中国医生个人偏好及采用移动应用程序与患者沟通的情况:定性研究。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-06-10 DOI:10.2196/49040
Dongjin Chen, Wenchao Han, Yili Yang, Jay Pan
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引用次数: 0

摘要

背景:不同类型的移动应用程序被用于促进患者与医生之间的沟通。已有研究调查了患者采用移动应用程序的行为;然而,这些研究对医生在各种移动应用程序选择中的个人偏好提供的洞察有限:本研究旨在调查中国医生在医疗保健领域采用移动应用程序的细微差别,并探讨影响他们选择特定移动应用程序的制约因素。本文探讨了三个研究问题:(1) 哪些医生选择采用移动应用程序与患者沟通?(2) 他们选择哪些类型的移动应用程序?(3) 在采用特定移动应用程序时,他们在多大程度上行使了个人选择权?杭州因其在社会服务(包括医疗服务)中采用移动技术的先进水平而备受赞誉,我们采用专题内容分析法对杭州的 11 名医生进行了半结构式访谈。参与者的选择具有目的性,包括不同的科室和医院:数据分析共产生了 5 个主题。首先,受访者有多种选择通过移动应用程序与患者沟通,其中最主要的是社交网络应用程序(如微信)和医疗平台(如 Haodf)。其次,所有受访者都使用微信来促进与患者的沟通,尽管他们分享个人账户的意愿各不相同(他们更愿意与信任的中间人分享)。第三,采用医疗平台的医生不到一半,而且他们都来自三级医院。第四,受访者对面对面交流、微信交流或医疗平台交流的偏好反映了他们对不同患者群体的看法。最后,医生选择特定类型的移动应用程序在很大程度上受到他们与医院隶属关系的影响,这是因为他们有职业义务完成医院分配的多项任务,或有必要与同事保持社交联系:我们的研究结果有助于深入了解医生采用特定类型移动应用程序与患者交流的行为,而不是把他们采用各种移动应用程序的行为等同看待。他们对特定类型应用程序的选择是在医疗政策(如公立医院资金有限、公立医疗机构占主导地位、缺乏健全的转诊系统)和传统文化(如基于社会关系的信任)在很大程度上影响其行为模式的社会背景下做出的。
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Doctors' Personal Preference and Adoption of Mobile Apps to Communicate with Patients in China: Qualitative Study.

Background: Different kinds of mobile apps are used to promote communications between patients and doctors. Studies have investigated patients' mobile app adoption behavior; however, they offer limited insights into doctors' personal preferences among a variety of choices of mobile apps.

Objective: This study aimed to investigate the nuanced adoption behaviors among doctors in China, which has a robust adoption of mobile apps in health care, and to explore the constraints influencing their selection of specific mobile apps. This paper addressed 3 research questions: (1) Which doctors opt to adopt mobile apps to communicate with patients? (2) What types of mobile apps do they choose? (3) To what degree do they exercise personal choice in adopting specific mobile apps?

Methods: We used thematic content analysis of qualitative data gathered from semistructured interviews with 11 doctors in Hangzhou, which has been recognized for its advanced adoption of mobile technology in social services, including health care services. The selection of participants was purposive, encompassing diverse departments and hospitals.

Results: In total, 5 themes emerged from the data analysis. First, the interviewees had a variety of options for communicating with patients via mobile apps, with the predominant ones being social networking apps (eg, WeChat) and medical platforms (eg, Haodf). Second, all interviewees used WeChat to facilitate communication with patients, although their willingness to share personal accounts varied (they are more likely to share with trusty intermediaries). Third, fewer than half of the doctors adopted medical platforms, and they were all from tertiary hospitals. Fourth, the preferences for in-person, WeChat, or medical platform communication reflected the interviewees' perceptions of different patient cohorts. Lastly, the selection of a particular kind of mobile app was significantly influenced by the doctors' affiliation with hospitals, driven by their professional obligations to fulfill multiple tasks assigned by the hospitals or the necessity of maintaining social connections with their colleagues.

Conclusions: Our findings contribute to a nuanced understanding of doctors' adoption behavior regarding specific types of mobile apps for patient communication, instead of addressing such adoption behavior of a wide range of mobile apps as equal. Their choices of a particular kind of app were positioned within a social context where health care policies (eg, limited funding for public hospitals, dominance of public health care institutions, and absence of robust referral systems) and traditional culture (eg, trust based on social connections) largely shape their behavioral patterns.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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