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Orthostatic Vital Signs Algorithm: Decreasing Falls in Patients Undergoing Blood and Marrow Transplantation or Treatment With Cellular Immunotherapy

Authors: Lisa, Grady; John, Klein; Amy Elizabeth, Patterson; Crystal, Pompos; Richard R, Reich; Tina M, Mason;

Orthostatic Vital Signs Algorithm: Decreasing Falls in Patients Undergoing Blood and Marrow Transplantation or Treatment With Cellular Immunotherapy

Abstract

Falls experienced by patients undergoing blood and marrow transplantation or treatment with cellular immunotherapy (BMT-CI) may result in injury or death. An algorithm was developed using the patient fall circumstances identified in a chart analysis from 2016.This study aimed to determine if the Moffitt BMT-CI Orthostatic Vital Signs Algorithm could decrease inpatient falls.A pre-/post-test program evaluation was conducted for one year pre- and postimplementation of the algorithm on newly admitted inpatients. Adherence rate of nurses using the algorithm was monitored.Overall falls decreased from 5.38% to 3.44%, with zero falls or injuries related to orthostasis for newly admitted patients. Adherence of nurses using the algorithm increased from 60% to 93%. The fall rate has been sustained less than baseline with 100% adherence, and the algorithm has been adopted as standard of practice.

Related Organizations
Keywords

Bone Marrow, Vital Signs, Humans, Immunotherapy, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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