2012 National Healthcare Disparities Report

Chapter 8, Text Descriptions for Figures

Figure 8.1. Electronic medical record use in hospitals, by hospital control and hospital type, 2010

Hospital ControlPatient DemographicsPhysician NotesNursing AssessmentsProblem ListsMedication ListsDischarge SummariesAdvance Directives
Total82.5255339.658.25353
Government, Non-Federal74.420.8443447.343.143
Nongovernment, Not for Profit9027.360.343.666.359.861.1
Investor Owned, For Profit6512.633.325.839.237.133.9
"Government, Federal"92.891.488.588.491.491.478.2

 

Hospital TypePatient DemographicsPhysician NotesNursing AssessmentsProblem ListsMedication ListsDischarge SummariesAdvance Directives
General Medical & Surgical85.524.856.341.160.655.457.4
Psychiatric64.826.327.928.437.63215
Rehabilitation5920.430.123.139.738.228
Children's General904562.5607571.766.6
Acute Long-Term Care53.721.53023.741.23530

Source: American Hospital Association, 2010 Information Technology Supplement.

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Figure 8.2. Electronic health record use in physician offices, by ownership and specialty, 2011

Ownership / SpecialtyOverall
Physician Owned50
HMO100
Community Health Center74
Academic Health Center70
Primary Care58
Surgical48
Medical55

Key: HMO = health maintenance organization.
Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey, 2011 Electronic Medical Record Mail Survey Supplement.

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Figure 8.3. Electronic health record use in physician offices, by ethnicity of population, metropolitan status, and specialty, 2011

EthnicityDemographic InformationClinical NotesPrescription OrderingClinical Decision SupportClinical Reminders
<50% Non-Hispanic White68.658.951.625.134.5
50-69% Non-Hispanic White74.56156.927.237.4
70-79% Non-Hispanic White74.562.862.228.541.8
80% or More Non-Hispanic White77.767.76132.441.1

 

Metropolitan Status / SpecialityDemographic InformationClinical NotesPrescription OrderingClinical Decision SupportClinical Reminders
MSA73.36257.528.237.9
Non-MSA77.666.856.32841.7
Primary Care76.865.161.436.446.9
Surgical72.857.449.51829
Medical706255.620.729.3

Source: Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey, 2011 Electronic Medical Record Mail Survey Supplement.

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Figure 8.4. Electronic health record use in federally funded health centers, 2011

Electronic Health Record (EHR) UsePercent
EHR Installed79.6
Patient History & Demographics99.8
Clinical Notes99.6
CPOE for Lab Test97.1
CPOE for Radiology Test76.4
Electronic Entry of Prescriptions98.8
Intervention & Screening Reminders93.9

Key: CPOE = computerized provider order entry.
Source: Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2011.

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Figure 8.5. Rate of physicians and surgeons per 100,000 population, by race and ethnicity, 2006-2010

YearWhiteBlackAsianAI/AN>1 Race
2006287113122880179
2007294118120596174
20082991211163 168
2009291114115460139
2010290115115583208

 

YearNon-Hispanic WhiteHispanic
2006302113
2007312101
2008323112
2009313109
2010317105

Key: AI/AN: American Indian or Alaska Native.
Source: U.S. Census, American Community Survey.
Note: Data for AI/ANs om 2008 did not meet criteria for statistical reliability, data quality, or confidentiality.

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Figure 8.6. Trauma center utilization for severe injuries in the United States, by gender and income, 2009

Gender / IncomeTrauma Level I & IITrauma Level IIINontrauma
Male64.07.728.4
Female54838
1st Quartile (Lowest Income)60.98.530.6
2nd Quartile58.89.232.1
3rd Quartile58.88.332.9
4th Quartile (Highest Income)63.74.531.8

Source: Agency for Healthcare Research and Quality, Healthcare Utilization Project, Nationwide Emergency Department Sample, 2009.

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Figure 8.7. Race, ethnicity, and income of patients receiving care in an HSHC, United States, 2011

Race / Ethnicity / IncomePercentage
White64.8
Black25.2
Asian3.4
Native Hawaiian0.3
Pacific Islander0.9
AI/AN1.5
>1 Race3.9
Hispanic34.5
Non-Hispanic65.5
Language Other Than English23
Income 0-100% Poverty Level71.8
Income 101-150% Poverty Level14.1
Income 151-200% Poverty Level6.6
Income >200% Poverty Level7.5

Key: AI/AN: American Indian or Alaska Native.
Source: Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2011.
Note: Racial groups shown are non-Hispanic. Data were obtained from 1,128 Section 330g grantee recipients. Income shown only includes known income. Nearly 23% of patient income is unknown.

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Figure 8.8. HSHC patients with hypertension or diabetes whose symptoms are controlled, by race, 2011

RaceControlled HypertensionControlled Diabetes
White65.541.3
Black56.738.5
Asian70.845.1
Native Hawaiian60.132.8
Pacific Islander64.825.6
AI/AN60.236
>1 Race64.236.9

Source: Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2011.
Note: Racial groups shown are non-Hispanic. Data were obtained from 1,128 Section 330g grantee recipients. Patients with hypertension include those ages 18-85. Hypertension is determined to be controlled if the patient's last blood pressure reading was less than 140/90 mm Hg. Patients with diabetes include those ages 18-75. Diabetes is determined to be controlled if the patient's most recent hemoglobin A1c level was 7% or less.

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Figure 8.9. Medicaid and uninsured discharges, by facility characteristics, U.S. short-term acute hospitals, 2010

Facility CharacteristicsPercentage
<100 Beds23.1
100-299 Beds24.5
300-499 Beds29.2
500+ Beds30.3
Government38.3
Private, Nonprofit24.8
Private, Investor Owned28.3
Teaching30.6
Nonteaching24
Northeast26.3
Midwest23.7
South29.1
West28.4
Metropolitan27.4
Nonmetroplitan25.8

Source: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, HCUPnet, 2010. Available at http://hcupnet.ahrq.gov/.

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Page last reviewed May 2013
Internet Citation: 2012 National Healthcare Disparities Report: Chapter 8, Text Descriptions for Figures. May 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/research/findings/nhqrdr/nhdr12/chap8-text.html