What information do patients pay more attention to in online physician selection? Information needs model for online medical choice decision-making based on trust theory and fuzzy decision

IF 3.7 2区 医学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Medical Informatics Pub Date : 2024-11-23 DOI:10.1016/j.ijmedinf.2024.105723
Qinglian Lin , Xi Chen , Shuping Yang , Duojin Wang
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Abstract

Background

The development of information technology has reshaped the information flow process in traditional medical activities, giving rise to eHealth. In the context of Internet medical treatment, the massive and heterogeneous information available complicates and challenges patients’ online medical choices. Understanding which indicators on Internet medical platforms should be prioritized by ordinary patients is crucial for effective online medical decision-making.

Objective

To address these challenges, this paper introduces an information needs model for online physician selection tailored to experts with different medical preferences. This model aims to provide the methodological support for constructing user profiles on eHealth platforms and for medical service providers. In addition, this study seeks to introduce the strategies used by experts in online physician selection to provide clear guidance and suggestions for ordinary patients making online medical choices.

Method

This paper uses the “Hao Daifu” eHealth platform as the research setting, and selects experts based on their eHealth literacy and online physician selection experience. It describes individual’s preferences in online physician selection using interpersonal trust theory. Furthermore, the paper examines the eHealth platform indicators that experts focus on during the online physician selection process. The importance of these indicators is evaluated using the interval-valued intuitionistic fuzzy sets decision-making method.

Conclusion

This study presents a method for investigating the comprehensive information needs of patients’ online physician selection. The findings reveal that different patients prioritize different trust dimensions in the physician selection process. Patients mainly rely on hospital qualification indicators – such as grade, ownership, and type – when selecting hospitals. For evaluating doctors, they focus on doctor qualification indicators, represented by professional titles and doctor-patient interaction indicators, represented by efficacy satisfaction.
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患者在线选择医生时更关注哪些信息?基于信任理论和模糊决策的在线医疗选择决策信息需求模型
背景信息技术的发展重塑了传统医疗活动的信息流动过程,催生了电子医疗。在互联网医疗的背景下,海量、异构的信息使患者的在线医疗选择变得更加复杂和具有挑战性。为了应对这些挑战,本文针对不同医疗偏好的专家,介绍了一种在线医生选择的信息需求模型。该模型旨在为电子医疗平台和医疗服务提供商构建用户档案提供方法论支持。方法本文以 "好大夫 "电子健康平台为研究背景,根据专家的电子健康素养和在线选医经验选择专家。本文运用人际信任理论描述了个人在线选择医生的偏好。此外,论文还研究了专家在在线医生选择过程中关注的电子健康平台指标。结论本研究提出了一种调查患者在线选择医生的综合信息需求的方法。研究结果表明,不同患者在选择医生的过程中会优先考虑不同的信任维度。患者在选择医院时主要依赖医院的资质指标,如等级、所有制、类型等。在评价医生时,他们关注以职称为代表的医生资质指标和以疗效满意度为代表的医患互动指标。
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来源期刊
International Journal of Medical Informatics
International Journal of Medical Informatics 医学-计算机:信息系统
CiteScore
8.90
自引率
4.10%
发文量
217
审稿时长
42 days
期刊介绍: International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings. The scope of journal covers: Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.; Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc. Educational computer based programs pertaining to medical informatics or medicine in general; Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.
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