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Innovative Approaches to Enhance and Measure Medication Adherence in Chronic Disease Management: A Review
Michał Gackowski1, Magdalena Jasińska-Stroschein2, Tomasz Osmałek1
1Chair and Department of Pharmaceutical Technology, Poznań University of Medical Sciences, Poznań, Poland.
Summary
Medication non-adherence impacts many chronic disease patients, hindering treatment success. This review explores objective adherence measurement tools, including electronic devices and biosensors, to improve patient outcomes.
Area of Science:
- Pharmacology
- Health Informatics
- Patient Adherence Research
Background:
- Medication non-adherence affects up to 50% of patients with chronic diseases, leading to poor therapeutic outcomes and increased healthcare costs.
- Accurate assessment of patient adherence is crucial for effective disease management and healthcare system efficiency.
Purpose of the Study:
- To review current objective and subjective methods for measuring patient medication adherence.
- To highlight recent technological advancements in adherence monitoring, including electronic devices, biosensors, and artificial intelligence.
- To discuss the advantages, limitations, and future directions of patient adherence measurement techniques.
Main Methods:
- Review of current literature on medication adherence measurement tools.
- Detailed examination of objective adherence assessment methods: electronic monitoring devices, video-observed therapy, and ingestible biosensors.
- Exploration of emerging technologies: artificial intelligence (AI) algorithms for mobile applications and ingestible biosensors.
- Inclusion of a section on AI/machine learning in adherence measurement and a review of disease-specific questionnaires and scales.
Main Results:
- Electronic medication packaging devices represent a rapidly evolving method for adherence measurement.
- Ingestible biosensors offer high accuracy in adherence monitoring but are currently very expensive.
- AI and machine learning are increasingly utilized to develop adherence monitoring applications for mobile devices.
Conclusions:
- Objective adherence measurement methods, particularly electronic devices and biosensors, show significant promise for improving patient adherence.
- Technological advancements, including AI, are crucial for developing innovative solutions to combat medication non-adherence.
- Further research and development are needed to overcome limitations such as cost and accessibility, ultimately aiming to enhance patient therapeutic goals and reduce healthcare system burden.
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