Evaluation Study
Journal Article
Add like
Add dislike
Add to saved papers

Evaluation of the "medication fall risk score".

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.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app