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Related Experiment Video

Updated: Mar 24, 2026

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
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Predicting medication non-adherence in severe affective disorders.

J Scott1

  • 1Dept of Psychological Medicine,University of Glasgow,Glasgow,U.K.

Acta Neuropsychiatrica
|March 16, 2016
PubMed
Summary

The Health Belief Models (HBM) can help explain medication adherence in severe affective disorders. Patient beliefs about their illness and control are key factors, more so than side effects, for better adherence.

Area of Science:

  • Psychiatry
  • Behavioral Science
  • Pharmacology

Background:

  • Medication adherence is crucial for managing severe affective disorders.
  • The Health Belief Models (HBM) provide a framework for understanding health behaviors.
  • Limited research exists on HBM utility in medication adherence for these patient populations.

Purpose of the Study:

  • To explore the effectiveness of the Health Belief Models (HBM) in explaining medication adherence.
  • To identify key belief components influencing adherence in patients with severe affective disorders.
  • To compare patient and clinician perspectives on non-adherence reasons.

Main Methods:

  • Utilized validated instruments to assess HBM components and medication adherence.
  • Recruited 104 subjects with bipolar, unipolar, or schizo-affective disorders.

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  • Analyzed differences in adherence based on HBM constructs and serum drug levels.
  • Main Results:

    • Adherent patients showed more stable and adequate serum drug levels.
    • Beliefs about illness and perceived control were stronger predictors of adherence than side effects.
    • Significant discrepancies were noted between patient and clinician-reported reasons for non-adherence.

    Conclusions:

    • HBM components are valuable in understanding medication adherence in severe affective disorders.
    • Clinical assessment of HBM factors may enhance identification of at-risk patients.
    • Addressing patient beliefs and perceived control could improve mood stabilizer adherence.