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Satar Rezaei 2 Articles
Medication errors among nurses in teaching hospitals in the west of Iran: what we need to know about prevalence, types, and barriers to reporting
Afshin Fathi, Mohammad Hajizadeh, Khalil Moradi, Hamed Zandian, Maryam Dezhkameh, Shima Kazemzadeh, Satar Rezaei
Epidemiol Health. 2017;39:e2017022.   Published online May 17, 2017
DOI: https://doi.org/10.4178/epih.e2017022
  • 25,855 View
  • 578 Download
  • 41 Web of Science
  • 51 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
This study aimed to examine the prevalence and types of medication errors (MEs), as well as barriers to reporting MEs, among nurses working in 7 teaching hospitals affiliated with Kermanshah University of Medical Sciences in 2016.
METHODS
A convenience sampling method was used to select the study participants (n=500 nurses). A self-constructed questionnaire was employed to collect information on participants’ socio-demographic characteristics (10 items), their perceptions about the main causes of MEs (31 items), and barriers to reporting MEs to nurse managers (11 items). Data were collected from September 1 to November 30, 2016. Negative binomial regression was used to identify the main predictors of the frequency of MEs among nurses.
RESULTS
The prevalence of MEs was 17.0% (95% confidence interval, 13.7 to 20.3%). The most common types of MEs were administering medications at the wrong time (24.0%), dosage errors (16.8%), and administering medications to the wrong patient (13.8%). A heavy workload and the type of shift work were considered to be the main causes of MEs by nursing staff. Our findings showed that 45.0% of nurses did not report MEs. A heavy workload due to a high number of patients was the most important reason for not reporting MEs (mean score, 3.57±1.03) among nurses. Being male, having a second unrelated job, and fixed shift work significantly increased MEs among nurses (p=0.001).
CONCLUSIONS
Our study documented a high prevalence of MEs among nurses in the west of Iran. A heavy workload was considered to be the most important barrier to reporting MEs among nurses. Thus, appropriate strategies (e.g., reducing the nursing staff workload) should be developed to address MEs and improve patient safety in hospital settings in Iran.
Summary

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Determinants of health-related quality of life in Iranian adults: evidence from a cross-sectional study
Satar Rezaei, Mohammad Hajizadeh, Ali Kazemi, Masoud Khosravipour, Farid Khosravi, Shahab Rezaeian
Epidemiol Health. 2017;39:e2017038.   Published online August 15, 2017
DOI: https://doi.org/10.4178/epih.e2017038
  • 16,226 View
  • 227 Download
  • 17 Web of Science
  • 14 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
This study aimed to measure the level and determinants of health-related quality of life (HRQoL) in adults in Kermanshah, a city in the western region of Iran.
METHODS
Convenience sampling was employed to obtain a sample of 998 adults aged 18 years and older (646 males and 352 females) in the city of Kermanshah. A 2-part self-administered questionnaire was used to collect data over the period between March 1 and May 30, 2017. The first part was designed to collect information on socio-demographic characteristics, socioeconomic status, and lifestyle factors (10 items). The second part consisted of the EuroQoL 5-dimensions (EQ-5D) EuroQoL-3-level and the EuroQoL visual analog scale (EQ-VAS) questions. A multiple linear regression model was used to determine the factors associated with the EQ-5D index and EQ-VAS score among study participants.
RESULTS
The mean values for the EQ-5D index and the EQ-VAS score were 0.74 (standard deviation [SD], 0.19) and 80.9 (SD, 16.5), respectively. The highest percentage of self-reported problems (‘some’ and ‘severe’ problems) across the 5 dimensions of the EQ-5D index were associated with the dimensions of anxiety/depression (35.3%) and pain/discomfort (32.9%). The percentage of self-reported problems for the dimensions of usual activities, mobility, and self-care were 19.0, 12.8, and 8.9%, respectively. Our regression analyses indicated that there were statistically significant positive associations between being physically active, monthly household income per capita, and post-secondary education and the EQ-5D index and EQ-VAS score. In contrast, negative associations were found between older age, being married, having a chronic disease, and smoking and the EQ-5D index and EQ-VAS score. A negative association was also found between being uninsured and the EQ-5D index.
CONCLUSIONS
Our findings suggest that interventions aiming to improve physical activity, to prevent chronic diseases, and to reduce the smoking rate among adults living in the city of Kermanshah may improve their HRQoL.
Summary

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