Volume 21, Issue 4 (December 2023)                   Iranian Rehabilitation Journal 2023, 21(4): 703-710 | Back to browse issues page

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Noori R, Khajavian N, Sadeghmoghadam L, Hosseini Moghaddam F, Sajjadi M, Moradi M, et al . The Fall Risk Assessment and Correlated Factors Among Elderly Inpatients in 2020: A Cross-sectional Study. Iranian Rehabilitation Journal 2023; 21 (4) :703-710
URL: http://irj.uswr.ac.ir/article-1-1776-en.html
The Fall Risk Assessment and Correlated Factors Among Elderly Inpatients in 2020: A Cross-sectional Study
Reza Noori1 , Nasim Khajavian2 , Leila Sadeghmoghadam3 , Fatemeh Hosseini Moghaddam3 , Moosa Sajjadi3 , Maryam Moradi * 3, Hamideh Mohammadzadeh4 , Elham Nikkhah Beydokhti5
1- Department of Community Health Nursing, School of Nursing, Allameh Bohlool Gonabadi Hospital, Gonabad University of Medical Sciences, Gonabad, Iran.
2- Department of Biostatistics and Epidemiology, Social Determinants of Health Research Center, School of Health, Gonabad University of Medical Sciences, Gonabad, Iran.
3- Department of Nursing, Social Development and Health Promotion Center, School of Nursing, Allameh Bohlool Gonabadi Hospital, Gonabad University of Medical Sciences, Gonabad, Iran.
4- Allameh Bohlool Gonabadi Hospital, Gonabad University of Medical Sciences, Gonabad, Iran.
5- Allameh Bohlool Gonabadi Hospital, Department of Nursing, School of Nursing, Social Development and Health Promotion Center, Gonabad university of medical sciences, Gonabad, Iran
Abstract:   (425 Views)
Objectives: Patient falls are highly prevalent in hospitals, and are considered a complicated challenge. Thus, the present research assessed the prevalence of the fall risk assessment and the correlated factors among elderly inpatients.
Methods: The present analytical and cross-sectional research was conducted with 419 elderly patients meeting the inclusion criteria. The data collection instrument consisted of two parts including demographic information and the Johns Hopkins fall risk assessment tool (JHFRA). A convenience sampling method was used to select the elderly patients staying in the general wards of Allameh Bohlool Gonabadi Hospital, Gonabad City, Iran. The data analysis was done in SPSS software, version 23 using descriptive (frequency, Mean±SD) as well as inferential statistics (logistic linear regression analysis).
Results: The Mean±SD of participants’ age was 72.09±9.46 and the prevalence of the fall risk was 85.9%. Statistically significant correlations were found between the elderly inpatients’ fall risk and their age (P=0.001), sex (P=0.012), and cardiovascular diseases (P=0.001).
Discussion: Considering the high prevalence of fall risk among elderly inpatients, it is essential to plan for preventing and reducing the rate of elderly inpatients’ falls.
Keywords: Elderly, Fall, Risk factors
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Article type: Original Research Articles | Subject: Nursing
Received: 2022/09/28 | Accepted: 2023/08/19 | Published: 2023/12/1
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