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National Healthcare Disparities Report, 2013

Chapter 9: Text Descriptions

Figure 9.1. Electronic health record use in hospitals, by hospital control and hospital type, 2011

Hospital Type Fully Implemented Medication Lists Drug Decision Support CPOE of Medications Pharmaceutical Bar Coding
Government Non-Federal 23.7% 38.5% 52.2% 43.9% 36.6%
Nongovernment Not for Profit 34.5% 50.2% 71.6% 55.3% 52.4%
Investor Owned For Profit 15.2% 22.9% 40.5% 25.4% 33.2%
Government Federal 80.3% 81.1% 97.6% 92.8% 79.5%
General Medical & Surgical 31.4% 47.2% 66.7% 50.6% 50.0%
Psychiatric 12.2% 12.1% 26.4% 28.2% 13.2%
Rehabilitation 18.8% 20.4% 27.5% 28.8% 29.7%
Children's General 47.3% 73.6% 76.6% 76.9% 53.1%
Acute Long-Term Care 20.2% 17.4% 34.1% 31.1% 23.3%

Key: CPOE = computerized provider order entry.
Source: American Hospital Association, 2011 Annual Survey Information Technology Supplement.
Note: Data were obtained from an average of 3,414 hospitals.

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Figure 9.2. Office-based physicians with an electronic health record system, by region, metropolitan status, and specialty, 2012

Region / Metropolitan Status / Specialty Percent
Total 71.8
Northeast 70.2
Midwest 71.0
South 68.6
West 78.9
MSA 72.0
Non-MSA 69.5
Primary Care 74.9
Surgical 66.5
Medical 70.7

Key: MSA = metropolitan statistical area.
Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey (NAMCS), 2012 NAMCS National Electronic Health Records Survey.
Denominator: Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.

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Figure 9.3. Office-based physicians with a computerized system for ordering prescriptions, by region and specialty, 2009-2012

Region / Specialty 2009 2010 2011 2012
Northeast 42.5% 53.8% 64.8% 81.3%
Midwest 41.1% 63.5% 66.9% 80.3%
South 39.0% 53.4% 62.2% 77.1%
West 49.2% 61.3% 66.8% 80.7%
Total 42.7% 57.4% 64.8% 79.5%
Primary Care 46.0% 61.4% 70.0% 81.4%
Surgical 35.9% 49.5% 62.7% 78.9%
Medical 40.3% 55.6% 58.4% 76.9%

Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey, 2009-2010 NAMCS Core and Electronic Medical Record Supplement and 2011-2012 NAMCS National Electronic Health Records Survey.
Denominator: Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.

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Figure 9.4. Office-based physicians with a computerized system for sending prescriptions electronically to pharmacies, by region and specialty, 2009-2010 and 2012

Region / Specialty 2009 2010 2012
Northeast 33.0% 45.1% 76.1%
Midwest 33.2% 53.7% 75.6%
South 27.4% 40.2% 70.1%
West 40.8% 48.2% 73.2%
Total 33.0% 46.0% 73.3%
Primary Care 38.4% 51.3% 75.7%
Surgical Care 24.4% 37.9% 72.9%
Medical Care 28.8% 42.6% 69.5%

Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey, 2009-2010 NAMCS Core and Electronic Medical Record Supplement and 2012 NAMCS National Electronic Health Records Survey.
Denominator: Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.
Note: The 2011 data not available.

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Figure 9.5. Office-based physicians with an e-prescribing system with a component for providing warnings of drug interactions or contraindications, by region and specialty, 2009-2010 and 2012

Region / Specialty 2009 2010 2012
Northeast 36.5% 45.0% 70.2%
Midwest 36.2% 54.9% 68.5%
South 33.7% 40.7% 62.2%
West 43.7% 48.8% 67.7%
Total 37.3% 46.6% 66.5%
Primary Care 40.2% 52.9% 71.9%
Surgical 31.4% 37.4% 59.6%
Medical 34.7% 41.9% 63.0%

Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey, 2009-2010 NAMCS Core and Electronic Medical Record Supplement and 2012 NAMCS National Electronic Health Records Survey.
Denominator: Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.
Note: The 2011 data not available

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Figure 9.6. Rate of nurse practitioners per 100,000 population, by race and ethnicity, 2010-2011

Year White Black Asian Total Non-Hispanic White Hispanic
2010 40.5 9.2 22.2 32.8 45.1 9.3
2011 37.4 14.0 26.8 31.2 42.0 7.1

Source: U.S. Census Bureau, American Community Survey, 2010-2011.

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Figure 9.7. Rate of physician assistants per 100,000 population, by race and ethnicity, 2006-2011

Year White Black Asian >1 Race Total Non-Hispanic White Hispanic
2006 40.1 27.5 65.7 16.7 37.8 40.8 28.0
2007 40.1 24.7 47.4 15.8 36.3 42.1 20.0
2008 29.3 20.3 38.9 18.2 27.2 31.4 12.9
2009 41.0 24.6 67.8 28.8 38.8 43.2 23.8
2010 43.6 21.6 52.4 33.7 39.6 46.2 23.5
2011 46.5 25.6 57.4 40.7 42.7 49.1 26.6

Source: U.S. Census, American Community Survey, 2006-2011.

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Figure 9.8. Distribution of trauma center utilization for severe injuries in the United States, by sex and area income, 2010

Sex / Area Income Trauma Level I & II Nontrauma
Total 64.0% 29.6%
Male 67.2% 26.5%
Female 58.2% 35.1%
Quartile 1 (Lowest) 65.6% 27.6%
Quartile 2 63.1% 28.9%
Quartile 3 63.9% 30.2%
Quartile 4 (Highest) 62.1% 33.5%

Source: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2010.

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Figure 9.9. Race, ethnicity, and income of patients receiving care in an HSHC, United States, 2012

Race / Ethnicity / Income Percent
White 65.6
Black 24.2
Asian 3.5
NHOPI 1.3
AI/AN 1.5
> 1 Race 4.1
Hispanic 34.4
Non-Hispanic 65.6
Language Other Than English 22.9
Income ≤ 100% Poverty Level 71.9
Income 101-150% Poverty Level 14.2
Income 151-200% Poverty Level 6.5
Income > 200% Poverty Level 7.4

Key: AI/AN: American Indian or Alaska Native; NHOPI = Native Hawaiian or Other Pacific Islander.
Source: Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2012.
Note: Racial groups shown are non-Hispanic. Data were obtained from 1,128 Section 330 grantees. Income shown only includes known income. Income for nearly 23% of patients is unknown.

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Figure 9.10. Ethnicity of the patients served by community health centers, Hawaii, 2010

Ethnicity Percent
NHOPI 44
Caucasian 25
Asian 18
Others 13

Source: Hawaii Primary Care Association, Community health centers in Hawaii, 2010.

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Figure 9.11. Medicaid and uninsured discharges, by facility characteristics, U.S. short-term acute hospitals, 2011

Facility Characteristic Percent
Total 25.0
<100 Beds 22.4
100-299 Beds 22.8
300-499 Beds 25.5
500+ Beds 28.5
Government 35.4
Private Nonprofit 23.4
Private Investor Owned 25.0
Teaching 27.3
Nonteaching 22.8
Northeast 23.5
Midwest 22.7
South 26.1
West 26.9
Metropolitan 25.5
Nonmetroplitan 24.9

Source: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, HCUPnet, 2011. Available at http://hcupnet.ahrq.gov/.

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Page last reviewed May 2014
Page originally created May 2014
Internet Citation: Chapter 9: Text Descriptions. Content last reviewed May 2014. Agency for Healthcare Research and Quality, Rockville, MD. https://archive.ahrq.gov/research/findings/nhqrdr/nhdr13/chap9-txt.html

 

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