| Literature DB >> 33850826 |
Anahita Behzadi1, Mohsen Shahba2, Sina Etemadi3, Behzad Mohamadi4, Mehran Karvar5, Yahya Jafari6, Marjan Hedayatipour3.
Abstract
INTRODUCTION: Epidemiological analysis of traffic accidents can provide information for future plans to lower the cost and burden of road traffic accidents (RTAs). This study was aimed to determine the epidemiological characteristics of patients with RTAs.Entities:
Keywords: Cost analysis; emergency; epidemiological; traffic accidents
Year: 2020 PMID: 33850826 PMCID: PMC8033206 DOI: 10.4103/IJCIIS.IJCIIS_93_19
Source DB: PubMed Journal: Int J Crit Illn Inj Sci ISSN: 2229-5151
Distribution of accidents based on age, injury region, age group, referral month, and final outcome for the patient
| Total | 3277 (100) |
| Age | - |
| Men | 2713 (82.78) |
| Female | 564 (16.66) |
| Region of injury | - |
| Head and neck | 122 (3.72) |
| Face | 140 (4.27) |
| Thorax | 71 (2.16) |
| Abdomen and pelvic | 38 (1.15) |
| Spine | 110 (3.35) |
| Upper limb | 607 (18.52) |
| Lower limb | 1123 (34.26) |
| Other or unspecified | 807 (24.62) |
| Multiple trauma (≥2 of above) | 259 (7.90) |
| Age groups | - |
| <15 | 468 (14.28) |
| 16-30 | 1504 (45.89) |
| 31-45 | 762 (23.25) |
| 45-60 | 332 (10.13) |
| >61 | 211 (6.43) |
| Months | - |
| January | 233 (7.11 |
| February | 176 (5.37) |
| March | 289 (8.81) |
| April | 277 (8.45) |
| May | 303 (9.24) |
| June | 291 (8.88) |
| July | 331 (10.10) |
| August | 359 (10.95) |
| September | 290 (8.84) |
| October | 260 (7.93) |
| November | 226 (6.89) |
| December | 242 (7.38) |
| Output | |
| Patient death | 90 (2.74) |
| Discharged to the doctor’s order | 3102 (94.65) |
| Discharged AMA | 85 (2.59) |
AMA: Against medical advice
Tukey test results for the costs between different age groups
| (I) age | (J) age | Mean difference (I−J) | SE | |
|---|---|---|---|---|
| 1.00 | 2.00 | −15,875,220.584 | 7,274,294.758 | 0.18 |
| 3.00* | −29,283,281.833* | 8,071,168.755 | 0.00 | |
| 4.00* | −37,587,238.916* | 9,861,371.260 | 0.00 | |
| 5.00 | −30,975,146.968 | 11,396,067.613 | 0.05 | |
| 2.00 | 1.00 | 15,875,220.584 | 7,274,294.758 | 0.18 |
| 3.00 | −13,408,061.248 | 6,111,007.733 | 0.18 | |
| 4.00 | −21,712,018.331 | 8,333,504.279 | 0.07 | |
| 5.00 | −15,099,926.383 | 10,103,019.720 | 0.56 | |
| 3.00 | 1.00 | 29,283,281.833* | 8,071,168.755 | 0.00 |
| 2.00 | 13,408,061.248 | 6,111,007.733 | 0.18 | |
| 4.00 | −8,303,957.083 | 9,037,460.617 | 0.89 | |
| 5.00 | −1,691,865.135 | 10,691,090.137 | 1.00 | |
| 4.00 | 1.00 | 37,587,238.916* | 9,861,371.260 | 0.00 |
| 2.00 | 21,712,018.331 | 8,333,504.279 | 0.07 | |
| 3.00 | 8,303,957.083 | 9,037,460.617 | 0.89 | |
| 5.00 | 6,612,091.948 | 12,099,681.251 | 0.98 | |
| 5.00 | 1.00 | 30,975,146.968 | 11,396,067.613 | 0.05 |
| 2.00 | 15,099,926.383 | 10,103,019.720 | 0.56 | |
| 3.00 | 1,691,865.135 | 10,691,090.137 | 1.00 | |
| 4.00 | −6,612,091.948 | 12,099,681.251 | 0.98 |
*According to Tukey test, there is a significant difference between costs in age group one and age group three and four (P<0.05). SE: Standard error
The Tukey test results for the costs of outcomes for each patient
| (I) Patient disposition | (J) The final outcome for the patient | Mean difference (I−J) | SE | |
|---|---|---|---|---|
| Patient death | Discharged to the doctor’s order | 206,207,735.096* | 14,275,639.674 | <0.00 |
| Discharged AMA | 160,802,987.201* | 20,192,709.362 | <0.00 | |
| Discharged to the doctor’s order | Patient death | −206,207,735.096* | 14,275,639.674 | <0.00 |
| Discharged AMA | −45,404,747.895* | 14,678,002.584 | <0.00 | |
| Discharged AMA | Patient death | −160,802,987.201* | 20,192,709.362 | <0.00 |
| Discharged to the doctor’s order | 45,404,747.895* | 14,678,002.584 | <0.00 |
*Tuckey test results showed a significant difference between the groups. SE: Standard error, AMA: Against medical advice
The Bonferroni test results for the costs in the site of injuries
| (I) Site of injury | (J) Site of injury | (I) Site of injury | (J) Site of injury | ||
|---|---|---|---|---|---|
| Head and neck | Face | 0.00 | spine | Head and neck | <0.00 |
| Thorax | 0.00 | Face | <0.08 | ||
| Abdomen and pelvic | 0.00 | Thorax | <1.00 | ||
| Spine | 0.00 | Abdomen and pelvic | <1.00 | ||
| Upper limb | 0.00 | Upper limb | <0.00 | ||
| Lower limb | 0.00 | Lower limb | <0.00 | ||
| Other or unspecified | 0.00 | Other or unspecified | <0.00 | ||
| Multiple trauma (≥2 of above) | 0.00 | Multiple trauma (≥2 of above) | <0.00 | ||
| Face | Head and neck | 0.00 | Upper limb | Head and neck | <0.00 |
| Thorax | 0.00 | Face | <0.08 | ||
| Abdomen and pelvic | 1.00 | Thorax | <0.00 | ||
| Spine | 0.08 | Abdomen and pelvic | <0.01 | ||
| Upper limb | 0.08 | Spine | <0.00 | ||
| Lower limb | 1.00 | Lower limb | <0.20 | ||
| Other or unspecified | 1.00 | Other or unspecified | <1.00 | ||
| Multiple trauma (≥2 of above) | 0.00 | Multiple trauma (≥2 of above) | <0.00 | ||
| Thorax | Head and neck | 0.00 | Lower limb | Head and neck | <0.00 |
| Face | 0.00 | Face | <1.00 | ||
| Abdomen and pelvic | 1.00 | Thorax | <0.00 | ||
| Spine | 1.00 | Abdomen and pelvic | <0.17 | ||
| Upper limb | 0.00 | Spine | <0.00 | ||
| Lower limb | 0.00 | Upper limb | <0.20 | ||
| Other or unspecified | 0.00 | Other or unspecified | <1.00 | ||
| Multiple trauma (≥2 of above) | 1.00 | Multiple trauma (≥2 of above) | <0.00 | ||
| Abdomen and Pelvic | Head and neck | 0.00 | Other or unspecified | Head and neck | <0.00 |
| Face | 1.00 | Face | <1.00 | ||
| Thorax | 1.00 | Thorax | <0.00 | ||
| Spine | 1.00 | Abdomen and pelvic | <0.09 | ||
| Upper limb | 0.01 | Spine | <0.00 | ||
| Lower limb | 0.17 | Upper limb | <1.00 | ||
| Other or unspecified | 0.09 | Lower limb | <1.00 | ||
| Multiple trauma (≥2 of above) | 0.03 | Multiple trauma (≥2 of above) | <0.00 | ||
| Multiple trauma (≥2 of above) | Head and neck | 0.00 | |||
| Face | 0.00 | ||||
| Thorax | 1.00 | ||||
| Abdomen and pelvic | 0.03 | ||||
| Spine | 0.00 | ||||
| Upper limb | 0.00 | ||||
| Lower limb | 0.00 | ||||
| Other or unspecified | 0.00 |
The comparative statistics of on traffic accident casualties in high, middle and low income countries based on the number of deaths per 100,000 populations
| General information | Road traffic deaths | ||||
|---|---|---|---|---|---|
| Country/area | Population numbers for 2016 | GNI per capita for 2016 in US dollars | Income level | Reported number of road traffic deaths | Estimated road traffic death rate per 100,000 population |
| Afghanistan | 34,656,032 | 580 | Low | 1565 | 15.1 |
| Iraq | 37,202,572 | 5430 | Middle | 4134 | 20.7 |
| Iran (Islamic republic of) | 80,277,424 | 6530 | Middle | 15,932 | 20.5 |
| United States of America | 322,179,616 | 56,180 | High | 35,092 | 12.4 |
| Canada | 36,289,824 | 43,660 | High | 1858 | 5.8 |
| Brazil | 207,652,864 | 8840 | Middle | 38,651 | 19.7 |
| Japan | 127,748,512 | 38,000 | High | 4682 | 4.1 |
| Australia | 24,125,848 | 54,420 | High | 1296 | 5.6 |
| Singapore | 5,622,455 | 51,880 | High | 141 | 2.8 |
| Morocco | 35,276,784 | 2850 | Middle | 3785 | 19.6 |
| Nigeria | 185,989,632 | 2450 | Middle | 5053 | 21.4 |
| Ghana | 28,206,728 | 1380 | Middle | 1802 | 24.9 |
| Germany | 81,914,672 | 43,660 | High | 3206 | 4.1 |
| Netherland | 16,987,330 | 46,310 | High | 621 | 3.8 |
| France | 64,720,688 | 38,950 | High | 3477 | 5.5 |
| Philippines | 103,320,224 | 3580 | Middle | 10,012 | 12.3 |
| Thailand | 68,863,512 | 5640 | Middle | 21,745 | 32.7 |
| India | 1,324,171,392 | 1680 | Middle | 150,785 | 22.6 |
GNI: Gross national income
Figure 1The rates of road traffic death per 100,000 population by the WHO regions