Comparision of moral sensitivity among nursing student in Abadan University of Medical Sciences and Shushtar College

Author(s):
Mahsa HazaryanMahsa HazaryanMahsa Hazaryan ORCID1, Negin HematiNegin HematiNegin Hemati ORCID1, Hamed ErsaliHamed ErsaliHamed Ersali ORCID2, Reza BeiranvandReza BeiranvandReza Beiranvand ORCID3, Farshid MirzaeipourFarshid MirzaeipourFarshid Mirzaeipour ORCID4, Masoomeh AsadiMasoomeh AsadiMasoomeh Asadi ORCID5,*
1Department of Nursing, School of Nursing and Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2Department of Nutrition and Diet Therapy, Urmia University of Medical Sciences, Urmia, Iran
3Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4Department of Nursing, Abadan University of Medical Sciences, Abadan, Iran
5Department of Operating Room, Abadan University of Medical Sciences, Abadan, Iran
*Corresponding Author: Department of Operating Room, Abadan University of Medical Sciences, Abadan, Iran. Email:[email protected]

Comprehensive Health and Biomedical Studies:Vol. 1, issue 1; 22-28
Published online:Jul 01, 2022
Article type:Research Article
Received:Oct 25, 2021
Accepted:Nov 15, 2021
How to Cite:Hazaryan M, Hemati N, Ersali H, Beiranvand R, Mirzaeipour F, et al. Comparision of moral sensitivity among nursing student in Abadan University of Medical Sciences and Shushtar College. Compr Health Biomed Stud. 2022;1(1):e142857. doi: https://doi.org/10.22034/hmrj.2021.140092

Abstract

Introduction: One of the factors that can play a pivotal role in maintaining ethical values and preventing ethical distress in nurses is moral sensitivity. Therefore, this study was carried out with the aim. The comparision of moral sensitivity among nursing student in Abadan University of Medical Sciences And Shushtar College in 2018.

 Methods: The epidemiological descriptive-analytic study was conducted with a cross-sectional correlation method. The census sampling method was conducted on undergraduate nursing students in the third and fourth years in Abadan University of Medical Sciences and Shushtar College. For sampling this study, a questionnaire was used in two parts where the first part of that demographic and second part of the questionnaire was a moral sensitivity compiled by Kim Latzen. The questionnaire has 25 items and was analyzed using descriptive statistics, independent t-test, Chi-square ,Pearson correlation coefficient, regression methods such as linear regression in SPSS v.21 and logistic regression were used to analyse the data. 

Results: In this study, the mean of moral sensitivity in all studied people was equal to 86.86. Also, the mean point of nursing students of Medical Sciences College of Shushtar was more than the students of Abadan University of Medical Sciences. 

Conclusion: It is suggested that in order to increase the moral sensitivity of nurses, they should be trained and evaluated from their first days of studying.

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The Author(s) 2021. Open Access. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data

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