Merolli Mark, Gray Kathleen, Martin-Sanchez Fernando
School of Health Sciences, Swinburne University of Technology, AUS.
Health and Biomedical Informatics Centre, The University of Melbourne, AUS.
Stud Health Technol Inform. 2018;247:606-610.
Research surrounding social media's impact on patient-reported health outcomes continues to emerge. However, an ongoing challenge for researchers is generating valid and reliable evidence that draws upon rigorous frameworks. This manuscript details the development and refinement of a framework that defines criteria and methods for generating and evaluating evidence about social media use in chronic disease management; the Therapeutic Affordances of Social Media (TASoMe) framework. TASoMe was built through the considered combination of mixed research methods and data collection instruments. It represents a systematic methodology for conducting research that brings together the key concepts of: therapeutic affordances, patient-reported outcomes, and evidence-based practice to generate evidence about health outcomes from social media use. Its key building blocks include: the key research concepts, research methods, and stakeholders standing to benefit from outcomes. TASoMe contributes to the field of participatory health informatics by offering a stringent and reliable model for advancing research and practice. It has begun to be independently validated across a range of health conditions, and has the potential to be applied to a range of participatory health informatics technologies.
围绕社交媒体对患者报告的健康结果影响的研究不断涌现。然而,研究人员面临的一个持续挑战是,如何依据严谨的框架生成有效且可靠的证据。本手稿详细介绍了一个框架的开发与完善过程,该框架定义了在慢性病管理中生成和评估社交媒体使用证据的标准与方法,即社交媒体治疗效用(TASoMe)框架。TASoMe是通过综合运用混合研究方法和数据收集工具构建而成的。它代表了一种系统的研究方法,将治疗效用、患者报告结果和循证实践等关键概念结合起来,以生成关于社交媒体使用对健康结果影响的证据。其关键组成部分包括:关键研究概念、研究方法以及将从研究结果中受益的利益相关者。TASoMe通过提供一个严格且可靠的模型来推动研究与实践,为参与式健康信息学领域做出了贡献。它已开始在一系列健康状况下得到独立验证,并且有可能应用于一系列参与式健康信息学技术。