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Area of Science:

  • Health Services Research
  • Clinical Epidemiology
  • Health Policy

Background:

  • Multimorbidity, defined as the presence of multiple chronic health conditions, is more common in adults than single conditions.
  • Choosing appropriate assessment tools for multimorbidity presents a significant challenge for researchers, clinicians, and policymakers.

Purpose of the Study:

  • To comprehensively review available instruments and data sources for assessing multimorbidity.
  • To provide evidence-based guidance for selecting the most appropriate multimorbidity measurement tools.

Main Methods:

  • Expert workshop convened by the National Institutes of Health (NIH) to review multimorbidity assessment instruments and data sources.
  • Identification of common purposes for multimorbidity measurement and evaluation of major data sources (e.g., electronic health records, surveys).
  • Survey and characterization of 15 instruments and 2 public health data systems, focusing on validity and selection criteria.

Main Results:

  • Five major data sources for multimorbidity assessment were identified, each with distinct advantages and disadvantages.
  • Guidance for instrument selection emphasizes aligning the measurement purpose with the chosen approach, data source, and relevant contextual factors.
  • Consideration of specific populations (e.g., underrepresented racial/ethnic groups, children, older adults) is crucial for accurate multimorbidity burden assessment.

Conclusions:

  • Appropriate selection of multimorbidity measurement tools, combined with data source integration, enhances assessment accuracy.
  • Electronic health record systems offer novel opportunities for comprehensive multimorbidity data collection.
  • Tailored measurement strategies are essential for accurately capturing the burden of multimorbidity across diverse patient populations.