| 1. |
- Ghaffari, Mostafa, et al.
(author)
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Assessment of the Psychosocial Work Environment among Health Care Workers and Its Association with Work and Socioeconomic Status
- 2017
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In: Archives of neuroscience. - : Briefland. - 2322-3944 .- 2322-5769. ; 3
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Journal article (peer-reviewed)abstract
- Background: The health care sector constitutes one of the largest sources of employment worldwide.Objective: The aim of this study was to describe the psychosocial status of health care workers and its association with different covariates.Methods: Health care workers from different universities, hospitals, clinics, urban and rural health centers took part in this cross-sectional study. The medium version of COPSOQ was used to evaluate the association between COPSOQ and covariates. The multivariate analyses of variance and covariance were employed to determine multivariate and univariate associations between all psychosocial dimensions and covariates.Results: Most COPSOQ scores showed a good internal consistency and reliability, with total Cronbach’s alpha of 0.76. The study population comprised 7,027 health care workers among whom 64% were female. The results indicated that nurses are more exposed to the psychosocial work environment compared to the other groups of workers within the health care settings.Conclusions: Nurses had a significantly higher risk regarding almost all the psychosocial factors. Considering that the main shortage of human resources in our study population belonged to the nursing group, this bad situation is not surprising. Healthcare workers, especially nurses, are facing various psychosocial factors more than other workers are, because all these factors are in the healthcare environment at the same time.
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| 2. |
- Ghalichi, Leila, et al.
(author)
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Sleep Quality among Health Care Workers
- 2013
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In: Archives of Iranian Medicine. - 1029-2977. ; 16:2, s. 100-103
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Journal article (peer-reviewed)abstract
- Background: Sleep problems are common complaints in health care workers that can affect quality of life and productivity, both in patients and healthy individuals. This study evaluates the prevalence of low sleep quality in health care workers with no health issues or complaints of sleep problems. Methods: In this cross-sectional study was conducted on healthy employees of a health care organization in Tehran. The presence of physical and mental health issues and satisfaction from their sleep quality was assessed by means of a self-administered questionnaire. Sleep quality was evaluated by the Persian version of the Pittsburgh Sleep Quality Index (PSQI). PSQI scores of 5 or less were considered as good sleep quality. Results: From 925 participants, 56.9% were good sleepers. There was a significant association between poor sleep quality and female sex, divorced, shift-working, and age; it was not associated with education level. Self-rated health (SRH) had a significant positive correlation with sleep quality. Conclusion: Poor sleep quality is common in our study population and associated with a lower SRH. The high prevalence of poor sleep quality in a group of healthy non-complaining employees can be an important early sign of underlying physical or mental health issues. Providing screening and monitoring programs to detect the underlying health conditions and their consequent treatment can promote health and productivity of employees and improve society's health, both directly and indirectly.
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