| Literature DB >> 30037812 |
Katherine J Holzer1, Michael G Vaughn2, Vithya Murugan2.
Abstract
Dog bite-related injuries are associated with high medical costs. The aim of this study was to estimate the prevalence, correlates and recent trends in dog bite injuries among male and female individuals presenting to US emergency departments. The prevalence of dog bites was calculated for years 2010-2014 using the Nationwide Emergency Department Sample. Sex-stratified multivariate logistic regression analyses were conducted with 'dog bite' as the dependent variable and patient and hospital characteristics as independent variables. Overall, the prevalence of dog bite injuries decreased from 2010 to 2014. The prevalence is highest in this sample among male youth. Male individuals diagnosed with an externalising behaviour disorder were more likely to present with a dog bite (OR=1.21, 95% CI 1.27 to 1.30). While the prevalence of dog bites has decreased in recent years, this costly and largely preventable injury remains a concern, especially among youth. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: animal bites; cross sectional study; gender; hospital care; surveillance
Mesh:
Year: 2018 PMID: 30037812 PMCID: PMC6582734 DOI: 10.1136/injuryprev-2018-042890
Source DB: PubMed Journal: Inj Prev ISSN: 1353-8047 Impact factor: 2.399
Figure 1Prevalence estimates for dog bite injuries among US emergency department discharges: by age and sex.
Demographic characteristics of dog bite victims compared with non-dog bite victims according to sex
| OR | 95% CI | P values | OR | 95% CI | P values | |
| Age (years) | ||||||
| >50 (M=536 976; F=675 483) | Reference | Reference | ||||
| 36–50 (M=319 934; F=395 511) | 1.55 | 1.51 to 1.58 | <0.001 | 1.32 | 1.29 to 1.34 | <0.001 |
| 26–35 (M=233 732; F=333 774) | 1.81 | 1.77 to 1.85 | <0.001 | 1.04 | 1.02 to 1.06 | <0.001 |
| 18–25 (M=195 044; F=302 727) | 1.98 | 1.93 to 2.03 | <0.001 | 1.09 | 1.07 to 1.12 | <0.001 |
| <18 (M=429 791; F=382 530) | 2.96 | 2.87 to 3.05 | <0.001 | 2.41 | 2.34 to 2.48 | <0.001 |
| Primary payer | ||||||
| Medicare (M=338 444; F=456 338) | Reference | Reference | ||||
| Medicaid (M=448 215; F=642 329) | 2.57 | 2.49 to 2.64 | <0.001 | 1.61 | 1.57 to 1.65 | <0.001 |
| Private insurance (M=501 294; F=606 859) | 3.06 | 2.98 to 2.13 | <0.001 | 2.73 | 2.66 to 2.79 | <0.001 |
| Self-pay (M=309 928; F=279 887) | 2.69 | 2.59 to 2.79 | <0.001 | 1.98 | 1.92 to 2.04 | <0.001 |
| No charge (M=12 888; F=12 358) | 2.03 | 1.87 to 2.20 | <0.001 | 1.63 | 1.49 to 1.78 | <0.001 |
| Other (M=100 232; F=87 865) | 3.39 | 3.25 to 3.54 | <0.001 | 3.19 | 3.04 to 3.35 | <0.001 |
| Externalising behaviour | ||||||
| No diagnosis (M=1 700 999; F=2 080 818) | Reference | Reference | ||||
| Diagnosis (M=14 537; F=9278) | 1.21 | 1.14 to 1.29 | <0.001 | 1.00 | 0.92 to 1.09 | 0.979 |
| Admission day | ||||||
| Monday–Friday (M=1 215 274; F=1 489 682) | Reference | Reference | ||||
| Saturday–Sunday (M=499 801; F=600 093) | 1.28 | 1.27 to 1.30 | <0.001 | 1.27 | 1.25 to 1.28 | <0.001 |
| Region of hospital | ||||||
| West (M=323 194; F=376 375) | Reference | Reference | ||||
| Northeast (M=324 384; F=372 785) | 1.27 | 1.18 to 1.37 | <0.001 | 1.47 | 1.36 to 1.58 | <0.001 |
| Midwest (M=346 276; F=425 434) | 1.14 | 1.05 to 1.24 | 0.002 | 1.15 | 1.06 to 1.25 | <0.001 |
| South (M=721 682; F=915 502) | 1.23 | 1.15 to 1.31 | <0.001 | 1.16 | 1.08 to 1.24 | <0.001 |
| Median household income for zip code | ||||||
| 0–25th percentile (M=562 869; F=699 015) | Reference | Reference | ||||
| 26th–50th percentile (M=445 038; F=551 726) | 1.07 | 1.05 to 1.10 | <0.001 | 1.19 | 1.16 to 1.22 | <0.001 |
| 51st–75th percentile (M=375 737; F=459 147) | 1.12 | 1.08 to 1.15 | <0.001 | 1.30 | 1.26 to 1.34 | <0.001 |
| 76th–100th percentile (M=293 006; F=341 933) | 1.20 | 1.16 to 1.25 | <0.001 | 1.59 | 1.53 to 1.65 | <0.001 |
Externalising behaviour includes diagnosis for attention-deficit, conduct and disruptive behaviour disorders (code 652 for Clinical Classifications Software values 1–15).
Source: National Emergency Department Surveillance26–2015 (Q1–Q3).
Source: National Emergency Department Surveillance System, 2010–2015 (Q1-Q3)
F, female; M, male.