Predictors of Hospital Readmission After Motor Vehicle Crash: Prospective Cohort Study.

Background: Motor vehicle crash (MVC) is a major public health problem worldwide and contributes to a large burden of death, disability, and economic loss.

Objective: To identify the predictors of hospital readmission in victims of MVC within 1 year after discharge.

Methods: A prospective cohort study conducted with individuals who suffered MVC admitted to a regional hospital and who were followed up for 12 months after discharge.

RISK AND PREVENTIVE FACTORS FOR TRAFFIC ACCIDENTS: ANALYSIS OF CHILDREN'S PERCEPTION USING THE EDUTHERAPEUTIC METHOD.

Objective: To describe children's perception of risk and preventive factors related to traffic accidents using the Edutherapeutic Method.

Methods: This is a qualitative descriptive study carried out with 173 students from public schools aged seven to 14 years in Lagarto, Sergipe, Brazil. Data were collected in the second half of 2014.

EDUCATIONAL PROGRAM FOR THE PROMOTION OF KNOWLEDGE, ATTITUDES AND PREVENTIVE PRACTICES FOR CHILDREN IN RELATION TO TRAFFIC ACCIDENTS: EXPERIMENTAL STUDY.

Objective: To evaluate knowledge, attitudes and preventive practices on traffic accidents in schoolchildren, before and after the implementation of a health education program.

Methods: Experimental study carried out in two public schools in Northeastern Brazil. The sample was composed of 173 children from 3rd to 5th grade and was randomized into Experimental Group (EG; n=0) and Control Group (CG; n=8).

Validation of the Nursing Diagnosis "Labile Emotional Control" in Traumatic Brain Injury.

Objective: To validate the defining characteristics of the nursing diagnosis "labile emotional control" in traumatic brain injury (TBI) outpatients.

Design: This was a descriptive, cross-sectional, quantitative study.

Methods: Thirty-one Brazilian nurses who were experts in the area of TBI answered a semistructured questionnaire on the diagnosis "labile emotional control" based on NANDA-International (NANDA-I) Taxonomy II (2015-2017) using a Likert-type scale to rate the 13 defining characteristics.