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Showing content from https://pubmed.ncbi.nlm.nih.gov/30702435/ below:

Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews

. 2019 Jan 31;7(1):e11919. doi: 10.2196/11919. Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews

Affiliations

¹ Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
² Collaboration for Outcomes Research and Evaluation, Vancouver, BC, Canada.
³ Arthritis Research Canada, Vancouver, BC, Canada.

PMID: 30702435
PMCID: PMC6374723
DOI: 10.2196/11919

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Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews

Jamie Yea Eun Park et al. JMIR Mhealth Uhealth. 2019.

. 2019 Jan 31;7(1):e11919. doi: 10.2196/11919. Affiliations

¹ Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
² Collaboration for Outcomes Research and Evaluation, Vancouver, BC, Canada.
³ Arthritis Research Canada, Vancouver, BC, Canada.

PMID: 30702435
PMCID: PMC6374723
DOI: 10.2196/11919

Item in Clipboard

Abstract

Background: With the accessibility and widespread use of mobile phones, mobile phone apps targeting medication adherence may be useful tools to help patients take medications as prescribed.

Objective: Our objectives were to (1) characterize and assess mobile phone medication adherence apps guided by a conceptual framework on the focus of adherence interventions and (2) conduct a content analysis of Web-based reviews to explore users' perspectives and experiences with mobile phone medication adherence apps.

Methods: We searched for mobile phone medication adherence apps using keyword searches in Apple and Android operating systems. We characterized all apps in terms of number of downloads, ratings, languages, cost, and disease target. We categorized apps according to 4 key features of (1) alerting to take medication, (2) tracking medication taking, (3) reminding to refill or indicating amount of medication left, and (4) storing medication information. We then selected representative apps from each operating system for detailed quality assessment and user testing. We also downloaded Web-based reviews for these selected apps and conducted a qualitative content analysis using an inductive approach involving steps of initial open coding, construction of categories, and abstraction into themes.

Results: We identified 704 apps (443 from Apple and 261 from Android). The majority of apps across both operating systems had 1 or 2 features-specifically, 37.2% (165/443) and 38.1% (169/443) of Apple apps, respectively, and 41.4% (108/261) and 31.4% (108/261) of Android apps, respectively. Quality assessment and user testing of 20 selected apps revealed apps varied in quality and commonly focused on behavioral strategies to enhance medication adherence through alerts, reminders, and logs. A total of 1323 eligible Web-based reviews from these 20 selected apps were analyzed, and the following themes emerged: (1) features and functions appreciated by users, which included the ability to set up customized medication regimen details and reminders, monitor other health information (eg, vitals, supplements, and manage multiple people or pets), support health care visits (eg, having a list of medications and necessary health information in 1 app); (2) negative user experiences that captured technical difficulties (glitches, confusing app navigation, and poor interoperability), dosage schedule, and reminder setup inflexibility; and (3) desired functions and features related to optimization of information input, improvement of reminders, and upgrading app performance (better synchronization or backup of data and interoperability).

Conclusions: A large number of mobile phone medication adherence apps are currently available. The majority of apps have features representing a behavioral approach to intervention. Findings of the content analysis offer mostly positive feedback as well as insights into current limitations and improvements that could be addressed in current and future medication adherence apps.

Keywords: mHealth; medication adherence; mobile apps.

©Jamie Yea Eun Park, Jenny Li, Alyssa Howren, Nicole Wen Tsao, Mary De Vera. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 31.01.2019.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures
Figure 1

Flow of smartphone medication adherence…

Figure 1

Flow of smartphone medication adherence apps included and most commonly used keywords (does…

Figure 1

Flow of smartphone medication adherence apps included and most commonly used keywords (does not add up to number of apps since multiple keywords may be used to identify an app).

Figure 2

Smartphone medication adherence apps according…

Figure 2

Smartphone medication adherence apps according to 4 key features: alerting (to take medication),…

Figure 2

Smartphone medication adherence apps according to 4 key features: alerting (to take medication), tracking (medication taking), reminding (to refill)/indicating (amount of medication left) and storing (medication information) for A. Apple and B. Android operating system.