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Volume 9, Issue 4 (Iranian Journal of Ergonomics 2022)
Iran J Ergon 2022, 9(4): 147-161 |
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Ethics code: IR.IUMS.REC.1399.893
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Ghasemi M S, Garosi E, Dehghan N, Kaboli M. Exploring Factors Influencing the Workload in Nursing Assistants: A Qualitative Study. Iran J Ergon 2022; 9 (4) :147-161
URL: http://journal.iehfs.ir/article-1-855-en.html
URL: http://journal.iehfs.ir/article-1-855-en.html
1- Associate Professor, Department of Ergonomics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. Tel: 86704839
2- Assistant Professor, Department of Ergonomics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Occupational Medicine Research Center, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
4- MSc Student, Department of Ergonomics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran , maryamkaboli94@gmail.com
2- Assistant Professor, Department of Ergonomics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Occupational Medicine Research Center, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
4- MSc Student, Department of Ergonomics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran , maryamkaboli94@gmail.com
Abstract: (4348 Views)
Background and Objectives: A high workload is a major challenge to health care workers, especially first- line supporters, like nurse assistants, and this has many negative consequences. This study aimed to identify the factors affecting the workload of nurse assistants in one of Tehran hospitals.
Methods: The research is descriptive- qualitative using qualitative content analysis, with the participation of 13 nurse assistants selected by purposive sampling. Data were collected through semi- structured interviews and after each interview, the data were loaded and analyzed in MAX QDA software and this process continued until data saturation. Please match the last sentence with the farsi version.
Results: In the findings of continuous data analysis, a total of 473 codes were found in the factors affecting workload in the process of nurse assistants' work system. Finally, they were classified into five categories of Systems Engineering Initiative for Patient Safety model (person, task, organization, tools, equipment and environment).
Conclusion: Most factors affecting workload are obtained in the organizational component and the least in the environmental component of the Systems Engineering Initiative for Patient Safety model, which indicates the significant role played by interpersonal relationships in the workplace and hospital rules on the workload of nurse assistants.
Methods: The research is descriptive- qualitative using qualitative content analysis, with the participation of 13 nurse assistants selected by purposive sampling. Data were collected through semi- structured interviews and after each interview, the data were loaded and analyzed in MAX QDA software and this process continued until data saturation. Please match the last sentence with the farsi version.
Results: In the findings of continuous data analysis, a total of 473 codes were found in the factors affecting workload in the process of nurse assistants' work system. Finally, they were classified into five categories of Systems Engineering Initiative for Patient Safety model (person, task, organization, tools, equipment and environment).
Conclusion: Most factors affecting workload are obtained in the organizational component and the least in the environmental component of the Systems Engineering Initiative for Patient Safety model, which indicates the significant role played by interpersonal relationships in the workplace and hospital rules on the workload of nurse assistants.
Type of Study: Research |
Subject:
Industrial and Organizational Psychology
Received: 2021/11/21 | Accepted: 2022/03/1 | ePublished: 2022/03/1
Received: 2021/11/21 | Accepted: 2022/03/1 | ePublished: 2022/03/1
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