Department of Pharmacy, Faculty of Science, National University of Singapore, Republic of Singapore.
Department of Biological Sciences, Faculty of Science, National University of Singapore, Republic of Singapore.
Res Social Adm Pharm. 2018 Dec;14(12):1125-1133. doi: 10.1016/j.sapharm.2018.01.006. Epub 2018 Feb 27.
With the recent proliferation of smartphone medication adherence applications (apps), it is increasingly more difficult for patients and clinicians to identify the most useful app.
To develop a quality assessment tool for medication adherence apps, and evaluate the quality of such apps from the major app stores.
In this study, a Medication Adherence App Quality assessment tool (MedAd-AppQ) was developed and two evaluators independently assessed apps that fulfilled the following criteria: availability in English, had at least a medication reminder feature, non-specific to certain disease conditions (generic apps), free of technical malfunctions and availability on both the iPhone Operating System (iOS) and Android platforms. Descriptive statistics, Mann-Whitney U test, Pearson product moment correlation and Spearman rank-order correlation were used for statistical analysis.
MedAd-AppQ was designed to have 24 items (total 43 points) categorized under three sections: content reliability (11 points), feature usefulness (29 points) and feature convenience (3 points). The three sections of MedAd-AppQ were found to have inter-rater correlation coefficients of 0.801 (p-value < .001) or higher. Based on analysis of 52 apps (27 iOS and 25 Android), quality scores ranged between 7/43 (16.3%) and 28/43 (65.1%). There was no significant difference between the quality scores of the Android and iOS versions. None of the apps had features for self-management of side effects. Only two apps in each platform provided disease-related and/or medication information.
MedAd-AppQ can be used to reliably assess the quality of adherence apps. Clinicians can use the tool in selecting apps for use by patients. Developers of adherence apps should consider features that provide therapy-related information and help patients in medications and side-effects management.
随着智能手机用药依从性应用程序(apps)的最近激增,患者和临床医生越来越难以识别最有用的应用程序。
开发一种用于评估药物依从性应用程序的质量评估工具,并从主要应用商店评估此类应用程序的质量。
在这项研究中,开发了一种药物依从性应用程序质量评估工具(MedAd-AppQ),并由两名评估人员独立评估符合以下标准的应用程序:英语可用,至少具有药物提醒功能,不针对特定疾病状况(通用应用程序),无技术故障,并且在 iPhone 操作系统(iOS)和 Android 平台上均可使用。用于统计分析的方法包括描述性统计、Mann-Whitney U 检验、Pearson 积矩相关和 Spearman 秩相关。
MedAd-AppQ 设计有 24 个项目(总分 43 分),分为三个部分:内容可靠性(11 分)、功能实用性(29 分)和功能便利性(3 分)。MedAd-AppQ 的三个部分的评分者间相关系数为 0.801(p 值<0.001)或更高。通过对 52 个应用程序(27 个 iOS 和 25 个 Android)的分析,质量评分在 7/43(16.3%)和 28/43(65.1%)之间。Android 和 iOS 版本的质量评分没有显著差异。没有一个应用程序具有用于管理副作用的自我管理功能。在每个平台上只有两个应用程序提供了与疾病相关的和/或药物信息。
MedAd-AppQ 可用于可靠地评估依从性应用程序的质量。临床医生可以使用该工具为患者选择应用程序。依从性应用程序的开发者应考虑提供与治疗相关的信息并帮助患者管理药物和副作用的功能。