| Literature DB >> 29566689 |
Jane Wu1, Steven G Faux2, Christopher J Poulos3, Ian Harris4.
Abstract
BACKGROUND: Population-based patterns of care studies are important for trauma care but conducting them is expensive and resource-intensive. Linkage of routinely collected administrative health data may provide an efficient alternative. The aims of this study are to describe the rehabilitation pathway for trauma survivors and to analyse the brain injury rehabilitation outcomes in the two care settings (specialist brain injury and non-specialist general rehabilitation units).Entities:
Keywords: Data linkage; Rehabilitation; Road trauma; Traumatic brain injury
Mesh:
Year: 2018 PMID: 29566689 PMCID: PMC5865364 DOI: 10.1186/s12913-018-3019-8
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Study cohort extracted from a linked dataset
Impairments requiring inpatient rehabilitation
| AROC impairment code | Description | Number |
|---|---|---|
| 2.21 | Open traumatic brain injury | 22 (8%) |
| 2.22 | Closed traumatic brain injury | 179 (67%) |
| 14.1 | Major multiple trauma (brain + spinal cord injury) | 10 (4%) |
| 14.2 | Major multiple trauma (brain + multiple fracture/amputation) | 57 (21%) |
Cumulative percentage of patients being admitted to inpatient rehabilitation after acute trauma
| Weeks to admission | General rehabilitation units ( | Specialist brain injury units ( | Total ( |
|---|---|---|---|
| < 1 week | 4% | 0 | 2% |
| 1 | 6% | 0 | 2% |
| 2 | 24% | 3% | 11% |
| 3 | 32% | 15% | 21% |
| 4 | 49% | 25% | 34% |
| 8 | 82% | 80% | 80% |
| > 8 | 100% | 100% | 100% |
Characteristics and outcomes between specialist brain injury units and non-specialist general rehabilitation units
| General rehabilitation units ( | Specialist brain injury units ( | Total ( | ||
|---|---|---|---|---|
| Age (years) – mean (SD) | 50 (± 29) | 37 (± 16) | 42 (± 19) | < 0.001 |
| Age group (< 65 years) | 68 (67%) | 158 (95%) | 226 (84%) | < 0.001 |
| Male | 65 (64%) | 124 (75%) | 189 (71%) | 0.06 |
| Injury severity score | ||||
| - Mean (SD) | 29 (± 12) | 33 (± 11) | 32 (± 11) | 0.001 |
| - Median (IQR) | 25 (21–36) | 33 (26–38) | 29 (23–38) | |
| Intensive care admission | 75 (74%) | 154 (93%) | 229 (85%) | < 0.001 |
| Acute length of stay (days) | ||||
| - Mean (SD) | 36 (± 25) | 44 (± 23) | 41 (± 24) | |
| - Median (IQR) | 29 (16–49) | 40 (28–54) | 36 (23–53) | 0.001 |
| Rehabilitation length of stay (days) | ||||
| - Mean (SD) | 41 (± 58) | 88 (± 104) | 70 (± 92) | |
| - Median (IQR) | 24 (13–43) | 47 (29–104) | 39 (18–80) | < 0.001 |
| Rehabilitation interruption | 5 (5%) | 20 (12%) | 25 (9%) | 0.05 |
| Admission total FIM – mean (SD) | 75 (± 29) | 59 (± 36) | 65 (± 34) | < 0.001 |
| Admission motor FIM – mean (SD) | 52 (± 22) | 43 (± 28) | 46 (± 26) | 0.002 |
| Admission cognitive FIM – mean (SD) | 22 (± 10) | 16 ± (9) | 19 (± 10) | 0.003 |
| Discharge total FIM | ||||
| - Mean (SD) | 105 (± 20) | 102 (± 27) | 103 (± 24) | |
| - Median (IQR) | 112 (101–117) | 112 (99–119) | 112 (100–118) | 0.49 |
| Discharge motor FIM | ||||
| - Mean (SD) | 77 (± 16) | 77 (± 22) | 77 (± 20) | |
| - Median (IQR) | 82 (74–86) | 87 (78–90) | 84 (76–90) | 0.001 |
| Discharge cognitive FIM | ||||
| - Mean (SD) | 28 (± 7) | 25 (± 7) | 26 (± 7) | |
| - Median (IQR) | 29 (25–33) | 26 (21–30) | 27 (22–31) | 0.001 |
| FIM change – mean (SD) | 30 (23) | 43 (32) | 38 (29) | < 0.001 |
| FIM efficiency | ||||
| - Mean (SD) | 1.2 (± 1.1) | 0.8 (± 0.7) | 1.0 (± 0.9) | |
| - Median (IQR) | 0.9 (0.6–1.5) | 0.7 (0.3–1.2) | 0.8 (0.4–1.3) | 0.001 |
| Known discharge destination ( | 0.04 | |||
| - Private residence | 79 (90%) | 111 (74%) | 190 (80%) | |
| - Hostel | 1 (1%) | 0 | 1 (0.5%) | |
| - Nursing home | 1 (1%) | 0 | 1 (0.5%) | |
| - Group home | 0 | 8 (5%) | 8 (3%) | |
| - Transitional living unit | 7 (8%) | 31 (21%) | 38 (16%) | |
| Known discharge destination ( | 0.009 | |||
| - Private residence (home) | 79 (90%) | 111 (74%) | 190 (80%) | |
| - Not home | 9 (10%) | 39 (26%) | 48 (20%) | |