نتایج جستجو برای: Bed Occupation Rate, Bed Turnover Ratio, Average Length of Stay, Public hospital, Pabón Lasso Model
تعداد نتایج: 21512439 فیلتر نتایج به سال:
background and objectives: constant monitoring of healthcare organizations’ performance is an integral part of informed health policy-making. several hospital performance assessment methods have been proposed in the literature. pabon lasso model offers a fast and convenient method for comparative evaluation of hospital performance. this study aimed to evaluate the relative performance of hospit...
background and objectives: hospital is the largest and most costly operating unit of healthcare system. provision of optimal care requires that hospital administrators identify hospital performance based on relevant indicators. this study used the pabon lasso analysis to assess the performance of hospitals and identify strategies towards an improved hospital performance. methods: this cross-s...
Background and Objectives: Constant monitoring of healthcare organizations’ performance is an integral part of informed health policy-making. Several hospital performance assessment methods have been proposed in the literature. Pabon Lasso Model offers a fast and convenient method for comparative evaluation of hospital performance. This study aimed to evaluate the relative performance of hospit...
Background and Objectives: Hospital is the largest and most costly operating unit of healthcare system. Provision of optimal care requires that hospital administrators identify hospital performance based on relevant indicators. This study used the Pabon Lasso analysis to assess the performance of hospitals and identify strategies towards an improved hospital performance. Methods: This cross...
Background: The Pabon Lasso graphical Model is a method to determine hospital efficacy as one of the most important part of health system in developing countries. This study aimed at assessing the efficacy analysis using Pabon Lasso Model and comparing with national standards of educational hospitals affiliate to Qom University of Medical Sciences. Materials and Methods: This descriptiv...
Background and Aim: Assessment of hospital performance increases responsiveness and efficiency of limited resources. One of the most useful models of hospital performance assessment is Pabon-Lasso, a graphical model that determines the relative performance of hospitals using three indicators: Bed Occupancy Rate Bed Turnover and Average Length of Stay. The present study aims to compare the perfo...
Background & Aim: One of the most important and useful models for assessing hospital performance is the Pabon Lasso Model, a graphical model that determines the relative performance of hospitals using three indicators: 1. Bed Occupancy Rate (BOR); 2. Bed turnover (BTO); 3 Average Length of Stay (ALS). The aim of this research is to investigate the performance of the hospitals affiliated with Te...
background: the pabon lasso model was applied to assess the performance of six state-run hospitals in the province of kohgilooyeh & boyer-ahmad, to produce information that used by policy makers in their attempt to make the health care system more productive. methods: this cross-sectional study involved all the six public hospitals in the province, with 607 registered beds. data collection a...
Background: Performance evaluation could provide information to managers that they need to evaluate and monitor of the current status and activities in hospitals. The PABON LASSO model was applied to evaluate performing of hospitals affiliated with Ahwaz Jundishapour University of Medical Sciences to produce the information that used by policy makers in their attempt to make more productivity h...
abstract background: pabon lasso model was applied to assess the relative performance of hospitals affiliated to kurdistan university of medical sciences (kums) before and after the implementation of health sector evolution plan (hsep) in iran. methods: this cross-sectional study was carried out in 11 public hospitals affiliated to kums in 2015. twelve months before and after the implementation...
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