Literature DB >> 16889278

Adherence to treatment: assessment of an unmet need in asthma.

I Baiardini1, F Braido, A Giardini, G Majani, C Cacciola, A Rogaku, A Scordamaglia, G W Canonica.   

Abstract

BACKGROUND: In asthma, as in other chronic conditions, poor adherence to treatment and to medical advice is common and contributes to substantial worsening of the disease and increased health care costs.
OBJECTIVE: The aim of the present study was to evaluate patients' self-reported adherence to asthma medication regimens and to identify possible correlations between treatment adherence and depression, anxiety, and coping strategies.
METHODS: Sixty-three asthmatic outpatients (27 men and 36 women; mean age +/- SD, 38.5 +/- 14.1) were consecutively enrolled during their routine control visit. Patients were asked to complete 3 different questionnaires: the Adherence Schedule in Asthma, the Hospital Anxiety and Depression Scale, and the Coping Orientations to Problem Experienced questionnaires.
RESULTS: Depression was detected in 32.3% of patients and anxiety in 34.9%. A negative correlation was found between older age and perception of family support (rho = -0.33). The presence of anxiety displayed a positive correlation with difficulty in accepting the illness (rho = 0.33) and a negative correlation with acceptance of illness limitations (p = -0.30); it was also positively correlated with fear of the side effects of medication (rho = 0.37). The presence of depression was negatively correlated with acceptance of illness limitations (rho = -0.32), knowledge of the illness (p = -0.29), and with ability to identify worsening signs (rho = -0.31).
CONCLUSION: This study shows how different factors may modulate adherence to asthma treatment. The opportunity to identify reasons for nonadherence through a simple assessment will allow a tailored intervention to be planned for each patient.

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Year:  2006        PMID: 16889278

Source DB:  PubMed          Journal:  J Investig Allergol Clin Immunol        ISSN: 1018-9068            Impact factor:   4.333


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