National Healthcare Quality Report, 2013
Chapter 9: Text Descriptions
Figure 9.1. Electronic health record use in hospitals, by bed size and geographic region, 2011
| Fully Implemented | Medication Lists | Drug Decision Support | CPOE of Medications | Pharmaceutical Bar Coding | |
|---|---|---|---|---|---|
| Northeast | 18.3% | 45.0% | 64.9% | 55.1% | 41.1% |
| Midwest | 36.8% | 47.5% | 64.6% | 50.7% | 47.9% |
| South | 27.2% | 38.8% | 60.8% | 43.8% | 47.9% |
| West | 29.3% | 44.8% | 57.4% | 47.7% | 41.5% |
| < 100 Beds | 25.8% | 36.3% | 49.2% | 40.6% | 34.8% |
| 100-399 | 30.5% | 48.7% | 72.3% | 51.8% | 56.3% |
| 400 or more | 44.0% | 57.5% | 84.0% | 72.0% | 61% |
Key: CPOE = computerized provider order entry.
Source: American Hospital Association Annual Survey, 2011 Information Technology Supplement.
Note: Data were obtained from an average of 3,360 hospitals.
Figure 9.2. Office-based physicians with an electronic health record system, by physician age and practice size, 2012
| Overall | |
|---|---|
| Total | 71.8% |
| <35 | 83.8% |
| 35-44 | 81.1% |
| 45-54 | 76.5% |
| ≥55 | 62.8% |
| 1-2 Physicians | 58.3% |
| 3-5 Physicians | 71.9% |
| 6-10 Physicians | 80.9% |
| ≥11 Physicians | 89.5% |
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, excluding radiologists, anesthesiologists, and pathologists.
Figure 9.3. Office-based physicians with a computerized system for ordering prescriptions, by physician age and practice size, 2009-2012
| 2009 | 2010 | 2011 | 2012 | |
|---|---|---|---|---|
| Total | 42.7% | 57.4% | 64.8% | 79.5% |
| <35 | 60.5% | 78.8% | 83.5% | 85.8% |
| 35-44 | 49.3% | 67.9% | 76.4% | 85.2% |
| 45-54 | 45.3% | 58.3% | 67.8% | 84.4% |
| ≥55 | 35.1% | 49.3% | 56.0% | 72.6% |
| 1-2 Physicians | 28.3% | 40.6% | 48.9% | 69.1% |
| 3-5 Physicians | 46.6% | 63.0% | 67.0% | 78.8% |
| 6-10 Physicians | 49.6% | 71.5% | 73.9% | 87.8% |
| ≥11 Physicians | 70.8% | 80.0% | 88.1% | 93.3% |
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, excluding radiologists, anesthesiologists, and pathologists.
Figure 9.4. Office-based physicians with a computerized system for sending prescriptions electronically to pharmacies, by physician age and practice size, 2009-2010 and 2012
| 2009 | 2010 | 2012 | |
|---|---|---|---|
| Total | 33.0% | 46.0% | 73.3% |
| <35 | 53.4% | 72.8% | 81.3% |
| 35-44 | 37.5% | 55.6% | 78.1% |
| 45-54 | 35.4% | 46.8% | 78.3% |
| 55+ | 27.0% | 38.8% | 66.6% |
| 1-2 Physicians | 21.4% | 28.1% | 62.4% |
| 3-5 Physicians | 36.7% | 52.8% | 72.7% |
| 6-10 Physicians | 36.6% | 60.7% | 81.3% |
| ≥11 Physicians | 57.6% | 69.6% | 88.0% |
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, excluding radiologists, anesthesiologists, and pathologists.
Note: The 2011 data were unavailable.
Figure 9.5. Office-based physicians with an e-prescribing system with a component for providing warnings of drug interactions or contraindications, by physician age and practice size, 2009-2010 and 2012
| 2009 | 2010 | 2012 | |
|---|---|---|---|
| Total | 37.3% | 46.6% | 66.5% |
| <35 | 56.2% | 75.6% | 74.8% |
| 35-44 | 44.2% | 58.7% | 71.7% |
| 45-54 | 40.5% | 48.1% | 72.3% |
| ≥55 | 28.9% | 37.3% | 59.2% |
| 1-2 Physicians | 23.2% | 28.7% | 56.5% |
| 3-5 Physicians | 41.4% | 50.8% | 66.0% |
| 6-10 Physicians | 42.3% | 62% | 73.4% |
| ≥11 Physicians | 66.3% | 74.5% | 80.6% |
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, excluding radiologists, anesthesiologists, and pathologists.
Note: The 2011 data were not available.
Figure 9.6. Rates of active non-Federal nurse practitioners per 100,000 population, by State quartiles, 2011
| First (Lowest) Quartile | Second Quartile | Third Quartile | Fourth (Highest) Quartile | DSU | |||
|---|---|---|---|---|---|---|---|
| California | Connecticut | Arizona | Colorado | Alabama | Louisiana | North Dakota | West Virginia |
| Illinois | Missouri | Florida | Kansas | Alaska | Maine | Oklahoma | Wyoming |
| Michigan | Ohio | Georgia | Maryland | Arkansas | Mississippi | Puerto Rico | NA |
| New Jersey | Pennsylvania | Indiana | Massachusetts | Delaware | Montana | Rhode Island | NA |
| Texas | Wisconsin | Kentucky | New York | District of Columbia | Nebraska | South Carolina | NA |
| Washington | NA | Minnesota | Oregon | Hawaii | Nevada | South Dakota | NA |
| NA | NA | North Carolina | Tennessee | Idaho | New Hampshire | Utah | NA |
| NA | NA | NA | Virginia | Iowa | New Mexico | Vermont | NA |
Key: DSU = data statistically unreliable.
Source: U.S. Census Bureau, American Community Survey, 2011.
Figure 9.7. Rates of active non-Federal physician assistants, by State quartiles, 2011
| First (Lowest) Quartile | Second Quartile | Third Quartile | Fourth (Highest) Quartile | DSU | ||||
|---|---|---|---|---|---|---|---|---|
| California | Arizona | Georgia | Colorado | Alabama | Idaho | Mississippi | New Mexico | South Dakota |
| Illinois | Massachusetts | Kentucky | Connecticut | Alaska | Indiana | Missouri | North Dakota | Utah |
| New Jersey | Texas | Maryland | Florida | Arkansas | Iowa | Montana | Oklahoma | Vermont |
| Ohio | Washington | Michigan | New York | Delaware | Kansas | Nebraska | Oregon | West Virginia |
| Tennessee | Wisconsin | Minnesota | North Carolina | District of Columbia | Louisiana | Nevada | Rhode Island | Wyoming |
| NA | NA | Virginia | Pennsylvania | Hawaii | Maine | New Hampshire | South Carolina | Puerto Rico |
Key: DSU = data statistically unreliable.
Source: U.S. Census Bureau, American Community Survey, 2011.
Figure 9.8. Distribution of trauma center utilization for severe injuries in the United States, by age and geographic location, 2010
| Trauma Level I & II | Nontrauma | |
|---|---|---|
| Total | 64.0% | 29.6% |
| 0-24 | 72.9% | 20.8% |
| 25-44 | 75.7% | 19.2% |
| 45-64 | 69.0% | 24.7% |
| 65+ | 50.8% | 42.1% |
| Large Central MSA | 70.5% | 27.6% |
| Large Fringe MSA | 65.7% | 31.6% |
| Medium MSA | 69.1% | 26.6% |
| Small MSA | 48.9% | 25.7% |
| Micropolitan | 56.3% | 34.4% |
| Nonmetropolitan | 56.4% | 36.7% |
Key: MSA = metropolitan statistical area.
Source: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2010.
Figure 9.9. Characteristics of HSHC patients, by age, sex, and insurance status, 2012
| Percent | |
|---|---|
| ≤24 | 41.8 |
| 25-64 | 51.1 |
| 65+ | 7.2 |
| Male | 41.3 |
| Female | 58.7 |
| Private | 14.0 |
| Medicare | 8.0 |
| Medicaid/CHIP | 40.8 |
| Other Public | 2.3 |
| Uninsured | 36.0 |
Key: CHIP = Children's Health Insurance Program.
Source: Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2012.
Note: Data were obtained from 1,128 Section 330 grantees.
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