Analysis of risk prediction capability and validity of Morse Fall Scale Brazilian version.

Rev Gaucha Enferm

Universidade Federal de Santa Maria (UFSM), Programa de Pós-Graduação em Enfermagem. Santa Maria, Rio Grande do Sul, Brasil.

Published: February 2017

Objective: To analyse the power to predict risk and verify the validity of the Morse Fall Scale - Brazilian version (MFS-B).

Method: This is a methodological, longitudinal study with 1487 adult patients of two university hospitals of Rio Grande do Sul, Brazil conducted from November 2013 to March 2014. The MFS-B was used to assess the risk of falls. Statistical analysis comprised multivariate methods (discriminant function analysis and ROC curve). The research was approved by the ethics committees of the institutions.

Results: The best estimate to predict falls was at the cutoff point 44.78 of the average MFS-B score, with a sensitivity of 95.2% and a specificity of 64%. The occurrence of falls and the high-risk classification were significant (p<0.00001).

Conclusions: The results show that the MFS-B can appropriately predict the risk of falls at the cutoff point for the high-risk classification, according to the original classification. The MFS-B had adequate validation test results and maintained the six items of the original scale.

Download full-text PDF

Source
http://dx.doi.org/10.1590/1983-1447.2016.04.62200DOI Listing

Publication Analysis

Top Keywords

validity morse
8
morse fall
8
fall scale
8
scale brazilian
8
brazilian version
8
analysis risk
4
risk prediction
4
prediction capability
4
capability validity
4
version objective
4

Similar Publications

Disenfranchised grief is a form of grief that remains unacknowledged and unsupported. Building on Doka's foundational concept of disenfranchised grief, the guiding framework for this pilot project was the Knowledge to Action framework. This study is a quantitative cross-sectional web-based survey, which included a validated questionnaire: the Witnessing Disenfranchised Grief Scale.

View Article and Find Full Text PDF

Introduction: For people living with diabetes, effective glucose monitoring is a key component in diabetes care, helping to reduce disease burden, complications, and healthcare utilization. Sensor-based glucose monitoring systems, which can provide more comprehensive information about glucose levels than capillary-based self-monitoring of blood glucose (SMBG), are becoming established among people living with diabetes. The objective of this study was to assess the cost-effectiveness of glucose monitoring with FreeStyle Libre systems, compared with SMBG, from the perspective of a Canadian private payer.

View Article and Find Full Text PDF

The United States Medical Licensing Examination (USMLE) is a critical step in assessing the competence of future physicians, yet the process of creating exam questions and study materials is both time-consuming and costly. While Large Language Models (LLMs), such as OpenAI's GPT-4, have demonstrated proficiency in answering medical exam questions, their potential in generating such questions remains underexplored. This study presents QUEST-AI, a novel system that utilizes LLMs to (1) generate USMLE-style questions, (2) identify and flag incorrect questions, and (3) correct errors in the flagged questions.

View Article and Find Full Text PDF

Objective: The present study aimed to assess the efficacy of this approach and establish the criteria that identify LAPC patients who may achieve survival benefits from RRCIA.

Summary Background Data: Surgical resection for locally advanced pancreatic cancer (LAPC) remains challenging and associated with high morbidity and mortality, especially for surgery with major arterial reconstruction. We previously showed the feasibility and safety of Radical Resection Combined with Intestinal Autotransplantation (RRCIA) after systemic treatment.

View Article and Find Full Text PDF

Validation of a Low-Cost Method for Recording and Supervising Otolaryngology Trainee Endoscopies.

J Voice

November 2024

The Sean Parker Institute for the Voice, Department of Otolaryngology - Head and Neck Surgery, Weill Cornell Medicine, New York, NY. Electronic address:

Article Synopsis
  • Researchers designed low-cost smartphone adapters for recording endoscopic procedures in otolaryngology and evaluated their image quality and usability in hospital settings.
  • The adapters were developed using 3D printing and were provided to otolaryngology trainees and staff, who then completed surveys assessing their effectiveness and image quality compared to existing methods.
  • The study concluded that these adapters offered good image quality and usability while being far more affordable, making them a viable option for clinical supervision of trainee procedures.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!