A Multi-sourced Data Analytics Approach to Measuring and Assessing Biopsychosocial Complexity: The Vancouver...

Area of Science:

• Health Services Research
• Digital Health
• Primary Care Informatics

Background:

• Implementing core primary care functions like empanelment and population management in Community Health Centers necessitates accurate, real-time patient complexity data.
• Existing tools often focus on disease-specific assessments, lacking a comprehensive biopsychosocial perspective.

Purpose of the Study:

• To describe the development of a novel software tool, the VCAT-Complexity Module.
• To enable real-time calculation and reporting of person-oriented biopsychosocial complexity profiles.
• To support the operationalization of primary care building blocks within Community Health Centers.

Main Methods:

• Conceptualization, design, and development of the VCAT-Complexity Module software.
• Integration of multiple data sources for comprehensive patient assessment.
• Application of a profile approach to conceptualize health outcomes.

Main Results:

• The VCAT-Complexity Module was developed to provide real-time biopsychosocial complexity scores.
• The tool aligns with a profile approach, offering an advance over disease-oriented measures.
• Face validity and practical implications for primary care development were assessed.

Conclusions:

• The VCAT-Complexity Module offers a significant advancement in assessing biopsychosocial complexity for primary care.
• Real-time complexity profiling can enhance functions critical to Community Health Center development.
• The tool has practical implications for primary care strategy within Vancouver Coastal Health.