Assessment of Environmental, Sociocultural, and Physiological Influences on Women's Toileting Decisions and Behaviors Using "Where I Go": Pilot Study of a Mobile App.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2025-02-12 DOI:10.2196/56533
Abigail R Smith, Elizabeth R Mueller, Cora E Lewis, Alayne Markland, Caroline Smerdon, Ariana L Smith, Siobhan Sutcliffe, Jean F Wyman, Lisa Kane Low, Janis M Miller
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Abstract

Background: Little is known about women's decisions around toileting for urination and how those decisions influence moment-to-moment behaviors to manage bladder needs. The new smartphone app "Where I Go" captures such nuanced and granular data in real-world environments.

Objective: This study aims to describe participant engagement with "Where I Go", variation in novel parameters collected, and readiness for the data collection tool's use in population-based studies.

Methods: "Where I Go" has three components: (1) real-time data, (2) short look-back periods (3-4 h), and (3) event location (GPS recorded at each interaction). The sample size was 44 women. Recording of real-time toileting events and responding to look-back questions was measured over 2 days of data collection. The participant's self-entered location descriptions and the automatic GPS recordings were compared.

Results: A total of 44 women with an average age of 44 (range 21-85) years interacted with the app. Real-time reporting of at least 1 toileting event per day was high (38/44, 86%, on day 1 and 40/44, 91%, on day 2) with a median of 5 (IQR 3-7 on day 1 and IQR 3-8 on day 2) toileting events recorded each day. Toileting most commonly occurred at home (85/140, 61%, on day 1 and 129/171, 75%, on day 2) due to a need to go (114/140, 66%, on day 1 and 153/171, 74%, on day 2). The most common reasons for delaying toileting were "work duties" (33/140, 21%, on day 1 and 21/171, 11%, on day 2) and "errands or traveling" (19/140, 12%, on day 1 and 19/171, 10%, on day 2). Response to at least 1 look-back notification was similarly high (41/44, 93%, on day 1 and 42/44, 95%, on day 2), with number of responses higher on average on day 2 compared with day 1 (mean on day 1=3.2, 95% CI 3.0-3.5; mean on day 2=4.3, 95% CI 3.9-4.7; P<.001). Median additional toileting events reported on the look-back survey were 1 (IQR 1-2) and 2 (IQR 1-2) on days 1 and 2, respectively. Overall concordance between self-reported location recording and GPS was 76% (188/247). Participants reported lower urge ratings when at home versus away when reporting real-time toileting (median rating 61, IQR 41-84 vs 72, IQR 56-98), and daily fluid intake showed a small to medium positive correlation with toileting frequency (day 1 r=0.3, day 2 r=0.24). Toileting frequency reported in "Where I Go" showed a small positive correlation with the frequency item from the International Consultation on Incontinence Questionnaire (r=0.31 with day 1 toileting frequency and r=0.21 with day 2 toileting frequency).

Conclusions: "Where I Go" has potential to increase the understanding of factors that affect women's toileting decisions and long-term bladder health. We anticipate its use as a data collection tool in population-based studies.

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使用“Where I Go”评估环境、社会文化和生理对女性如厕决定和行为的影响:一款移动应用程序的试点研究。
背景:关于女性在如厕排尿时的决定以及这些决定如何影响对膀胱需求的即时行为,我们知之甚少。新的智能手机应用程序“Where I Go”在现实环境中捕捉到这种细微而精细的数据。目的:本研究旨在描述参与者对“我去哪里”的参与,收集到的新参数的变化,以及在基于人群的研究中使用数据收集工具的准备情况。方法:“我去哪里”有三个组成部分:(1)实时数据,(2)短回顾周期(3-4小时),(3)事件定位(每次交互时GPS记录)。样本量为44名女性。在2天的数据收集过程中,记录实时如厕事件并回答回顾问题。将参与者的自填位置描述与GPS自动记录进行比较。结果:共有44名平均年龄为44岁(范围21-85岁)的女性与该应用程序进行了互动。每天实时报告至少1次如厕事件的比例很高(第1天为38/ 44,86%,第2天为40/ 44,91%),每天记录如厕事件的中位数为5次(第1天为IQR 3-7,第2天为IQR 3-8)。个人卫生最常见的发生在家里(85/140,61%,1又129/171天,75%,2)天由于需要(114/140,66%,1又153/171天,74%,2)天。推迟个人卫生的最常见的原因是“工作职责”(33/140,21%,1又21/171天,11%,2天)和“差事或旅行”(19/140,12%,1又19/171天,10%,2)天。应对至少1回顾通知是同样高(41/44,93%,1又42/44天,95%,2天),与第1天相比,第2天的平均应答数更高(第1天的平均值=3.2,95% CI 3.0-3.5;第2天的平均值=4.3,95% CI 3.9-4.7;结论:“我去哪里”有可能增加对影响女性如厕决定和长期膀胱健康的因素的理解。我们期望将其用作基于人群的研究中的数据收集工具。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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