Addressing medication adherence technology needs in an aging population
Addressing medication adherence technology needs in an aging population
复制标题
解决人口老龄化中的药物依从性技术需求
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Brad Fain
中科院分区：
文献类型：
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作者：
Jessica A. Pater;S. Owens;Sarah Farmer;Elizabeth D. Mynatt;Brad Fain
利用技术来激发由健康目标激励的行为改变是一项挑战。技术，往往植根于健全的科学原则，有时并不像预期的那样在真实的世界的情况下。使用障碍往往不是产品或服务的行为改变模型所固有的，而是与设计干预措施时未能适当考虑最终用户需求相关的问题。我们对老年人进行了一项大型的多阶段研究，以评估旨在创造或支持与药物依从性相关的行为改变的技术的促进因素和障碍。使用Fogg行为模型，我们通过调查，家庭访谈，参与式设计研讨会和部署的技术的数据分析了行为改变的触发因素。我们的结果表明，与内容交付相关的用户体验至少与内容一样重要。此外，有经验的用户比新手用户更能帮助研究人员识别潜在的设计问题。因为我们的参与者对技术和功能的工作和不工作的知识，最后的参与式设计会议是非常有效的，提供反馈的机制类型，与这一人群产生共鸣，并可能导致更高水平的行为变化，在未来的技术。
Using technology to inspire behavior change motivated by a health goal is a challenge. Technologies, often rooted in sound scientific principles, sometimes do not perform as expected in real world scenarios. Quite often the barriers to use are not inherent in the behavior change model of the product or service, but are issues associated with the failure to appropriately consider the needs of the end users when designing an intervention. We deployed a large, multi-stage research study with aging adults to assess the facilitators and barriers of technologies aimed to create or support behavior changes related to medication adherence. Using the Fogg Behavior model, we analyzed the triggers made on behavior change through data from surveys, in-home interviews, participatory design workshops and the deployed technologies. Our results indicate that the user experience associated with delivery of the content is at least as important as the content. Additionally, experienced users are far better prepared to help researchers identify potential design issues than novice users. Because our participants were knowledgeable about the technologies and the features that worked and did not work, the concluding participatory design sessions were highly efficient in providing feedback on the type of mechanisms that resonate with this population and could lead to higher levels of behavior change in future technologies.
影响因子：
3.7
作者：
Czaja, Sara J.;Charness, Neil;Sharit, Joseph
通讯作者：
Sharit, Joseph