[Quality measurement using administrative data in mandatory quality assurance].

Area of Science:

• Health Services Research
• Health Informatics

Context:

• Stakeholders in Germany have advocated for using administrative data in mandatory quality measurement for years.
• Current quality assurance relies on extensive documentation, leading to high expenditures.

Purpose:

• To evaluate the feasibility and benefits of utilizing administrative data for mandatory quality measurement in Germany.
• To demonstrate the potential of administrative data in reducing costs and improving the scope of quality analyses.

Summary:

• Administrative data offers reduced documentary expenditures and enables longitudinal quality analyses across healthcare units.
• Implementation in decubitus ulcer prophylaxis exemplifies cost reduction (nine million data fields) and increased analytical population (tenfold event increase).

Impact:

• Significant reduction in coding expenditures for quality measurement.
• Expanded population analysis leading to a more than tenfold increase in quality-relevant events.
• Provides insights into the future potential and limitations of administrative data for quality measurement.