• <samp id="ossg8"></samp>
    <tbody id="ossg8"><nobr id="ossg8"></nobr></tbody>
    <menuitem id="ossg8"><strong id="ossg8"></strong></menuitem>
  • <samp id="ossg8"></samp>
    <menuitem id="ossg8"><strong id="ossg8"></strong></menuitem>
  • <menuitem id="ossg8"><ins id="ossg8"></ins></menuitem>

  • <tbody id="ossg8"><nobr id="ossg8"></nobr></tbody>
    <menuitem id="ossg8"></menuitem>
        Skip directly to search Skip directly to A to Z list Skip directly to site content
        CDC Home

        Vital Signs: Health Burden and Medical Costs of Nonfatal Injuries to Motor Vehicle Occupants — United States, 2012

        On October 7, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cy118119.com/mmwr).

        Gwen Bergen, PhD1, Cora Peterson, PhD2, David Ederer, MPH1,3, Curtis Florence, PhD2, Tadesse Haileyesus, MS2, Marcie-jo Kresnow, MS2, Likang Xu, MD2 (Author affiliations at end of text)

        Abstract

        Background: Motor vehicle crashes are a leading cause of death and injury in the United States. The purpose of this study was to describe the current health burden and medical and work loss costs of nonfatal crash injuries among vehicle occupants in the United States.

        Methods: CDC analyzed data on emergency department (ED) visits resulting from nonfatal crash injuries among vehicle occupants in 2012 using the National Electronic Injury Surveillance System – All Injury Program (NEISS-AIP) and the Healthcare Cost and Utilization Project National Inpatient Sample (HCUP-NIS). The number and rate of all ED visits for the treatment of crash injuries that resulted in the patient being released and the number and rate of hospitalizations for the treatment of crash injuries were estimated, as were the associated number of hospital days and lifetime medical and work loss costs.

        Results: In 2012, an estimated 2,519,471 ED visits resulted from nonfatal crash injuries, with an estimated lifetime medical cost of $18.4 billion (2012 U.S. dollars). Approximately 7.5% of these visits resulted in hospitalizations that required an estimated 1,057,465 hospital days in 2012.

        Conclusions: Nonfatal crash injuries occur frequently and result in substantial costs to individuals, employers, and society. For each motor vehicle crash death in 2012, eight persons were hospitalized, and 100 were treated and released from the ED.

        Implications for Public Health: Public health practices and laws, such as primary seat belt laws, child passenger restraint laws, ignition interlocks to prevent alcohol impaired driving, sobriety checkpoints, and graduated driver licensing systems have demonstrated effectiveness for reducing motor vehicle crashes and injuries. They might also substantially reduce associated ED visits, hospitalizations, and medical costs.

        Introduction

        Motor vehicle crashes are a leading cause of injury and death. Previous research has shown that motor vehicle crashes result in substantial mortality, with 22,912 motor vehicle occupants killed in 2012 in the United States (1), and an estimated 265,000 years of potential life lost in 2011 (CDC's Web-Based Injury Statistics Query and Reporting System [WISQARS], unpublished data, 2014). The estimated medical cost of such fatalities was $226 million (2). Because the burden of nonfatal injuries caused by motor vehicle crashes has been less well-documented, this report estimates the U.S. health burden and medical and work loss costs of nonfatal motor vehicle crash injuries; the most recent available data on emergency department (ED) visits and hospitalizations were examined.

        Methods

        Data from the 2012 National Electronic Injury Surveillance System – All Injury Program (NEISS-AIP), which is operated by the U.S. Consumer Product Safety Commission in collaboration with CDC, and data from the 2012 Healthcare Cost and Utilization Project National Inpatient Sample (HCUP-NIS) of the U.S. Agency for Healthcare Research and Quality were analyzed. NEISS-AIP is a nationally representative stratified probability sample of 63 U.S. hospitals (3). Detailed data on initial ED visits per injury per person are abstracted from medical records for all nonfatal injuries and poisonings. Patients who made more than one ED visit because of a crash injury in 2012 were counted separately for each visit. NEISS-AIP data are publicly available through CDC's WISQARS (2). HCUP-NIS is based on a 20% stratified sample of inpatient hospital discharges at U.S. community hospitals. In 2012, 44 states participated in HCUP-NIS, and resulting data were weighted to provide national estimates (4). Data on work-related crash injuries were obtained from the NEISS-Work occupational supplement, which uses the same sample as NEISS-AIP. In all data sources, nonfatal occupant (driver or passenger) injuries from unintentional motor vehicle traffic crashes (hereafter called crash injuries) were defined consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification external cause-of-injury codes E810–E819 with suffixes ".0" and ".1" (indicating injuries specific to motor vehicle occupants). Nature of injury categories (e.g., sprains/strains and fractures) were derived from the NEISS-AIP principal diagnosis codes. Rates of ED visits were calculated for all crash injuries using population estimates from the U.S. Bureau of the Census (http://www.census.gov/population/projections/data/national/2012.html), and for work-related crash injuries using estimates of full-time-equivalent (FTE) employees from the U.S. Bureau of Labor Statistics' Current Population Survey (http://www.census.gov/cps/methodology).

        Estimated counts, rates per 100,000 population, and 95% confidence intervals (CIs) for total, treated and released, and transferred or hospitalized (hereafter referred to as hospitalized) ED patients and the proportion of hospitalized ED patients were stratified by sex and age group. The age groups, selected to coincide with distinct crash risk and opportunities for intervention, were: 0–14 years, 15–29 years (further divided into 15–17 years, 18–20 years, 21–24 years, and 25–29 years), 30–39 years, 40–49 years, 50–59 years, 60–69 years, 70–79 years, and ≥80 years. Crude injury rates were presented for each age group, whereas overall and sex-specific injury rates were age-adjusted to the standard year 2000 population (2). For work-related crash injuries, the age group of 20–69 years was used to coincide with the ages of those most likely to drive for work. Differences in estimates were considered statistically significant (p≤0.05) if their CIs did not overlap. The proportion of ED visits by nature of injury were calculated using 2010 data (the most recent data available ). The annual estimated total number of hospital days was calculated by multiplying the total number of ED visits resulting in hospitalization from NEISS-AIP by the average length of stay from HCUP-NIS .

        Methods for estimating lifetime medical and loss of work costs associated with crash injuries are described in detail elsewhere (5). The medical estimates included the cost of initial ED visits and hospitalizations for crash injuries, attributable lifetime medical costs (e.g., follow-up ED visits and hospitalizations, ambulance transportation, ambulatory care, prescription drugs, home health care, vision aids, dental visits, and medical devices), and nursing home and insurance claims administration costs. The loss of work estimates included lost expected employment earnings, lost fringe benefits, and lost value of household work. Costs beyond the first year after the crash injury were discounted at the recommended 3% (6). Medical costs were estimated from 2010 U.S. dollars (USD) data and inflated to 2012 USD using the Price Indexes for Personal Consumption Expenditures by Function from the U.S. Bureau of Economic Analysis (5). Work loss estimates are presented as 2012 USD based on the Employment Cost Index, Total Compensation, Civilian from the U.S. Bureau of Labor Statistics for productivity loss (5). Total lifetime medical costs were calculated by multiplying the number of treated and released ED patients or hospitalized patients by the corresponding average estimated lifetime medical cost for both sexes and each age group and summing the results.

        Results

        During 2012, an estimated 2,519,471 ED visits (CI = 2,041,225–2,997,717) for crash injuries occurred, corresponding to an estimated rate of 806 visits per 100,000 population (Table 1). Of these visits, 1%–2% were identified as work-related, with a rate of 25 visits per 100,000 FTE employees. Age-specific rates by disposition did not vary significantly by sex. Total visit rates varied significantly by age; children aged 0–14 years had the lowest rate (281 visits per 100,000 population [CI = 218–344]), teens and young adults aged 15–29 years the highest rate (1,448 visits per 100,000 population [CI = 1,165–1,742]), and adults aged 30–39 years the second highest rate (1,075 visits per 100,000 population [CI = 883–1,267]) (Table 1). Rates for work-related crashes did not vary significantly by age group, ranging from 23 to 29 visits per 100,000 FTE employees aged 20–69 years.

        Approximately 7.5% (N = 188,833 [CI = 110,377–267,288]) of persons visiting EDs because of crash injuries were hospitalized. A similar proportion of persons with work-related crash injuries (8%) were hospitalized. Adults aged ≥80 years had a significantly higher hospitalization rate (33%) than other age groups except for adults aged 70–79 years (17%) (Figure 1). The average length of stay for hospitalization among all ages was 5.6 days for a total of 1,057,465 hospital days. Sprains/ strains accounted for 55% of treated and released ED visits (Figure 2), although such injuries were the least likely to result in hospitalization, with 99.6% of patients with sprains/strains treated and released. Fractures accounted for just 4% of treated and released ED visits but resulted in hospitalization in 45% of cases.

        The lifetime medical cost of crash injuries was estimated to be $18.4 billion: $7.7 billion for treated and released patients and $10.7 billion for hospitalized patients (Table 2). The average lifetime medical cost per hospitalized patient was $56,674 (Table 2). The average lifetime medical cost per treated and released patient was $3,362 (Table 2). The lifetime cost of work loss because of crash injuries in 2012 was estimated to be $32.9 billion: $9.4 billion for treated and released patients, and $23.5 billion for hospitalized patients. Crash injuries declined in the past decade. Compared with 2002, an estimated 397,761 fewer ED visits and 5,771 fewer hospitalizations occurred in 2012. This reduction was associated with an averted $1.7 billion lifetime medical cost and $2.3 billion work loss costs.

        Conclusions and Comment

        The health burden and medical costs resulting from nonfatal crash injuries in the United States are substantial. In 2012, an estimated 2.5 million ED visits occurred because of such injuries, of which approximately 188,000 were serious enough to require hospitalization. This is equivalent to 6,902 ED visits and 517 hospitalizations every day. With U.S. households averaging 5.7 vehicle trips per day, the risk for these injuries is widespread (7).

        Motor vehicle crashes result in substantial mortality and years of potential life lost. This study shows that the nonfatal injury burden is also high. For each motor vehicle occupant killed in a crash in 2012, eight were hospitalized, and 100 were treated and released from the ED. The estimated lifetime medical cost of nonfatal crash injuries is similar to other serious, but perhaps more well-known, public health problems. For example, the estimated lifetime medical cost of crash injuries is approximately 50% higher than the estimated $12.6 billion cost for human immunodeficiency virus (HIV) in the United States (8). On average, each crash-related ED visit costs $3,362, and each hospitalization costs $56,674. These nonfatal crash injury costs can create both an immediate and lifelong burden for individuals and their families, as well as employers, and public and private health care payers. Although these are lifetime medical costs, the majority of medical costs (approximately 75%–90%) are estimated to occur in the first 18 months after the crash (5). In addition to the burden of medical costs, crash injuries cause a substantial lost lifetime productivity valued at $32.9 billion.

        Teens and young adults aged 15–29 years accounted for a disproportionate share of the burden, comprising 21% of the population but accounting for 38% of both the treated and released visits and costs in this analysis. Other studies have shown that this age group has a higher prevalence of risk factors for crash injuries. In 2012, teens and young adults aged 16–24 years had the lowest prevalence of observed restraint use (80%) compared with all other age groups (87%–88%) (9). In 2010, adults aged 21–24 years and 25–34 years had the highest self-reported prevalence of driving after having had too much to drink (3.6% and 2.6%, respectively) compared with adults aged 18–20 years (2.2%) and adults aged ≥35 years (0.8%–1.9%) (10).

        Older adults in this study were more likely to be hospitalized for a crash injury compared with other age groups. Increased frailty, rather than increased risk for crash involvement, likely accounts for the majority of increased fatality risks for adults aged ≥60 years (11), and might explain the increased proportion of ED visits that result in hospitalization among this age group.

        Analyses of risk factors such as nonuse of restraints, alcohol use, and geographic location were not possible in this study. Although the Fatality Analysis Reporting System (derived from police reports) has national and state-level information on motor vehicle crash fatalities, including factors contributing to the crash, no single data source exists for risk factors and associated medical outcomes for nonfatal crash injuries. Also, the completeness of external cause-of-injury coding in existing state-based hospital discharge and ED data systems varies, making it difficult to monitor and assess motor vehicle crash injuries treated in hospitals in some state and local jurisdictions (12,13).

        The findings in this report are subject to at least four limitations. First, NEISS-AIP and HCUP-NIS use different data collection methods and thus report different estimates of the number of crash injuries. NEISS-AIP data were used to present national estimates of crash injury rates because this system focuses on injury-related visits to EDs, where most crash injuries are initially treated. Second, work-related crashes might not have been identified consistently and could be undercounted. Third, the lifetime medical cost estimates presented in this report did not include medical costs among patients that left against medical advice or were kept for observation without hospital admission; however, only 1% of the NEISS-AIP sample fell into this category. Finally, the cost estimates represent less than the full identifiable economic burden because this report does not include costs such as property damage.

        This analysis suggests that states, employers, and individuals can avert substantial medical costs by adopting safety practices and policies shown to protect motor vehicle occupants. Primary seatbelt laws, child passenger restraint laws, ignition interlocks to prevent alcohol impaired driving, publicized sobriety checkpoints, and graduated driver licensing systems for teens all have demonstrated effectiveness to reduce crash injuries and fatalities (14–18). These interventions reduce injuries and result in economic savings. For instance, an estimated 54,000 serious injuries could be prevented annually if all occupants wore seatbelts, and 82,000 serious injuries could be prevented if all drivers had a blood alcohol content of <0.08 g/dL (19). The 2009 passage of a primary seat belt law in Minnesota is estimated to have increased seat belt use and averted $45 million in hospital charges, or roughly an estimated $36 million in hospital costs (Healthcare Cost and Utilization Project, unpublished data, 2010) over a 2-year period (20). The presence of graduated driver licensing laws is associated with reduced injuries and reduced cost for private and public payers (14). A $30 booster seat is estimated to save an average of $245 in medical costs over 4 years of use (21). Finally, publicized sobriety checkpoint programs show benefit-cost ratios ranging from 2:1 to 57:1 (15). To date no state has implemented all of these safety measures in accordance with evidence and expert recommendation (22).

        Nonfatal crash injuries occur frequently, resulting in substantial costs to individuals, families, employers, and society. In recognition of the impact of these injuries, the Moving Ahead for Progress in the 21st Century Act (23) requires states to monitor serious crash injuries, in addition to fatalities, to receive full highway funding. Comprehensive data on nonfatal crash injuries will improve the ability of government, employers, and health and traffic safety organizations to understand and prevent motor vehicle crash injuries. Ultimately, full implementation of effective interventions will reduce the health and cost burden from crash injuries.

        Acknowledgments

        Lee Annest, PhD, Division of Analysis, Research, and Practice Integration, National Center for Injury Prevention and Control, CDC. Michele Huitric, MPH, Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC. Ted Miller, PhD, Pacific Institute for Research and Evaluation. Larry Blincoe, National Highway Traffic Safety Administration. Stephanie Pratt, PhD, Audrey Reichard, MPH, Division of Safety Research, National Institute for Occupational Safety and Health, CDC.


        1Division of Unintentional Injury Prevention, National Center for Injury Prevention and Control, CDC; 2Division of Analysis, Research, and Practice Integration, National Center for Injury Prevention and Control, CDC; 3McNeal Professional Services (Corresponding author: Gwen Bergen, gbergen@cdc.gov, 770-488-1394)

        References

        1. National Highway Traffic Safety Administration. Traffic safety facts 2012 data. Washington, DC: US Department of Transportation, National Highway Traffic Safety Administration; 2014. Available at http://www-nrd.nhtsa.dot.gov/pubs/812016.pdf.
        2. CDC. WISQARS (Web-Based Injury Statistics Query and Reporting System). Atlanta, GA: US Department of Health and Human Services, CDC; 2014. Available at http://www.cy118119.com/injury/wisqars.
        3. US Consumer Products Safety Commission. National Electronic Injury Surveillance System (NEISS). Bethesda, MD: US Consumer Products Safety Commission; 2014. Available at https://www.cpsc.gov/en/research-statistics/neiss-injury-data.
        4. Healthcare Cost and Utilization Project. Overview of the National Inpatient Sample (NIS). Rockville, MD: US Department of Health and Human Services, Agency for Healthcare Research and Quality; 2014. Available at http://www.hcup-us.ahrq.gov/nisoverview.jsp.
        5. Lawrence BA, Miller TR. Medical and work loss cost estimation methods for the WISQARS cost of injury module. Calverton, MD: Pacific Institute for Research and Evaluation; 2014. Available at http://www.cy118119.com/injury/wisqars/pdf/wisqars_cost_methods-a.pdf.
        6. Gold MR, Siegel JE, Russell LB, Weinstein MC, eds. Cost-effectiveness in health and medicine. New York, NY: Oxford University Press; 1996.
        7. US Department of Transportation, Federal Highway Administration. National Household Travel Survey. Washington, DC: US Department of Transportation, Federal Highway Administration; 2014. Available at http://nhts.ornl.gov.
        8. Owusu-Edusei K, Chesson HW, Gift TL, et al. The estimated direct medical cost of selected sexually transmitted infections in the United States, 2008. Sex Transm Dis 2014;40:197–201.
        9. National Highway Traffic Safety Administration. Occupant restraint use in 2012: results from the national occupant protection use survey controlled intersection study. Washington, DC: US Department of Transportation, National Highway Traffic Safety Administration; 2014. Available at http://www-nrd.nhtsa.dot.gov/pubs/811872.pdf.
        10. CDC. Vital Signs: alcohol-impaired driving among adults—United States, 2010. MMWR 2011;60:1351–6.
        11. Li G, Braver ER, Chen L. Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. Accid Anal Prev 2003;35:227–35.
        12. CDC. Recommended actions to improve external-cause-of-injury coding in state-based hospital discharge and emergency department data systems. Atlanta, GA: US Department of Health and Human Services, CDC; 2009. Available at http://www.cy118119.com/injury/pdfs/ecode-a.pdf.
        13. Barrett M, Steiner C. Healthcare Cost and Utilization Project (HCUP) external cause of injury code (E Code) evaluation report (updated with 2011 HCUP data). HCUP Methods Series report no. 2014-01. Washington, DC: US Department of Health and Human Services, US Agency for Healthcare Research and Quality; 2014. Available at http://www.hcup-us.ahrq.gov/reports/methods/methods.jsp.
        14. Pressley J, Benedicto CB, Trieu L, et al. Motor vehicle injury, mortality, and hospital charges by strength of graduated driver licensing laws in 36 states. J Trauma 2009;67:S43–53.
        15. Bergen G, Pitan A, Qu S, et al. Publicized sobriety checkpoint programs: a Community Guide systematic review. Am J Prev Med 2014;46:529–39.
        16. Dinh-Zarr TB, Sleet DA, Shults RA, et al. Reviews of evidence regarding interventions to increase the use of safety belts. Am J Prev Med 2001;21(4S):48–65.
        17. Elder RW, Voas R, Beirness D, et al. Effectiveness of ignition interlocks for preventing alcohol-impaired driving and alcohol-related crashes: a Community Guide systematic review. Am J Prev Med 2011;40:362–76.
        18. Zaza S, Sleet DA, Thompson RS, et al; Task Force on Community Preventive Services. Reviews of evidence regarding interventions to increase the use of child safety seats. Am J Prev Med 2001;21(4 Suppl):31–47.
        19. National Highway Traffic Safety Administration. The economic and societal impact of motor vehicle crashes, 2010. Report no. DOT HS 812 013. Washington, DC: National Highway Traffic Safety Administration; 2014. Available at http://www-nrd.nhtsa.dot.gov/pubs/812013.pdf.
        20. Douma F, Tilahun N. Impacts of Minnesota's primary seat belt law. St Paul, MN: Center for Excellence in Rural Safety, University of Minnesota; 2012. Available at https://dps.mn.gov/divisions/ots/seat-belts-air-bags/documents/dps-eval-primary-seat-belt-law.pdf.
        21. Miller T, Zaloshnja E, Hendrie D. Cost-outcome analysis of booster seats for auto occupants aged 4 to 7 years. Pediatrics 2006;1328:1994–8.
        22. CDC. Prevention status reports. Atlanta, GA: US Department of Health and Human Services, CDC; 2013. Available at http://www.cy118119.com/stltpublichealth/psr.
        23. US Government Printing Office. H.R. 4348. Washington, DC: US Government Printing Office; 2014. Available at http://www.gpo.gov/fdsys/pkg/bills-112hr4348enr/pdf/bills-112hr4348enr.pdf.

        Key Points

        • In 2012, an estimated 2,519,471 emergency department visits resulting from nonfatal crash injuries occurred in the United States, with 7.5% of these visits resulting in hospitalization, accounting for an estimated 1,057,465 hospitalization days in 2012.
        • The estimated total lifetime medical cost of nonfatal crash injuries was $18.4 billion (in 2012 dollars), consisting of $7.7 billion among patients treated and released from the emergency department and $10.7 billion among hospitalized patients.
        • Teens and young adults aged 15–29 years account for 21% of the population but accounted for 38% of the costs for patients treated and released for crash injuries.
        • Primary seatbelt laws, child passenger restraint laws, ignition interlocks to prevent alcohol impaired driving, publicized sobriety checkpoints, and graduated driver licensing systems for teens all have shown effectiveness to reduce crash injuries and fatalities. To date, no state has implemented all of these safety measures in accordance with evidence and expert recommendation.
        • Additional information is available at http://www.cy118119.com/vitalsigns.

        FIGURE 1. Percentage of emergency department visits for nonfatal crash injuries among motor vehicle occupants that result in hospitalization, by age group — National Electronic Injury Surveillance System, United States, 2012

        The figure above is a bar chart showing the percentage of emergency department visits for nonfatal crash injuries among motor vehicle occupants that result in hospitalization, by age group, for the year 2012. Approximately 7.5% of persons overall were hospitalized; adults aged ≥80 years had a significantly higher hospitalization rate (33%) than all other age groups except for person aged 70–79 years.

        * 95% confidence interval.

        Alternate Text: The figure above is a bar chart showing the percentage of emergency department visits for nonfatal crash injuries among motor vehicle occupants that result in hospitalization, by age group, for the year 2012. Approximately 7.5% of persons overall were hospitalized; adults aged ≥80 years had a significantly higher hospitalization rate (33%) than all other age groups except for person aged 70–79 years.


        FIGURE 2. Percentage of emergency department visits for the top five nonfatal crash injuries among motor vehicle occupants, by nature of injury and disposition — National Electronic Injury Surveillance System, United States, 2010

        The figure above is a bar chart showing the percentage of emergency department visits among persons hospitalized or treated and released, by the five most common nonfatal crash injuries. Sprains/strains accounted for 55% of injuries for which persons were treated and released.

        * Estimates based on ≤20 injury cases or a national (weighted) estimate of ≤1,200 cases might be unstable.

        Alternate Text: The figure above is a bar chart showing the percentage of emergency department visits among persons hospitalized or treated and released, by the five most common nonfatal crash injuries. Sprains/strains accounted for 55% of injuries for which persons were treated and released.


        TABLE 1. Number and rate* of emergency department visits for nonfatal crash injuries among motor vehicle occupants, by age group, sex, and disposition — National Electronic Injury Surveillance System, United States, 2012

        Age group and sex

        Total

        Treated and released

        Hospitalized

        No. of visits§¶

        No. per 100,000

        (95% CI)

        No. of visits§¶

        No. per 100,000

        (95% CI)

        No. of visits§¶

        No. per 100,000

        (95% CI)

        0–14 yrs

        Total

        171,954

        281.2**

        (218.1–344.4)

        160,810

        263.0

        (203.5–322.5)

        8,315

        13.6

        (7.2–20.0)

        Female

        94,152

        314.9

        (244.0–385.8)

        88,790

        296.9

        (228.8–365.1)

        4,241

        14.2

        (8.0–20.4)

        Male

        77,802

        249.0

        (191.8–306.3)

        72,020

        230.5

        (178.0–283.0)

        4,074

        13.0

        (5.9–20.2)

        15–29 yrs

        Total

        949,524

        1,447.6**

        (1,164.7–1,741.6)

        877,366

        1,342.7

        (1,074.5–1,611.0)

        60,737

        93.0

        (49.5–136.4)

        Female

        535,478

        1,669.0

        (1,330.7–2,017.6)

        504,770

        1,578.1

        (1,250.4–1,905.9)

        25,042

        78.6

        (41.2–115.4)

        Male

        414,022

        1,235.5

        (999.4–1,482.9)

        372,572

        1,116.9

        (900.0–1,333.9)

        35,696

        107.0

        (56.9–157.1)

        15–17 yrs

        Total

        124,977

        993.1

        (772.1–1,214.2)

        114,047

        906.3

        (703.9–1,108.7)

        9,408

        74.8

        (36.0–113.5)

        Female

        72,566

        812.9

        (917.5–1,447.4)

        67,818

        1,105.1

        (856.0–1,354.2)

        3,740

        60.9

        (27.0–94.8)

        Male

        52,411

        812.9

        (624.5–1,001.4)

        46,229

        717.0

        (549.7–884.4)

        5,668

        87.9

        (42.6–133.2)

        18–20 yrs

        Total

        239,563

        1,798.0

        (1,395.4–2,201.5)

        219,644

        1,648.9

        (1,287.5–2,010.4)

        17,106

        128.4

        (62.6–194.3)

        Female

        134,161

        2,074.0

        (1,608.6–2,538.8)

        125,761

        1,943.8

        (1,511.6–2,376.1)

        7,055

        109.0

        (47.3–170.8)

        Male

        105,402

        1,539.0

        (1,181.4–1,895.6)

        93,883

        1,370.4

        (1,060.3–1,680.5)

        10,051

        146.7

        (73.8–219.7)

        21–24 yrs

        Total

        292,060

        1,619.0

        (1,288.0–1,950.0)

        269,885

        1,496.1

        (1,186.3–1,805.9)

        18,074

        100.2

        (53.2–147.2)

        Female

        166,130

        1,882.5

        (1,453.3–2,311.7)

        156,774

        1,776.5

        (1,368.5–2,184.4)

        7,690

        87.1

        (43.5–130.8)

        Male

        125,905

        1,366.4

        (1,114.8–1,618.0)

        113,087

        1,227.3

        (997.8–1,456.8)

        10,384

        112.7

        (60.2–165.2)

        25–29 yrs

        Total

        292,925

        1,368.9

        (1,096.6–1,641.3)

        273,790

        1,279.5

        (1,016.9–1,542.1)

        16,150

        75.5

        (40.3–110.6)

        Female

        162,620

        1,540.9

        (1,231.6–1,850.2)

        154,417

        1,463.2

        (1,160.0–1,766.4)

        6,558

        62.1

        (34.9–89.4)

        Male

        130,304

        1,201.5

        (955.7–1,447.3)

        119,373

        1,100.7

        (869.0–1,332.5)

        9,592

        88.5

        (43.6–133.3)

        30–39 yrs

        Total

        434,428

        1,075.3

        (883.3–1,267.3)

        407,260

        1,008.1

        (817.7–1,198.5)

        23,556

        58.3

        (33.9–82.7)

        Female

        242,240

        1,199.8

        (986.4–1,413.1)

        229,945

        1,138.9

        (926.2–1,351.5)

        10,169

        50.4

        (30.5–70.2)

        Male

        192,188

        951.0

        (766.5–1,135.6)

        177,315

        877.4

        (696.1–1,058.8)

        13,387

        66.2

        (36.1–96.4)

        40–49 yrs

        Total

        368,556

        862.8

        (683.9–1,041.6)

        341,140

        798.6

        (621.0–976.2)

        23,608

        55.3

        (31.1–79.5)

        Female

        202,933

        942.5

        (748.1–1,136.8)

        192,064

        892.0

        (697.5–1,086.5)

        9,628

        44.7

        (22.2–67.2)

        Male

        165,624

        781.8

        (612.4–951.2)

        149,076

        703.7

        (538.3–869.0)

        13,980

        66.0

        (38.9–93.0)

        50–59 yrs

        Total

        304,965

        703.0

        (576.0–831.0)

        275,930

        636.5

        (514.1–758.9)

        25,548

        58.9

        (37.0–80.9)

        Female

        169,333

        763.0

        (619.9–905.4)

        156,938

        706.8

        (569.1–844.6)

        10,839

        48.8

        (30.4–67.2)

        Male

        135,631

        641.0

        (522.1–760.5)

        118,992

        562.6

        (449.2–676.1)

        14,710

        69.6

        (42.5–96.6)

        60–69 yrs

        Total

        167,330

        526.3

        (414.1–638.6)

        146,687

        461.4

        (364.4–558.4)

        18,813

        59.2

        (35.2–83.2)

        Female

        95,216

        571.9

        (448.6–695.2)

        85,188

        511.6

        (398.8–624.5)

        9,170

        55.1

        (34.7–75.4)

        Male

        72,114

        476.3

        (372.6–580.0)

        61,499

        406.2

        (324.3–488.0)

        9,644

        63.7

        (34.0–93.4)

        70–79 yrs

        Total

        78,389

        448.0

        (351.0–545.0)

        63,970

        365.6

        (292.5–438.7)

        13,515

        77.2

        (46.4–108.0)

        Female

        46,286

        481.6

        (366.2–597.1)

        37,865

        394.0

        (305.7–482.3)

        7,900

        82.2

        (50.5–113.9)

        Male

        32,103

        407.0

        (321.4–492.7)

        26,105

        331.0

        (266.9–395.1)

        5,615

        71.2

        (37.8–104.6)

        ≥80 yrs

        Total

        44,223

        378.9

        (267.7–490.1)

        29,035

        248.8

        (183.1–314.5)

        14,648

        125.5

        (68.0–183.0)

        Female

        26,509

        360.7

        (261.2–460.2)

        17,562

        239.0

        (174.1–303.8)

        8,783

        119.5

        (66.2–172.8)

        Male

        17,714

        410.0

        (268.8–551.1)

        11,473

        265.5

        (186.7–344.4)

        5,866

        135.8

        (65.3–206.2)

        All ages††

        Total

        2,519,471

        806.3

        (757.7–854.9)

        2,302,207

        738.5

        (692.2–784.7)

        188,833

        58.8

        (51.5–66.1)

        Female

        1,412,180

        901.5

        (844.9–958.2)

        1,313,130

        841.2

        (786.6–895.9)

        85,794

        51.9

        (45.3–58.5)

        Male

        1,107,268

        712.7

        (669.3–756.2)

        989,053

        637.1

        (596.6–677.6)

        103,039

        65.9

        (57.3–74.5)

        Abbreviation: CI = confidence interval.

        * Per 100,000 population.

        Total estimates include patients with disposition coded as "observed," "left against medical advice," or "unknown."

        § National estimates based on weighted data from the National Electronic Injury Surveillance System – All Injury Program.

        Totals include visits with unknown age and/or unknown sex. Estimates might not add up to total because of rounding.

        ** Rate is significantly different compared with other age groups within the same disposition category.

        †† Estimates for all ages are age-adjusted.


        TABLE 2. Average and total costs* of emergency department visits for nonfatal crash injuries among motor vehicle occupants, by age group, sex, and disposition — National Electronic Injury Surveillance System, United States, 2012

        Age group and sex

        Treated and released

        Hospitalized

        No. of visits†§

        Average cost ($)

        Total cost ($)

        No. of visits†§

        Average cost ($)

        Total cost ($)

        0–14 yrs

        Total

        160,810

        3,370

        541,913,000

        8,315

        63,738

        529,983,000

        Female

        88,790

        3,472

        308,311,000

        4,241

        61,929

        262,641,000

        Male

        72,020

        3,244

        233,602,000

        4,074

        65,622

        267,342,000

        15–29 yrs

        Total

        877,366

        3,386

        2,971,125,000

        60,737

        58,220

        3,536,130,000

        Female

        504,770

        3,278

        1,654,612,000

        25,042

        48,815

        1,222,416,000

        Male

        372,572

        3,534

        1,316,513,000

        35,696

        64,817

        2,313,714,000

        30–39 yrs

        Total

        407,260

        3,239

        1,319,055,000

        23,556

        56,703

        1,335,693,000

        Female

        229,945

        3,020

        694,399,000

        10,169

        51,096

        519,593,000

        Male

        177,315

        3,523

        624,656,000

        13,387

        60,962

        816,100,000

        40–49 yrs

        Total

        341,140

        3,311

        1,129,637,000

        23,608

        53,405

        1,260,796,000

        Female

        192,064

        3,106

        596,617,000

        9,628

        53,063

        510,886,000

        Male

        149,076

        3,575

        533,020,000

        13,980

        53,642

        749,910,000

        50–59 yrs

        Total

        275,930

        3,315

        914,703,000

        25,548

        53,638

        1,370,351,000

        Female

        156,938

        3,178

        498,816,000

        10,839

        51,806

        561,529,000

        Male

        118,992

        3,495

        415,887,000

        14,710

        54,984

        808,822,000

        60–69 yrs

        Total

        146,687

        3,507

        514,419,000

        18,813

        55,378

        1,041,821,000

        Female

        85,188

        3,593

        306,085,000

        9,170

        48,115

        441,218,000

        Male

        61,499

        3,388

        208,334,000

        9,644

        62,277

        600,603,000

        70–79 yrs

        Total

        63,970

        3,783

        241,970,000

        13,515

        59,011

        797,531,000

        Female

        37,865

        3,866

        146,392,000

        7,900

        53,432

        422,114,000

        Male

        26,105

        3,661

        95,578,000

        5,615

        66,860

        375,417,000

        ≥80 yrs

        Total

        29,035

        3,679

        106,829,000

        14,648

        56,103

        821,795,000

        Female

        17,562

        3,754

        65,924,000

        8,783

        52,191

        458,391,000

        Male

        11,473

        3,565

        40,905,000

        5,866

        61,951

        363,404,000

        All ages

        Total

        2,302,207

        3,362

        7,739,677,000

        188,833

        56,674

        10,701,947,000

        Female

        1,313,130

        3,253

        4,271,182,000

        85,794

        51,279

        4,399,393,000

        Male

        989,053

        3,507

        3,468,495,000

        103,039

        61,167

        6,302,554,000

        * Costs are in 2012 U.S. dollars.

        National estimates based on weighted data from the National Electronic Injury Surveillance System – All Injury Program.

        § Totals include visits with unknown age and/or unknown sex. Estimates might not add up to total because of rounding.



        Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of Health and Human Services.

        References to non-CDC sites on the Internet are provided as a service to MMWR readers and do not constitute or imply endorsement of these organizations or their programs by CDC or the U.S. Department of Health and Human Services. CDC is not responsible for the content of pages found at these sites. URL addresses listed in MMWR were current as of the date of publication.


        All MMWR HTML versions of articles are electronic conversions from typeset documents. This conversion might result in character translation or format errors in the HTML version. Users are referred to the electronic PDF version (http://www.cy118119.com/mmwr) and/or the original MMWR paper copy for printable versions of official text, figures, and tables. An original paper copy of this issue can be obtained from the Superintendent of Documents, U.S. Government Printing Office (GPO), Washington, DC 20402-9371; telephone: (202) 512-1800. Contact GPO for current prices.

        **Questions or messages regarding errors in formatting should be addressed to mmwrq@cdc.gov.

         
        USA.gov: The U.S. Government's Official Web PortalDepartment of Health and Human Services
        Centers for Disease Control and Prevention   1600 Clifton Road Atlanta, GA 30329-4027, USA
        800-CDC-INFO (800-232-4636) TTY: (888) 232-6348 - Contact CDC–INFO
        A-Z Index
        1. A
        2. B
        3. C
        4. D
        5. E
        6. F
        7. G
        8. H
        9. I
        10. J
        11. K
        12. L
        13. M
        14. N
        15. O
        16. P
        17. Q
        18. R
        19. S
        20. T
        21. U
        22. V
        23. W
        24. X
        25. Y
        26. Z
        27. #
        国产精品久久久久久一级毛片