Designing Iranian hospital organizational charts: Global comparisons.

BACKGROUND: Hospitals should have effective and efficient organizational charts to face the changing healthcare environment. Thus, for this purpose, the present study seeks to compile an organizational chart for Iranian hospitals. MATERIALS AND METHODS: The present study was conducted in two phase overview and qualitative (using focus group discussion). In the overview phase, the organizational charts of hospitals were analyzed in terms of complexity (i.e., degree of horizontal and vertical separations), and the initial hospital organizational chart was developed based on the results. Subsequently, experts were interviewed in a focus group discussion to finalize and validate the initial organizational chart. RESULTS: The final organizational chart was designed to contain features such as internal divisions, specialization, reduction of organizational hierarchies, expansion of supervision scope, and moderate-sized organizational pyramid. CONCLUSION: Using designed organizational chart would eliminate the redundant managerial levels since it reduces organizational hierarchies to two levels of management, expands the supervision scopes, fosters a moderate-sized organizational pyramid, and catalyzes communications.

Identifying and prioritizing challenges related to promoting the health system performance assessment in Iran.

BACKGROUND AND OBJECTIVES: Because the performance assessment of the health system is used as the basis for decision-making and demonstrates progress or failure in achieving the goals of the health system, promoting the health system performance assessment can play a major role in improving and enhancing the health system. Therefore, the main aim of the study was to identify and prioritize the challenges of promoting the health system performance assessment. MATERIALS AND METHODS: There were two approaches in both qualitative and cross-sectional studies. At first, using semi-structured interviews with 52 performance appraisers, data related to the challenges of promoting the health system performance assessment were collected and thematically analyzed. Then, in cross-sectional terms, the performance appraisers were provided with researcher-made checklists which contained a list of challenges to determine the priority of challenges by scoring. The data were handled and analyzed using MAXQDA Plus version 12 and Microsoft Excel. RESULTS: Our results revealed five themes and ten subthemes on the challenges of promoting the health system performance assessment. Themes (subthemes) included infrastructures (cultural and technological), implementation (organizational support, process, and responsibilities), human resources (motivation and training), assessment (performance monitoring), and content of measures (reliability and validity). We also prioritized 31 listed challenges in three priority groups, including below average, average, and above average. CONCLUSION: Our findings suggest that promoting the health system performance assessment in Iran can be accomplished by allocating financial and nonfinancial motives to the performance assessment staffs, using performance assessment results in policymaking, clarifying tasks of assessment process executors, and reviewing and adapting the performance assessment indices according to contingencies in the health system.

Hospitals' efficiency in Iran: A systematic review and meta-analysis.

BACKGROUND: Given that the need to pay attention to measuring efficiency is considered as one of the main pillars of improving the level of efficiency in hospitals, so this study was carried out aimed to determine the mean technical efficiency (The technical efficiency is bound by zero and one and a score of less than one means that the theatre is inefficient as it could) score in terms of type and activity of the hospital, input-oriented and output-oriented attitude, returns to scale (In economics, returns to scale and economies of scale are related but different concepts that describe what happens as the scale of production increases in the long run, when all input levels including physical capital usage are variable (chosen by the firm). The concept of returns to scale arises in the context of a firm's production function. It explains the behavior of the rate of increase) in hospitals of Iran using data envelopment analysis (DEA) (DEA is a nonparametric method in operations' research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision-making units) and stochastic frontier analysis (SFA) (SFA is a method of economic modeling. It has its starting point in the stochastic production frontier models simultaneously introduced by Aigner, Lovell and Schmidt[1977] and Meeusen and Van den Broeck[1977]. MATERIALS AND METHODS: The present study was carried out with a systematic review of all studies conducted on measuring efficiency of hospitals in Iran from March 21, 2001 to December 21, 2017 using DEA and SFA. Eleven databases were searched using appropriate keywords and 470 articles were found and evaluated using a checklist, and finally, 24 articles were entered into the meta-analysis process. Meta-analysis was performed using random effect model and fixed-effect model, and study heterogeneity was investigated using Q-Cochran test and I 2 index. Furthermore, the main reasons of study heterogeneity were identified due to meta-regression. RESULTS: The average technical efficiency score of hospitals using DEA and SFA method was obtained equal to 0.885 and 0.809, respectively. Furthermore, with regard to the DEA method, 0.885, 0.891.0.952 and 0.913 was obtained for input-oriented and output-oriented, general and specialized care hospitals and constant returns respectively. With regard to SFA method, 0.733, 0.664, 0.641, 0.802, was obtained, and the inputs and outputs affect measuring the efficiency. DISCUSSION: In contrast, the DEA method can investigate several input and output simultaneously and is used as an effective and flexible tool in order to measure the efficiency of the hospital. DEA can be easily used for calculating efficiency scores based on the proper selection of input and output indicators. The data envelopment analysis method and different input and output variables have been used in most studies conducted in Iran, and Stochastic Frontier Analysis has been less considered. In the present study, the DEA method in governmental educational hospitals showed a higher efficiency than SFA method in the hospitals under study. But in general, due to lack of optimal efficiency level in the hospital, it is suggested that policymakers determine the hospital efficiency indices in order to evaluate their efficiency from different dimensions. CONCLUSION: The average technical efficiency score of hospitals using DEA and SFA method was obtained equal to 0.885 and 0.809, respectively. Also, the mean technical efficiency score in terms of input-oriented and output-oriented, general and specialized care hospitals and constant returns to scale using the DEA method was obtained equal to 0.885, 0.891.0.952 and 0.913 and using the SFA method, respectively, it was equal to 0.733, 0.664, 0.641, 0.802, and the inputs and outputs affecting measuring the efficiency. There is no significant difference between the mean efficiency score between the two methods, but the data envelopment analysis method is used more. It is suggested that the hospitals efficiency indicators to be determined in order to more accurately evaluate the hospitals efficiency.