Suppr超能文献

罗杰的创新扩散理论与患者门户网站数字病历收集工具的采用:MAiBest项目研究方案

Roger's diffusion of innovations theory and the adoption of a patient portal's digital anamnesis collection tool: study protocol for the MAiBest project.

作者信息

Wurster Florian, Di Gion Paola, Goldberg Nina, Hautsch Volker, Hefter Klara, Herrmann Christin, Langebartels Georg, Pfaff Holger, Karbach Ute

机构信息

Chair of Quality Development and Evaluation in Rehabilitation, Institute of Medical Sociology, Health Services Research and Rehabilitation Science, Faculty of Human Sciences & Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Department of Digital Clinical Systems, Clinical Affairs and Crisis Management Unit, University Hospital Cologne, Cologne, Germany.

出版信息

Implement Sci Commun. 2024 Jul 15;5(1):74. doi: 10.1186/s43058-024-00614-8.

Abstract

BACKGROUND

German hospitals are legally obliged to implement digital patient portals within the next years. Systematic reviews show that the use of patient portals may be associated with improved patient-centeredness and workflows. However, mandatory digital healthcare innovations are sometimes not used by the target group as planned or even completely rejected. Based on Roger's theory of innovation diffusion, it can be assumed that the time factor is of particular importance for the adoption of the patient portal. The aim of the project is to assess determinants of patient portal adoption and to examine whether Roger's theory can be confirmed.

METHODS

The project investigates the use of the patient portal in three different clinics of a large academic teaching hospital in Germany using a longitudinal study design with three cross-sectional time points (pre, post, post). Doctors and patients are surveyed about factors that predict the use of the patient portal and whether the strength of these factors changes over time. They are also interviewed about possible barriers they experience when using the patient portal or about the reasons why the patient portal is not used. Regression models and content analyses are used to answer the research questions.

DISCUSSION

Determinants of patient portal use will be discussed under the light of the temporal component of Roger's theory. At the same time, it is expected that some determinants will remain unchanged over time. Identifying determinants independent of time allows targeting the groups, enabling specific communication strategies to empower these groups to use the patient portal, contributing to an equal health care system.

TRIAL REGISTRATION

The study was prospectively registered in the German register of clinical trials (DRKS00033125) in May 2024.

摘要

背景

德国医院在法律上有义务在未来几年内实施数字患者门户。系统评价表明,使用患者门户可能与提高以患者为中心的程度和工作流程有关。然而,强制性的数字医疗创新有时并未按计划被目标群体使用,甚至被完全拒绝。基于罗杰斯的创新扩散理论,可以假设时间因素对于患者门户的采用尤为重要。该项目的目的是评估患者门户采用的决定因素,并检验罗杰斯的理论是否可以得到证实。

方法

该项目采用纵向研究设计,在德国一家大型学术教学医院的三个不同诊所调查患者门户的使用情况,设有三个横断面时间点(前、后、后)。对医生和患者进行调查,了解预测患者门户使用情况的因素,以及这些因素的强度是否随时间变化。还会就他们在使用患者门户时遇到的可能障碍或不使用患者门户的原因进行访谈。使用回归模型和内容分析来回答研究问题。

讨论

将根据罗杰斯理论的时间成分来讨论患者门户使用的决定因素。同时,预计一些决定因素会随时间保持不变。识别与时间无关的决定因素可以针对特定群体,制定具体的沟通策略,使这些群体能够使用患者门户,从而促进医疗保健系统的公平性。

试验注册

该研究于2024年5月在德国临床试验注册中心(DRKS00033125)进行了前瞻性注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a67/11247801/7643e58abad8/43058_2024_614_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验