Delay to operative treatment of femoral fractures in the province of Quebec - effects on complications and cost of care
Notice bibliographique
Résumé
Waiting time to access medical care in Canada is 20% more than the international average. Delayin instituting care in trauma patients has been shown to be associated with higher complicationrates and an increase in mortality. Whenever complications occur during patient care, it usuallyresults in increased cost of care. Femur fractures constitute about 11% of all fractures and areusually treated operatively. Delay in operative treatment is a source of distress to these patientsand a major factor for poor outcome. Knowledge gaps exist for statistics on operative delay tofixation of isolated femur fractures and the influence on complications and cost of treatment.This study describes (1) the burden and effect of delay to operative fixation of fractures of thefemur on the occurrence of complications as well as on the overall cost of care in hospitals withinthe Province of Quebec. Other objectives include: (2) to compare reoperation rates between adultpatients with and without delayed surgeries. (3) To propose a time frame within which femurfractures should be operatively treated in order to minimize the risk of complications and to reducetreatment cost.6,520 adult patients operatively treated for closed femoral fractures between July 1993 andDecember 2002 were recruited into this study. Data was accessed from the Quebec TraumaRegistry, the MED-ECHO and the RAMQ databases of costs for medical treatments. Detailsobtained from the registry included: demographic information of the patients, time of injury andother details of the injury, time of arrival in the emergency room, Injury Severity Score (ISS), typeand location of the femur fracture, and method/type of operative fracture stabilization. Outcomemeasures included length of hospital stay, cost of treatment, re-operations and early post-operativecomplications. Patients with poly-trauma, open fractures, fractures occurring in diseased bone andthose with missed diagnosis for longer than one week were excluded.Data analysis was carried out using the SPSS software version 17.0. Cases were stratified basedon the parts of the femur that are fractured. Cost analysis was carried out using parametrictechniques based on the Student’s t-test and the generalized longitudinal model.Operative delay to fracture stabilization was associated with increased complications, ICU stay,LOS and increased costs of hospitalization as well as out-patient follow-up treatment. There wasa progressive increase in the tendency to these adverse events which was quite significant after thefirst 48 hours of delay. Injury severity scores (ISS) >15 was another factor which predisposed toprolonged ICU stay, LOS and increased cost of treatment. Femur fractures, irrespective of whichpart of the bone was involved, were commoner in over-65 year-olds and women.This study identified the major cost drivers of operative treatment of femur fractures namely,ISS>15, operative delay ≥48 hours, occurrence of complications, and re-operations. Efforts atminimizing operative delay in femur fractures will help not only to mitigate patient suffering, butalso bring about a reduction in the cost of treatment and follow-up
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 | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».