.001) units higher than a physician with 2 stars in this rating. The log odds of selecting a physician with 4 stars in nonclinical government ratings relative to a physician with 2 stars is 0.23 (95% CI 0.13-0.33; P<.001) units higher for females compared with males. Similar star increase in nonclinical commercial ratings increases the relative log odds of selecting the physician by female respondents by 0.15 (95% CI 0.04-0.26; P=.006) units. CONCLUSIONS: Individuals perceive nonclinical ratings provided by commercial websites as important as clinical ratings provided by government websites when choosing a primary care physician. There are significant gender differences in how the ratings are used. More research is needed on whether patients are making the best use of different types of ratings, as well as the optimal allocation of resources in improving physician ratings from the government’s perspective. JMIR Publications 2018-03-26 /pmc/articles/PMC5891665/ /pubmed/29581091 http://dx.doi.org/10.2196/jmir.8986 Text en ©Niam Yaraghi, Weiguang Wang, Guodong (Gordon) Gao, Ritu Agarwal. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.03.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Yaraghi, Niam
Wang, Weiguang
Gao, Guodong (Gordon)
Agarwal, Ritu
How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title_full How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title_fullStr How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title_full_unstemmed How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title_short How Online Quality Ratings Influence Patients’ Choice of Medical Providers: Controlled Experimental Survey Study
title_sort how online quality ratings influence patients’ choice of medical providers: controlled experimental survey study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891665/
https://www.ncbi.nlm.nih.gov/pubmed/29581091
http://dx.doi.org/10.2196/jmir.8986
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