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Research code: 1401-3-418-62735
Ethics code: IR.TUMS.IKHC.REC.1401.305
1- , elahe.amirkhalili@yahoo.com
Abstract: (184 Views)
Introduction:
Medical residents face various positive and negative situations in their personal and training lives throughout their educational journey, leading to diverse impacts on their overall well-being. The demanding work process, hard shifts, and high workload faced by medical residents in today's society emphasize the need for supervision and quality of life assessment for this group more than ever before which this issue has not been adequately examined. in this study we were address to determine a relationship between quality of life and the number of hours spent in hospitals among medical residents.
Methods:
In This cross-sectional study all medical residents in the selected teaching hospital affiliated to Tehran University of Medical Sciences in Tehran were included in the study by available sampling method. The number of medical residents during the study period was 70, of which 10 were not included in the study due to unwillingness to participate in the study and two individuals due to not having Iranian nationality. Three participants were excluded from the analysis due to not completing the questionnaire form. at the end 55 medical residents from April to the end of May 2023 participated. The dependent variable was the 26-item World Health Organization Quality of Life score, The tool's reliability, measured using Cronbach's alpha, was 0.70 for the physical health dimension, 0.73 for the mental health dimension, 0.55 for the social health dimension and 0.84 for the environmental health dimension. the number of hours spent in the hospital as the independent variable and demographic characteristics as a confounder. Descriptive statistics, including frequency and percentage, were used for categorical variables, mean and standard deviation were used for quantitative variables, and median and range were used for non-normally distributed variables. Using multilevel multiple linear regression, the educational field was entered as the first level, and individuals were entered as the second level in the model. The analysis was conducted using Stata statistical software. p-value less than 0.05 was considered.
Results:
Fifty-five participants, 69% of whom were female, had a median age of 30 years. The residents' average quality of life was 19.12(2.56). The physical health domain had the worst quality of life score. bivariate analysis test including correlation coefficient (spearman and Pearson), paired t-test and one way of Anova was utilized to examine the association between demographic variables and quality of life to adjust for confounding effects, demographic variables with significance levels below 0.2 were included in the selected linear regression model. After adjusting for residency status and smoking history in the multilevel multiple linear regression model, there was not enough evidence to reject null hypothesis of no relationship between quality of life and the number of hours spent in the hospital per week (B=0.01, p =0.24). also, there was evidence of negative association between quality of life and age (B=-0.19, p=0.01). 14% of the variation of residents' quality of life was attributed to differences in educational fields.
Discussion:
An important point is that despite sending the questionnaire twice to be completed at the right time and place by individuals who actually bear the most pressure in the educational journey, the desire to participate in the study is very low. It is suggested that future studies look at it in depth. The main limitation of the present study was the small number of participants due to the time constraints of the sampling and data collection period. Therefore, caution should be exercised when generalizing the results obtained in this study. To address this issue, conducting a series of similar longitudinal studies is recommended, as these are expected to complement the findings of this cross-sectional study
Conclusion
In selected educational hospitals, residents have a low quality of life and are dissatisfied with their physical health. The necessity of focusing on physical and mental health is essential for improving and treating community health. Further studies in this area are necessary to implement interventions to reduce risky behaviors such as smoking and substance abuse. Additionally, some dimensions influencing physical health were not clearly identified; qualitative studies may help uncover the depth of these unknown factors.
Medical residents face various positive and negative situations in their personal and training lives throughout their educational journey, leading to diverse impacts on their overall well-being. The demanding work process, hard shifts, and high workload faced by medical residents in today's society emphasize the need for supervision and quality of life assessment for this group more than ever before which this issue has not been adequately examined. in this study we were address to determine a relationship between quality of life and the number of hours spent in hospitals among medical residents.
Methods:
In This cross-sectional study all medical residents in the selected teaching hospital affiliated to Tehran University of Medical Sciences in Tehran were included in the study by available sampling method. The number of medical residents during the study period was 70, of which 10 were not included in the study due to unwillingness to participate in the study and two individuals due to not having Iranian nationality. Three participants were excluded from the analysis due to not completing the questionnaire form. at the end 55 medical residents from April to the end of May 2023 participated. The dependent variable was the 26-item World Health Organization Quality of Life score, The tool's reliability, measured using Cronbach's alpha, was 0.70 for the physical health dimension, 0.73 for the mental health dimension, 0.55 for the social health dimension and 0.84 for the environmental health dimension. the number of hours spent in the hospital as the independent variable and demographic characteristics as a confounder. Descriptive statistics, including frequency and percentage, were used for categorical variables, mean and standard deviation were used for quantitative variables, and median and range were used for non-normally distributed variables. Using multilevel multiple linear regression, the educational field was entered as the first level, and individuals were entered as the second level in the model. The analysis was conducted using Stata statistical software. p-value less than 0.05 was considered.
Results:
Fifty-five participants, 69% of whom were female, had a median age of 30 years. The residents' average quality of life was 19.12(2.56). The physical health domain had the worst quality of life score. bivariate analysis test including correlation coefficient (spearman and Pearson), paired t-test and one way of Anova was utilized to examine the association between demographic variables and quality of life to adjust for confounding effects, demographic variables with significance levels below 0.2 were included in the selected linear regression model. After adjusting for residency status and smoking history in the multilevel multiple linear regression model, there was not enough evidence to reject null hypothesis of no relationship between quality of life and the number of hours spent in the hospital per week (B=0.01, p =0.24). also, there was evidence of negative association between quality of life and age (B=-0.19, p=0.01). 14% of the variation of residents' quality of life was attributed to differences in educational fields.
Discussion:
An important point is that despite sending the questionnaire twice to be completed at the right time and place by individuals who actually bear the most pressure in the educational journey, the desire to participate in the study is very low. It is suggested that future studies look at it in depth. The main limitation of the present study was the small number of participants due to the time constraints of the sampling and data collection period. Therefore, caution should be exercised when generalizing the results obtained in this study. To address this issue, conducting a series of similar longitudinal studies is recommended, as these are expected to complement the findings of this cross-sectional study
Conclusion
In selected educational hospitals, residents have a low quality of life and are dissatisfied with their physical health. The necessity of focusing on physical and mental health is essential for improving and treating community health. Further studies in this area are necessary to implement interventions to reduce risky behaviors such as smoking and substance abuse. Additionally, some dimensions influencing physical health were not clearly identified; qualitative studies may help uncover the depth of these unknown factors.
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eISSN: 2008-1375
pISSN: 1735-7799
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