Capturing and classifying functional status information in administrative databases.

Area of Science:

• Health Services Research
• Health Informatics
• Rehabilitation Medicine

Background:

• The US healthcare system aims to enhance patient functioning, but lacks comprehensive data to measure progress.
• Administrative data, commonly used for diagnoses and procedures, offer a foundation for broader health status reporting.
• Current administrative data do not adequately capture patient functional status across diverse care settings.

Purpose of the Study:

• To explore the implications of incorporating functional status information into national healthcare administrative databases.
• To identify a standardized method for consistently reporting functional status within the healthcare system.

Main Methods:

• Review of existing healthcare administrative data structures and their limitations.
• Analysis of the potential for integrating functional status codes into these databases.
• Consideration of the National Committee on Vital and Health Statistics (NCVHS) recommendations.

Main Results:

• Administrative data currently lack robust functional status information.
• The International Classification of Functioning, Disability and Health (ICF) is identified as a suitable code set.
• ICF provides a standardized framework for consistent functional status reporting across healthcare.

Conclusions:

• Incorporating ICF codes into administrative data is crucial for monitoring patient functioning.
• Standardized functional status data can improve healthcare quality assessment and delivery.
• The NCVHS endorsement highlights the ICF's importance for national health data initiatives.