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Theoretical and methodological issues in psychiatric comorbidity.

M P Bogenschutz1, H G Nurnberg

  • 1Department of Psychiatry, University of New Mexico Medical School, Albuquerque 87131-5326, USA.

Harvard Review of Psychiatry
|May 29, 2000
PubMed
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This study examines real and artifactual comorbidity, highlighting factors like diagnostic criteria overlap and bias. Understanding these factors is crucial for advancing psychiatric nosology and clarifying illness boundaries.

Area of Science:

  • Psychiatry
  • Clinical Psychology
  • Medical Diagnosis

Background:

  • The co-occurrence of multiple diagnoses in a single patient, known as comorbidity, is a significant clinical and theoretical issue.
  • Distinguishing between true comorbidity and artifactual associations is essential for accurate diagnosis and treatment.
  • Previous research has identified various factors contributing to spurious comorbidity.

Purpose of the Study:

  • To review the factors contributing to both real and artifactual comorbidity.
  • To discuss key causes of spurious comorbidity, such as diagnostic invalidity and bias.
  • To illustrate these concepts with examples like schizophrenia and substance use disorders, and PTSD and major depression.

Main Methods:

  • Literature review of factors influencing comorbidity.

Related Experiment Videos

  • Analysis of diagnostic paradigms and criteria.
  • Case study illustrations of specific comorbid conditions.

    • Main Results:

    • Identified invalidity of individual diagnoses, inappropriate diagnostic paradigms, descriptive overlap, ascertainment bias, and diagnostic bias as causes of spurious comorbidity.
    • Demonstrated the complexity of comorbidity using examples of schizophrenia with substance use disorders and PTSD with major depression.
    • Highlighted the impact of diagnostic methodology on perceived comorbidity.

    Conclusions:

    • Clarifying the distinction between real and artifactual comorbidity is vital for psychiatric advancement.
    • The study of comorbidity aids in refining illness categories and understanding their interrelationships.
    • Accurate diagnostic practices are essential to avoid artifactual comorbidity and improve patient care.