입원 암 환자의 낙상 발생 예측요인
Predication of Falls in Hospitalized Cancer Patients
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Purpose/Objectives: To determine predictors of fall events in hospitalized patients with cancer, and identification of fall risk. Methods: An analysis of medical records was conducted together with a review of standardized fall reports of 565 patients admitted between January 1 and December 31, 2020. The collected data were analyzed with the chi-squared test, Fisher exact test, independent t-test, and logistic regression analysis using STATA 17 program. Results: There was a statistically significant increased fall risk; accompanied by a guardian (OR=10.30 CI=2.66~39.94), number of attachment devices (OR=1.30, CI=0.46~0.64), medication (OR=0.17, CI=0.04~0.84), pain (OR=4.73, CI=1.59~14.0), walking problem (OR=29.85, CI=9.31~95.74), chemotherapy (OR=5.20, CI=1.81~14.89), and fall risk score (OR=1.83, CI=1.50~2.24). Conclusion: These findings can serve as academic evidence to support the role of nurses in assessing the risk of fall events/accidents with regard to cancer patients and the development of individually adjusted fall assessment tools.
Abstract
Purpose/Objectives: To determine predictors of fall events in hospitalized patients with cancer, and identification of fall risk. Methods: An analysis of medical records was conducted together with a review of standardized fall reports of 565 patients admitted between January 1 and December 31, 2020. The collected data were analyzed with the chi-squared test, Fisher exact test, independent t-test, and logistic regression analysis using STATA 17 program. Results: There was a statistically significant increased fall risk; accompanied by a guardian (OR=10.30 CI=2.66~39.94), number of attachment devices (OR=1.30, CI=0.46~0.64), medication (OR=0.17, CI=0.04~0.84), pain (OR=4.73, CI=1.59~14.0), walking problem (OR=29.85, CI=9.31~95.74), chemotherapy (OR=5.20, CI=1.81~14.89), and fall risk score (OR=1.83, CI=1.50~2.24). Conclusion: These findings can serve as academic evidence to support the role of nurses in assessing the risk of fall events/accidents with regard to cancer patients and the development of individually adjusted fall assessment tools.
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