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移动医疗应用程序的痛风用户参与度与自我护理行为改善之间的关联:随机对照试验。

Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial.

机构信息

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

General Practice and Primary Healthcare, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

出版信息

JMIR Mhealth Uhealth. 2019 Aug 13;7(8):e15021. doi: 10.2196/15021.


DOI:10.2196/15021
PMID:31411147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6711037/
Abstract

BACKGROUND: Mobile health (mHealth) apps represent a promising approach for improving health outcomes in patients with chronic illness, but surprisingly few mHealth interventions have investigated the association between user engagement and health outcomes. We aimed to examine the efficacy of a recommended, commercially available gout self-management app for improving self-care behaviors and to assess self-reported user engagement of the app in a sample of adults with gout. OBJECTIVE: Our objective was to examine differences in self-reported user engagement between a recommended gout app (treatment group) and a dietary app (active control group) over 2 weeks as well as to examine any differences in self-care behaviors and illness perceptions. METHODS: Seventy-two adults with gout were recruited from the community and three primary and secondary clinics. Participants were randomized to use either Gout Central (n=36), a self-management app, or the Dietary Approaches to Stop Hypertension Diet Plan (n=36), an app based on a diet developed for hypertension, for 2 weeks. The user version of the Mobile Application Rating Scale (uMARS, scale: 1 to 5) was used after the 2 weeks to assess self-reported user engagement, which included an open-ended question. Participants also completed a self-report questionnaire on self-care behaviors (scale: 1-5 for medication adherence and diet and 0-7 for exercise) and illness perceptions (scale: 0-10) at baseline and after the 2-week trial. Independent samples t tests and analysis of covariance were used to examine differences between groups at baseline and postintervention. RESULTS: Participants rated the gout app as more engaging (mean difference -0.58, 95% CI -0.96 to -0.21) and more informative (mean difference -0.34, 95% CI -0.67 to -0.01) than the dietary app at the 2-week follow-up. The gout app group also reported a higher awareness of the importance of gout (mean difference -0.64, 95% CI -1.27 to -0.003) and higher knowledge/understanding of gout (mean difference -0.70, 95% CI -1.30 to -0.09) than the diet app group at follow-up. There were no significant differences in self-care behaviors between the two groups postintervention. The gout app group also demonstrated stronger negative beliefs regarding the impact of gout (mean difference -2.43, 95% CI -3.68 to -1.18), stronger beliefs regarding the severity of symptoms (mean difference -1.97, 95% CI -3.12 to -0.82), and a stronger emotional response to gout (mean difference -2.38, 95% CI -3.85 to -0.90) at follow-up. Participant feedback highlighted the importance of tracking health-related information, customizing to the target group/individual, providing more interactive features, and simplifying information. CONCLUSIONS: Participants found the commercially available gout app more engaging. However, these findings did not translate into differences in self-care behaviors. The gout app group also demonstrated stronger negative illness perceptions at the follow-up. Overall, these findings suggest that the development of gout apps would benefit from a user-centered approach with a focus on daily, long-term self-care behaviors as well as modifying illness beliefs. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12617001052325; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373217.

摘要

背景:移动医疗(mHealth)应用程序是改善慢性病患者健康结果的有前途的方法,但令人惊讶的是,很少有 mHealth 干预措施研究用户参与度与健康结果之间的关系。我们旨在研究一种推荐的、商业上可用的痛风自我管理应用程序在改善自我护理行为方面的功效,并评估该应用程序在痛风患者样本中的自我报告用户参与度。

目的:我们的目的是在两周内检查推荐的痛风应用程序(治疗组)和饮食应用程序(主动对照组)之间自我报告的用户参与度的差异,以及检查自我护理行为和疾病认知方面的任何差异。

方法:从社区和三个初级和二级诊所招募了 72 名痛风患者。参与者被随机分配使用 Gout Central(n=36),一种自我管理应用程序,或基于为高血压开发的饮食的 Dietary Approaches to Stop Hypertension Diet Plan(n=36),用于高血压的应用程序,为期两周。两周后使用移动应用程序评级量表(uMARS,量表:1-5)评估自我报告的用户参与度,包括一个开放式问题。参与者还在基线和 2 周试验后完成了自我报告问卷,用于自我护理行为(量表:1-5 用于药物依从性和饮食,0-7 用于运动)和疾病认知(量表:0-10)。使用独立样本 t 检验和协方差分析来检查基线和干预后组间的差异。

结果:参与者在两周随访时认为痛风应用程序更具吸引力(平均差异-0.58,95%置信区间-0.96 至-0.21),比饮食应用程序更具信息量(平均差异-0.34,95%置信区间-0.67 至-0.01)。痛风应用程序组在随访时还报告了更高的对痛风重要性的认识(平均差异-0.64,95%置信区间-1.27 至-0.003)和更高的对痛风的知识/理解(平均差异-0.70,95%置信区间-1.30 至-0.09)比饮食应用程序组。两组在干预后自我护理行为没有显著差异。痛风应用程序组还表现出对痛风影响的更强的负面信念(平均差异-2.43,95%置信区间-3.68 至-1.18)、对症状严重程度的更强信念(平均差异-1.97,95%置信区间-3.12 至-0.82)和对痛风的更强的情绪反应(平均差异-2.38,95%置信区间-3.85 至-0.90)在随访时。参与者的反馈强调了跟踪健康相关信息、针对目标群体/个人进行定制、提供更多互动功能和简化信息的重要性。

结论:参与者发现商业上可用的痛风应用程序更具吸引力。然而,这些发现并没有转化为自我护理行为的差异。痛风应用程序组在随访时也表现出更强的负面疾病认知。总的来说,这些发现表明,痛风应用程序的开发将受益于以用户为中心的方法,重点是日常、长期的自我护理行为以及改变疾病信念。

试验注册:澳大利亚和新西兰临床试验注册中心 ACTRN12617001052325;https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373217。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f36e/6711037/7776127a58f3/mhealth_v7i8e15021_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f36e/6711037/7776127a58f3/mhealth_v7i8e15021_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f36e/6711037/7776127a58f3/mhealth_v7i8e15021_fig1.jpg

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本文引用的文献

[1]
Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University.

JMIR Mhealth Uhealth. 2019-1-23

[2]
Gout in Aotearoa New Zealand: the equity crisis continues in plain sight.

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Front Psychiatry. 2018-10-18

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mHealth App Patient Testing and Review of Educational Materials Designed for Self-Management of Gout Patients: Descriptive Qualitative Studies.

JMIR Mhealth Uhealth. 2018-10-15

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Telemed J E Health. 2018-7-3

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Semin Arthritis Rheum. 2017-10-7

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BMC Musculoskelet Disord. 2017-11-23

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JMIR Mhealth Uhealth. 2017-6-29

[10]
The Dietary Approaches to Stop Hypertension (DASH) diet, Western diet, and risk of gout in men: prospective cohort study.

BMJ. 2017-5-9

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