The rehabilitation patterns of patients overcoming a severe brain injury are unpredictable and inconstant.
According to Zar (2010), linear models were fit to all of the data profiles to describe broad-scale spatio-temporal trends and identify general forest structure rehabilitation patterns.
Rehabilitation patterns vary greatly across Tuscany with considerable cost implications.
Similar differences in rehabilitation patterns appear in other European regions and can be very hard to modify.
Multicenter and long-term follow-up studies are needed to analyze further the subjective and objective postoperative rehabilitation patterns of patients with CSM.
Among hip fractures, our data did not show any significant association between the average rehabilitation patterns found in LHAs and 6-month mortality.
We investigated the association between rehabilitation patterns and 6-month mortality through the definition of an ecological variable classifying LHAs by the average use of rehabilitation services for their residents.
The study design involves computerized linkage of administrative data, and an exploratory analysis of the association between rehabilitation patterns and 6-month mortality, adjusting for clinical, demographic, and acute-related care characteristics using multivariate Cox regression.
Our study, targeting two crucial conditions for elderly patients e.g. stroke and hip fracture, found a high variability of rehabilitation patterns across Tuscany, albeit coherent between the two pathologies, associated with remarkable differences in average expenditure.
