Greenwell Kate, Hoare Derek J
NIHR Nottingham Hearing Biomedical Research Unit, Otology and Hearing group, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, United Kingdom.
Am J Audiol. 2016 Oct 1;25(3S):278-283. doi: 10.1044/2016_AJA-16-0013.
The purpose of this study is to explore the presence of key interactive design features across Internet-based audiology rehabilitation and self-management interventions, and whether there is evidence of them mediating effects of the intervention.
Adult audiology interventions relevant to this review were identified through a literature search in Google Scholar and a hand search of key journals. Four key interactive design features that have been proposed to mediate the effects of Internet-based health interventions were reported for each intervention: social context and support, contacts with the intervention, tailoring, and self-management.
Five interventions were identified as representative examples of work in the field. Social context and support and contacts with the intervention were provided in most interventions, mainly through clinician guidance. Only 1 intervention utilized tailoring to personalize intervention content to individual users, but use was minimal. Self-management features were also used in all interventions but the precise nature of these features was poorly reported.
Future studies should assess the optimal dose and combinations of intervention features for maximizing efficacy in audiology intervention. To be specific, the role of tailoring should be explored, which has been identified as a potential mediator of intervention outcome in the wider e-health literature.
本研究旨在探究基于互联网的听力康复与自我管理干预措施中关键交互设计特征的存在情况,以及是否有证据表明这些特征能介导干预效果。
通过在谷歌学术上进行文献检索以及对关键期刊进行手工检索,确定了与本综述相关的成人听力干预措施。针对每项干预措施,报告了已被提出用于介导基于互联网的健康干预效果的四个关键交互设计特征:社会背景与支持、与干预的接触、个性化定制以及自我管理。
确定了五项干预措施作为该领域工作的代表性实例。大多数干预措施都提供了社会背景与支持以及与干预的接触,主要通过临床医生指导。只有一项干预措施利用个性化定制来根据个体用户调整干预内容,但使用程度较低。自我管理特征也在所有干预措施中得到了应用,但这些特征的确切性质报告得很差。
未来的研究应评估干预特征的最佳剂量和组合,以在听力干预中实现最大疗效。具体而言,应探索个性化定制的作用,在更广泛的电子健康文献中,它已被确定为干预结果的潜在介导因素。