Risk of falling among hospitalized patients with high modified Morse scores could be further Stratified

Irina Gringauz1,2, Yael Shemesh3,2, Amir Dagan1,2

  • 1Internal Medicine T Department, Chaim Sheba Medical Center, 5265601, Tel-Hashomer, Israel.

Abstract

Insights

Hospitalized patients with high fall risk scores (MMFS) can be further stratified using factors like mild dependence and specific medications. This helps identify individuals at higher risk of falls during their hospital stay.

Area of Science:

  • Gerontology
  • Internal Medicine
  • Patient Safety

Background:

  • Hospital falls have significant clinical and financial consequences.
  • The Modified Morse Fall Scale (MMFS) is a common tool for assessing fall risk in hospitalized patients.
  • Many patients with high MMFS scores do not fall, indicating a need for improved risk stratification.

Purpose of the Study:

  • To identify patient characteristics that can further stratify fall risk in hospitalized individuals with high MMFS scores.
  • To test the hypothesis that factors beyond MMFS can predict falls in high-risk patients.

Main Methods:

  • Retrospective cohort analysis of adult patients admitted to Internal Medicine departments.
  • Inclusion criteria: high MMFS score (≥9) upon admission.
  • Comparison of patients who fell during hospitalization with a control group who did not fall.

Main Results:

  • Patients who fell had higher MMFS, mild dependence, and used canes or no walking devices more frequently.
  • Independent predictors of falls included mild dependence, anti-epileptic drugs, hypoglycemic agents, and hypothyroidism.
  • Use of walkers or wheelchairs was associated with a decreased risk of falling.

Conclusions:

  • Patient characteristics like mild dependence and specific medications can refine fall risk assessment in high-MMFS patients.
  • Incorporating these factors into risk stratification models may improve prediction of falls in hospitalized individuals.
  • Further research should focus on developing and validating enhanced fall risk assessment tools for hospitalized patients.

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