Measuring the Efficiency of Hungarian Hospitals by Data Envelopment Analysis

Sustainable efficiency assessment of private diagnostic laboratories under uncertainty

Purpose

Assessing the performance of medical laboratories plays an important role in the quality of health services. However, because of imprecise data, reliable results from laboratory performance cannot be obtained easily. The purpose of this paper is to illustrate the use of interval network data envelopment analysis (INDEA) based on sustainable development indicators under uncertainty.

Design/methodology/approach

In this study, each medical diagnostic laboratory is considered as a decision-making unit (DMU) and an INDEA model is used for calculating the efficiency of each medical diagnostic laboratory under imprecise inputs and outputs. The proposed model helps provide managers with effective performance scores for deficiencies and business improvements. The proposed model with realistic efficiency scores can help administrators manage their deficiencies and ultimately improve their business.

Findings

The results indicate that uncertainty can lead to changes in performance scores, rankings and performance classifications. Therefore, the use of DEA models under certainty can be potentially misleading.

Originality/value

The contribution of this study provides useful insights into the use of INDEA as a modeling tool to aid managerial decision-making in assessing efficiency of medical diagnostic laboratories based on sustainable development indicators under uncertainty.

The Hungarian Care Managing Organization Pilot Program

OBJECTIVES

The aim of this article was to provide a description of the Hungarian care managing organization (CMO) pilot program and its environment, incentive structure, and preliminary outcomes. The need to change the behavior of doctors to increase the effectiveness and cost-effectiveness of the system was the key rationale for the Hungarian CMO pilot program.

METHODS

After an application process, nine CMOs were entitled to enter into the system in July 1999. By 2006, there were 14 CMOs covering 2.1 million people. The Hungarian CMO program tried to combine the advantages of both the US managed care programs and the UK general practitioner fundholding system, within the constraints and opportunities of a Central-European country committed to a single-payer health insurance system.

RESULTS

The revenue of CMOs derived from a risk-adjusted capitation. The capitation formula was weighted only by age and sex. The expenditures of the CMOs included all the health expenditures on their patients that occurred in any part of the health care system. The average savings rate for all CMOs for the fiscal years 1999 to 2007 was 4.94%. The highest rates of savings were realized in chronic and acute inpatient care and medical devices. The pilot was discontinued in 2008 without a comprehensive evaluation of the experience.

CONCLUSIONS

We can conclude that this pilot had a significant contribution to the modernization of the Hungarian health care system.