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Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
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The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Comorbidity indices.

A Moltó1, M Dougados

  • 1Paris Descartes University, Rheumatology Department, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, INSERM (U1153): Clinical Epidemiology and Biostatistics, PRES Sorbonne Paris-Cité, France. anna.molto@cch.aphp.fr.

Clinical and Experimental Rheumatology
|November 4, 2014
PubMed
Summary
This summary is machine-generated.

Summarizing patient comorbidities using indices like the Charlson Comorbidity Index (CCI) or Elixhauser Comorbidity Measure (ECM) aids clinical analysis. Self-administered questionnaires offer a practical alternative for assessing these coexisting conditions.

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Area of Science:

  • Clinical Medicine
  • Health Services Research
  • Epidemiology

Background:

  • Comorbidities significantly impact disease diagnosis, clinical analysis, and patient outcomes, increasing morbidity and mortality.
  • Efficiently summarizing multiple comorbidities into a single score is desirable for clinical practice and research.
  • Existing comorbidity indices and questionnaires aim to quantify the burden of coexisting conditions.

Purpose of the Study:

  • To review and compare common comorbidity indices and questionnaires.
  • To discuss the utility and limitations of these tools in clinical research.

Main Methods:

  • Review of established comorbidity indices: Charlson Comorbidity Index (CCI) and Elixhauser et al. Comorbidity Measure (ECM).
  • Discussion of the methodologies used in constructing the CCI (mortality-based weights) and ECM (administrative data).
  • Consideration of self-administered questionnaires as an alternative assessment method.

Main Results:

  • The Charlson Comorbidity Index (CCI) uses 16 weighted diseases based on mortality data.
  • The Elixhauser et al. Comorbidity Measure (ECM) identifies 30 comorbidities impacting short-term outcomes in hospitalized patients.
  • While ECM shows better validity, the CCI may be preferred due to feasibility, and questionnaires offer a reliable alternative.

Conclusions:

  • Comorbidity indices like CCI and ECM are valuable tools for summarizing patient health status.
  • The choice between CCI and ECM may depend on research feasibility and specific outcome measures.
  • Self-administered questionnaires present a valid and reliable method for comorbidity assessment in prospective studies.