| Literature DB >> 28658365 |
Kelienny de Meneses Sousa1, Wagner Ivan Fonsêca de Oliveira2, Emanuel Augusto Alves3, Zenewton André da Silva Gama4.
Abstract
OBJECTIVE: Evaluate the level of access to physical rehabilitation for survivors of traffic accidents and the associated factors.Entities:
Mesh:
Year: 2017 PMID: 28658365 PMCID: PMC5493366 DOI: 10.1590/S1518-8787.2017051006429
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Sample characterization (n = 155) concerning socio-demographic, accident, functional clinical and assistance variables. Natal, State of Rio Grande do Norte, Brazil, 2014.
| Variable | Frequency | Percentage |
|---|---|---|
| Sociodemographic variables | ||
|
| ||
| Gender | ||
| Male | 128 | 82.6 |
| Female | 27 | 17.4 |
| Age (years) | ||
| 7–14 | 10 | 6.4 |
| 15–29 | 74 | 47.7 |
| 30–65 | 59 | 38.0 |
| 66–80 | 12 | 7.7 |
| Marital status | ||
| Married | 54 | 34.8 |
| Single | 101 | 65.1 |
| Education | ||
| Middle school | 70 | 45.2 |
| High school | 73 | 47.1 |
| Higher education | 12 | 7.7 |
| Occupation | ||
| Student | 23 | 14.8 |
| Retiree | 14 | 9.0 |
| Unemployed | 12 | 7.7 |
| Informal worker | 29 | 18.7 |
| Employed | 77 | 49.7 |
| Income (minimum wage) | ||
| 1–2 | 121 | 78.0 |
| > 2 | 34 | 21.9 |
| Private health care plan | ||
| Yes | 13 | 8.4 |
| No | 142 | 91.6 |
|
| ||
| Traffic accident variables | ||
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| Type of accident | ||
| Fall | 17 | 11.0 |
| Run over | 21 | 13.5 |
| Collision | 117 | 75.4 |
| Type of vehicle | ||
| Motorcycle | 114 | 73.5 |
| Automobile | 11 | 7.1 |
| Non-motorized transport | 30 | 19.3 |
| Type of victim | ||
| Driver | 106 | 68.3 |
| Passenger | 27 | 17.4 |
| Pedestrian | 22 | 14.1 |
|
| ||
| Clinical functional variables | ||
|
| ||
| Lesion diagnosis | ||
| Amputation | ||
| Yes | 7 | 4.5 |
| No | 148 | 95.9 |
| Fracture | ||
| Yes | 129 | 83.2 |
| No | 26 | 16.8 |
| Traumatic brain injury | ||
| Yes | 18 | 11.6 |
| No | 137 | 88.3 |
| Soft tissue injury | ||
| Yes | 15 | 9.3 |
| No | 140 | 90.3 |
| Site of injury | ||
| Upper limbs | 72 | 46.5 |
| Lower limbs | 89 | 57.4 |
| Functional limitation | ||
| Self-care | 131 | 84.5 |
| Ambulation | 109 | 70.3 |
| Mobility | 141 | 91.0 |
| Difficulty of return to work | 101 | 95.2 |
| Perceived need for PR | ||
| Yes | 133 | 85.8 |
| No | 22 | 14.2 |
| Time until return to work (months) | ||
| 0–2 | 21 | 26.9 |
| 3–4 | 20 | 25.6 |
| 6–14 | 37 | 47.4 |
| Loss or inability of employment* | 27 | 25.4 |
|
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| Clinical assistance variables | ||
|
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| Orthopedic surgery | ||
| Yes | 108 | 69.7 |
| No | 46 | 30.3 |
| Immobilization with plaster cast | ||
| Yes | 45 | 29.0 |
| No | 110 | 71.0 |
| Hospital rehabilitation | ||
| Yes | 27 | 17.4 |
| No | 128 | 82.6 |
| Length of stay (days) | ||
| 0–2 | 39 | 25.2 |
| 3–8 | 41 | 26.5 |
| 9–22 | 37 | 23.9 |
| 23–120 | 38 | 24.5 |
| Referral to PR | ||
| Yes | 80 | 51.6 |
| No | 75 | 48.4 |
| Information about PR | ||
| Yes | 86 | 55.5 |
| No | 69 | 44.5 |
PR: physical rehabilitation; TA: traffic accidents
* In the analysis of work-related variables we included only individuals who were working at the time of the TA (n = 106), no t equivalent to the total respondents (n = 155).
Estimativa do acesso e tempo de acesso à reabilitação física para vítimas de acidentes de trânsito. Natal, RN, 2014.
| Variable | Average (n) | Frequency (n) | Percentage | 95CI% |
|---|---|---|---|---|
| Access (yes) | ||||
| General | - | 80 (155) | 51.6 | 43.7–59.4 |
| Public | - | 51 (155) | 32.9 | 25.5–40.2 |
| Private | - | 29 (155) | 18.7 | 12.6–24.7 |
|
| ||||
| Time of access (in days) | ||||
| General | 66.6 (80) | - | - | 51.0–82.3 |
| Public | 74.0 (51) | - | - | 62.1–85.8 |
| Private | 56.4 (29) | - | - | 49.7–63.0 |
Numbers of cases presented in parentheses.
Estimate of general and public access to PR for each variable of the bivariate analysis. Natal, State of Rio Grande do Norte, Brazil, 2014. (n = 155)
| Variable | General access (%) | OR | 95CI% | p | Public access (%) | OR | 95CI% | p |
|---|---|---|---|---|---|---|---|---|
| Income (minimum wage)a | ||||||||
| > 2 | 72.7 | 3.2 | 1.37–7.45 | 0.005 | 42.4 | 1.7 | 0.78–3.84 | 0.168 |
| 1-2 | 45.5 | 29.8 | ||||||
| Education | ||||||||
| Higher educationb | 75.0 | - | - | 0.177 | 33.3 | - | - | 0.939 |
| High school | 53.4 | 0.28 | 0.07–1.12 | 0.073 | 31.5 | 1.04 | 0.28–3.82 | 0.949 |
| Middle school | 45.7 | 0.38 | 0.10–1.52 | 0.174 | 34.3 | 0.92 | 0.25–3.36 | 0.900 |
| Marital status | ||||||||
| Married | 58.5 | 0.65 | 0.33–1.28 | 0.217 | 41.5 | 0.54 | 0.27–1.10 | 0.090 |
| Single | 48.0 | 28.0 | ||||||
| Occupationa | ||||||||
| Employedb | 63.6 | - | - | 0.009 | 39.0 | - | - | 0.076 |
| Retiree | 64.3 | 0.44 | 0.17–1.13 | 0.089 | 50.0 | 0.68 | 0.25–1.86 | 0.460 |
| Unemployed | 33.3 | 1.02 | 0.31–3.37 | 0.963 | 33.3 | 1.56 | 0.45–4.91 | 0.442 |
| Informal worker | 27.6 | 0.28 | 0.08–1.03 | 0.056 | 10.3 | 0.78 | 0.21–2.83 | 0.709 |
| Student | 43.5 | 0.21 | 0.08–0.55 | 0.001 | 30.4 | 0.18 | 0.05–0.65 | 0.009 |
| Private health plana | ||||||||
| Yes | 61.5 | 1.56 | 0.48–4.98 | 0.454 | 7.70 | 0.17 | 0.02–1.21 | 0.043 |
| No | 50.7 | 35.2 | ||||||
| Type of victim | ||||||||
| Pedestrianb | 38.1 | - | - | 0.198 | 14.3 | - | - | 0.187 |
| Passenger | 42.3 | 2.07 | 0.79–5.41 | 0.136 | 34.6 | 3.30 | 0.91 – 11.9 | 0.068 |
| Driver | 56.1 | 1.19 | 0.36–3.86 | 0.770 | 35.5 | 3.17 | 0.73 – 13.7 | 0.122 |
| Type of accidenta | ||||||||
| Collisionb | 55.2 | - | - | 0.227 | 37.9 | - | - | 0.051 |
| Run over | 42.9 | 0.44 | 0.15–1.28 | 0.132 | 14.3 | 0.35 | 0.09–0.28 | 0.115 |
| Fall | 35.3 | 0.61 | 0.23–1.56 | 0.301 | 17.6 | 0.27 | 0.07–0.98 | 0.046 |
| Motorcycle | ||||||||
| Yes | 58.3 | 1.44 | 0.69–3.00 | 0.329 | 35.9 | 1.80 | 0.78–4.17 | 0.164 |
| No | 44.7 | 23.7 | ||||||
| Lower limbs injury | ||||||||
| Yes | 56.2 | 1.53 | 0.81–2.91 | 0.186 | 33.7 | 1.09 | 0.55–2.14 | 0.804 |
| No | 45.5 | 31.8 | ||||||
| Self-care limitations | ||||||||
| Yes | 55.0 | 2.44 | 0.97–6.09 | 0.051 | 33.6 | 1.22 | 0.47–3.18 | 0.672 |
| No | 33.3 | 29.2 | ||||||
| Perceived need for PRa | ||||||||
| Yes | 58.6 | 14.2 | 3.18–63.1 | 0.000 | 37.6 | 12.6 | 1.65–96.9 | 0.002 |
| No | 9.1 | 4.50 | ||||||
| Orthopedic amputationa | ||||||||
| Yes | 85.7 | 6.0 | 0.70–51.1 | 0.065 | 71.4 | 5.54 | 1.03–29.6 | 0.026 |
| No | 50.0 | 31.1 | ||||||
| Soft tissue injurya | ||||||||
| Yes | 40.0 | 0.59 | 0.20–1.76 | 0.489 | 6.70 | 0.12 | 0.01–1.00 | 0.023 |
| No | 52.9 | 37.7 | ||||||
| Written referrala | ||||||||
| Yes | 82.5 | 20.5 | 9.06–46.5 | 0.000 | 57.5 | 18.9 | 6.9–51.2 | 0.000 |
| No | 18.7 | 6.7 | ||||||
| Orthopedic surgerya | ||||||||
| Yes | 63.9 | 5.79 | 2.65–12.6 | 0.000 | 39.8 | 3.22 | 1.37–7.56 | 0.006 |
| No | 23.4 | 17.0 | ||||||
| Hospital rehabilitation | ||||||||
| Yes | 63.0 | 1.75 | 0.74–4.12 | 0.194 | 44.4 | 1.82 | 0.78–4.26 | 0.160 |
| No | 49.2 | 30.5 | ||||||
| Immobilization with plaster casta | ||||||||
| Yes | 58.2 | 0.39 | 0.19–0.81 | 0.011 | 38.2 | 0.41 | 0.18–0.95 | 0.029 |
| No | 35.6 | 20.0 | ||||||
| Information about PRa | ||||||||
| Yes | 74.4 | 9.63 | 4.6–20.20 | 0.000 | 48.8 | 6.34 | 2.8–14.42 | 0.000 |
| No | 23.2 | 13.0 | ||||||
| Length of stay (days)a | ||||||||
| 0–2b | 23.1 | - | - | 0.001 | 10.3 | - | - | 0.014 |
| 3–8 | 65.9 | 6.42 | 2.40–17.2 | 0.000 | 39.0 | 5.60 | 1.67–18.7 | 0.005 |
| 9–22 | 56.8 | 4.37 | 1.62–11.7 | 0.003 | 37.8 | 5.32 | 1.56–18.2 | 0.008 |
| 23–120 | 60.5 | 5.11 | 1.90–13.7 | 0.001 | 44.7 | 7.08 | 2.10–23.9 | 0.002 |
PR: physical rehabilitation
a Variable with p < 0.05.
b Category-reference.
Logistic regression models of factors associated with general and public access to physical rehabilitation. Natal, State of Rio Grande do Norte, Brazil, 2014. (n = 155)
| Variable | Categories | n (% access) | Adj OR | 95CI% | p |
|---|---|---|---|---|---|
| Model 1 – General access to physical rehabilitationa | |||||
|
| |||||
| Occupation | Employedc | 49 (63.6) | 0.018 | ||
| Unemployed | 4 (33.3) | 0.15 | 0.02–0.96 | 0.046 | |
| Informal worker | 8 (27.6) | 0.11 | 0.03–0.43 | 0.001 | |
| Family income (minimum wage) | > 2 | 24 (72.7) | 3.72 | 1.07–13.00 | 0.039 |
| 1-2 | 55(45.5) | ||||
| Perceived need for PR | Yes | 78 (58.6) | 10.00 | 1,30–76.53 | 0.027 |
| No | 2 (9.1) | ||||
| Written referral | Yes | 66 (82.5) | 27.50 | 9.52–79.42 | < 0.001 |
| No | 14 (18.7) | ||||
|
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| Model 2 – General access to physical rehabilitation in the public health systemb | |||||
|
| |||||
| Private health care plan | Yes | 1 (7.7) | 0.07 | 0.008–0.59 | 0.014 |
| No | 50 (35.2) | ||||
| Written referral | Yes | 46 (57.5) | 23.00 | 8.22–68.24 | < 0.001 |
| No | 5 (6.7) | ||||
PR: physical rehabilitation
a Hosmer–Lemeshow test: p = 0.98; Nagelkerke’s R squared: p = 0.621.
b Hosmer–Lemeshow test: p = 0.989; Nagelkerke’s R squared: p = 0.451.
c Category-reference.
Numbers of cases presented in parentheses.
FigureAnalysis model of access to physical rehabilitation determinants. Natal, State of Rio Grande do Norte, Brazil, 2014.