Dany Gagnon ^A1, Sylvie Nadeau ^A2, Vincent Tam ^A1
A1 Hôpital de Réadaptation Lindsay
^A2 Centre de Recherche Interdisciplinaire en Réadaptation du Grand Montréal-Site Institut de Réadaptation de Montréal Montreal Quebec Canada
DOI: 10.1080/16501970410015055

Objectives: To determine efficiency and efficacy of publicly-funded inpatient stroke rehabilitation based on a Case-Mix Group Classification Model, and to analyse the usefulness of this decisional aid in the refinement of rehabilitation services delivery needed to optimize accessibility to inpatient rehabilitation services for individuals with stroke in a publicly-funded healthcare system. Design: Individuals with stroke (n =422) who received inpatient rehabilitation through the Montreal Rehabilitation Hospital Network were included in this retrospective study. Clinical (total, motor and cognitive-Functional Independence Measure (FIM) scores, percentage of discharge to community) and administrative outcomes (onset to rehabilitation interval, length of inpatient rehabilitation stay, length of stay efficiency) were measured. Results: Across Case-Mix Groups, mean onset to rehabilitation days varied between 16. 2 (5. 7) and 32. 0 (19. 4) days whereas the mean length of stay fluctuated between 27. 5 (13) and 77. 0 (27) days. Best total (41. 6 (21. 4)) and motor-FIM (38. 9 (19. 0)) gains were observed in most severely disabled cases (114) whereas the Case-Mix Group 103 presented the best cognitive-FIM gain (5. 8 (4. 0)). Optimal mean total, motor and cognitive-FIM efficiency rates, found in moderately disabled stroke patients, were 0. 668 (0. 434), 0. 634 (0. 377) and 0. 15 (0. 136), respectively. Majority of patients returned home following rehabilitation in all Case-Mix Groups (63. 6% to 96. 4%) except for groups 112 and 108. Conclusion: Moderate to good length of stay efficiencies are observed among all Case-Mix Group following stroke rehabilitation. In fact, individuals with moderate disability present the best rate of recovery. Variations in length of stay efficiency suggest that the use of a Case-Mix Group Classification Model in stroke rehabilitation could represent an innovative approach, especially for program evaluation in publicly-funded and universal-access rehabilitation hospitals.