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开发一个框架,以生成社交媒体在慢性病管理中的使用对健康结果影响的证据。

Developing a framework to generate evidence of health outcomes from social media use in chronic disease management.

作者信息

Merolli Mark, Gray Kathleen, Martin-Sanchez Fernando

机构信息

Health and Biomedical Informatics Centre The University of Melbourne Melbourne Australia.

出版信息

Med 2 0. 2013 Aug 8;2(2):e3. doi: 10.2196/med20.2717. eCollection 2013 Jul-Dec.

Abstract

BACKGROUND

While there is an abundance of evidence-based practice (EBP) recommendations guiding management of various chronic diseases, evidence suggesting best practice for using social media to improve health outcomes is inadequate. The variety of social media platforms, multiple potential uses, inconsistent definitions, and paucity of rigorous studies, make it difficult to measure health outcomes reliably in chronic disease management. Most published investigations report on an earlier generation of online tools, which are not as user-centered, participatory, engaging, or collaborative, and thus may work differently for health self-management.

OBJECTIVE

The challenge to establish a sound evidence base for social media use in chronic disease starts with the need to define criteria and methods to generate and evaluate evidence. The authors' key objective is to develop a framework for research and practice that addresses this challenge.

METHODS

This paper forms part of a larger research project that presents a conceptual framework of how evidence of health outcomes can be generated from social media use, allowing social media to be utilized in chronic disease management more effectively. Using mixed methods incorporating a qualitative literature review, a survey and a pilot intervention, the research closely examines the therapeutic affordances of social media, people with chronic pain (PWCP) as a subset of chronic disease management, valid outcome measurement of patient-reported (health) outcomes (PRO), the individual needs of people living with chronic disease, and finally translation of the combined results to improve evidence-based decision making about social media use in this context.

RESULTS

Extensive review highlights various affordances of social media that may prove valuable to understanding social media's effect on individual health outcomes. However, without standardized PRO instruments, we are unable to definitively investigate these effects. The proposed framework that we offer outlines how therapeutic affordances of social media coupled with valid and reliable PRO measurement may be used to generate evidence of improvements in health outcomes, as well as guide evidence-based decision making in the future about social media use as part of chronic disease self-management.

CONCLUSIONS

The results will (1) inform a framework for conducting research into health outcomes from social media use in chronic disease, as well as support translating the findings into evidence of improved health outcomes, and (2) inform a set of recommendations for evidence-based decision making about social media use as part of chronic disease self-management. These outcomes will fill a gap in the knowledge and resources available to individuals managing a chronic disease, their clinicians and other researchers in chronic disease and the field of medicine 2.0.

摘要

背景

虽然有大量基于证据的实践(EBP)建议指导各种慢性病的管理,但关于利用社交媒体改善健康结果的最佳实践的证据并不充分。社交媒体平台种类繁多、潜在用途多样、定义不一致以及严格研究匮乏,使得在慢性病管理中可靠地衡量健康结果变得困难。大多数已发表的调查报道的是早期一代的在线工具,这些工具并非以用户为中心、缺乏参与性、趣味性或协作性,因此在健康自我管理方面可能有不同的效果。

目的

为社交媒体在慢性病管理中的应用建立可靠证据基础的挑战始于需要定义生成和评估证据的标准及方法。作者的主要目标是制定一个应对这一挑战的研究与实践框架。

方法

本文是一个更大研究项目的一部分,该项目提出了一个概念框架,阐述如何从社交媒体使用中生成健康结果证据,从而更有效地将社交媒体应用于慢性病管理。该研究采用混合方法,包括定性文献综述、调查和试点干预,密切考察社交媒体的治疗作用、作为慢性病管理子集的慢性疼痛患者(PWCP)、患者报告(健康)结果(PRO)的有效结果测量、慢性病患者的个体需求,最后将综合结果转化,以改善在此背景下关于社交媒体使用的循证决策。

结果

广泛的综述突出了社交媒体的各种作用,这些作用可能对理解社交媒体对个体健康结果的影响很有价值。然而,没有标准化的PRO工具,我们无法确切调查这些影响。我们提出的框架概述了社交媒体的治疗作用与有效可靠的PRO测量如何可用于生成健康结果改善的证据,以及指导未来关于将社交媒体用作慢性病自我管理一部分的循证决策。

结论

研究结果将(1)为开展社交媒体在慢性病管理中健康结果研究的框架提供信息,并支持将研究结果转化为健康结果改善的证据;(2)为将社交媒体用作慢性病自我管理一部分的循证决策提供一系列建议。这些结果将填补慢性病患者、其临床医生以及慢性病和医学2.0领域的其他研究人员在知识和资源方面的空白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba6a/4085121/f03bf0fcd352/med20_v2i2e3_fig1.jpg

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