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Enregistrement W1966099819 · doi:10.1080/14635240.2011.10708202

The Fort McMurray Demonstration Project in Social Marketing: Self-Reported Safety-Related Health Behaviours Following a Combined Community and Workplace Intervention

2011· article· en· W1966099819 sur OpenAlexafffundabout
Tee L. Guidotti, Lorien C. Abroms, Lynda Ford, Gian S. Jhangri

Notice bibliographique

RevueInternational Journal of Health Promotion and Education · 2011
Typearticle
Langueen
DomaineHealth Professions
ThématiqueCommunity Health and Development
Établissements canadiensUniversity of AlbertaAlberta Health Services
Organismes subventionnairesSyncrudeNorthwestern University
Mots-clésRespondentOccupational safety and healthPsychological interventionPopulationPoison controlSuicide preventionInjury preventionSocial marketingEnvironmental healthPsychologyIntervention (counseling)RecessionMedicineGerontologyNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

Abstract Aims: The Fort McMurray Demonstration Project in Social Marketing blended occupational safety and injury prevention in community-based, participatory health promotion project. Setting: A small, industrial city in northern Alberta, which experienced an economic downturn during the study period which resulted in demographic changes. Participants: The project relied heavily on community-based partners and participants. Saturation penetration of safety messages was achieved for the resident population. Measurements: Results from a telephone survey of 120 residents conducted in 1995 were compared with results from a survey conducted in 1992 using the same questionnaire. Findings: There was little change in most self-reported safety-related behaviours and a reported decline in compliance with eye and ear protection. However, subjects in the 1995 survey round were a survivor population because they had stayed through the downturn and were older, less well educated, and earned less than the sample in 1992. Conclusions: Injury rates changed dramatically during the study period in both the intervention and reference communities but self-reported safety- related behaviours in the monitoring survey did not change with the decline in injuries, as would be expected. Respondent bias is the most likely explanation for the absence of demonstrable change. Taking into account that the findings are confounded by a demographic transition in the community, there is still no evidence that the intervention changed safety-related behaviour in the community in the face of an already strong downward trend in injury frequency in the province as a whole. We conclude that future community-level interventions require a different model. The Fort McMurray Demonstration Project in Social Marketing was a comprehensive community-based program aimed at achieving reductions in the frequency of injuries through lasting changes in the safety-related health behaviours of residents (Guidotti, Ford, and Wheeler, 2000). Its design was based on injury prevention programs initiated in Scandinavia the decade before (Lindqvist, 2004, Lindqvist, Timpka, and Schelp, 1996; Nilsen, Ekman, Ekman, Ryen, and Lindqvist, 2007). The principal innovation in Fort McMurray was the blending of community and workplace interventions to achieve cross-over effects from safe behaviour at home and at work. Although injury rates in Fort McMurray fell precipitously during the period, they did so in the comparison community as well (Guidotti, Deb, Bertera, and Watson, 2009). The demonstration program therefore showed no addedvalue, although it was implemented under seemingly ideal conditions. Our experience therefore raises questions about the robustness of the model in practice and suggests that a new model is needed. Little is known about what makes such community-level interventions effective (Thompson and Kinne, 1990; Glanz, 2002; Nilsen, 2004). In this report we examine self-reported safety-related behaviour and find a paradox in that there was little change over the course of the study among respondents despite the dramatic reduction in injury rates. Our experience suggests that demographic change may affect the ability to detect behavioural change in a survivor population.

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)0,017
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,534
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0170,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,113
Tête enseignante GPT0,463
Écart entre enseignants0,349 · 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'étudeObservationnel
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

Citations1
Publié2011
Routes d'admission3
Résumé présentoui

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