Conference Year

2016

Hospital/Entity

Homestead Hospital

Category of Abstract

Research

Abstract

Title: An exploration of the association of patient characteristics and pharmacological treatments to inpatient falls among patients at-risk for falling during hospitalization.

Introduction: In 2013, the total direct cost of fall injuries for people 65 and above was $34 billion after adjusting it to inflation (cdc.gov). Falls may be the most commonly reported incidents in the acute care setting, and the second most frequent cause of harm in the hospital (patientcarelink.org). Yet, most studies have been descriptive in nature with no attempt made to determine what factors actually predicted the occurrence of falls among hospitalized patients (Dupree & Musheno, 2014; Tzeng & Yin, 2008; Williams, Szekendi, & Stephen, 2014). The purpose of this study is to identify potential predictors of inpatient falls by comparing the characteristics of patients at high risk for falling during hospitalization who actually fell to those who did not fall.

Methods: This observational study involves the analysis of retrospective data. A sample of all patients with a Morse Fall Scale of ≥45 were extracted from medical records data of patients hospitalized at Homestead Hospital from July 1st, 2014 to June 30th, 2015. Potential predictor variables consist of patient demographic characteristics, clinical characteristics, comorbidities, and medications administered during hospitalization and within 24 hours prior to a fall. The study results will be reported in aggregate. Descriptive and analytical statistics will be generated including frequencies, percentiles, comparisons based on measures of central tendency, cross-tabulation, univariate and multivariate logistic regression, etc.

Results:The final sample size was 5357 patients with 150,000 medication data points. The study is currently in the analysis phase; completion of data analysis is expected by conference date.

Conclusions: We expect that the results of this study will assist nurses and other clinicians to develop fall prevention programs that target subpopulations at highest risk for falling.

Objective of Presentation

At the end of the presentation, the audience will:

  1. Identify patient characteristics and prescribed pharmacological treatments common among hospitalized patients who actually fell as compared to those who were at risk but did not fall during hospitalization.

  2. Enumerate independent predictors of falls among patients at risk for falls during hospitalization.

  3. Understand the implications of the study and how the results may be used to prevent patient falls in the hospital setting.

Summary of Presentation

This presentation will describe an observational, cross-sectional research study conducted in a sub-urban community hospital to identify patient characteristics and pharmacological treatments among patients at-high risk for falling who actually fell during hospitalization.

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Jan 1st, 12:00 AM

An exploration of the association of patient characteristics and pharmacological treatments to inpatient falls among patients at-risk for falling during hospitalization.

Title: An exploration of the association of patient characteristics and pharmacological treatments to inpatient falls among patients at-risk for falling during hospitalization.

Introduction: In 2013, the total direct cost of fall injuries for people 65 and above was $34 billion after adjusting it to inflation (cdc.gov). Falls may be the most commonly reported incidents in the acute care setting, and the second most frequent cause of harm in the hospital (patientcarelink.org). Yet, most studies have been descriptive in nature with no attempt made to determine what factors actually predicted the occurrence of falls among hospitalized patients (Dupree & Musheno, 2014; Tzeng & Yin, 2008; Williams, Szekendi, & Stephen, 2014). The purpose of this study is to identify potential predictors of inpatient falls by comparing the characteristics of patients at high risk for falling during hospitalization who actually fell to those who did not fall.

Methods: This observational study involves the analysis of retrospective data. A sample of all patients with a Morse Fall Scale of ≥45 were extracted from medical records data of patients hospitalized at Homestead Hospital from July 1st, 2014 to June 30th, 2015. Potential predictor variables consist of patient demographic characteristics, clinical characteristics, comorbidities, and medications administered during hospitalization and within 24 hours prior to a fall. The study results will be reported in aggregate. Descriptive and analytical statistics will be generated including frequencies, percentiles, comparisons based on measures of central tendency, cross-tabulation, univariate and multivariate logistic regression, etc.

Results:The final sample size was 5357 patients with 150,000 medication data points. The study is currently in the analysis phase; completion of data analysis is expected by conference date.

Conclusions: We expect that the results of this study will assist nurses and other clinicians to develop fall prevention programs that target subpopulations at highest risk for falling.