Development of an Internet Intervention to Address Behaviors Associated with Skin Cancer Risk among Young Adults.
Development of an Internet Intervention to Address Behaviors Associated with Skin Cancer Risk among Young Adults.
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DOI：
10.1016/j.invent.2015.04.003
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发表时间：
2015-09-01
期刊：
影响因子：
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通讯作者：
Manne, Sharon
中科院分区：
文献类型：
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作者：
Heckman, Carolyn;Darlow, Susan;Manne, Sharon
目的：皮肤癌是美国最常见的癌症，其发病率呈上升趋势。皮肤癌的主要危险因素是暴露于紫外线辐射（UV）。年轻人往往暴露在大量的紫外线下，却很少采取皮肤保护措施，这增加了他们患皮肤癌的风险。需要采取干预措施，解决年轻人中可能导致皮肤癌的危险行为。互联网为广泛传播有效的干预措施提供了一种具有成本效益的方式。目前的论文描述了针对年轻人的在线皮肤癌风险降低干预（UV4.me）的发展。过程：v4的迭代开发过程。Me遵循最佳实践指南，并包括以下活动：个人访谈、焦点小组、专家团队的内容开发、可接受性测试、问卷认知访谈、质量控制测试、可用性测试和随机对照试验。评估参与者的可接受性和可用性反馈。主要结果：开发过程基于行为预测综合模型、互联网干预模型、其他最佳实践建议、专家意见以及在开发之前、期间和之后收集的用户可接受性和可用性反馈，产生了一种基于证据的干预措施，这种干预措施具有个性化、互动性和多媒体的性质。主要结论：开发一种可接受的干预措施，旨在产生重大的公共卫生影响，需要在时间、金钱、专业知识和持续的用户投入方面进行相对较大的投资。讨论了经验教训和建议。所使用的综合过程可以帮助其他有兴趣创建类似行为健康干预措施的人做好准备。
PURPOSE: Skin cancer is the most common cancer in the US, and its incidence is increasing. The major risk factor for skin cancer is exposure to ultraviolet radiation (UV). Young adults tend to expose themselves to large amounts of UV and engage in minimal skin protection, which increases their skin cancer risk. Interventions are needed to address risk behaviors among young adults that may lead to skin cancer. The nternet offers a cost-effective way to widely disseminate efficacious interventions. The current paper describes the development of an online skin cancer risk reduction intervention (UV4.me) for young adults.PROCEDURES: The iterative development process for UV4.me followed best-practice guidelines and included the following activities: individual interviews, focus groups, content development by the expert team, acceptability testing, cognitive interviewing for questionnaires, quality control testing, usability testing, and a pilot randomized controlled trial. Participant acceptability and usability feedback was assessed.PRINCIPAL RESULTS: The development process produced an evidence-informed intervention that is individually-tailored, interactive, and multimedia in nature based on the Integrative Model of Behavior Prediction, a model for internet interventions, and other best-practice recommendations, expert input, as well as user acceptability and usability feedback gathered before, during, and after development.MAJOR CONCLUSIONS: Development of an acceptable intervention intended to have a significant public health impact requires a relatively large investment in time, money, expertise, and ongoing user input. Lessons learned and recommendations are discussed. The comprehensive process used may help prepare others interested in creating similar behavioral health interventions.