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Table 153
Reclosure of postoperative disruption of abdominal wall (postoperative abdominal wound dehiscence) per 1000 abdominopelvic-surgery discharges (excluding obstetric conditions), by race/ethnicity, United States, 2002 |
| Population group |
Total |
Non-Hispanic |
Hispanic (all races) |
| White |
Black |
API |
| Rate a |
SE |
Rate a |
SE |
Rate a |
SE |
Rate a |
SE |
Rate a |
SE |
|---|
| Total |
|
2.3 |
0.1 |
2.4 |
0.1 |
2.3 |
0.2 |
1.8 |
0.4 |
2.2 |
0.2 |
| Age |
0-17 |
1.6 |
0.2 |
1.6 |
0.2 |
2.1 |
0.4 |
* |
* |
1.7 |
0.3 |
| 18-44 |
1.9 |
0.1 |
1.8 |
0.1 |
2.1 |
0.1 |
1.5 |
0.4 |
1.9 |
0.2 |
| 45-64 |
2.8 |
0.1 |
2.8 |
0.1 |
3.0 |
0.2 |
2.2 |
0.4 |
2.6 |
0.2 |
| 65 and over |
4.9 |
0.1 |
5.0 |
0.1 |
4.4 |
0.3 |
4.2 |
0.6 |
5.5 |
0.4 |
| Age |
65-69 |
4.6 |
0.2 |
4.5 |
0.2 |
4.6 |
0.5 |
6.4 |
1.1 |
4.0 |
0.6 |
| 70-74 |
4.6 |
0.2 |
4.5 |
0.2 |
3.9 |
0.6 |
5.0 |
1.2 |
6.6 |
0.7 |
| 75-79 |
5.8 |
0.2 |
5.9 |
0.2 |
6.2 |
0.7 |
* |
* |
5.7 |
0.8 |
| 80-84 |
5.5 |
0.2 |
5.8 |
0.3 |
3.0 |
0.9 |
* |
* |
5.7 |
1.1 |
| 85 and over |
4.0 |
0.3 |
4.0 |
0.3 |
3.7 |
1.0 |
* |
* |
6.8 |
1.3 |
| Gender |
Male |
2.9 |
0.1 |
3.0 |
0.2 |
3.1 |
0.4 |
* |
* |
2.2 |
0.3 |
| Female |
1.1 |
0.1 |
1.0 |
0.1 |
1.2 |
0.2 |
* |
* |
1.6 |
0.2 |
| Median income of patient's ZIP Code |
Less than $25,000 |
2.6 |
0.3 |
2.5 |
0.4 |
3.4 |
0.4 |
* |
* |
* |
* |
| $25,000-$34,999 |
2.5 |
0.2 |
2.5 |
0.2 |
2.1 |
0.3 |
* |
* |
3.7 |
0.4 |
| $35,000-$44,999 |
2.5 |
0.1 |
2.6 |
0.2 |
2.5 |
0.3 |
* |
* |
2.2 |
0.3 |
| $45,000 or more |
2.1 |
0.1 |
2.2 |
0.1 |
2.0 |
0.2 |
1.7 |
0.4 |
1.8 |
0.2 |
| Location of patient residence |
Metropolitan-large |
2.2 |
0.1 |
2.3 |
0.1 |
2.2 |
0.2 |
* |
* |
2.2 |
0.2 |
| Metropolitan-small |
2.5 |
0.1 |
2.5 |
0.2 |
2.6 |
0.3 |
* |
* |
2.0 |
0.4 |
| Micropolitan |
2.6 |
0.2 |
2.4 |
0.2 |
3.9 |
0.7 |
5.7 |
1.3 |
3.6 |
0.8 |
| Noncore |
2.2 |
0.2 |
2.2 |
0.3 |
* |
* |
* |
* |
4.2 |
1.1 |
| Expected payment source |
Private insurance |
1.8 |
0.1 |
1.8 |
0.1 |
1.9 |
0.2 |
1.4 |
0.4 |
1.8 |
0.2 |
| Medicare |
3.2 |
0.2 |
3.2 |
0.2 |
3.0 |
0.5 |
* |
* |
3.8 |
0.6 |
| Medicaid |
2.7 |
0.2 |
2.9 |
0.2 |
2.8 |
0.3 |
* |
* |
2.3 |
0.3 |
| Other insurance |
2.4 |
0.3 |
2.6 |
0.4 |
2.3 |
0.7 |
* |
* |
2.3 |
0.5 |
| Uninsured/self pay/no charge |
1.9 |
0.2 |
1.9 |
0.3 |
1.8 |
0.5 |
* |
* |
* |
* |
| Region of inpatient treatment |
Northeast |
2.3 |
0.2 |
2.5 |
0.2 |
1.6 |
0.4 |
* |
* |
1.9 |
0.4 |
| Midwest |
2.7 |
0.1 |
2.6 |
0.2 |
3.3 |
0.3 |
* |
* |
3.2 |
0.9 |
| South |
2.2 |
0.1 |
2.1 |
0.1 |
2.2 |
0.2 |
* |
* |
2.5 |
0.3 |
| West |
2.2 |
0.1 |
2.4 |
0.2 |
2.1 |
0.5 |
1.6 |
0.5 |
2.1 |
0.2 |
| Ownership/control of hospital |
Private, not-for-profit |
2.4 |
0.1 |
2.4 |
0.1 |
2.3 |
0.2 |
* |
* |
2.3 |
0.2 |
| Private, for-profit |
1.7 |
0.2 |
1.9 |
0.2 |
1.8 |
0.4 |
* |
* |
* |
* |
| Public |
2.5 |
0.2 |
2.5 |
0.2 |
2.6 |
0.4 |
3.1 |
0.8 |
2.7 |
0.3 |
| Teaching status of hospital |
Teaching |
2.6 |
0.1 |
2.7 |
0.1 |
2.7 |
0.2 |
* |
* |
2.3 |
0.2 |
| Non-teaching |
2.2 |
0.1 |
2.2 |
0.1 |
1.9 |
0.2 |
1.9 |
0.5 |
2.2 |
0.2 |
| Location of hospital |
Metropolitan-large |
2.2 |
0.1 |
2.3 |
0.1 |
2.2 |
0.2 |
* |
* |
2.1 |
0.2 |
| Metropolitan-small |
2.5 |
0.1 |
2.5 |
0.1 |
2.8 |
0.3 |
* |
* |
2.3 |
0.4 |
| Micropolitan |
2.4 |
0.2 |
2.3 |
0.2 |
2.5 |
0.7 |
* |
* |
* |
* |
| Noncore |
2.2 |
0.3 |
2.2 |
0.4 |
* |
* |
* |
* |
7.6 |
1.7 |
| Bed size of hospital |
Less than 100 |
2.2 |
0.2 |
2.1 |
0.2 |
3.2 |
0.6 |
* |
* |
3.0 |
0.5 |
| 100 - 299 |
2.1 |
0.1 |
2.1 |
0.1 |
1.7 |
0.3 |
2.7 |
0.5 |
1.9 |
0.2 |
| 300 - 499 |
2.5 |
0.1 |
2.7 |
0.2 |
2.2 |
0.3 |
* |
* |
2.1 |
0.3 |
| 500+ |
2.6 |
0.1 |
2.5 |
0.2 |
2.9 |
0.3 |
* |
* |
2.9 |
0.4 |
a Estimates are adjusted by age, gender, age-gender interactions, comorbidities, and DRG clusters. When reporting is by age, the adjustment is by gender, comorbidities, and DRG clusters; when reporting is by gender, the adjustment is by age, comorbidities, and DRG clusters.
* Data do not meet the criteria for statistical reliability, data quality, or confidentiality.
Key: API: Asian or Pacific Islander; SE: Standard error.
Source: Agency for Healthcare Research and Quality, Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, State Inpatient Databases, disparities analysis file, 2002. This file is designed to provide national estimates on disparities using weighted records from a sample of hospitals from the following 22 States: AZ, CA, CO, CT, FL, GA, HI, KS, MD, MA, MI, MO, NJ, NY, PA, RI, SC, TN, TX, VA, VT, and WI.
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