Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness Using a Personalized Second-generation Digital System
Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Current pharmaceutical biotechnology - (2024) vom: 26. Jan. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bayatra, Areej [VerfasserIn] |
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| Links: |
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| Themen: |
Adherence |
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| Anmerkungen: |
Date Revised 30.01.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.2174/0113892010269461240110060035 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright© Bentham Science Publishers; For any queries, please email at epubbenthamscience.net. | ||
| 520 | |a 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 | ||
| 520 | |a METHODS: We review the relevant studies on the prevalence of low adherence and present some potential solutions | ||
| 520 | |a 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 | ||
| 520 | |a CONCLUSION: Improving clinically meaningful outcome measures and disease parameters may increase adherence and improve patients' response to therapy | ||
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| 700 | 1 | |a Ilan, Yaron |e verfasserin |4 aut | |
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