AutoICD API

59453-1

Surveys

Morse Fall Scale panel

Definition

The Morse Fall Scale (MFS) is a rapid and simple method of determining a patient's likelihood of falling. A large majority of nurses (82.9%) rate the scale as "quick and easy to use," and 54% estimated that it took less than 3 minutes to rate a patient. The MFS consists of six variables that are quick and easy to score, and it has been shown to have predictive validity and interrater reliability. The MFS is used widely in acute care, hospital, rehabiliation and nursing homes. Scoring and Risk Level: The MFS score is tallied and recorded on the patient's chart. Risk level and appropriate interventions are then identified.

LOINC 6-Axis Classification

Component

Morse Fall Scale panel

Property

Find

Time Aspect

Pt

System

^Patient

Scale Type

Ord

Method Type

N/A

Details

Class

PANEL.SURVEY.MFS

Order/Observation

N/A

Related Names

FindingFindingsMFSMorse Fall ScoreOrdinalPanPANEL.SURVEY.MFSPanlPnlPoint in timeQLQualQualitativeRandomScreenSurveySURVEY.MFS

Frequently Asked Questions

What is LOINC code 59453-1?

LOINC code 59453-1 identifies "Morse Fall Scale panel". The Morse Fall Scale (MFS) is a rapid and simple method of determining a patient's likelihood of falling. A large majority of nurses (82.9%) rate the scale as "quick and easy to use," and 54% estimated that it took less than 3 minutes to rate a patient. The MFS consists of six variables that are quick and easy to score, and it has been shown to have predictive validity and interrater reliability. The MFS is used widely in acute care, hospital, rehabiliation and nursing homes. Scoring and Risk Level: The MFS score is tallied and recorded on the patient's chart. Risk level and appropriate interventions are then identified.

What does 59453-1 measure?

This code measures Morse Fall Scale panel in ^Patient. It belongs to the PANEL.SURVEY.MFS class in the LOINC classification.

What is LOINC?

LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.