Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The <30 Days Study
Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The <30 Days Study
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DOI：
10.2196/mhealth.4730
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发表时间：
2016-01-01
影响因子：
5
通讯作者：
Cafazzo, Joseph A.
中科院分区：
文献类型：
--
作者：
Goyal, Shivani;Morita, Plinio P.;Cafazzo, Joseph A.
背景：生活方式行为改变可以降低心血管疾病的风险，这是全球主要死亡原因之一，高达80%。我们假设，一个动态的风险评估和行为改变工具，作为一个移动的应用程序，由一个著名的非营利组织托管，将促进社区成员的吸收。我们还预测，下载移动的app的激励措施会影响使用率。目的：我们研究的主要目的是评估使用新型风险管理app的参与者的参与水平。次要目的是评估激励措施对整体使用率和使用行为的影响。方法：我们通过iTunes App Store公开发布了该应用程序，并收集了5个月的使用数据。汇总信息包括关于下载率、使用、风险因素和用户人口统计学的人口水平数据。我们使用描述性统计来确定使用模式，t检验和方差分析来比较组平均值。相关性和回归分析确定的使用和人口统计学variables.Results之间的关系：我们捕获了详细的移动的使用数据，从69,952用户在5个月的时间内，其中23,727（33.92%）注册在1个月的AIR MILES推广。在完成风险评估的受试者中，73.92%（42，380/57，330）为女性，59.38%（34，042/57，330）为≥ 51岁的受试者下载了应用程序，老年人群比年轻人群完成了更多挑战（F-8，F- 52，F-422=55.10，P22挑战）。平均而言，在干预的前30天内，激励组的用户完成的挑战（平均值7.9，SD 0.13）略高于非激励组（平均值6.1，SD 0.06，t（28870）=-12.293，P
Background: Lifestyle behavior modification can reduce the risk of cardiovascular disease, one of the leading causes of death worldwide, by up to 80%. We hypothesized that a dynamic risk assessment and behavior change tool delivered as a mobile app, hosted by a reputable nonprofit organization, would promote uptake among community members. We also predicted that the uptake would be influenced by incentives offered for downloading the mobile app.Objective: The primary objective of our study was to evaluate the engagement levels of participants using the novel risk management app. The secondary aim was to assess the effect of incentives on the overall uptake and usage behaviors.Methods: We publicly launched the app through the iTunes App Store and collected usage data over 5 months. Aggregate information included population-level data on download rates, use, risk factors, and user demographics. We used descriptive statistics to identify usage patterns, t tests, and analysis of variance to compare group means. Correlation and regression analyses determined the relationship between usage and demographic variables.Results: We captured detailed mobile usage data from 69,952 users over a 5-month period, of whom 23,727 (33.92%) were registered during a 1-month AIR MILES promotion. Of those who completed the risk assessment, 73.92% (42,380/57,330) were female, and 59.38% (34,042/57,330) were = 51 years old downloading the app, the older demographic completed more challenges than their younger counterparts (F-8,F- 52,F-422=55.10, P22 challenges. On average, users in the incentives group completed slightly more challenges during the first 30 days of the intervention (mean 7.9, SD 0.13) than those in the nonincentives group (mean 6.1, SD 0.06, t(28870)=-12.293, P