Predictors of perceived asthma control among patients managed in primary care clinics.

Objective: To estimate the extent to which symptom status, physical activity, beliefs about medications, self-efficacy, emotional status, and healthcare utilization predict perceived asthma control over a period of 16 months among a primary care population.Methods: The current study is a secondary a...

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Publicado en:Quality of Life Research Vol. 24; no. 1; pp. 55 - 66
Autores principales: Eilayyan, Owis, Gogovor, Amede, Mayo, Nancy, Ernst, Pierre, Ahmed, Sara
Formato: research Journal Article
Publicado: Springer Nature Jan2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2015
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        atl: Predictors of perceived asthma control among patients managed in primary care clinics.
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          Eilayyan, Owis
          Gogovor, Amede
          Mayo, Nancy
          Ernst, Pierre
          Ahmed, Sara
      sug:
        subj:
          Asthma Psychosocial Factors
          Asthma Therapy
          Attitude to Health
          Motor Activity
          Quality of Life
          Adult
          Ambulatory Care Facilities Utilization
          Asthma Diagnosis
          Chronic Disease
          Female
          Human
          Prospective Studies
          Male
          Middle Age
          Perception
          Primary Health Care Utilization
          Questionnaires
          Self-Efficacy
          Treatment Outcomes
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Objective: To estimate the extent to which symptom status, physical activity, beliefs about medications, self-efficacy, emotional status, and healthcare utilization predict perceived asthma control over a period of 16 months among a primary care population.Methods: The current study is a secondary analysis of data from a longitudinal study that examined health outcomes of asthma among participants recruited from primary care clinics. Path analysis, based on the Wilson and Cleary and International Classification of Functioning, Disability and Health frameworks, was used to estimate the predictors of perceived asthma control.Results: The path analysis identified initial perceived asthma control asthma (β = 0.43, p < 0.0001), symptoms (β = 0.35, p < 0.0001), physical activity (β = 0.27, p < 0.0001), and self-efficacy (β = 0.29, p < 0.0001) as significant predictors of perceived asthma control (total effects, i.e., direct and indirect), while emotional status (β = 0.08, p = 0.03) was a significant indirect predictor through physical activity. The model explained 24 % of the variance of perceived asthma control. Overall, the model fits the data well (χ (2) = 6.65, df = 6, p value = 0.35, root-mean-square error of approximation = 0.02, Comparative Fit Index = 0.999, and weighted root-mean-square residual = 0.27).Conclusion: Initial perceived asthma control, current symptoms status, physical activity, and self-efficacy can be used to identify individuals likely to have good perceived asthma control in the future. Emotional status also has an impact on perceived asthma control mediated through physical activity and should be considered when planning patient management. Identifying these predictors is important to help the care team tailor interventions that will allow individuals to optimally manage their asthma, to prevent exacerbations, to prevent other respiratory-related chronic disease, and to maximize quality of life.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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