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- Title
The Relationship Between Individual Perception of Perceived Susceptibility of Fall Risk and Fall Risk Level among Elderly Adult Patients Admitted in Acute Care Setting in a Saudi Arabian Hospital (KSFAH).
- Authors
Altaymani, Zuhur; Hansen, Dana M.; Petrinec, Amy; Dowell, Jo A.; Bernert, Donna J.
- Abstract
Falls are a significant public health concern for the elderly population. This study investigates the relationship between individual perception of perceived susceptibility to fall risk and fall risk level among elderly adult patients admitted to an acute care setting in a Saudi Arabian hospital. A convenience sample of 150 patients aged 60 to 89 years was enrolled in the study. The perceived susceptibility to fall risk was measured using a scale with high internal consistency (Cronbach's alpha = 0.87). Fall risk was assessed as a dichotomous variable (No Fall Risk or High Fall Risk). The results revealed a significant association between individual perception and fall risk level, with higher perceived susceptibility scores in patients classified as No Fall Risk compared to those in the High Fall Risk group (p < 0.001). The study also explored the impact of demographic variables, frailty, and high-risk medications on fall risk. Binary logistic regression analysis indicated that age and frailty were positively associated with an increased fall risk, while the use of certain high-risk medications was associated with a decreased risk. These findings contribute to the understanding of how individual perceptions and frailty influence fall risk and can inform the development of targeted fall prevention interventions for elderly patients in acute care settings. This research adds to the limited existing literature on perception and fall risk, particularly in the context of the Saudi population, and provides valuable insights for healthcare practitioners seeking to enhance fall prevention programs and patient outcomes.
- Subjects
SAUDI Arabia; ACUTE medical care; RISK factors of falling down; DISEASE susceptibility; PATIENT reported outcome measures; LOGISTIC regression analysis
- Publication
Multi-Knowledge Electronic Comprehensive Journal For Education & Science Publications (MECSJ), 2023, Issue 66, p1
- ISSN
2616-9185
- Publication type
Article