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慢性健康状况与互联网行为干预:增强用户参与度的因素综述

Chronic health conditions and internet behavioral interventions: a review of factors to enhance user engagement.

作者信息

Schubart Jane R, Stuckey Heather L, Ganeshamoorthy Ambika, Sciamanna Christopher N

机构信息

Departments of Surgery, Public Health Sciences, The Pennsylvania State University, College of Medicine, Hershey, PA, USA.

出版信息

Comput Inform Nurs. 2011 Feb;29(2):81-92. doi: 10.1097/NCN.0b013e3182065eed.

Abstract

The objective of this study was to review the evidence about what factors influence user engagement in Internet-based behavioral interventions for chronic illness. We conducted a systematic review of the recent published literature. Searches of MEDLINE (using Ovid and PubMed), The Cochrane Library, and PsycINFO, from January 2000 to December 2008, were completed. Additional articles were identified from searching the bibliographies of retrieved articles. We identified studies of interactive health communication interventions delivered via the Internet that, apart from delivering health information, had another component such as interactive tools to manage illness, decision support for treatment, or social support. We restricted the age range to adulthood. The search identified 186 abstracts; 46 articles were reviewed. We used a qualitative approach called "positive deviance" to study those interventions that have succeeded in engaging users where most have failed. Some ways to improve user engagement in Internet interventions suggested by our review include addressing health concerns that are important and relevant to an individual patient or consumer and an individualized approach, such as personally tailored advice and feedback. Interventions that are part of larger health management programs that include clinicians appear to be especially promising.

摘要

本研究的目的是回顾关于哪些因素会影响慢性病患者参与基于互联网的行为干预的证据。我们对近期发表的文献进行了系统综述。完成了对2000年1月至2008年12月期间MEDLINE(使用Ovid和PubMed)、Cochrane图书馆及PsycINFO的检索。通过检索所获文章的参考文献确定了其他文章。我们确定了通过互联网提供的交互式健康交流干预研究,这些干预除了提供健康信息外,还有其他组成部分,如管理疾病的交互式工具、治疗决策支持或社会支持。我们将年龄范围限定为成年人。检索共找到186篇摘要;对46篇文章进行了综述。我们采用一种名为“积极偏差”的定性方法来研究那些在大多数干预失败的情况下成功吸引用户参与的干预措施。我们的综述提出的一些提高用户参与互联网干预的方法包括解决与个体患者或消费者重要且相关的健康问题以及采用个性化方法,如个性化定制的建议和反馈。作为包含临床医生的更大健康管理项目一部分的干预措施似乎尤其有前景。

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本文引用的文献

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The science of internet interventions. Introduction.互联网干预科学。引言。
Ann Behav Med. 2009 Aug;38(1):1-3. doi: 10.1007/s12160-009-9132-5.
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A behavior change model for internet interventions.互联网干预行为改变模型。
Ann Behav Med. 2009 Aug;38(1):18-27. doi: 10.1007/s12160-009-9133-4. Epub 2009 Oct 4.
3
Defining internet-supported therapeutic interventions.定义互联网支持的治疗干预措施。
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