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Chinese Journal of Geriatrics Research(Electronic Edition) ›› 2024, Vol. 11 ›› Issue (02): 1-4. doi: 10.3877/cma.j.issn.2095-8757.2024.02.001

• Clinical Research •    

The predictive value of modified Morse scale for falls risk in elderly inpatients

Juan Cao1, Ya Zhu1,(), Yuquan Wu1,(), Xugang Hu1, Fang Dong1, Yilian Hong1, Ying Gui1   

  1. 1. Elderly Disease Diagnosis and Treatment Center, the 903th Hospital of Joint Support Force of PLA, Hangzhou 310013, China
  • Received:2023-12-15 Online:2024-05-28 Published:2024-09-10
  • Contact: Ya Zhu, Yuquan Wu

Abstract:

Objective

To improve the Morse Fall Risk Assessment Scale using the Geriatric Comprehensive Assessment (CGA) technique and explore its role in fall risk management for elderly hospitalized patients.

Methods

From June 2020 to December 2021, our center admitted 238 patients who completed the Morse Fall Assessment Scale and Comprehensive Geriatric Assessment (CGA) software screening, including 48 patients with falls. Compare the Morse Fall Risk Assessment Scale before and after improvement to predict high-risk fall populations, and use receiver operating characteristic (ROC) curves to compare the area under the curve (AUC), sensitivity, specificity, and Jordan index of the scale in predicting fall risk.

Results

According to the Morse Fall Risk Assessment Scale, among the 238 patients, 86 were of high risk of falling, 109 were of medium risk, and 43 were of low risk; According to the modified Morse Fall Risk Assessment Scale, among the 238 patients, 86 were of high risk of falling, 111 were of medium risk, and 41 were of low risk.The scores of 48 fall patients before and after improvement were higher than those of non fall patients (P < 0.01), but the proportion of medium risk patients evaluated by the improved scale increased compared to before improvement (6.42% and 8.10% respectively), while the proportion of low-risk patients decreased (11.63% and 7.31% respectively), and the proportion of high-risk patients remained unchanged. The ROC curve analysis results showed that the AUC of the Morse Fall Risk Scoring Scale for predicting falls was 0.828 (95%CI: 0.773-0.873, P < 0.01), and the AUC of the modified Morse Fall Risk Scoring Scale was improved to 0.848 (95%CI: 0.795-0.891, P < 0.01), but the difference between the two was not statistically significant (Z=1.116, P > 0.05). The sensitivity of the Morse Fall Risk Scoring Scale was 64.58%, the specificity was 95.79%, and the Youden index was 0.604; The sensitivity of the modified Morse Fall Risk Scoring Scale was 60.42%, the specificity was 97.89%, and the Youden index was 0.583.

Conclusion

The Morse Fall Risk Assessment Scale, improved based on CGA, can improve the accuracy of fall risk prediction.

Key words: Comprehensive geriatric assessment, Falls, Sarcopenia, Risk prediction

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