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Enregistrement W2220843260 · doi:10.1136/injuryprev-2012-040590d.57

If it's about youth, involve youth: creating opportunities for youth engagement in injury prevention

2012· article· en· W2220843260 sur OpenAlexaffabout
Morris Green

Notice bibliographique

RevueInjury Prevention · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueInjury Epidemiology and Prevention
Établissements canadiensNova Scotia Department of Health and WellnessNova Scotia Health Authority
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)Youth engagementSuicide preventionWork (physics)Public relationsPoison controlInjury preventionOccupational safety and healthPsychologyPolitical scienceBusinessMedicineEnvironmental healthEngineering

Résumé

récupéré en direct d'OpenAlex

Policy Research Teenagers represent a disproportionate percentage of intentional and unintentional injuries in Canada. Policies, programmes and strategies designed to reduce the rates of injury among youth rarely involve young people in their development despite strong evidence that youth engagement will improve the outcomes of those policies, programmes and strategies. Provincial graduated license guidelines have never included youth feedback even though the majority of new licenses go to teenagers. School-based injury prevention resources have rarely been developed with youth involvement. Alcohol policies have been created by exclusively by adults even though the negative consequences of those policies impact youth most acutely. The Nova Scotia government is working to change the relationship between government and young people by being more open and inclusive so they can become more meaningfully involved in youth health work. Several innovative mechanisms have been established to facilitate greater youth engagement and improve the interphase between government policy makers and young people. Work already underway that is connected to injury includes a provincial as well as a municipal alcohol strategy, a programme to curb driving while stoned, effective strategies to reduce youth suicide and cyberbullying, and a provincial crime prevention strategy. An oral presentation will provide an overview of the Nova Scotia experience—the barriers to meaningful youth involvement, effective youth engagement strategies and success stories to date. Background Information It has become a common practice in Lagos Metropolise and other major cities in Nigeria to see commercial vehicles and motor bikes driving on public pedestal walkways especially during rush hours when there is heavy traffic. Some motor bikes and motor vehicle drivers especially the commercial vehicle drivers drives on pedestal walkways even in the presence of law enforcement official around without any sanction, thereby forcing school children and other people walking to jump into the main road to avoid being knock down. Sometimes children walking on the pedestal walkways are knock down and are injuried. Aims/Objectives/Purpose This study was conducted to: Analyse the impact of driving on Pedestal walkways on children safety in Nigeria; Capture children perception of their safety while walking on the pedestal walkways; Draw the attention of the government and policy makers to put in place laws, regulations and appropriate sanctions to deter motor vehicle drivers from driving on pedestal walkways; Draw the attention of the law enforcement officials to the danger that motorbikers and motor vehicles driving on the pedestal walkways pose to children and others. Methods The study was carried out in 5 out of the 20 Local Government Areas (LGAs) in Lagos State. The study involved the documentation of accidents involving children being knock down by of motor vehicle and motorbikes on pedestal walkways for a period of 1 year from February 2010 to January 2011. The study was carried out with the aid of shop attendants that work in shops located close the pedestal walkways. The shops attendants were recruited to monitor and document incidents of motor bikes and motor vehicles driving on pedestal walkways and accidents involving children between age 1–10 years old. The second part involve using key informant interview to determine the perception of children about their safety while walking on pedestal walkway daily to and from school. All 10 children (mainly school children) were interviewed in each of the five LGAs. Results/Outcome The results show that commercial vehicles and motor bikes drives on the pedestal walkways daily especially when there is traffic. The data gathered from the study sites revealed that an average of 50 children are knocked down within the five Local Government by motorbikes and commercial vehicles monthly while walking on pedestal walkways. So for the 12 months that the study was carried out about 600 children were knocked down by motor bikes and motor vehicles. The result of the key informant interview shows that 89.3% of the total number of children interviewed said their are not safe walking on the walkways while motor bikes and motor vehicles drive on the same pedestal walkways while 10.7% said they do not know whether they are safe walking on the pedestal walkways while motorbikes and vehicles drive on the walkways. Significance/Contribution to the Field The study was able to monitor and document accidents that happened in the pedestal walkway involving children, capture children perception of their safety while walking on the pedestal walkways; draw the attention of the government and policy makers to put in place laws, regulations and appropriate sanctions to deter motor vehicle drivers from driving on pedestal walkways, thus improving safety for children as they walk to and fro school daily in the streets of Lagos metropolise.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,451
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,166
Tête enseignante GPT0,383
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission2
Résumé présentoui

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