Predictive factors of ICU bedsores using Braden scale


avatar Abolhasan Afkar 1 , avatar Mohammad Mahboubi 2 , avatar Fardin Mehrabian 3 , avatar Rabiollah Farmanbar 3 , avatar Fariba Ghahramani 4 , avatar Ehsan Kazem Nezhad 5 , * , avatar Amineh Khodadadi 6

1 Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences , Rasht, Iran

2 Vice-chancellor for Treatment, Kermanshah University of Medical Science, Kermanshah, Iran

3 Dept. of Education and Health Promotion, School of Health, Guilan University of Medical Sciences, Rasht, Iran

4 Dept. of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

5 Dept. of Social Medicine, Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran

6 Nursing and Midwifery Faculty, Kermanshah University of Medical Sciences, Kermanshah, Iran

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: 10.22110/jkums.v18i4.1855.


Journal of Kermanshah University of Medical Sciences: 18 (4); e74112
Published Online: July 29, 2014
Article Type: Research Article
Received: June 01, 2014
Accepted: July 15, 2014


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.



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