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The efficiency of hospital-based clusters: evaluating system performance using data envelopment analysis.

Veronica Sikka¹, Roice D Luke, Yasar A Ozcan

¹Department of Emergency Medicine, Virginia Commonwealth University Medical Center, USA.

Health Care Management Review

|July 24, 2009

Summary

This summary is machine-generated.

Most hospital clusters show suboptimal efficiency, but regional service configurations may improve performance. Data envelopment analysis is effective for evaluating complex healthcare systems.

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Area of Science:

Healthcare Management
Health Services Research
Organizational Studies

Background:

Multihospital systems have rapidly expanded, forming regional clusters with potential for improved health system performance.
These clusters represent a policy strategy advocated for enhancing healthcare delivery.
Understanding cluster efficiency and configuration is crucial for optimizing regional health systems.

Purpose of the Study:

To assess the efficiency of hospital clusters within multihospital systems.
To examine the hierarchical configuration and service distribution patterns among clustered hospitals.
To identify factors influencing cluster efficiency in a regional context.

Main Methods:

Utilized American Hospital Association Annual Survey data (2004, updated to 2005) on multihospital system designations.
Employed data envelopment analysis (DEA) to measure the efficiency of hospital clusters.
Analyzed variables related to regional service configurations, including hospital bed size and urbanicity.

Main Results:

Only 5.8% of the 343 analyzed clusters were found to be highly efficient using DEA.
The average efficiency score for less efficient clusters was 0.73.
Primary hospital bed count and the proportion of urban hospitals within clusters significantly correlated with efficiency.

Conclusions:

Many hospital clusters exhibit service configurations aligning with established regional organizational models.
The regional distribution of service capacities across cluster members may positively impact performance.
Data envelopment analysis is a validated method for assessing the performance of complex, multiunit healthcare organizations.