Notice bibliographique
Résumé
International Journal of Emergency Services (IJES) is publishing thirteen original articles that explore a range of subjects relevant to the three main emergency services (ambulance police and fire).It includes important themes such as mental health and stress patterns, decision-making, use of lights and sirens (L&S), pre-arrival information and support available to emergency medical services (EMS) frontline responders; fatigue and shift pattern in the police; the issue of leadership, informal peer support in the fire services including alcohol and drug related fire injuries and multi-agency collaboration in dealing with underground tunnel incidents.These papers seek to close the information gap by making significant contributions to the emergency management literature and the way we view the role of emergency management practitioners.In our first article, entitled "Mental health patterns during COVID-19 in emergency medical services (EMS)", Silvia Monteiro Fonseca et al. have explored the patterns of EMS personnel's mental health regarding their levels of anxiety, depression and stress during COVID-19 pandemic.The study analyzed over 200 surveys completed by EMS personnel in Portugal, who answered the Patient-Health Questionnaire, Perceived Stress Scale (PSS), COVID-19 Anxiety Scale, Obsessive-Compulsive Inventory, Well-Being Questionnaire and COVID-19-related questions.The study findings explored EMS personnel's patterns of mental health during the COVID-19, as well as its covariates.Results allow to better prepare emergency management, which can develop prevention strategies focused on older professionals, COVID-19-related fears and how personnel assess security measures.Study findings have clear implications for staff working in other domains.Allyson Oliphant et al. in their paper, entitled "At the front of the front-line: Ontario paramedics' experiences of occupational safety, risk and communication during the 2020 COVID-19 pandemic," have explored the impact of the pandemic on a sample of Canadian paramedics.Their study aimed to determine on what bases paramedics in this context have defined themselves as feeling safe or at risk while serving on the front lines role.This qualitative study consisted of semi-structured interviews with primary care paramedics (PCPs), advanced care paramedics (ACPs) and critical care paramedics (CCPs) with first-hand experience responding to the COVID-19 pandemic in Ontario province.The study highlighted several stress factors which are related to personal protective equipment (PPE) and equipment access, risks of infection to self and family, communications and feelings of being systematically under-considered.The study recommendations from this research include, but are not limited to, ensuring a more equitable distribution of protective equipment to paramedics across unevenly funded services and recognizing paramedics face unique and additional stressors in public health emergencies.Ellen Ceklic et al. in their interesting paper, entitled "Can ambulance dispatch categories discriminate traffic incidents that do/do not require a lights and sirens response?",argue that traffic incidents vary considerably in their severity, and the dispatch categories assigned during emergency ambulance calls aim to identify those incidents in greatest need of a L&S response and argue whether dispatch categories could discriminate between those traffic incidents that do/do not require an L&S response.The study was a population-based retrospective cohort study of traffic incidents attended by St John Western Australia (SJ-WA), in Perth, Western Australia.The paper makes a unique contribution as it considers traffic incidents not as a single entity but rather as a number of dispatch categories which has practical implications for those EMS dispatching ambulances to the scene with and the findings have relevance for services in different settings as well.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,042 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».