Journal of

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Background: There is close relationship between  quality of life and human health. Since, nurses as the most important health Provider group, they  should have a desirable quality of life. This study aimed  at evaluating the quality of life and related variables among nurses in Zahedan  University of Medical Sciences hospitals.

Materials and Methods: In this descriptive analytic study the Iranian version of SF-36 was utilized to assess nursing quality of life. Data analyzed using  Stata  version 12. logistic regression was used to determine quality of life predictors.

Results: Three hundred women nurses (77.9%) with mean age of 31.6 ± 6/6 years were assessed. The mean of work experience was 7.55± 6.8 years. The most quality of life score was related to Physical domain (39.6 ± 11.8) and social function had the least score(8.2±6.7). Logistic regression analysis revealed marital status, overtime work, working shift Pattern and work experience were quality of life  predictors (P<0.05).

Conclusion: Study results represented  undesirable quality of life among nurses. Low quality of life can affect services quality of nursing. Nursing administrators can  improve nursing quality of life by setting up and adjusting overtime set up and adjust overtime shift based on work experience .

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Background: Three aspects of health, responsiveness rate and equitable financing introduced as the main goals of health systems. In this study, responsiveness rate was assessed among private and social security hospitals in 2013.

Materials and Methods: The descriptive-analytical study conducted as a cross-sectional one among 10 hospitals in Tehran city (20 percent of total social security and private, 8:2 respectively) in 2013. Study population consisted of all inpatients and outpatients referee to eight private and two social security hospitals and 333 subjects selected to data gathering randomly. The valid and reliable World Health Survey questionnaire was utilized. Data was analyzed by SPSS₁₇ using descriptive statistic, Mann–Whitney and Kruskal–Wallis tests.

Results: In points of view among inpatient and outpatient, the mean score of responsiveness rate were 4.1±0.71 and 3.7±0.60 respectively. These amounts estimated 4.4±0.46 and 3.2±0.82 for inpatient and 3.8±0.58 and 3.5±0.63 for outpatient in private and social security hospitals respectively. Also, the mean score of responsibility rate assessed 4.4 in private hospital which was higher than social security ones (3.2); and this difference was statistically significant (P<0.001).

Conclusion: Responsiveness rate dimensions were evaluated moderate to high among assessed hospitals. These results were enhanced in private hospitals rather than social security ones. It is recommended that hospital managers should pay more attention to client and mechanisms to improve responsiveness rate and providing more services quality. 

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Background: Reduction of errors is necessary to improve the quality of healthcare, promoting communication between the hospital staff and patients, and decreasing the patient's complaints in hospitals. Due to the high probability of error in the operating room (OR), this study aimed to detect the potential errors in the OR of Nemazee hospital using FMEA.
Materials and Methods: This study was a qualitative one which assessed Failure Mode and effects of OR in six steps using FMEA technique. At First, the OR activities were listed, then the failure modes were recognized. Next, the Risk Priority Number (RPN) of each error was calculated according to the indicators of Occurrence (O), Severity (S) and Detectability (D).
 Results: Totally,204 failure modes in 36 activities in five process in surgery ward were recognized.15.7 percent of failure modes classified as high risk factors (RPN ≥ 100). The most and the least distribution of origin factors were related to human and organization and technical errors, respectively.
Conclusion: The majority of errors in OR was set in of human skills category. Besides, the most and the least failure modes were belonged to “patient anesthesia by circular activity number 20, RPN=1795.23)” and “not to oxygenation for patients (the activity number 36, RPN=99.33) respectively. Identification of 36 activities and 204 errors in the 5 processes of Operating Room represents the comprehensiveness of HFMEA method in the identification, classification, evaluation and analysis of the health system errors.