Measuring healthcare productivity - from unit to system level

Area of Science:

• Healthcare Management
• Health Economics
• Operations Research

Background:

• Rising healthcare expenditures in Western countries necessitate efficient productivity metrics.
• Traditional productivity measurement often occurs in silos at unit, organizational, or system levels.
• Sub-optimization risks arise from isolated productivity assessments.

Purpose of the Study:

• To focus on healthcare production system productivity measurement.
• To address the challenges of measuring productivity across different healthcare levels.
• To link productivity measurement with incentives for improved system performance.

Main Methods:

• Review of existing healthcare productivity measurement methods and parameters.
• Introduction of novel approaches for multi-level productivity assessment.
• Pilot investigation to test developed measures and illustrate practical challenges.

Main Results:

• The study presents various approaches and methods for measuring healthcare productivity.
• It highlights the challenges inherent in productivity measurement at different organizational tiers.
• A pilot study demonstrates the practical applicability and benefits of the proposed measures.

Conclusions:

• Effective productivity measurement requires a holistic view of the entire healthcare production system.
• Integrating unit, organizational, and system-level perspectives, including patient-centric approaches, is vital.
• The findings offer practical insights for managers to improve healthcare efficiency and avoid sub-optimization.