Daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study.
Daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study.
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DOI：
10.2196/jmir.3421
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发表时间：
2014-05-23
影响因子：
7.4
通讯作者：
Ahn SH
中科院分区：
文献类型：
--
作者：
Min YH;Lee JW;Shin YW;Jo MW;Sohn G;Lee JH;Lee G;Jung KH;Sung J;Ko BS;Yu JH;Kim HJ;Son BH;Ahn SH
移动通信技术的进步使临床医生能够更频繁地收集患者报告结果(PRO)数据，但关于通过智能手机应用程序(APP)在接受化疗的乳腺癌患者中收集PRO数据的频率的证据迄今有限。这项研究的主要目的是确定应用程序收集接受化疗的乳腺癌患者睡眠障碍相关数据的可行性。第二个目标是确定与更好的遵从性相关的变量，以便确定在未来基于智能手机的干预研究中包括的最佳亚组。2013年3月至2013年7月，计划在峨山医疗中心接受乳腺癌新辅助化疗的患者可以使用智能手机应用程序，他们在化疗开始前登记，并被要求在90天的研究期间每天通过智能手机应用程序自我报告他们的睡眠模式、焦虑程度和情绪状态。推送通知每天上午9点和晚上7点发送给参与者收集了患者的人口统计学数据、从登记到第一次自我报告的时间间隔、基线Beck抑郁问卷(BDI)得分和健康相关生活质量得分(使用EuroQol五维[EQ5D-3L]问卷评估)，以确定与自我报告过程遵从性相关的因素。在这项研究中，共有30名参与者(平均年龄45岁，SD6；年龄范围35-65岁)进行了分析。在90天的研究期间，总共有2700个每日推送通知通过他们的智能手机发送给这30名参与者，结果收集了1215个自我报告的睡眠障碍数据项(总体合规率=45.0%，1215/2700)。个人患者水平报告率的中位数为41.1%(范围6.7-95.6%)。纵向日级顺应性曲线在第34天降至50.0%，在第90天达到13.3%的最低点。累积纵向顺应性曲线在第70天稳定下降约50%，到第90天继续下降至45%。未从事任何形式就业的妇女遵从率较高。其他任何患者特征(即人口统计学、BDI和EQ5D-3L评分)与依从性之间没有关联。滞后时间为1天的亚组(定义为在登记后第二天开始自我报告)的平均患者水平报告率高于滞后2天或更长时间的亚组(分别为51.6%，SD 24.0和29.6%，SD 25.3；P=0.03)。通过智能手机应用程序对每日自我报告的睡眠障碍数据进行90天的纵向收集被发现是可行的。进一步的研究应该集中在如何在更长的时间内保持对这种自我报告的遵从性，并选择遵从率较高的亚群进行移动卫生保健。
Improvements in mobile telecommunication technologies have enabled clinicians to collect patient-reported outcome (PRO) data more frequently, but there is as yet limited evidence regarding the frequency with which PRO data can be collected via smartphone applications (apps) in breast cancer patients receiving chemotherapy. The primary objective of this study was to determine the feasibility of an app for sleep disturbance-related data collection from breast cancer patients receiving chemotherapy. A secondary objective was to identify the variables associated with better compliance in order to identify the optimal subgroups to include in future studies of smartphone-based interventions. Between March 2013 and July 2013, patients who planned to receive neoadjuvant chemotherapy for breast cancer at Asan Medical Center who had access to a smartphone app were enrolled just before the start of their chemotherapy and asked to self-report their sleep patterns, anxiety severity, and mood status via a smartphone app on a daily basis during the 90-day study period. Push notifications were sent to participants daily at 9 am and 7 pm. Data regarding the patients’ demographics, interval from enrollment to first self-report, baseline Beck’s Depression Inventory (BDI) score, and health-related quality of life score (as assessed using the EuroQol Five Dimensional [EQ5D-3L] questionnaire) were collected to ascertain the factors associated with compliance with the self-reporting process. A total of 30 participants (mean age 45 years, SD 6; range 35-65 years) were analyzed in this study. In total, 2700 daily push notifications were sent to these 30 participants over the 90-day study period via their smartphones, resulting in the collection of 1215 self-reporting sleep-disturbance data items (overall compliance rate=45.0%, 1215/2700). The median value of individual patient-level reporting rates was 41.1% (range 6.7-95.6%). The longitudinal day-level compliance curve fell to 50.0% at day 34 and reached a nadir of 13.3% at day 90. The cumulative longitudinal compliance curve exhibited a steady decrease by about 50% at day 70 and continued to fall to 45% on day 90. Women without any form of employment exhibited the higher compliance rate. There was no association between any of the other patient characteristics (ie, demographics, and BDI and EQ5D-3L scores) and compliance. The mean individual patient-level reporting rate was higher for the subgroup with a 1-day lag time, defined as starting to self-report on the day immediately after enrollment, than for those with a lag of 2 or more days (51.6%, SD 24.0 and 29.6%, SD 25.3, respectively; P=.03). The 90-day longitudinal collection of daily self-reporting sleep-disturbance data via a smartphone app was found to be feasible. Further research should focus on how to sustain compliance with this self-reporting for a longer time and select subpopulations with higher rates of compliance for mobile health care.
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影响因子：
7.4
作者：
Fiordelli M;Diviani N;Schulz PJ
通讯作者：
Schulz PJ
DOI：
10.1197/jamia.m2177
发表时间：
2007-05-01
影响因子：
6.4
作者：
Basch, Ethan;Artz, David;Schrag, Deborah
通讯作者：
Schrag, Deborah
影响因子：
50.5
作者：
Weaver, A.;Young, A. M.;Tarassenko, L.
通讯作者：
Tarassenko, L.
DOI：
10.1177/109019818601300108
发表时间：
1986-03-01
期刊：
HEALTH EDUCATION QUARTERLY
影响因子：
--
作者：
STRECHER, VJ;DEVELLIS, BM;ROSENSTOCK, IM
通讯作者：
ROSENSTOCK, IM
影响因子：
56.9
作者：
Killingsworth, Matthew A.;Gilbert, Daniel T.
通讯作者：
Gilbert, Daniel T.