Document Type : Original Article

Authors

1 Assistant Professor, Health Services Management Department, School of Public Health, Shahid Sadoughi University of Medical Science. Yazd, Iran

2 MSc , Industrial Management, College of Management /Economy/Accounting, Yazd University. Yazd, Iran

3 MSc, Health Services Management, School of Public Health, Shahid Sadoughi University of Medical Science. Yazd, Iran

Abstract

Introduction: Discharge of patients with personal satisfaction is one of the problems in treatment systems all over the world, which causes the recession and ultimately leads to jobs and poor financial health centers. This study, presents ranking of causes of discharge of patients with personal satisfaction in treatment centers in the city of Yazd.Methods: This study is a cross-sectional, descriptive analysis. The sample size is equal to 174 of 9896 patients, who have been discharged from hospitals with personal satisfaction. We also asked six expert's opinion. The method of Sampling from patients is stratified randomization and from experts is census. In order to data analyzing of patients, we have used the SPSS16 software and Chi-square Test, and for data analyzing of experts we have used Microsoft Excel 2010 and Fuzzy AHP Technique.Results: The most important causes of discharge patients in order of preference are as follows; financial difficulties and the cost of treating patients (36/2%), Sense of recovery (27/8%), Tired of hospital environment and Prolongation of treatment duration (18/4%), and from expert’s view, the most important cause is: those causes related to the crews and hospital staff.Conclusion: According to studies carried out in Iran, the rate of discharge is high compared to other countries mostly due to causes related to the patient. The clinical social workers, patient awareness of potential complications and make good and pleasant atmosphere for patient, in order to increase the level of personal satisfaction, should be considered as priorities. Administrators can also use the Fuzzy AHP technique to prioritize causes and then give the priority plan.

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