Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study.
Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study.
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DOI：
10.2196/mhealth.6970
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发表时间：
2017-01-24
影响因子：
5
通讯作者：
Basen-Engquist KM
中科院分区：
文献类型：
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作者：
Robertson MC;Tsai E;Lyons EJ;Srinivasan S;Swartz MC;Baum ML;Basen-Engquist KM
癌症幸存者面临着几种负面健康后果的高风险，但体力活动(PA)可以降低这些风险。不幸的是，幸存者对PA建议的依从性很低。健身移动应用程序已被证明有助于在普通人群中采用PA，但专门为癌症幸存者设计的应用程序有限。这一群体对PA有着独特的需求和障碍，而大多数现有的PA应用程序都没有解决这些问题。此外，纳入用户偏好已被确定为基于技术的PA干预的重要优先事项，但目前用于在癌症幸存者中建立这些偏好的文献有限。考虑到应用程序开发的高昂成本，以及大多数下载的应用程序无法长期吸引用户，这一点尤其成问题。这项研究的目的是采取定性的方法，提供关于这一人群对应用程序的功能和消息的偏好的实际洞察力，以增加PA。共有35名癌症幸存者每人参加了两个焦点小组；一名主持人展示了关于潜在应用程序功能和信息的幻灯片，并提出了开放式问题，以吸引参与者的偏好。所有会议都被录音并逐字转录。三名审查员独立对所有成绩单进行专题内容分析，然后组织和综合调查结果，以确定突出的主题。参与者(平均年龄63.7岁，SD 10.8岁)主要为女性(24/35，69%)和白人(25/35，71%)。参与者通常能够接触到技术，并接受使用应用程序来增加PA。确定的主题包括(1)随意、简洁和积极的语气，(2)实现个人目标的工具，(3)个人助理的处方，以及(4)为用户量身定做的体验。参与者报告说，他们希望以较低的数据输入负担进行广泛的背景数据收集，并希望有一个可靠的来源将他们的个人数据转换为个性化的PA建议。他们表达了对APP功能的渴望，这些功能可以促进目标实现，并表达了对更私密的社交体验的偏好。最后，结果表明，PA目标可能最好建立在个人优先事项和价值观的背景下。确定的许多所需功能既与经验支持的行为改变方法兼容，也与APP作为行为干预交付工具的相对优势兼容。参与的癌症幸存者的偏好与目前许多移动应用程序开发的标准做法形成了对比，包括基于价值而不是数字目标，小组中的私人社交而不是与更广泛的社交网络共享，以及解释PA数据而不仅仅是提供数字数据。综上所述，这些见解可能有助于提高基于理论的mHealth PA干预措施在癌症幸存者中的可接受性。
Cancer survivors are at an elevated risk for several negative health outcomes, but physical activity (PA) can decrease those risks. Unfortunately, adherence to PA recommendations among survivors is low. Fitness mobile apps have been shown to facilitate the adoption of PA in the general population, but there are limited apps specifically designed for cancer survivors. This population has unique needs and barriers to PA, and most existing PA apps do not address these issues. Moreover, incorporating user preferences has been identified as an important priority for technology-based PA interventions, but at present there is limited literature that serves to establish these preferences in cancer survivors. This is especially problematic given the high cost of app development and because the majority of downloaded apps fail to engage users over the long term. The aim of this study was to take a qualitative approach to provide practical insight regarding this population’s preferences for the features and messages of an app to increase PA. A total of 35 cancer survivors each attended 2 focus groups; a moderator presented slide shows on potential app features and messages and asked open-ended questions to elicit participant preferences. All sessions were audio recorded and transcribed verbatim. Three reviewers independently conducted thematic content analysis on all transcripts, then organized and consolidated findings to identify salient themes. Participants (mean age 63.7, SD 10.8, years) were mostly female (24/35, 69%) and mostly white (25/35, 71%). Participants generally had access to technology and were receptive to engaging with an app to increase PA. Themes identified included preferences for (1) a casual, concise, and positive tone, (2) tools for personal goal attainment, (3) a prescription for PA, and (4) an experience that is tailored to the user. Participants reported wanting extensive background data collection with low data entry burden and to have a trustworthy source translate their personal data into individualized PA recommendations. They expressed a desire for app functions that could facilitate goal achievement and articulated a preference for a more private social experience. Finally, results indicated that PA goals might be best established in the context of personally held priorities and values. Many of the desired features identified are compatible with both empirically supported methods of behavior change and the relative strengths of an app as a delivery vehicle for behavioral intervention. Participating cancer survivors’ preferences contrasted with many current standard practices for mobile app development, including value-based rather than numeric goals, private socialization in small groups rather than sharing with broader social networks, and interpretation of PA data rather than merely providing numerical data. Taken together, these insights may help increase the acceptability of theory-based mHealth PA interventions in cancer survivors.