Cyrus Yazdani1, Scott Hall2. 1. Department of Pharmacy Services, HonorHealth John C. Lincoln Medical Center, Phoenix, AZ. cyrus.yazdani@honorhealth.com. 2. Department of Pharmacy Services, HonorHealth John C. Lincoln Medical Center, Phoenix, AZ.
Abstract
PURPOSE: Results of a study evaluating the predictive validity of a fall screening tool in hospitalized patients are reported. METHODS: Administrative claims data from two hospitals were analyzed to determine the discriminatory ability of the "medication fall risk score" (RxFS), a medication review fall-risk screening tool that is designed for use in conjunction with nurse-administered tools such as the Morse Fall Scale (MFS). Through analysis of data on administered medications and documented falls in a population of adults who underwent fall-risk screening at hospital admission over a 15-month period (n = 33,058), the predictive value of admission MFS scores, alone or in combination with retrospectively calculated RxFS-based risk scores, was assessed. Receiver operating characteristic (ROC) curve analysis and net reclassification improvement (NRI) analysis were used to evaluate improvements in risk prediction with the addition of RxFS data to the prediction model. RESULTS: The area under the ROC curve for the predictive model for falls compromising both MFS and RxFS scores was computed as 0.8014, which was greater than the area under the ROC curve associated with use of the MFS alone (0.7823, p = 0.0030). Screening based on MFS scores alone had 81.25% sensitivity and 61.37% specificity. Combined use of RxFS and MFS scores resulted in 82.42% sensitivity and 66.65% specificity (NRI = 0.0587, p = 0.0003). CONCLUSION: Reclassification of fall risk based on coadministration of the MFS and the RxFS tools resulted in a modest improvement in specificity without compromising sensitivity.
PURPOSE: Results of a study evaluating the predictive validity of a fall screening tool in hospitalized patients are reported. METHODS: Administrative claims data from two hospitals were analyzed to determine the discriminatory ability of the "medication fall risk score" (RxFS), a medication review fall-risk screening tool that is designed for use in conjunction with nurse-administered tools such as the Morse Fall Scale (MFS). Through analysis of data on administered medications and documented falls in a population of adults who underwent fall-risk screening at hospital admission over a 15-month period (n = 33,058), the predictive value of admission MFS scores, alone or in combination with retrospectively calculated RxFS-based risk scores, was assessed. Receiver operating characteristic (ROC) curve analysis and net reclassification improvement (NRI) analysis were used to evaluate improvements in risk prediction with the addition of RxFS data to the prediction model. RESULTS: The area under the ROC curve for the predictive model for falls compromising both MFS and RxFS scores was computed as 0.8014, which was greater than the area under the ROC curve associated with use of the MFS alone (0.7823, p = 0.0030). Screening based on MFS scores alone had 81.25% sensitivity and 61.37% specificity. Combined use of RxFS and MFS scores resulted in 82.42% sensitivity and 66.65% specificity (NRI = 0.0587, p = 0.0003). CONCLUSION: Reclassification of fall risk based on coadministration of the MFS and the RxFS tools resulted in a modest improvement in specificity without compromising sensitivity.
Authors: Vanja Milosevic; Aimee Linkens; Bjorn Winkens; Kim P G M Hurkens; Dennis Wong; Brigit P C van Oijen; Hugo M van der Kuy; Carlota Mestres-Gonzalvo Journal: BMJ Open Date: 2021-05-03 Impact factor: 2.692