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Showing 2 results for Qualitative Study
Workload in Train Driving Job: Affecting Factors and Improvement Recommendations
Narmin Hassanzadeh-Rangi, Yahya Khosravi, Ali Asghar Farshad, Hamed Jalilian,
Volume 5, Issue 1 (6-2017)
Abstract

Introduction: Metro driving is one of the newest jobs in Iran. Due to the lack of studies about train drivers’ workload, there is no comprehensive information about factors that effect workload. This study aimed at analyzing the factors that may effect driver workload, in order to recommend control measures.

Methods: In this mixed method study, data generation was done through field observations, document reviews, individual interviews, focus group interviews, and focus group discussions. In order to perform field data collection, the institute for occupational ergonomics and CCD Design and Ergonomics Ltd’s developed tools were used. Directed content analysis was used for qualitative data analysis.

Results: Overall, 65 factors were extracted as the factors that may effect driver workload. The extracted factors were drawn on a fishbone diagram, over 8 categories, including management, supervision and organizational climate, infrastructure, job design, journey, and environmental as distal factors and time pressure, information exchanges, and individual factors as proximal factors.

Conclusions: Some of the distal factors are the nature of an urban transport system, so the only amendment is compensatory programs, and some of them could be resolved by long-term plans. Workload of train drivers could be reduced with a focus on the proximal factors in the short-term, and the distal factors in the long-term.


Exploring Factors Influencing the Workload in Nursing Assistants: A Qualitative Study
Mohammad Sadegh Ghasemi, Ehsan Garosi, Naser Dehghan, Maryam Kaboli,
Volume 9, Issue 4 (3-2022)
Abstract
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.

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