Journal of Kermanshah University of Medical Sciences
Peer-reviewed Medical Quarterly
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Predictive factors of ICU bedsores using Braden scale
Author(s):
Abolhasan Afkar1, Mohammad Mahboubi2, Fardin Mehrabian3, Rabiollah Farmanbar3, Fariba Ghahramani4, Ehsan Kazem Nezhad5,*, Amineh Khodadadi61Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences , Rasht, Iran
2Vice-chancellor for Treatment, Kermanshah University of Medical Science, Kermanshah, Iran
3Dept. of Education and Health Promotion, School of Health, Guilan University of Medical Sciences, Rasht, Iran
4Dept. of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
5Dept. of Social Medicine, Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran
6Nursing and Midwifery Faculty, Kermanshah University of Medical Sciences, Kermanshah, Iran
*Corresponding Author: Corresponding author: Ehsan Kazem Nezhad, Dept. of Social Medicine, Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran, Tel: +989112369537 Email: [email protected]
Published online:Jul 29, 2014
Article type:Research Article
Received:Jun 01, 2014
Accepted:Jul 15, 2014
How to Cite:Afkar A, Mahboubi M, Mehrabian F, Farmanbar R, Ghahramani F, et al. Predictive factors of ICU bedsores using Braden scale. J Kermanshah Univ Med Sci. 2014;18(4):e74112. doi: https://doi.org/10.22110/jkums.v18i4.1855
Abstract
Background: Bed sore is a major problem for inpatients in the hospital. This study was aimed to determine the predictive factors of bedsore in Intensive Care Unit (ICU).
Methods: A descriptive – analytical study was conducted on 673 Intensive Care Unit (ICU) inpatients of 6 selected hospitals in a period of 6 months in Guilan. The participants were selected via simple random sampling. Data were collected by the Braden Scale whose reliability and validity had breen confirmed in previous studies. Data were fed into SPSS software and analyzed using t-test, chi-square and Logistic regression.
Results: The mean age of the subjects was 45.35±16.7. Incidence of bedsore was 3.6%. Dietary patterns, wear and tension were identified as predictors of bed sore after adjustment of odds ratio.
Conclusion: We can properly manage the bed sore and its complications, in addition to predicting the parameters of the given model, through attention to proper nutrition, stretching the muscles and tissues of the patients in ICU. Retraining the personnel of the intensive care unit and training the patients are recommended.
References
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Copyright
© 2014, Journal of Kermanshah University of Medical Sciences. This open-access article is available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) International License (https://creativecommons.org/licenses/by-nc/4.0/), which allows for the copying and redistribution of the material only for noncommercial purposes, provided that the original work is properly cited.
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