The Unique Health and Rehabilitation Needs of Those Who Serve or Have Served
Notice bibliographique
Résumé
Military personnel serving in the Canadian Forces have a health care system that is attuned to their needs; in fact, this sytem offers a quality and consistency of care that is second-to-none. However, military families and Canada's veterans must rely on the publicly funded health care systems, which are managed differently in each province and which may not recognize their particular health issues and concerns. Indeed, the change in care from the Canadian Forces Health Services to the civilian system often is one of the most difficult aspects of transition to civilian life. Canada has more than 700,000 veterans, many of whom have had occupational and operational exposures that put them at risk for a variety of health problems. These problems may be related to their physical health (eg, early onset osteoarthritis or illness caused by unique environmental exposures), to their mental health (eg, post-traumatic stress disorder and depression), or to their social health as they transition to civilian life. Research on this unique segment of society not only leads to focused and specific care that meets veterans' needs, it offers insights into care for many other patient groups, including high-performance athletes, seniors, and the general population. Although extrapolating from research on the general population to those who serve or have served in the military is not easy, extrapolating from military or veteran health research to the general population can be very beneficial. In this special issue, you will find articles that speak to all aspects of rehabilitation for military personnel and veterans. The work provides valuable insights into a segment of the population that has high demands placed on them, and it offers guidance for care for all patient populations. This special issue represents one way in which we have begun to develop a solid evidence base for care and to ensure that the research community recognizes the unique nature of military personnel, veterans, and their families. With estimates of as many as 35,000 personnel leaving the Canadian Forces in the next 5 years, it is critical that health care providers, program developers, and policy makers put the research into action to ensure that care is of the highest possible standard. As you read this special issue of PTJ, I encourage you to take the many lessons learned and apply them to your practice, and also to reflect on the social covenant between our countries and the sons and daughters, husbands and wives, mothers and fathers who are sent into harm's way in defense of the freedom and quality of life we all enjoy.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,004 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,006 |
| Communication savante | 0,009 | 0,006 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,024 | 0,038 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,004 |
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 source (Gemma direct ou Codex distillé), 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 ».