Barriers and Enablers to Enacting Child and Youth Related Injury Prevention Legislation in Canada
Overview
Public Health
Affiliations
Injury prevention policy is crucial for the safety of Canada's children; however legislation is not adopted uniformly across the country. This study aimed to identify key barriers and enablers to enacting injury prevention legislation. Purposive snowball sampling identified individuals involved in injury prevention throughout Canada. An online survey asked respondents to identify policies that were relevant to them, and whether legislation existed in their province. Respondents rated the importance of barriers or enablers using a 5-point Likert type scale and included open-ended comments. Fifty-seven respondents identified the most common injury topics: bicycle helmets (44, 77%), cell phone-distracted driving (36, 63%), booster seats (28, 49%), ski helmets (24, 42%), and graduated driver's licensing (21, 37%). The top enablers were research/surveillance, managerial/political support and professional group consultation, with much variability between injury topics. Open-ended comments emphasized the importance of a united opinion as an enabler and barriers included costs of protective equipment and inadequate enforcement of legislation. The results highlighted the importance of strategies that include research, management and community collaboration and that injury prevention topics should be addressed individually as information may be lost if topics are considered together. Findings can inform the process of turning injury prevention evidence into action.
Traffic Accidents in Children and Adolescents: A Complex Orthopedic and Medico-Legal Approach.
Popa S, Ciongradi C, Sarbu I, Bica O, Popa I, Bulgaru-Iliescu D Children (Basel). 2023; 10(9).
PMID: 37761407 PMC: 10527870. DOI: 10.3390/children10091446.
Cloutier M, Beaulieu E, Fridman L, Macpherson A, Hagel B, Howard A Inj Prev. 2020; 27(1):77-84.
PMID: 33148798 PMC: 7848053. DOI: 10.1136/injuryprev-2020-043829.
Effect of Using Mobile Phones on Driver's Control Behavior Based on Naturalistic Driving Data.
Zhang L, Cui B, Yang M, Guo F, Wang J Int J Environ Res Public Health. 2019; 16(8).
PMID: 31027174 PMC: 6518206. DOI: 10.3390/ijerph16081464.
Fridman L, Fraser-Thomas J, Pike I, Macpherson A Can J Public Health. 2018; 109(4):573-580.
PMID: 30073552 PMC: 6964635. DOI: 10.17269/s41997-018-0112-z.