2018
DOI: 10.3390/asi1020014
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A Review of Medication Adherence Monitoring Technologies

Abstract: Medication non-adherence is a prevalent, complex problem. Failure to follow medication schedules may lead to major health complications, including death. Proper medication adherence is thus required in order to gain the greatest possible drug benefit during a patient's treatment. Interventions have been proven to improve medication adherence if deviations are detected. This review focuses on recent advances in the field of technology-based medication adherence approaches and pays particular attention to their … Show more

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Cited by 113 publications
(91 citation statements)
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References 152 publications
(209 reference statements)
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“…Indirect monitoring entails the use of technology devices for tracking activities that could signal when a patient has taken the drug or not. Many indirect adherence monitoring methods are device-facilitated by using various technologies [3,4]. Device-facilitated measuring can be classified into various categories such as sensor-based systems, proximity-based systems, vision-based systems, and fusion-based systems [4].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Indirect monitoring entails the use of technology devices for tracking activities that could signal when a patient has taken the drug or not. Many indirect adherence monitoring methods are device-facilitated by using various technologies [3,4]. Device-facilitated measuring can be classified into various categories such as sensor-based systems, proximity-based systems, vision-based systems, and fusion-based systems [4].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many indirect adherence monitoring methods are device-facilitated by using various technologies [3,4]. Device-facilitated measuring can be classified into various categories such as sensor-based systems, proximity-based systems, vision-based systems, and fusion-based systems [4]. The sensor-based system can be classified into three subclasses, which are smart pill containers, wearable sensors, and ingestible biosensors.…”
Section: Literature Reviewmentioning
confidence: 99%
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