COST OF FALLS INJURY HOSPITALISATIONS IN OLDER ADULTS: FOCUS ON AGE, SEX, AND AREA OF RESIDENCE
Notice bibliographique
Résumé
Background Falls are common among older adults around the world. Several complex risk factors contribute to falls and many promising and proven falls prevention strategies have been reported in the literature. While the cost of falls have been examined, the variation in costs based on age, sex and area of residence such as rural and urban settings have not been examined. Purpose This study was carried out to assess the direct cost of falls injury hospitalisations in older residents aged 65+ years (seniors) and their implications on health care delivery in the growing seniors population in the Canadian province of Saskatchewan. Methods We performed descriptive and statistical analyses on hospital records of seniors hospitalised with fall injury diagnoses from 1995/96 to 2004/05. We derived the direct cost using length of stay (LOS), resource intensity weight (RIW) and average cost of acute care (COST) for each year. The costs were calculated for different age groups (65–74, 75–84, 85+), sex (male, female), and area of residence at time of injury (rural, urban, and north). Results A total of 30 757 fall injury hospitalisations were recorded over a 10-year period. In addition, the fall injury hospitalisation rate varied with higher rates with advancing age, female gender, and rural location of residence. The average (±SE) 10-year RIW, LOS and COST were 2.13 (±0.02), 13.66 (±0.23) days and $6088 (±61.88), respectively. We observed statistically significant differences (p<0.01) in the RIW and COST of hospitalisations across the 10 years, both sexes, age groups and 13 health regions in the province. All of these factors except sex were significant (p<0.01) for the LOS. Males had slightly higher LOS and COST than females, while both LOS and COST increased with advancing age. Significant decline in LOS and COST occurred over the 10-year period. Both LOS and COST in the cases who died in hospital were more than double the values in those who survived. The COST was higher in cosmopolitan urban and Northern areas of the province as compared to other urban and rural areas. Significance and Contribution to the Field An increasing trend in burden of direct health care costs associated with falls injury hospitalisation among Saskatchewan senior residents is evident. This would have implications in planning and budgeting for future health care needs of the growing population of seniors in the province and particularly in the heavily impacted regions and areas.
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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 | 0,006 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».