Evidence map›Paper›PMID 29376513›Full record

ArticleJournal of injury & violence research2018

Evaluating the impact of an injury prevention measure regarding different sociodemographic factors.

Thomas Brockamp, Paola Koenen, Manuel Mutschler, Michael Köhler, Bertil Bouillon, Uli Schmucker, Michael Caspers, Working Group Injury Prevention Of The German Trauma Society

Abstract readComparative Study
In one paragraph

Article in Journal of injury & violence research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Thomas BrockampDepartment of Traumatology and Orthopedic Surgery, Cologne-Merheim Medical Center (CMMC), University of Witten/ Herdecke, Ostmerheimer Str. 200, 51109 Cologne, Germany. Email: tbrockamp@gmail.com.
Paola Koenen
Manuel Mutschler
Michael Köhler
Bertil Bouillon
Uli Schmucker
Michael Caspers
Working Group Injury Prevention Of The German Trauma Society

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic collisions (RTC) remain a major problem especially among young road users. Injury prevention measures and licensing systems have increasingly been developed to counteract some of the negative effects of RTCs in youth. The Prevent Alcohol and Risk Related Trauma in Youth (P.A.R.T.Y.) program is an injury prevention program that promotes prevention through reality education. In this study, the impact of the program on different sociodemographic subgroups of school students was analyzed. The aim was to find out which subgroups were influenced the most and how improvements to the program can be made.

methodsEvaluation was performed in a pre-post-intervention setting by means of a standardized questionnaire. The questionnaire contained three different sections with a total of 22 questions to identify students' responses regarding risk-behavior and risk-assessment. Evaluation was done at two different points on the same day (pre-and post-intervention). Data were analyzed with a focus on gender, age, residential area and level of education. Cronbach's alpha was used to check all questions for reliability. Data were analyzed using the t-test and the Wilcoxon signed-rank test with significance defined as p less than 0.05.

resultsThe study sample contains 193 students (range 14-17 years of age, 44% male). Female students show better results regarding risk-behavior and risk-awareness. The same applies to students of a higher educational level. And students ≥ 16 years showed significantly better results in all three sections compared to younger students.

conclusionsMorbidity and mortality due to RTCs is a major problem in the group of young road users. Especially male road users between 14 and 17 years of age with a low educational level are at high risk to sustain road traffic injuries. Our results show that the P.A.R.T.Y. program has a stronger effect on young female students. Additionally, a significant effect was measured on students ≥ 16 years of age and on students with a higher educational level. Prevention measures need to be evaluated and further improved particularly in order to address the high-risk group of young, male road users with a lower educational status.

Indexed as

Accidents, TrafficAdolescentAdolescent BehaviorAge FactorsAutomobile DrivingFemaleGermanyHumansMaleReproducibility of ResultsRisk-TakingSex FactorsSocioeconomic FactorsStudentsSurveys and QuestionnairesWounds and Injuries

Identifiers

PMID29376513
PMCPMC5801610

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.