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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Nov 23, 2021
Open Peer Review Period: Nov 23, 2021 - Jan 18, 2022
Date Accepted: Jan 28, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

Mason M, Cho Y, Rayo J, Gong Y, Harris M, Jiang Y

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

JMIR Mhealth Uhealth 2022;10(3):e35157

DOI: 10.2196/35157

PMID: 35266873

PMCID: 8949687

Technologies for Monitoring Medication Adherence: A Narrative Review and Important Aspects to Consider for Technology Assessment

  • Madilyn Mason; 
  • Youmin Cho; 
  • Jessica Rayo; 
  • Yang Gong; 
  • Marcelline Harris; 
  • Yun Jiang

ABSTRACT

Background:

Accurately measuring and monitoring patient medication adherence is a global challenge due to the absence of “gold standard” methods for adherence measurement. Recent attentions have turned towards the adoption of technologies for medication adherence monitoring as they provide the opportunity for continuous tracking of individual medication adherence behavior. Yet, current medication adherence monitoring technologies vary by their technical features and methods of adherence data capture, leading to differences in their respective advantages and limitations. Overall, there is a lack of appropriate criteria to guide the assessment of medication adherence monitoring technologies for optimal adoption and utilization.

Objective:

This study aimed to provide a concise overview and summary of current medication adherence monitoring technologies and propose a set of technology assessment criteria to aid in the development and adoption of these technologies.

Methods:

A literature search was conducted on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (January 2010-June 2021) using the combination of keywords "medication adherence," "measurement technology," and "monitoring technology". The selection focused on studies related to medication adherence monitoring technology and its development and use. The technological features, methods of adherence data capture, and potential advantages and limitations of identified technology applications were extracted. Common, recurring elements were synthesized as potential technology assessment criteria.

Results:

Among 3865 articles retrieved, 98 remained for final review, which reported a variety of technology applications for monitoring medication adherence, including electronic pill bottles/boxes, ingestible sensors, electronic medication management systems, blister pack technology, patient self-report technology, video-based technology, and motion-sensor technology. The most commonly reported technologies included electronic pill bottles, electronic pillboxes, and ingestible sensors. Twenty-eight technology assessment criteria were identified and organized into five categories: Development Information, Technology Features, Medication Adherence Data Collection & Management, Feasibility & Implementation, and Acceptability and Usability.

Conclusions:

This study summarized the technical features, data capture methods, and various advantages and limitations of medication adherence monitoring technology reported in the literature and proposed criteria for assessing medication adherence monitoring technologies. This collection of assessment criteria may be a useful tool to guide the development and selection of relevant technology, facilitating the optimal adoption and effective use of technology to improve medication adherence outcomes. Future studies are suggested to further validate the medication adherence monitoring technology assessment criteria and construct an appropriate technology evaluation framework.


 Citation

Please cite as:

Mason M, Cho Y, Rayo J, Gong Y, Harris M, Jiang Y

Technologies for Medication Adherence Monitoring and Technology Assessment Criteria: Narrative Review

JMIR Mhealth Uhealth 2022;10(3):e35157

DOI: 10.2196/35157

PMID: 35266873

PMCID: 8949687

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