| Literature DB >> 33747608 |
Carol Lin1, Sonja Rosen1, Kathleen Breda1, Naomi Tashman1, Jeanne T Black1, Jae Lee1, Aaron Chiang1, Bradley Rosen1.
Abstract
INTRODUCTION: Geriatric-orthopaedic co-management models can improve patient outcomes. However, prior reports have been at large academic centers with "closed" systems and an inpatient geriatric service. Here we describe a Geriatric Fracture Program (GFP) in a mixed practice "pluralistic" environment that includes employed academic faculty, private practice physicians, and multiple private hospitalist groups. We hypothesized GFP enrollment would reduce length of stay (LOS), time to surgery (TTS), and total hospital costs compared to non-GFP patients.Entities:
Keywords: fragility fractures; geriatric medicine; geriatric nursing; geriatric trauma; hospitalist
Year: 2021 PMID: 33747608 PMCID: PMC7905728 DOI: 10.1177/2151459320987701
Source DB: PubMed Journal: Geriatr Orthop Surg Rehabil ISSN: 2151-4585
Types of Fractures and Disposition for Operative Fractures.
| Total | GFP | P-value | ||
|---|---|---|---|---|
|
| 1 | 0 | ||
| DISPO | 0.746 | |||
| 1 ARU | 163 (39.8%) | 41 (37.3%) | 122 (40.7%) | |
| 2 HH | 84 (20.5%) | 22 (20.0%) | 62 (20.7%) | |
| 3 SNF | 163 (39.8%) | 47 (42.7%) | 116 (38.7%) | |
| Missing | 11 | 2 | 9 | |
| Body Part 1 | 0.911 | |||
| acetabulum | 5 (1.2%) | 1 (0.9%) | 4 (1.3%) | |
| ankle | 17 (4.0%) | 5 (4.5%) | 12 (3.9%) | |
| bilateral ankles | 1 (0.2%) | 0 (0.0%) | 1 (0.3%) | |
| bilateral humerus | 1 (0.2%) | 0 (0.0%) | 1 (0.3%) | |
| clavicle | 1 (0.2%) | 0 (0.0%) | 1 (0.3%) | |
| distal femur | 9 (2.1%) | 2 (1.8%) | 7 (2.3%) | |
| femur shaft | 4 (1.0%) | 1 (0.9%) | 3 (1.0%) | |
| hand | 1 (0.2%) | 0 (0.0%) | 1 (0.3%) | |
| heel | 1 (0.2%) | 1 (0.9%) | 0 (0.0%) | |
| hip | 276 (65.6%) | 69 (61.6%) | 207 (67.0%) | |
| humerus | 32 (7.6%) | 10 (8.9%) | 22 (7.1%) | |
| olecranon | 9 (2.1%) | 2 (1.8%) | 7 (2.3%) | |
| patella | 8 (1.9%) | 2 (1.8%) | 6 (1.9%) | |
| pelvis | 7 (1.7%) | 2 (1.8%) | 5 (1.6%) | |
| periprosthetic femur fracture | 24 (5.7%) | 9 (8.0%) | 15 (4.9%) | |
| periprosthetic hip fracture | 4 (1.0%) | 1 (0.9%) | 3 (1.0%) | |
| periprosthetic tibia fracture | 1 (0.2%) | 1 (0.9%) | 0 (0.0%) | |
| radius | 1 (0.2%) | 0 (0.0%) | 1 (0.3%) | |
| tibia | 12 (2.9%) | 5 (4.5%) | 7 (2.3%) | |
| tibia plateau | 5 (1.2%) | 1 (0.9%) | 4 (1.3%) | |
| wrist | 2 (0.5%) | 0 (0.0%) | 2 (0.6%) | |
Continuous variables compared using Student’s T-test.
Categorical variables compared using chi-square or Fisher’s exact test.
Types of Fractures and Disposition for Nonoperative Fractures.
| Total | GFP | P-value | ||
|---|---|---|---|---|
|
| 1 | 0 | ||
| DISPO | 0.801 | |||
| 1 ARU | 47 (32.0%) | 11 (28.2%) | 36 (33.3%) | |
| 2 HH | 44 (29.9%) | 13 (33.3%) | 31 (28.7%) | |
| 3 SNF | 56 (38.1%) | 15 (38.5%) | 41 (38.0%) | |
| Missing | 5 | 2 | 3 | |
| Body Part 1 | 0.223 | |||
| AC Joint | 1 (0.7%) | 0 (0.0%) | 1 (0.9%) | |
| acetabulum | 1 (0.7%) | 0 (0.0%) | 1 (0.9%) | |
| ankle | 8 (5.3%) | 3 (7.3%) | 5 (4.5%) | |
| clavicle | 2 (1.3%) | 2 (4.9%) | 0 (0.0%) | |
| distal femur | 4 (2.6%) | 0 (0.0%) | 4 (3.6%) | |
| foot | 2 (1.3%) | 1 (2.4%) | 1 (0.9%) | |
| humerus | 36 (23.7%) | 11 (26.8%) | 25 (22.5%) | |
| olecranon | 3 (2.0%) | 0 (0.0%) | 3 (2.7%) | |
| patella | 3 (2.0%) | 1 (2.4%) | 2 (1.8%) | |
| pelvis | 41 (27.0%) | 11 (26.8%) | 30 (27.0%) | |
| periprosthetic femur fracture | 2 (1.3%) | 0 (0.0%) | 2 (1.8%) | |
| periprosthetic hip fracture | 3 (2.0%) | 2 (4.9%) | 1 (0.9%) | |
| sacrum | 1 (0.7%) | 0 (0.0%) | 1 (0.9%) | |
| scapula | 2 (1.3%) | 0 (0.0%) | 2 (1.8%) | |
| spine | 5 (3.3%) | 2 (4.9%) | 3 (2.7%) | |
| tibia | 4 (2.6%) | 3 (7.3%) | 1 (0.9%) | |
| tibia plateau | 1 (0.7%) | 0 (0.0%) | 1 (0.9%) | |
| toe | 1 (0.7%) | 0 (0.0%) | 1 (0.9%) | |
| wrist | 9 (5.9%) | 3 (7.3%) | 6 (5.4%) | |
| ribs | 5 (3.3%) | 0 (0.0%) | 5 (4.5%) | |