基于网络的行为改变和自我管理干预:潜力、缺陷和进展。

Medicine 2.0 Pub Date : 2012-08-14 eCollection Date: 2012-07-01 DOI:10.2196/med20.1741
Elizabeth Murray
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引用次数: 196

摘要

利用互联网提供自我护理和行为改变项目的潜在优势已得到充分认识。人口老龄化,加上长期疾病的日益流行和更有效的医疗干预措施,给所有卫生保健系统带来了财政压力。基于网络的干预有可能将面对面干预的量身定制方法与公共卫生干预的可扩展性相结合,后者每增加一个用户的边际成本较低。从患者的角度来看,基于web的干预可能非常有吸引力,因为它们方便、易于访问,并且可以保持匿名/隐私。对这一潜力的认识促使人们研究开发和评估基于网络的干预措施,以实现对长期状况和行为改变的自我管理。许多系统评价已经证实了一些基于网络的干预措施的有效性,但仍存在许多未解决的问题。本文回顾了在开发和评估基于网络的干预措施方面取得的进展,并考虑了三个具有挑战性的领域:公平、有效性和实施。基于网络的干预措施对健康不平等的影响仍不清楚。尽管有些人认为,这种干预措施可以增加服务不足社区的机会,但有证据表明,依赖基于网络的干预措施可能会将那些处于数字鸿沟“错误”一边的人排除在外,从而加剧卫生不平等。虽然大多数系统评价都发现了对目标结果的积极影响,但效应大小往往很小,而且并非所有干预措施都是成功的。需要进一步的工作来确定为什么一些干预措施有效而另一些无效。这包括考虑这些复杂干预措施的“有效成分”或作用机制及其使用背景。是否存在某种人口统计学、心理学或临床因素促进或抑制成功?某些行为或某些临床问题是否更容易通过计算机干预来改变?同样有问题的是如何将这些项目纳入常规临床实践。许多电子健康项目在研究结束后就结束了,未能成为主流临床护理的一部分。应对这些挑战的一种方法是应用医学研究理事会制定、评估和实施复杂干预措施的框架。这包括具有强大的理论基础,制定拟议的机制或行动途径,确保评估充分反映拟议的途径,并从开发过程开始考虑实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web-based interventions for behavior change and self-management: potential, pitfalls, and progress.

The potential advantages of using the Internet to deliver self-care and behavior-change programs are well recognized. An aging population combined with the increasing prevalence of long-term conditions and more effective medical interventions place financial strain on all health care systems. Web-based interventions have the potential to combine the tailored approach of face-to-face interventions with the scalability of public health interventions that have low marginal costs per additional user. From a patient perspective, Web-based interventions can be highly attractive because they are convenient, easily accessible, and can maintain anonymity/privacy. Recognition of this potential has led to research in developing and evaluating Web-based interventions for self-management of long-term conditions and behavior change. Numerous systematic reviews have confirmed the effectiveness of some Web-based interventions, but a number of unanswered questions still remain. This paper reviews the progress made in developing and evaluating Web-based interventions and considers three challenging areas: equity, effectiveness, and implementation. The impact of Web-based interventions on health inequalities remains unclear. Although some have argued that such interventions can increase access to underserved communities, there is evidence to suggest that reliance on Web-based interventions may exacerbate health inequalities by excluding those on the "wrong" side of the digital divide. Although most systematic reviews have found a positive effect on outcomes of interest, effect sizes tend to be small and not all interventions are successful. Further work is needed to determine why some interventions work and others do not. This includes considering the "active ingredients" or mechanism of action of these complex interventions and the context in which they are used. Are there certain demographic, psychological, or clinical factors that promote or inhibit success? Are some behaviors or some clinical problems more amenable to change by computer-based interventions? Equally problematic is the issue of implementation and integration of such programs into routine clinical practice. Many eHealth projects end when the research is concluded and fail to become part of mainstream clinical care. One way of addressing these challenges is to apply the Medical Research Council framework for developing, evaluating, and implementing complex interventions. This includes having a strong theoretical foundation, developing a proposed mechanism or pathway of action, ensuring that the evaluation adequately reflects this proposed pathway, and considering implementation from the beginning of the development process.

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