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使用设计-获取-过程-模型-分析-可视化框架揭示社交媒体中患者报告的医疗保健体验。

Revealing patient-reported experiences in healthcare from social media using thedesign-acquire-process-model-analyse-visualise framework.

作者信息

Murray Curtis, Mitchell Lewis, Tuke Jonathan, Mackay Mark

机构信息

School of Mathematical Sciences, The University of Adelaide, Adelaide, SA, Australia.

College of Public Heath, Medical and Veterinary Scienc, James Cook University, Townsville, QLD, Australia.

出版信息

Digit Health. 2024 May 15;10:20552076241251715. doi: 10.1177/20552076241251715. eCollection 2024 Jan-Dec.

Abstract

Understanding patient experience in healthcare is increasingly important and desired by medical professionals in a patient-centred care approach. Healthcare discourse on social media presents an opportunity to gain a unique perspective on patient-reported experiences, complementing traditional survey data. These social media reports often appear as first-hand accounts of patients' journeys through the healthcare system, whose details extend beyond the confines of structured surveys and at a far larger scale than focus groups. However, in contrast with the vast presence of patient-experience data on social media and the potential benefits the data offers, it attracts comparatively little research attention due to the technical proficiency required for text analysis. In this article, we introduce the design-acquire-process-model-analyse-visualise framework to provide an overview of techniques and an approach to capture patient-reported experiences from social media data. We apply this framework in a case study on prostate cancer data from /r/ProstateCancer, demonstrate the framework's value in capturing specific aspects of patient concern (such as sexual dysfunction), provide an overview of the discourse, and show narrative and emotional progression through these stories. We anticipate this framework to apply to a wide variety of areas in healthcare, including capturing and differentiating experiences across minority groups, geographic boundaries, and types of illnesses.

摘要

在以患者为中心的医疗模式下,了解患者在医疗保健中的体验变得越来越重要,这也是医学专业人员所期望的。社交媒体上的医疗保健话题为获取患者报告的体验提供了一个独特视角,对传统调查数据起到补充作用。这些社交媒体报告通常呈现为患者在医疗系统中就医过程的第一手记录,其细节超出了结构化调查的范围,且规模比焦点小组大得多。然而,与社交媒体上大量的患者体验数据及其潜在益处形成对比的是,由于文本分析需要专业技术,它吸引的研究关注相对较少。在本文中,我们介绍了设计 - 获取 - 处理 - 建模 - 分析 - 可视化框架,以概述从社交媒体数据中捕捉患者报告体验的技术和方法。我们将此框架应用于一项关于来自/r/ProstateCancer(前列腺癌)的前列腺癌数据的案例研究,展示该框架在捕捉患者关注的特定方面(如性功能障碍)的价值,概述相关话题,并呈现这些故事中的叙事和情感发展。我们预计该框架将适用于医疗保健的广泛领域,包括捕捉和区分不同少数群体、地理区域以及疾病类型的体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a0c/11097732/a22d226096fa/10.1177_20552076241251715-fig1.jpg

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