Online health communities (OHCs) offer the promise of connecting with supportive peers. Forming these connections first requires finding relevant peers - a process that can be time-consuming. Peer recommendation systems are a computational approach to make finding peers easier during a health journey. By encouraging OHC users to alter their online social networks, peer recommendations could increase available support. But these benefits are hypothetical and based on mixed, observational evidence. To experimentally evaluate the effect of peer recommendations, we conceptualize these systems as health interventions designed to increase specific beneficial connection behaviors. In this paper, we designed a peer recommendation intervention to increase two behaviors: reading about peer experiences and interacting with peers. We conducted an initial feasibility assessment of this intervention by conducting a 12-week field study in which 79 users of CaringBridge received weekly peer recommendations via email. Our results support the usefulness and demand for peer recommendation and suggest benefits to evaluating larger peer recommendation interventions. Our contributions include practical guidance on the development and evaluation of peer recommendation interventions for OHCs.
翻译:在线健康社区(OHCs) 提供了与支持性同行连接的希望。 形成这些连接首先需要找到相关的同行,这是一个耗时的过程。 同行推荐系统是一种计算方法,目的是在健康旅程中更容易找到同行。 通过鼓励 OHC 用户改变其在线社交网络,同行推荐可以增加可用的支持。 但是,这些惠益是假设的,并且基于各种观察证据。 为了实验性地评估同行建议的效果,我们将这些系统概念化为旨在增加特定受益性连接行为的健康干预措施。 在本文中,我们设计了一种同行建议干预措施,以增加两种行为:阅读同行体验和与同行互动。我们通过开展为期12周的实地研究,对这项干预措施进行了初步的可行性评估,其中CaringBridge的79个用户通过电子邮件接受了每周同行推荐。我们的结果支持了同行推荐的有用性和需求,并提出了评估更大同行推荐干预措施的益处。 我们的贡献包括制定和评估为OHCs制定和评估同行推荐干预措施的实用指南。