Self-Efficacy, Depressive Symptoms, and Patients’ Expectations Predict Outcomes in Asthma

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Abstract

Background.

Certain psychosocial variables are relatively unexplored as possible predictors of asthma outcomes.

Objective.

To determine if asthma self-efficacy, depressive symptoms, and unrealistic expectations predict urgent care use and change in health-related quality of life measured by the Asthma Quality of Life Questionnaire and the SF-36 during 2 years.

Research Design.

Prospective cohort study in a primary care internal medicine practice at a tertiary care center in New York City.

Patients.

Adults with moderate asthma who were fluent in either English or Spanish.

Measurements.

At enrollment patients were interviewed in-person and completed a series of questionnaires including the Asthma Quality of Life Questionnaire (AQLQ), the SF-36, the Asthma Self-efficacy Scale, the Geriatric Depression Scale, and open-ended questions regarding their expectations of treatment. Patients also completed the AQLQ and SF-36 at various time intervals throughout the study and were interviewed by telephone every 3 months to record recent hospitalizations, emergency department visits and nonroutine office visits for asthma.

Results.

A total of 224 patients were followed for a mean of 23.8 months. In hierarchical analysis, independent predictors of lower AQLQ scores were less self-efficacy, more depressive symptoms, expecting to be cured of asthma, requiring methylxanthines, being Hispanic or black, and having difficult or very difficult access to asthma care (all at P <0.05). Similar predictors were found for lower SF-36 scores. Another outcome, use of urgent care, was required by 60% of patients during the study period. Predictors of using urgent care were having more depressive symptoms, expecting a cure, being female, requiring oral β-agonists, and having a history of prior hospitalizations for asthma (all at P <0.05).

Conclusions.

Less asthma self-efficacy, more depressive symptoms, and unrealistic expectations predict worse asthma outcomes. These relatively unexplored patient-centered variables in asthma are potentially modifiable and may offer new ways to intervene to improve asthma outcomes.

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