Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Self-reported adherence in patients with asthma.

Brian D De Smet1, Steven R Erickson, Duane M Kirking

  • 1Department of Pharmacy Services, University of Michigan Hospitals and Health Centers, Ann Arbor, 48109, USA.

The Annals of Pharmacotherapy
|March 2, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Role of Implicit Bias in Shaping Medication Prescribing Practices: A Scoping Review.

Journal of the American College of Clinical Pharmacy : JACCP·2026
Same author

Emergency Department Visits for Adverse Medication Events for Adults With Intellectual or Developmental Disabilities.

The Annals of pharmacotherapy·2026
Same author

Mirror, mirror on the wall: is CompEx the fairest endpoint of all?

ERJ open research·2026
Same author

Individual and Environmental Factors Associated With Polypsychotropic Medication Regimens Among Adults With Intellectual Disability.

American journal on intellectual and developmental disabilities·2025
Same author

Cost-related non-adherence to medications among adults with asthma in the USA, 2011-2022.

Thorax·2024
Same author

Framework for an interprofessional experience addressing health and disability for health professional students.

Currents in pharmacy teaching & learning·2024

Asthma medication adherence is linked to patient beliefs, perceived severity, and treatment duration. Understanding these factors can help improve how patients take their asthma controller drugs.

Area of Science:

  • Health Services Research
  • Behavioral Medicine
  • Pulmonology

Background:

  • Patient adherence to asthma medication regimens is often suboptimal.
  • The Behavioral Model of Health Services Utilization provides a framework (predisposing, enabling, need variables) for understanding adherence.
  • Identifying factors influencing adherence is crucial for improving asthma management.

Purpose of the Study:

  • To investigate the association between predisposing, enabling, and need variables and self-reported adherence to asthma controller medications.
  • To identify specific patient characteristics and beliefs that correlate with medication adherence in asthma patients.

Main Methods:

  • Secondary analysis of a cross-sectional study involving adults with asthma from a managed care organization.

Related Experiment Videos

  • Data collected via surveys and claims, including predisposing (demographics, beliefs), enabling (socioeconomic, access), and need (severity, quality of life) variables.
  • Multivariate regression analysis with stepwise backward elimination was used to identify significant predictors of adherence (p < 0.05).

    • Main Results:

    • The study included 573 adult asthma patients (45% response rate), predominantly white (89.5%) and female (71.0%).
    • A significant proportion (84.6%) reported some level of nonadherence (adherence score < 5).
    • Key predictors of better adherence included stronger beliefs in treatment benefits and trigger avoidance, higher perceived asthma severity, longer asthma duration, more metered-dose inhaler (MDI) instructors, and better mental health quality of life.

    Conclusions:

    • Adherent medication-taking behavior in asthma is influenced by a complex interplay of beliefs, perceptions, and patient experiences.
    • Predisposing, enabling, and need variables, particularly patient beliefs and perceptions, are associated with asthma medication adherence.
    • Future longitudinal research is recommended to confirm the predictive power of these variables in a dynamic model of adherence.