A Fuzzy Trust Measurement Method Considering Patients' Trust Opinions in Internet Plus Healthcare

Overview

Journal Procedia Comput Sci

Publisher Elsevier

Date 2022 Oct 24

PMID 36275364

Authors

Jin Yin

Xunan Cao

Boyu Zhang

Mei Zeng

Affiliations

Soon will be listed here.

Abstract

With the outbreak of COVID-19, Internet plus Healthcare has developed rapidly with a number of Internet plus Healthcare platforms emerging. The problem of doctor-patient trust is a key issue restricting the development of the Internet plus Healthcare, which has aroused extensive attention of scholars. The patient's perceived trust on the Internet plus Healthcare platform has the characteristics of subjectivity, ambiguity, and high perceived risk. Therefore, existing trust calculation method becomes inapplicable because these characteristics have not been considered. In order to solve this problem, this study extracts influencing factors of patient trust on the Internet plus Healthcare platform, gives a trust calculation method based on intuitionistic fuzzy set theory, and added a risk preference coefficient in order to integrate the characteristics of patients' high perceived risk into the proposed method. This method is conducive to the platform to provide patients with more accurate doctor recommendations.

References

Simonds V, Goins R, Krantz E, Garroutte E . Cultural identity and patient trust among older American Indians. J Gen Intern Med. 2013; 29(3):500-6. PMC: 3930784. DOI: 10.1007/s11606-013-2578-y. View

Thom D, Ribisl K, Stewart A, Luke D . Further validation and reliability testing of the Trust in Physician Scale. The Stanford Trust Study Physicians. Med Care. 1999; 37(5):510-7. DOI: 10.1097/00005650-199905000-00010. View

Hamelin N, Nikolis A, Armano J, Harris P, Brutus J . Evaluation of factors influencing confidence and trust in the patient-physician relationship: a survey of patient in a hand clinic. Chir Main. 2012; 31(2):83-90. DOI: 10.1016/j.main.2012.01.005. View

Bachinger S, Kolk A, Smets E . Patients' trust in their physician--psychometric properties of the Dutch version of the "Wake Forest Physician Trust Scale". Patient Educ Couns. 2009; 76(1):126-31. DOI: 10.1016/j.pec.2008.11.020. View

Peng Y, Yin P, Deng Z, Wang R . Patient-Physician Interaction and Trust in Online Health Community: The Role of Perceived Usefulness of Health Information and Services. Int J Environ Res Public Health. 2019; 17(1). PMC: 6981828. DOI: 10.3390/ijerph17010139. View

Gray B . Trust and trustworthy care in the managed care era. Health Aff (Millwood). 1997; 16(1):34-49. DOI: 10.1377/hlthaff.16.1.34. View

Cao Y, Zhang J, Ma L, Qin X, Li J . Examining User's Initial Trust Building in Mobile Online Health Community Adopting. Int J Environ Res Public Health. 2020; 17(11). PMC: 7312623. DOI: 10.3390/ijerph17113945. View

Anderson L, Dedrick R . Development of the Trust in Physician scale: a measure to assess interpersonal trust in patient-physician relationships. Psychol Rep. 1990; 67(3 Pt 2):1091-100. DOI: 10.2466/pr0.1990.67.3f.1091. View

McCartney M . Margaret McCartney: Trust the patient. BMJ. 2015; 350:h3181. DOI: 10.1136/bmj.h3181. View

10.

Wei D, Xu A, Wu X . The mediating effect of trust on the relationship between doctor-patient communication and patients' risk perception during treatment. Psych J. 2019; 9(3):383-391. DOI: 10.1002/pchj.327. View

11.

Kim Y . Trust in health information websites: A systematic literature review on the antecedents of trust. Health Informatics J. 2014; 22(2):355-69. DOI: 10.1177/1460458214559432. View

12.

Ommen O, Thuem S, Pfaff H, Janssen C . The relationship between social support, shared decision-making and patient's trust in doctors: a cross-sectional survey of 2,197 inpatients using the Cologne Patient Questionnaire. Int J Public Health. 2010; 56(3):319-27. DOI: 10.1007/s00038-010-0212-x. View

13.

Caterinicchio R . Testing plausible path models of interpersonal trust in patient-physician treatment relationships. Soc Sci Med Med Psychol Med Sociol. 1979; 13A(1):81-99. DOI: 10.1016/0160-7979(79)90011-0. View

14.

Mechanic D . The functions and limitations of trust in the provision of medical care. J Health Polit Policy Law. 1998; 23(4):661-86. DOI: 10.1215/03616878-23-4-661. View

15.

Boulware L, Cooper L, Ratner L, LaVeist T, Powe N . Race and trust in the health care system. Public Health Rep. 2003; 118(4):358-65. PMC: 1497554. DOI: 10.1093/phr/118.4.358. View

16.

Sbaffi L, Rowley J . Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. J Med Internet Res. 2017; 19(6):e218. PMC: 5495972. DOI: 10.2196/jmir.7579. View

17.

Lee Y, Lin J . The effects of trust in physician on self-efficacy, adherence and diabetes outcomes. Soc Sci Med. 2009; 68(6):1060-8. DOI: 10.1016/j.socscimed.2008.12.033. View

18.

Gong Z, Han Z, Li X, Yu C, Reinhardt J . Factors Influencing the Adoption of Online Health Consultation Services: The Role of Subjective Norm, Trust, Perceived Benefit, and Offline Habit. Front Public Health. 2019; 7:286. PMC: 6787145. DOI: 10.3389/fpubh.2019.00286. View

19.

Hoque M . An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern. BMC Med Inform Decis Mak. 2016; 16:51. PMC: 4853850. DOI: 10.1186/s12911-016-0289-0. View

20.

Du L, Xu J, Chen X, Zhu X, Zhang Y, Wu R . Rebuild doctor-patient trust in medical service delivery in China. Sci Rep. 2020; 10(1):21956. PMC: 7738514. DOI: 10.1038/s41598-020-78921-y. View