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Medication adherence in asthma patients

Authors: Kaharu, Sumino; Michael D, Cabana;

Medication adherence in asthma patients

Abstract

Although current asthma guidelines stress the importance of assessing and enhancing adherence to asthma treatment, medication adherence rates in asthma patients are consistently low in practice. In this review, we summarize current literature on method of measurement, prevalence, outcome and intervention of medication adherence in asthma patients.Nonadherence to prescribed treatment continues to be a frequent problem in patients with asthma even in recent years. Objective measurement of adherence should be implemented whenever possible. Review of pharmacy refill data or electronic monitoring of inhaler actuation may be a preferred method to assess adherence. Educational programmes should be specifically designed to address the unmet need and specific reasons for nonadherence for the target population. Large, well designed clinical trials to assess the efficacy of remote electronic monitoring and reminder systems to improve adherence are needed.There is an urgent clinical need for systematic, proven methods to assess and address medication nonadherence in asthma patients.

Keywords

Treatment Outcome, Patient Education as Topic, Humans, Monitoring, Ambulatory, Anti-Asthmatic Agents, Asthma, Medication Adherence

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%
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