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Online selection of a physician by patients: the impression formation perspective
BACKGROUND: With the rapid development of online health communities (OHCs), an increasing number of physicians provide services in OHCs that enable patients to consult online in China. However, it is difficult for patients to figure out the professional level of doctors before consultation and diagn...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309235/ https://www.ncbi.nlm.nih.gov/pubmed/35879755 http://dx.doi.org/10.1186/s12911-022-01936-0 |
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author | Huang, Zhengwei Duan, Chen Yang, Yanni Khanal, Ribesh |
author_facet | Huang, Zhengwei Duan, Chen Yang, Yanni Khanal, Ribesh |
author_sort | Huang, Zhengwei |
collection | PubMed |
description | BACKGROUND: With the rapid development of online health communities (OHCs), an increasing number of physicians provide services in OHCs that enable patients to consult online in China. However, it is difficult for patients to figure out the professional level of doctors before consultation and diagnosis because of information asymmetry. A wealth of information about physicians is displayed in their profiles as a new way to help patients evaluate and select quickly and accurately. OBJECTIVE: This research explores how the profile information (PI) presented in OHCs influences patients' impression formation, especially the perception of professional capital (i.e., status capital and decisional capital). The impression influences their intention to consult further, which is partially mediated by the initial trust. The Toulmin’s model of argumentation is used to decide the strength of the argument presented in physicians’ homepage information and divide it into claim, data, and backing. METHODS: This study conducts an internet experiment and recruits 386 subjects through the internet to investigate the effect of impression formation on online selection behavior by a patient. RESULTS: The results show that the strength of argument has a significant positive association with the perception of professional capital. Perceptions of professional capital are highest when a fully composed argument (claim/data/backing) is included in a profile, with claim/data being the next highest and claim only the lowest. Recommendations from connections have the strongest impact. In turn, patients' selection decisions are influenced by their perception of professional capital, which is partially mediated by initial trust. CONCLUSIONS: This study is significant in terms of its implications for theory and practice. On the one hand, this research contributes to the online health community literature and suggests that the perception of professional capital on physicians should be pre-presumed and built based on the information before in-person interaction online. On the other hand, this study is helpful in understanding the effect of various components included in PI on perceiving physicians’ abilities, and not all information is equally important. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01936-0. |
format | Online Article Text |
id | pubmed-9309235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93092352022-07-25 Online selection of a physician by patients: the impression formation perspective Huang, Zhengwei Duan, Chen Yang, Yanni Khanal, Ribesh BMC Med Inform Decis Mak Research BACKGROUND: With the rapid development of online health communities (OHCs), an increasing number of physicians provide services in OHCs that enable patients to consult online in China. However, it is difficult for patients to figure out the professional level of doctors before consultation and diagnosis because of information asymmetry. A wealth of information about physicians is displayed in their profiles as a new way to help patients evaluate and select quickly and accurately. OBJECTIVE: This research explores how the profile information (PI) presented in OHCs influences patients' impression formation, especially the perception of professional capital (i.e., status capital and decisional capital). The impression influences their intention to consult further, which is partially mediated by the initial trust. The Toulmin’s model of argumentation is used to decide the strength of the argument presented in physicians’ homepage information and divide it into claim, data, and backing. METHODS: This study conducts an internet experiment and recruits 386 subjects through the internet to investigate the effect of impression formation on online selection behavior by a patient. RESULTS: The results show that the strength of argument has a significant positive association with the perception of professional capital. Perceptions of professional capital are highest when a fully composed argument (claim/data/backing) is included in a profile, with claim/data being the next highest and claim only the lowest. Recommendations from connections have the strongest impact. In turn, patients' selection decisions are influenced by their perception of professional capital, which is partially mediated by initial trust. CONCLUSIONS: This study is significant in terms of its implications for theory and practice. On the one hand, this research contributes to the online health community literature and suggests that the perception of professional capital on physicians should be pre-presumed and built based on the information before in-person interaction online. On the other hand, this study is helpful in understanding the effect of various components included in PI on perceiving physicians’ abilities, and not all information is equally important. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-01936-0. BioMed Central 2022-07-25 /pmc/articles/PMC9309235/ /pubmed/35879755 http://dx.doi.org/10.1186/s12911-022-01936-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Zhengwei Duan, Chen Yang, Yanni Khanal, Ribesh Online selection of a physician by patients: the impression formation perspective |
title | Online selection of a physician by patients: the impression formation perspective |
title_full | Online selection of a physician by patients: the impression formation perspective |
title_fullStr | Online selection of a physician by patients: the impression formation perspective |
title_full_unstemmed | Online selection of a physician by patients: the impression formation perspective |
title_short | Online selection of a physician by patients: the impression formation perspective |
title_sort | online selection of a physician by patients: the impression formation perspective |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309235/ https://www.ncbi.nlm.nih.gov/pubmed/35879755 http://dx.doi.org/10.1186/s12911-022-01936-0 |
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