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评估电子健康干预措施时的方法学考量

Methodological considerations in evaluating eHealth interventions.

作者信息

Nguyen Huong Q, Cuenco DorAnne, Wolpin Seth, Benditt Josh, Carrieri-Kohlman Virginia

机构信息

School of Nursing, University of Washington, Seattle 98199, USA.

出版信息

Can J Nurs Res. 2007 Mar;39(1):116-34.

Abstract

Advances in information and communication technologies shape consumers' attitudes towards engagement in their own health and their interface with the health-care system. The use of eHealth tools holds promise for supporting and enabling health behaviour change and the prevention and management of chronic diseases. The authors review issues related to study design, treatment implementation, and outcome measurement in eHealth trials, providing examples from the literature and from their own ongoing studies. Selection of a comparison group and design considerations related to participant preferences are based on the state of the science and current practice in the particular field. Randomized designs allow for control of selection bias and are favoured in both efficacy and effectiveness trials of eHealth interventions. Depending on the choice of comparison groups, eHealth applications must be fairly robust to demonstrate their efficacy above and beyond active controls. Strategies to ensure treatment fidelity and ongoing participant engagement can be challenging and are not always successful. Patient-reported outcomes are common to eHealth studies. Other outcomes, such as the costs associated with new eHealth applications, are equally if not more important for decision-makers. This discussion is intended to inform future trials and thereby serve to advance the science of eHealth.

摘要

信息与通信技术的进步塑造了消费者对参与自身健康管理以及与医疗保健系统交互的态度。电子健康工具的使用有望支持并促进健康行为改变以及慢性病的预防与管理。作者回顾了电子健康试验中与研究设计、治疗实施和结果测量相关的问题,并列举了文献及自身正在进行的研究中的实例。比较组的选择以及与参与者偏好相关的设计考量基于特定领域的科学现状和当前实践。随机设计有助于控制选择偏倚,在电子健康干预的疗效和效果试验中均受青睐。根据比较组的选择,电子健康应用必须具备相当的稳健性,才能证明其疗效优于积极对照。确保治疗保真度和参与者持续参与的策略可能具有挑战性,且并非总能成功。患者报告的结果在电子健康研究中很常见。其他结果,如新电子健康应用的相关成本,对决策者而言即便不是更重要,也同样重要。本次讨论旨在为未来试验提供参考,从而推动电子健康科学的发展。

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