Factors influencing primary care physicians recommending patients to use digital health technologies for self-management: A cross-sectional study across 20 countries.

IF 2.5 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
European Journal of General Practice Pub Date : 2025-12-01 Epub Date: 2025-09-15 DOI:10.1080/13814788.2025.2555819
Wuraola Oluwayomi Odunlami, Edmond Li, Geva Greenfield, Gabriele Kerr, Austen El-Osta, Rosy Tsopra, Heidrun Lingner, Ensieh Memarian, Robert Hoffman, Katarzyna Nessler, Geronimo Jimenez, Claire Collins, Davorina Petek, Ana Clavería, Maria José Fernández, Gustavo Gusso, Mehmet Ungan, Greg Irving, Liliana Laranjo, Saira Ghafur, Gianluca Fontana, Josip Car, Benedict Hayhoe, Azeem Majeed, Ana Luisa Neves
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引用次数: 0

Abstract

Background: Expanding access to self-management via Digital Health Technologies may supplement traditional care, mitigating pressures on primary care through self-management. Primary Care Physicians (PCP) can play a critical role in the integration of digital health technologies into patient care, but it is unclear what factors influence PCPs' recommendation of such technologies.

Aims: To identify the factors associated with PCPs recommending digital health technologies to patients for self-management before and during the pandemic.

Methods: PCPs across 20 countries completed an online questionnaire between June and September 2020. The outcome was a self-report of recommending patients to at least one of six listed forms of digital health technologies. Univariable logistic regression models were performed to explore factors associated with recommending digital health technologies to patients before and during the pandemic.

Results: 1,592 PCPs were included. Before the pandemic, the odds of recommending digital health technologies for self-management were lower for PCPs not involved in teaching, or practising in Turkey, Australia, Chile, Colombia, France, Italy, Poland, Portugal, Slovenia, and Spain. During the pandemic, PCPs practising in rural settings had higher odds of starting to recommend digital health technologies, as well as those from Brazil, Colombia, and Italy. There was no significant difference in recommending digital health technologies before and during the pandemic.

Conclusions: Involvement in teaching (pre-pandemic) and practising in a rural setting (during the pandemic) positively influenced the recommendation of digital health technologies. Significant variation in recommending digital health technologies was present across countries.

Abstract Image

影响初级保健医生推荐患者使用数字健康技术进行自我管理的因素:一项横跨20个国家的横断面研究。
背景:通过数字卫生技术扩大自我管理的可及性可以补充传统保健,通过自我管理减轻初级保健的压力。初级保健医生(PCP)可以在将数字卫生技术整合到患者护理中发挥关键作用,但目前尚不清楚是什么因素影响了PCP对此类技术的推荐。目的:确定与pcp在大流行之前和期间向患者推荐数字卫生技术进行自我管理相关的因素。方法:20个国家的pcp在2020年6月至9月期间完成了一份在线问卷。结果是一份自我报告,向患者推荐六种数字医疗技术中的至少一种。采用单变量logistic回归模型探讨在大流行之前和期间向患者推荐数字卫生技术的相关因素。结果:共纳入1592个pcp。在大流行之前,在土耳其、澳大利亚、智利、哥伦比亚、法国、意大利、波兰、葡萄牙、斯洛文尼亚和西班牙,不参与教学或执业的pcp推荐数字卫生技术进行自我管理的几率较低。在大流行期间,在农村地区执业的pcp开始推荐数字卫生技术的几率更高,巴西、哥伦比亚和意大利的pcp也是如此。在大流行之前和期间推荐数字卫生技术方面没有显著差异。结论:参与教学(大流行前)和在农村环境中实践(大流行期间)对数字卫生技术的推荐产生了积极影响。各国在推荐数字卫生技术方面存在显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of General Practice
European Journal of General Practice PRIMARY HEALTH CARE-MEDICINE, GENERAL & INTERNAL
CiteScore
5.10
自引率
5.90%
发文量
31
审稿时长
>12 weeks
期刊介绍: The EJGP aims to: foster scientific research in primary care medicine (family medicine, general practice) in Europe stimulate education and debate, relevant for the development of primary care medicine in Europe. Scope The EJGP publishes original research papers, review articles and clinical case reports on all aspects of primary care medicine (family medicine, general practice), providing new knowledge on medical decision-making, healthcare delivery, medical education, and research methodology. Areas covered include primary care epidemiology, prevention, diagnosis, pharmacotherapy, non-drug interventions, multi- and comorbidity, palliative care, shared decision making, inter-professional collaboration, quality and safety, training and teaching, and quantitative and qualitative research methods.
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