| Literature DB >> 22905938 |
Huiyun Xiang1, Junxin Shi, Bo Lu, Krista Wheeler, Weiyan Zhao, J R Wilkins, Gary A Smith.
Abstract
BACKGROUND: No national study has investigated whether immigrant workers are less likely than U.S.-workers to seek medical treatment after occupational injuries and whether the payment source differs between two groups.Entities:
Mesh:
Year: 2012 PMID: 22905938 PMCID: PMC3490770 DOI: 10.1186/1471-2458-12-678
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Eligible study participants.
Incidence of occupational injuries and the proportion of injured workers seeking treatment, MEPS Panels 9-23 (2004-2009)
| U.S.-born workers | 27211 | 1909 | 2176 | 1686 | 129.1 | 9.2 | 10.4 | 8.1 | 4.0 | 3.8-4.3 | 77.3 | 75.1-79.4 |
| Immigrant workers | 9042 | 508 | 560 | 433 | 25.9 | 1.4 | 1.5 | 1.2 | 3.0 | 2.6-3.3 | 75.6 | 69.8-80.7 |
| Total | 36253 | 2417 | 2736 | 2119 | 155.0 | 10.6 | 12.0 | 9.2 | 3.9 | 3.7-4.1 | 77.1 | 75.0-79.1 |
Rates take into account the varying lengths of follow-up per worker. Workers (18-64 years old) were employed in at least one round.
95% confidence intervals were calculated using bootstrap method with 1000 repeating bootstrap samples.
Logistic regression analysis of seeking medical treatment after an occupational injury, MEPS Panels 9-13 (2004-2009)
| U.S.-born workers (ref.) | 1.00 | | 1.00 | | 1.00 | | 1.00 | |
| Immigrant workers | 0.88 | 0.63-1.21 | 0.91 | 0.61-1.36 | 0.92 | 0.61-1.39 | 0.98 | 0.65-1.47 |
| Male (ref.) | | | 1.00 | | 1.00 | | 1.00 | |
| Female | | | ||||||
| 18-24 (ref.) | | | 1.00 | | 1.00 | | 1.00 | |
| 25-44 | | | 1.28 | 0.85-1.94 | 1.25 | 0.84-1.87 | 1.30 | 0.87-1.95 |
| 45-54 | | | 1.02 | 0.65-1.60 | 0.96 | 0.61-1.50 | 0.97 | 0.61-1.53 |
| 55-64 | | | 1.20 | 0.70-2.05 | 1.13 | 0.67-1.91 | 1.14 | 0.67-1.95 |
| White, Non-Hispanic (ref.) | | | 1.00 | | 1.00 | | 1.00 | |
| Black, Non-Hispanic | | | 0.99 | 0.69-1.42 | 1.02 | 0.71-1.46 | 1.01 | 0.70-1.44 |
| Hispanic | | | 0.85 | 0.59-1.24 | 0.88 | 0.60-1.29 | 0.91 | 0.61-1.35 |
| Asian | | | 1.20 | 0.47-3.03 | 1.15 | 0.46-2.92 | 1.07 | 0.42-2.74 |
| Married (ref.) | | | 1.00 | | 1.00 | | 1.00 | |
| Widowed/divorced/separated | | | 0.78 | 0.57-1.07 | 0.80 | 0.59-1.10 | 0.84 | 0.61-1.14 |
| Never married/others | | | 0.77 | 0.56-1.04 | ||||
| Less than high school (ref.) | | | 1.00 | | 1.00 | | 1.00 | |
| High school | | | 1.08 | 0.79-1.49 | 1.03 | 0.75-1.42 | 0.95 | 0.69-1.32 |
| College and higher | | | 0.97 | 0.70-1.35 | 0.91 | 0.64-1.29 | 0.82 | 0.58-1.18 |
| Poor (<100% FPL) (ref.) | | | | | 1.00 | | 1.00 | |
| Near poor (<100%-124% FPL) | | | | | 1.48 | 0.80-2.74 | 1.47 | 0.80-2.70 |
| Low income (125%-199% FPL) | | | | | 1.34 | 0.86-2.11 | 1.27 | 0.81-1.98 |
| Middle income (200-399% FPL) | | | | | 1.40 | 0.93-2.12 | ||
| High income (≥400% FPL) | | | | | 1.33 | 0.84-2.09 | ||
| Any private (ref.) | | | | | | | 1.00 | |
| Public insurance only | | | | | | | 0.89 | 0.48-1.67 |
| Uninsured | ||||||||
*For models 2, 3 and 4, the reported odds ratios (ORs) are adjusted for all other variables in the model.
Text is bolded when P < 0.05 from significance test of comparison with reference group.
ref. = reference group; FPL = Federal poverty level.
Medical expenditures by type of services and payment sources for medical treatment of occupational injuries, MEPS Panels 9-13 (2004-2009)
| 18453 | 100.0 | | 2251 | 100.0 | | |
| Ambulatory | 11559 | 62.6 | 53.9-70.7 | 1348 | 59.9 | 48.4-71.7 |
| Emergency department | 2372 | 12.9 | 10.2-16.3 | 344 | 15.3 | 9.8-22.6 |
| Hospital inpatient | 4013 | 21.7 | 13.0-31.7 | 484 | 21.5 | 9.9-33.2 |
| Home health | 3 | 0.02 | 0.0-0.05 | 7 | 0.3 | 0.0-0.9 |
| Prescribed medicines | 506 | 2.7 | 2.2-3.4 | 68 | 3.0 | 2.1-4.2 |
| Family (out of pocket) | 1241 | 6.7 | 5.5-8.3 | 160 | 7.1 | 5.2-9.6 |
| Medicare | 37 | 0.2 | 0.1-0.4 | 3 | 0.1 | 0.0-0.4 |
| Medicaid | 256 | 1.4 | 0.7-2.4 | 55 | 2.4 | 0.5-5.1 |
| Private insurance | 5595 | 30.3 | 24.6-36.8 | 560 | 24.9 | 17.3-33.9 |
| Workers’ compensation | 10514 | 57.0 | 49.4-63.6 | 972 | 43.2 | 33.0-53.7 |
| Other sources¥ | 811 | 4.4 | 3.1-6.0 | 501 | 22.3 | 10.5-35.3 |
Note: *95% confidence intervals were calculated using the bootstrap methods with 2000 repeating bootstrap samples.
¥ Includes VETERANS, TRICARE, other federal, State/Local, and any other source not included above.
Linear regression analysis of medical expenditures o occupational injuries per injured worker during the 2 year MEPS reference period, MEPS Panels 9-13 (2004-2009)
| U.S.-born workers (ref.) | | | | | 2357 | | ||||||
| Immigrant workers | | | | | 2351 | 0.99 | ||||||
| Male (ref.) | 2399 | | 2265 | | 2229 | | ||||||
| Female | 2772 | 0.19 | 1985 | 0.54 | 2486 | 0.26 | ||||||
| 18-24 (ref.) | 1892 | | 915 | | 1661 | | ||||||
| 25-44 | 2129 | 0.46 | 2436 | 1998 | 0.22 | |||||||
| 45-54 | 2843 | 3497 | 2706 | |||||||||
| 55-64 | 3861 | 2593 | 3419 | |||||||||
| White, Non-Hispanic (ref.) | 2382 | | 2980 | | 2390 | | ||||||
| Black, Non-Hispanic | 2647 | 0.58 | 1172 | 0.06 | 2393 | 0.99 | ||||||
| Hispanic | 2030 | 0.38 | 2337 | 0.39 | 2125 | 0.44 | ||||||
| Asian | 3454 | 0.35 | 2476 | 0.61 | 2525 | 0.83 | ||||||
| Married (ref.) | 2599 | | 1648 | | 2302 | | ||||||
| Widowed/divorced/separated | 2543 | 0.88 | 2249 | 0.23 | 2356 | 0.86 | ||||||
| Never married/others | 2594 | 0.99 | 2571 | 0.17 | 2405 | 0.75 | ||||||
| Less than high school (ref.) | 2932 | | 1996 | | 2646 | | ||||||
| High school | 2589 | 0.40 | 1987 | 0.99 | 2331 | 0.34 | ||||||
| College and higher | 2258 | 0.07 | 2403 | 0.55 | 2114 | 0.08 | ||||||
| Poor (<100% FPL) (ref.) | 1971 | | 1811 | | 18200 | | ||||||
| Near poor (100%-124% FPL) | 2601 | 0.32 | 2141 | 0.72 | 2391 | 0.26 | ||||||
| Low income (125%-199% FPL) | 2623 | 0.21 | 2464 | 0.38 | 2428 | 0.15 | ||||||
| Middle income (200-399% FPL) | 2656 | 0.14 | 2319 | 0.46 | 2421 | 0.12 | ||||||
| High income (≥400% FPL) | 3192 | 0.03 | 1933 | 0.86 | 2826 | 0.03 | ||||||
| Any private (ref.) | 2867 | | 1977 | | 2557 | | ||||||
| Public insurance only | 2700 | 0.81 | 3571 | 0.07 | 2706 | 0.79 | ||||||
| Uninsured | 2215 | 0.07 | 1350 | 0.12 | 1885 | |||||||
*The original expenditure data were transformed using natural logarithm and linear regression models were fitted. Average mean expenditures were calculated using Duan’s smearing method.29
**P from significance test of comparison with reference group. P values< 0.05 are in bold text.
ref. = reference group; FPL = Federal poverty level.