Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness using a Personalized Second-generation Digital System.
Curr Pharm Biotechnol
; 25(16): 2078-2088, 2024.
Article
in En
| MEDLINE
| ID: mdl-38288794
ABSTRACT
INTRODUCTION:
Low adherence to chronic treatment regimens is a significant barrier to improving clinical outcomes in patients with chronic diseases. Low adherence is a result of multiple factors.METHODS:
We review the relevant studies on the prevalence of low adherence and present some potential solutions.RESULTS:
This review presents studies on the current measures taken to overcome low adherence, indicating a need for better methods to deal with this problem. The use of first-generation digital systems to improve adherence is mainly based on reminding patients to take their medications, which is one of the reasons they fail to provide a solution for many patients. The establishment of a second-generation artificial intelligence system, which aims to improve the effectiveness of chronic drugs, is described.CONCLUSION:
Improving clinically meaningful outcome measures and disease parameters may increase adherence and improve patients' response to therapy.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Medication Adherence
Type of study:
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Curr Pharm Biotechnol
Journal subject:
BIOTECNOLOGIA
/
FARMACOLOGIA
Year:
2024
Document type:
Article
Affiliation country:
Israel
Country of publication:
Netherlands