Related Experiment Video
Updated: Jan 17, 2026

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020
Erika Fernanda Dos Santos Bezerra Ludwig1, Maria do Carmo Fernandez Lourenço Haddad1, Mariana Ângela Rossaneis Moreira1
1Universidade Estadual de Londrina, Programa de Pós-Graduação em Enfermagem, Londrina, PR, Brazil.
Objective:
To analyze the mortality of users attended by a Mobile Emergency Care Service located in Paraná.
Methods:
This is a cross-sectional analytical study based on service reports from 2019 and 2020. The Mobile Emergency Care Service covered 21 municipalities, divided into hubs A and B. The dependent variables defined were death and time of care. Survival functions were calculated using the Kaplan-Meier estimator and the log-rank test; hazard ratio (HR) for death, by Cox regression with 95% confidence interval (95%CI).
Results:
The study evaluated 13,326 instances of care provided. Of these, 246 resulted in death. The risk of death was higher in time-sensitive calls (HR 0.17; 95%CI 0.008; 0.37), in 2020 (HR 2.09; 95%CI 1.39; 3.16), attended by advanced support (HR 21.51; 95%CI 12.61; 36.70) and in Hub B (HR 4.26; 95%CI 2.53; 7.17).
Conclusion:
Mortality was higher in cases that had a long wait for time-sensitive calls, occurred in less populated regions, and were dealt with by advanced support in 2020.
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Kaplan-Meier Approach
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...

