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Studying Effects of Production Factors in Hospitals Affiliated with Tehran University of Medical Sciences (2008 -2011)

Journal: Journal of Health Policy and Sustainable Health (Vol.1, No. 2)

Publication Date:

Authors : ; ; ; ;

Page : 45-51

Keywords : Hospital Efficiency; Hospital Economic; Data Evolvement Analysis; Stochastic Frontier Analyze;

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Abstract

Introduction: Hospitals as important sector of health care system has special location in Health economic science. In order to achieve Hospital goals, trying to evaluate and improve hospital performance by policy makers and decision makers is essential. Aim: This Study was conducted to determine Effects of Production Factors in hospitals affiliated to Tehran University of Medical Sciences (2008 -2011) Material and Methods: In this cross-sectional study that was conducted in 2012, Research community was hospitals that affiliated to TUMS. Need date (human and capital resource information and production-performance indexes) was collected from data center of research deputy of university and hospitals and registered at information sheets and then was analyzed by stochastic frontier analyze method through Cob-Duglas production function with SFA4,1 software. Results: findings showed that all of production factors had positive production elasticity and positive marginal production too and were located in rational economic area except Nurses. Capital factor or hospital bed had highest positive production elasticity and positive marginal production and physician had highest average production. Production function coefficient wase indicated more than1 and showed that Studied industry had Increasing returns to scale. Conclusion: Based on this research, with highly efficient allocation of resources in most hospitals can be achieved very significant economic savings. Labor and Capital resources have more costs for hospital Industry , there fore policy and decision makers must determine need for resource by using economic analysis and correct planning methods and then employ them , appoint optimal capacity for centers to service delivery, enhance positive efficiency indexes and distinguish the ways that is more effective in boosting of resource performance

Last modified: 2014-11-19 02:08:21