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多组分数字治疗移动应用程序对慢性病患者药物依从性的影响:回顾性分析。

Impact of a Multicomponent Digital Therapeutic Mobile App on Medication Adherence in Patients with Chronic Conditions: Retrospective Analysis.

机构信息

Graduate School of Health, University of Technology Sydney, Sydney, Australia.

Pharmaceutical Care Research Group, University of Granada, Granada, Spain.

出版信息

J Med Internet Res. 2020 Aug 12;22(8):e17834. doi: 10.2196/17834.

Abstract

BACKGROUND

Strategies to improve medication adherence are widespread in the literature; however, their impact is limited in real practice. Few patients persistently engage long-term to improve health outcomes, even when they are aware of the consequences of poor adherence. Despite the potential of mobile phone apps as a tool to manage medication adherence, there is still limited evidence of the impact of these innovative interventions. Real-world evidence can assist in minimizing this evidence gap.

OBJECTIVE

The objective of this study was to analyze the impact over time of a previously implemented digital therapeutic mobile app on medication adherence rates in adults with any chronic condition.

METHODS

A retrospective observational study was performed to assess the adherence rates of patients with any chronic condition using Perx Health, a digital therapeutic that uses multiple components within a mobile health app to improve medication adherence. These components include gamification, dosage reminders, incentives, educational components, and social community components. Adherence was measured through mobile direct observation of therapy (MDOT) over 3-month and 6-month time periods. Implementation adherence, defined as the percentage of doses in which the correct dose of a medication was taken, was assessed across the study periods, in addition to timing adherence or percentage of doses taken at the appropriate time (±1 hour). The Friedman test was used to compare differences in adherence rates over time.

RESULTS

We analyzed 243 and 130 patients who used the app for 3 months and 6 months, respectively. The average age of the 243 patients was 43.8 years (SD 15.5), and 156 (64.2%) were female. The most common medications prescribed were varenicline, rosuvastatin, and cholecalciferol. The median implementation adherence was 96.6% (IQR 82.1%-100%) over 3 months and 96.8% (IQR 87.1%-100%) over 6 months. Nonsignificant differences in adherence rates over time were observed in the 6-month analysis (Fr(2)=4.314, P=.505) and 3-month analysis (Fr(2)=0.635, P=.728). Similarly, the timing adherence analysis revealed stable trends with no significant changes over time.

CONCLUSIONS

Retrospective analysis of users of a medication adherence management mobile app revealed a positive trend in maintaining optimal medication adherence over time. Mobile technology utilizing gamification, dosage reminders, incentives, education, and social community interventions appears to be a promising strategy to manage medication adherence in real practice.

摘要

背景

提高药物依从性的策略在文献中广泛存在;然而,它们在实际实践中的影响是有限的。很少有患者能够长期坚持改善健康结果,即使他们意识到药物依从性差的后果。尽管移动电话应用程序作为管理药物依从性的工具具有潜力,但这些创新干预措施的影响仍缺乏证据。真实世界的证据可以帮助缩小这一证据差距。

目的

本研究的目的是分析先前实施的数字治疗移动应用程序对患有任何慢性疾病的成年人药物依从率的长期影响。

方法

进行了一项回顾性观察研究,以使用 Perx Health 评估任何慢性疾病患者的药物依从率,Perx Health 是一种数字治疗方法,它使用移动健康应用程序中的多个组件来提高药物依从性。这些组件包括游戏化、剂量提醒、奖励、教育组件和社交社区组件。通过移动直接观察治疗(MDOT)在 3 个月和 6 个月的时间段内测量依从率。在整个研究期间,评估了实施依从性,即正确服用药物剂量的剂量百分比,以及时间依从性或在适当时间(±1 小时)服用的剂量百分比。使用 Friedman 检验比较随时间变化的依从率差异。

结果

我们分析了分别使用该应用程序 3 个月和 6 个月的 243 名和 130 名患者。243 名患者的平均年龄为 43.8 岁(SD 15.5),156 名(64.2%)为女性。最常开的药物是伐伦克林、瑞舒伐他汀和胆钙化醇。在 3 个月的时间里,实施依从性的中位数为 96.6%(IQR 82.1%-100%),在 6 个月的时间里为 96.8%(IQR 87.1%-100%)。在 6 个月的分析(Fr(2)=4.314,P=.505)和 3 个月的分析(Fr(2)=0.635,P=.728)中,均未观察到随时间变化的依从率的显著差异。同样,时间依从性分析显示出稳定的趋势,随时间没有明显变化。

结论

对药物依从性管理移动应用程序用户的回顾性分析显示,随着时间的推移,维持最佳药物依从性呈积极趋势。利用游戏化、剂量提醒、奖励、教育和社交社区干预措施的移动技术似乎是在实际实践中管理药物依从性的一种有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f242/7450368/792c024e7735/jmir_v22i8e17834_fig1.jpg

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