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本文引用的文献

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Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.移动医疗中的即时自适应干预(JITAIs):持续健康行为支持的关键组成部分和设计原则。
Ann Behav Med. 2018 May 18;52(6):446-462. doi: 10.1007/s12160-016-9830-8.
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Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications.开发一个用于评估移动健康应用程序的患者参与度、质量和安全性的框架。
Issue Brief (Commonw Fund). 2016 Feb;5:1-11.
3
Sample size calculations for micro-randomized trials in mHealth.移动健康中微随机试验的样本量计算。
Stat Med. 2016 May 30;35(12):1944-71. doi: 10.1002/sim.6847. Epub 2015 Dec 28.
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Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.微随机试验:一种用于开发即时适应性干预措施的实验设计。
Health Psychol. 2015 Dec;34S(0):1220-8. doi: 10.1037/hea0000305.
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Lifetime comorbidity of DSM-IV mood and anxiety disorders and specific drug use disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.《精神疾病诊断与统计手册》第四版中情绪和焦虑障碍与特定药物使用障碍的终生共病情况:来自全国酒精及相关状况流行病学调查的结果
J Clin Psychiatry. 2006 Feb;67(2):247-57. doi: 10.4088/jcp.v67n0211.
6
Novelty seeking, risk taking, and related constructs as predictors of adolescent substance use: an application of Cloninger's theory.寻求新奇、冒险及相关构念作为青少年物质使用的预测因素:克隆宁格理论的应用
J Subst Abuse. 1994;6(1):1-20. doi: 10.1016/s0899-3289(94)90039-6.

SARA:一款用于让用户参与健康数据收集的移动应用程序。

SARA: A Mobile App to Engage Users in Health Data Collection.

作者信息

Rabbi Mashfiqui, Philyaw-Kotov Meredith, Lee Jinseok, Mansour Anthony, Dent Laura, Wang Xiaolei, Cunningham Rebecca, Bonar Erin, Nahum-Shani Inbal, Klasnja Predrag, Walton Maureen, Murphy Susan

机构信息

Department of Statistics, University of Michigan.

Department of Psychiatry, University of Michigan.

出版信息

Proc ACM Int Conf Ubiquitous Comput. 2017 Sep;2017:781-789. doi: 10.1145/3123024.3125611.

DOI:10.1145/3123024.3125611
PMID:29503985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5831124/
Abstract

Despite the recent progress in sensor technologies, many relevant health data can be only captured with manual input (e.g., food intake, stress appraisal, subjective emotion, substance use). A common problem of manual logging is that users often disengage within a short time because of high burden. In this work, we propose SARA, a novel app to engage users with ongoing tracking using timely rewards thereby reinforcing users for data input. SARA is developed for adolescents and emerging adults at risk for substance abuse. The rewards in SARA are designed to be developmentally and culturally appropriate to the target demographic and are theoretically grounded in the behavioral science literature. In this paper, we describe SARA and its rewards to increase data collection. We also briefly discuss future plans to evaluate SARA and develop just in time adaptive interventions for engagement and behavior change.

摘要

尽管传感器技术最近取得了进展,但许多相关的健康数据只能通过手动输入来获取(例如,食物摄入量、压力评估、主观情绪、物质使用情况)。手动记录的一个常见问题是,由于负担过重,用户往往会在短时间内放弃。在这项工作中,我们提出了SARA,这是一款新颖的应用程序,通过及时奖励让用户参与持续跟踪,从而激励用户进行数据输入。SARA是为有药物滥用风险的青少年和新兴成年人开发的。SARA中的奖励旨在在发展和文化上适合目标人群,并且在行为科学文献中有理论依据。在本文中,我们描述了SARA及其用于增加数据收集的奖励措施。我们还简要讨论了评估SARA以及为参与和行为改变开发及时自适应干预措施的未来计划。