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Table 10_2_9.2
Deaths per 1,000 admissions in low-mortality diagnosis-related groups (DRGs), age 18 and over or obstetric admissions, by race/ethnicity, United States, 2005
Population group Total Non-Hispanic Hispanic, all races
White Black API
Ratea SE Ratea SE Ratea SE Ratea SE Ratea SE
Total 0.54 0.02 0.63 0.02 0.53 0.03 0.30 0.05 0.29 0.03
Age 18–44 0.15 0.01 0.13 0.01 0.30 0.03 * * 0.12 0.02
45–64 0.53 0.03 0.52 0.03 0.60 0.07 * * 0.53 0.09
65 and over 2.29 0.07 2.31 0.08 2.31 0.21 1.91 0.41 2.07 0.25
Age 65–69 0.99 0.09 1.00 0.10 0.77 0.23 * * 1.11 0.32
70–74 1.51 0.11 1.49 0.12 1.36 0.32 * * 1.93 0.39
75–79 2.27 0.15 2.21 0.16 3.11 0.52 * * 2.08 0.47
80–84 3.04 0.18 3.13 0.20 3.30 0.64 * * * *
85 and over 4.81 0.25 4.67 0.26 5.25 0.93 * * 5.72 1.13
Gender Male 1.02 0.04 1.07 0.05 0.91 0.09 * * 0.94 0.10
Female 0.39 0.01 0.47 0.02 0.42 0.03 0.26 0.05 0.18 0.02
Median income of patient's ZIP Code First quartile (lowest income) 0.56 0.03 0.71 0.04 0.52 0.04 * * 0.32 0.04
Second quartile 0.55 0.03 0.65 0.03 0.52 0.06 0.51 0.13 0.24 0.04
Third quartile 0.52 0.03 0.60 0.03 0.51 0.07 0.30 0.09 0.25 0.05
Fourth quartile (highest income) 0.53 0.03 0.58 0.04 0.64 0.12 * * 0.32 0.07
Location of patient residence Large central metropolitan 0.51 0.02 0.65 0.04 0.54 0.04 0.26 0.05 0.32 0.04
Large fringe metropolitan 0.56 0.03 0.64 0.04 0.55 0.08 * * 0.27 0.05
Medium metropolitan 0.49 0.03 0.57 0.04 0.43 0.07 * * 0.21 0.05
Small metropolitan 0.51 0.04 0.52 0.05 0.63 0.13 * * * *
Micropolitan (nonmetro) 0.65 0.04 0.70 0.05 0.55 0.12 0.70 0.17 * *
Noncore (nonmetro) 0.65 0.05 0.71 0.06 0.51 0.15 * * * *
Expected payment source Private insurance 0.24 0.02 0.23 0.02 0.36 0.04 * * 0.22 0.05
Medicare 1.78 0.05 1.83 0.06 1.48 0.13 1.79 0.42 1.55 0.20
Medicaid 0.23 0.02 0.27 0.03 0.32 0.04 * * 0.12 0.02
Other insurance 0.48 0.07 0.52 0.09 * * * * * *
Uninsured/self-pay/no charge 0.41 0.04 0.44 0.06 0.50 0.10 * * 0.32 0.08
Region of inpatient treatment Northeast 0.61 0.04 0.73 0.05 0.44 0.06 * * 0.40 0.08
Midwest 0.51 0.03 0.53 0.04 0.51 0.06 * * * *
South 0.58 0.03 0.66 0.03 0.59 0.05 * * 0.34 0.05
West 0.43 0.03 0.61 0.04 0.50 0.10 0.38 0.08 0.19 0.03
Ownership/control of hospital Private, not for profit 0.54 0.02 0.61 0.02 0.53 0.04 0.31 0.06 0.31 0.04
Private, for profit 0.57 0.04 0.70 0.05 0.61 0.09 * * 0.30 0.06
Public 0.51 0.04 0.69 0.06 0.46 0.07 0.37 0.10 0.18 0.05
Teaching status of hospital Teaching 0.53 0.03 0.64 0.04 0.51 0.05 0.23 0.06 0.32 0.06
Nonteaching 0.55 0.02 0.63 0.02 0.54 0.04 0.33 0.06 0.27 0.03
Location of hospital Large central metropolitan 0.53 0.03 0.67 0.04 0.54 0.04 0.24 0.05 0.32 0.04
Large fringe metropolitan 0.55 0.04 0.62 0.05 0.58 0.08 * * 0.27 0.07
Medium metropolitan 0.54 0.03 0.63 0.04 0.44 0.07 * * 0.27 0.06
Small metropolitan 0.50 0.04 0.53 0.05 0.55 0.11 * * * *
Micropolitan (nonmetro) 0.58 0.04 0.64 0.05 0.52 0.12 0.72 0.17 * *
Noncore (nonmetro) 0.68 0.09 0.76 0.11 * * * * * *
Bed size of hospital Less than 100 0.60 0.05 0.69 0.06 0.46 0.12 * * * *
100–299 0.52 0.02 0.61 0.03 0.56 0.06 0.33 0.07 0.27 0.04
300–499 0.50 0.02 0.58 0.03 0.51 0.05 * * 0.31 0.04
500 or more 0.60 0.04 0.71 0.05 0.55 0.06 * * 0.32 0.08

a No risk-adjustment is performed for this outcome of interest.

* - 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, 2005. This file is designed to provide national estimates on disparities using weighted records from a sample of hospitals from the following 23 States: AR, AZ, CA, CO, CT, FL, GA, HI, KS, MA, MD, MI, MO, NH, NJ, NY, OK, RI, SC, TN, TX, VT, and WI.

 

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