Hospitals are the most important and costly component of the healthcare system.
Therefore, hospital performance evaluation (HPE) is an important issue for the
managers of these centres. This paper presents a new approach for HPE that can be
used to calculate the efficiency, effectiveness, and productivity of hospitals
simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers
to the extent to which outputs align with predetermined goals, and productivity refers
to the sum of both efficiency and effectiveness. To this end, a Data Envelopment
Analysis (DEA) model is developed to simultaneously measure the efficiency,
effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming
technique that in its traditional form, calculates the performance of similar decisionmaking units (DMUs) that have both inputs and outputs. In this study, the inputs are
the number of health workers, the number of other staff, and the number of patient
beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target
value is set for each output to measure the effectiveness of hospitals. The advantage
of the developed model is the ability to provide a solution for non-productive units so
that they can improve their performance by changing their inputs and outputs. In the
case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on
the results, some hospitals experienced an upward trend in the period, but the
efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did
not have a growing trend. This indicates that although most hospitals sought to
improve the quality of their services, they needed to take more serious steps.
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