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Volume 20, Issue 2 (5-2017)                   J Arak Uni Med Sci 2017, 20(2): 1-9 | Back to browse issues page

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Bakhshi E, Kalantari R, Salimi N. Assessment of Job Performance and its Determinants in Healthcare Workers in Islamabad-e Gharb City based on ACHIVE Model In 2016. J Arak Uni Med Sci. 2017; 20 (2) :1-9
URL: http://jams.arakmu.ac.ir/article-1-4933-en.html
1- Islamabad-e Gharb Health Care Network, kermanshah, Iran , ehsanbakhshi63@gmail.com
2- Department of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
3- Department of Health Education, School of Health Education, Hamadan University of Medical Sciences, Hamadan, Iran
Abstract:   (3467 Views)


Background: Evaluation of performance is one of the hardest aspects of management responsibilities. Today, performance evaluation process is a characteristic of work world that can be useful in making workforce more effective. This study aimed to assess the job performance and its determinants in healthcare workers.

Materials and Methods: This cross sectional and descriptive –analytical study conducted in capitation way on all workers in healthcare centers and health houses of Islamabad-e Gharb city in 2016. Data collection tools were questionnaires of demographics and job performance of Hersey and Goldsmith. Descriptive statistics, one way ANOVA and Independent sample T-test used in order to data analysis.

Results: The mean and standard deviation of job performance score was 52.5± 9. There was a significant relationship between job performance with sex and education level (p<0.05). Also, there were significant relationships between feedback and environment with sex, and support aspect with type of employment (p<0.05).

Conclusion: Success and progress of each organization is based on high levels of job performance in its employees. Solutions such increasing salary and providing good physical environment, can be useful to improve job performance of employees.

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Type of Study: Original Atricle | Subject: Health
Received: 2017/02/6 | Accepted: 2017/03/1

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