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<h1 class="page__title title" id="page-title">National Healthcare Disparities Report, 2013</h1> <h2>Chapter 9: Text Descriptions</h2><div id="block-book-helper-book-helper-inline-navigation" class="block block-book-helper first odd">
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<div class="view-header">
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<h3>Table of Contents</h3>
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</div>
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<div class="view-content">
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<div>
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<div class="views-field views-field-title"><span class="field-content"><a href="/research/findings/nhqrdr/nhdr13/index.html" title="National Healthcare Disparities Report, 2013">National Healthcare Disparities Report, 2013</a></span></div> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/acknow.html" title="Acknowledgments">Acknowledgments</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/highlights.html" title="Highlights from the 2013 National Healthcare Quality and Disparities Reports">Highlights from the 2013 National Healthcare Quality and Disparities Reports</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap1.html" title="Chapter 1. Introduction and Methods">Chapter 1. Introduction and Methods</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap2.html" title="Chapter 2. Effectiveness of Care for Common Clinical Conditions">Chapter 2. Effectiveness of Care for Common Clinical Conditions</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap3.html" title="Chapter 3. Effectiveness of Care Across the Lifespan">Chapter 3. Effectiveness of Care Across the Lifespan</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap4.html" title="Chapter 4. Patient Safety">Chapter 4. Patient Safety</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap5.html" title="Chapter 5. Timeliness">Chapter 5. Timeliness</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap6.html" title="Chapter 6. Patient Centeredness">Chapter 6. Patient Centeredness</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap7.html" title="Chapter 7. Care Coordination">Chapter 7. Care Coordination</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap8.html" title="Chapter 8. Efficiency">Chapter 8. Efficiency</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap9.html" title="Chapter 9. Health System Infrastructure">Chapter 9. Health System Infrastructure</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap10.html" title="Chapter 10. Access to Health Care">Chapter 10. Access to Health Care</a> </div>
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<div>
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<a href="/research/findings/nhqrdr/nhdr13/chap11.html" title="Chapter 11. Priority Populations">Chapter 11. Priority Populations</a> </div>
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</div>
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</div> </div>
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</div>
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</div>
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<div class="field field-name-ahrq-generic-body field-type-text-long field-label-hidden"><div class="field-items"><div class="field-item even"><h4><a id="fig91" name="fig91"> </a>Figure 9.1. Electronic health record use in hospitals, by hospital control and hospital type, 2011</h4>
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<table border="1" cellpadding="3" cellspacing="1" width="95%">
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<tbody>
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<tr>
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<th scope="col">Hospital Type</th>
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<th scope="col">Fully Implemented</th>
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<th scope="col">Medication Lists</th>
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<th scope="col">Drug Decision Support</th>
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<th scope="col">CPOE of Medications</th>
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<th scope="col">Pharmaceutical Bar Coding</th>
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</tr>
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<tr>
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<td scope="row">Government Non-Federal</td>
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<td>23.7%</td>
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<td>38.5%</td>
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<td>52.2%</td>
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<td>43.9%</td>
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<td>36.6%</td>
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</tr>
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<tr>
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<td scope="row">Nongovernment Not for Profit</td>
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<td>34.5%</td>
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<td>50.2%</td>
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<td>71.6%</td>
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<td>55.3%</td>
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<td>52.4%</td>
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</tr>
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<tr>
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<td scope="row">Investor Owned For Profit</td>
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<td>15.2%</td>
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<td>22.9%</td>
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<td>40.5%</td>
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<td>25.4%</td>
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<td>33.2%</td>
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</tr>
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<tr>
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<td scope="row">Government Federal</td>
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<td>80.3%</td>
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<td>81.1%</td>
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<td>97.6%</td>
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<td>92.8%</td>
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<td>79.5%</td>
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</tr>
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<tr>
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<td scope="row">General Medical & Surgical</td>
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<td>31.4%</td>
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<td>47.2%</td>
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<td>66.7%</td>
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<td>50.6%</td>
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<td>50.0%</td>
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</tr>
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<tr>
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<td scope="row">Psychiatric</td>
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<td>12.2%</td>
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<td>12.1%</td>
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<td>26.4%</td>
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<td>28.2%</td>
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<td>13.2%</td>
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</tr>
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<tr>
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<td scope="row">Rehabilitation</td>
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<td>18.8%</td>
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<td>20.4%</td>
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<td>27.5%</td>
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<td>28.8%</td>
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<td>29.7%</td>
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</tr>
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<tr>
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<td scope="row">Children's General</td>
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<td>47.3%</td>
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<td>73.6%</td>
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<td>76.6%</td>
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<td>76.9%</td>
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<td>53.1%</td>
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</tr>
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<tr>
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<td scope="row">Acute Long-Term Care</td>
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<td>20.2%</td>
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<td>17.4%</td>
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<td>34.1%</td>
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<td>31.1%</td>
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<td>23.3%</td>
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</tr>
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</tbody>
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</table>
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<p><strong>Key:</strong> CPOE = computerized provider order entry.<br />
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<strong>Source:</strong> American Hospital Association, 2011 Annual Survey Information Technology Supplement.<br />
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<strong>Note: </strong>Data were obtained from an average of 3,414 hospitals.</p>
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<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig91">Return to Document</a></p>
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<h4><a id="fig92" name="fig92"> </a>Figure 9.2. Office-based physicians with an electronic health record system, by region, metropolitan status, and specialty, 2012</h4>
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<table border="1" cellpadding="3" cellspacing="1" width="95%">
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<tbody>
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<tr>
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<th scope="col">Region / Metropolitan Status / Specialty</th>
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<th scope="col">Percent</th>
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</tr>
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<tr>
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<td scope="row">Total</td>
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<td>71.8</td>
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</tr>
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<tr>
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<td scope="row">Northeast</td>
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<td>70.2</td>
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</tr>
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<tr>
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<td scope="row">Midwest</td>
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<td>71.0</td>
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</tr>
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<tr>
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<td scope="row">South</td>
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<td>68.6</td>
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</tr>
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<tr>
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<td scope="row">West</td>
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<td>78.9</td>
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</tr>
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<tr>
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<td scope="row">MSA</td>
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<td>72.0</td>
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</tr>
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<tr>
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<td scope="row">Non-MSA</td>
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<td>69.5</td>
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</tr>
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<tr>
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<td scope="row">Primary Care</td>
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<td>74.9</td>
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</tr>
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<tr>
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<td scope="row">Surgical</td>
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<td>66.5</td>
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</tr>
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<tr>
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<td scope="row">Medical</td>
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<td>70.7</td>
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</tr>
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</tbody>
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</table>
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<p><strong>Key:</strong> MSA = metropolitan statistical area.<br />
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<strong>Source:</strong> Centers for Disease Control and Prevention, National Center for Health Statistics, National Ambulatory Medical Care Survey (NAMCS), 2012 NAMCS National Electronic Health Records Survey.<br />
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<strong>Denominator:</strong> Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.</p>
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<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig92">Return to Document</a></p>
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<h4><a id="fig93" name="fig93"> </a>Figure 9.3. Office-based physicians with a computerized system for ordering prescriptions, by region and specialty, 2009-2012</h4>
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<table border="1" cellpadding="3" cellspacing="1" width="95%">
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<tbody>
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<tr>
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<th scope="col">Region / Specialty</th>
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<th scope="col">2009</th>
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<th scope="col">2010</th>
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<th scope="col">2011</th>
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<th scope="col">2012</th>
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</tr>
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<tr>
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<td scope="row">Northeast</td>
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<td>42.5%</td>
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<td>53.8%</td>
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<td>64.8%</td>
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<td>81.3%</td>
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</tr>
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<tr>
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<td scope="row">Midwest</td>
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<td>41.1%</td>
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<td>63.5%</td>
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<td>66.9%</td>
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<td>80.3%</td>
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</tr>
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<tr>
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<td scope="row">South</td>
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<td>39.0%</td>
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<td>53.4%</td>
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<td>62.2%</td>
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<td>77.1%</td>
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</tr>
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<tr>
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<td scope="row">West</td>
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<td>49.2%</td>
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<td>61.3%</td>
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<td>66.8%</td>
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<td>80.7%</td>
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</tr>
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<tr>
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<td scope="row">Total</td>
|
|
<td>42.7%</td>
|
|
<td>57.4%</td>
|
|
<td>64.8%</td>
|
|
<td>79.5%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Primary Care</td>
|
|
<td>46.0%</td>
|
|
<td>61.4%</td>
|
|
<td>70.0%</td>
|
|
<td>81.4%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Surgical</td>
|
|
<td>35.9%</td>
|
|
<td>49.5%</td>
|
|
<td>62.7%</td>
|
|
<td>78.9%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Medical</td>
|
|
<td>40.3%</td>
|
|
<td>55.6%</td>
|
|
<td>58.4%</td>
|
|
<td>76.9%</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> 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.<br />
|
|
<strong>Denominator:</strong> Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig93">Return to Document</a></p>
|
|
<h4><a id="fig94" name="fig94"> </a>Figure 9.4. Office-based physicians with a computerized system for sending prescriptions electronically to pharmacies, by region and specialty, 2009-2010 and 2012</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Region / Specialty</th>
|
|
<th scope="col">2009</th>
|
|
<th scope="col">2010</th>
|
|
<th scope="col">2012</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Northeast</td>
|
|
<td>33.0%</td>
|
|
<td>45.1%</td>
|
|
<td>76.1%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Midwest</td>
|
|
<td>33.2%</td>
|
|
<td>53.7%</td>
|
|
<td>75.6%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">South</td>
|
|
<td>27.4%</td>
|
|
<td>40.2%</td>
|
|
<td>70.1%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">West</td>
|
|
<td>40.8%</td>
|
|
<td>48.2%</td>
|
|
<td>73.2%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Total</td>
|
|
<td>33.0%</td>
|
|
<td>46.0%</td>
|
|
<td>73.3%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Primary Care</td>
|
|
<td>38.4%</td>
|
|
<td>51.3%</td>
|
|
<td>75.7%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Surgical Care</td>
|
|
<td>24.4%</td>
|
|
<td>37.9%</td>
|
|
<td>72.9%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Medical Care</td>
|
|
<td>28.8%</td>
|
|
<td>42.6%</td>
|
|
<td>69.5%</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> 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.<br />
|
|
<strong>Denominator:</strong> Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.<br />
|
|
<strong>Note: </strong>The 2011 data not available.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig94">Return to Document</a></p>
|
|
<h4><a id="fig95" name="fig95"> </a>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</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Region / Specialty</th>
|
|
<th scope="col">2009</th>
|
|
<th scope="col">2010</th>
|
|
<th scope="col">2012</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Northeast</td>
|
|
<td>36.5%</td>
|
|
<td>45.0%</td>
|
|
<td>70.2%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Midwest</td>
|
|
<td>36.2%</td>
|
|
<td>54.9%</td>
|
|
<td>68.5%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">South</td>
|
|
<td>33.7%</td>
|
|
<td>40.7%</td>
|
|
<td>62.2%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">West</td>
|
|
<td>43.7%</td>
|
|
<td>48.8%</td>
|
|
<td>67.7%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Total</td>
|
|
<td>37.3%</td>
|
|
<td>46.6%</td>
|
|
<td>66.5%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Primary Care</td>
|
|
<td>40.2%</td>
|
|
<td>52.9%</td>
|
|
<td>71.9%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Surgical</td>
|
|
<td>31.4%</td>
|
|
<td>37.4%</td>
|
|
<td>59.6%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Medical</td>
|
|
<td>34.7%</td>
|
|
<td>41.9%</td>
|
|
<td>63.0%</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> 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.<br />
|
|
<strong>Denominator:</strong> Non-federally employed physicians who provide direct patient care in the 50 states and the District of Columbia; excludes radiologists, anesthesiologists, and pathologists.<br />
|
|
<strong>Note: </strong>The 2011 data not available</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig95">Return to Document</a></p>
|
|
<h4><a id="fig96" name="fig96"> </a>Figure 9.6. Rate of nurse practitioners per 100,000 population, by race and ethnicity, 2010-2011</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Year</th>
|
|
<th scope="col">White</th>
|
|
<th scope="col">Black</th>
|
|
<th scope="col">Asian</th>
|
|
<th scope="col">Total</th>
|
|
<th scope="col">Non-Hispanic White</th>
|
|
<th scope="col">Hispanic</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2010</td>
|
|
<td>40.5</td>
|
|
<td>9.2</td>
|
|
<td>22.2</td>
|
|
<td>32.8</td>
|
|
<td>45.1</td>
|
|
<td>9.3</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2011</td>
|
|
<td>37.4</td>
|
|
<td>14.0</td>
|
|
<td>26.8</td>
|
|
<td>31.2</td>
|
|
<td>42.0</td>
|
|
<td>7.1</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> U.S. Census Bureau, American Community Survey, 2010-2011.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig96">Return to Document</a></p>
|
|
<h4><a id="fig97" name="fig97"> </a>Figure 9.7. Rate of physician assistants per 100,000 population, by race and ethnicity, 2006-2011</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Year</th>
|
|
<th scope="col">White</th>
|
|
<th scope="col">Black</th>
|
|
<th scope="col">Asian</th>
|
|
<th scope="col">>1 Race</th>
|
|
<th scope="col">Total</th>
|
|
<th scope="col">Non-Hispanic White</th>
|
|
<th scope="col">Hispanic</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2006</td>
|
|
<td>40.1</td>
|
|
<td>27.5</td>
|
|
<td>65.7</td>
|
|
<td>16.7</td>
|
|
<td>37.8</td>
|
|
<td>40.8</td>
|
|
<td>28.0</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2007</td>
|
|
<td>40.1</td>
|
|
<td>24.7</td>
|
|
<td>47.4</td>
|
|
<td>15.8</td>
|
|
<td>36.3</td>
|
|
<td>42.1</td>
|
|
<td>20.0</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2008</td>
|
|
<td>29.3</td>
|
|
<td>20.3</td>
|
|
<td>38.9</td>
|
|
<td>18.2</td>
|
|
<td>27.2</td>
|
|
<td>31.4</td>
|
|
<td>12.9</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2009</td>
|
|
<td>41.0</td>
|
|
<td>24.6</td>
|
|
<td>67.8</td>
|
|
<td>28.8</td>
|
|
<td>38.8</td>
|
|
<td>43.2</td>
|
|
<td>23.8</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2010</td>
|
|
<td>43.6</td>
|
|
<td>21.6</td>
|
|
<td>52.4</td>
|
|
<td>33.7</td>
|
|
<td>39.6</td>
|
|
<td>46.2</td>
|
|
<td>23.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">2011</td>
|
|
<td>46.5</td>
|
|
<td>25.6</td>
|
|
<td>57.4</td>
|
|
<td>40.7</td>
|
|
<td>42.7</td>
|
|
<td>49.1</td>
|
|
<td>26.6</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> U.S. Census, American Community Survey, 2006-2011.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig97">Return to Document</a></p>
|
|
<h4><a id="fig98" name="fig98"> </a>Figure 9.8. Distribution of trauma center utilization for severe injuries in the United States, by sex and area income, 2010</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Sex / Area Income</th>
|
|
<th scope="col">Trauma Level I & II</th>
|
|
<th scope="col">Nontrauma</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Total</td>
|
|
<td>64.0%</td>
|
|
<td>29.6%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Male</td>
|
|
<td>67.2%</td>
|
|
<td>26.5%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Female</td>
|
|
<td>58.2%</td>
|
|
<td>35.1%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Quartile 1 (Lowest)</td>
|
|
<td>65.6%</td>
|
|
<td>27.6%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Quartile 2</td>
|
|
<td>63.1%</td>
|
|
<td>28.9%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Quartile 3</td>
|
|
<td>63.9%</td>
|
|
<td>30.2%</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Quartile 4 (Highest)</td>
|
|
<td>62.1%</td>
|
|
<td>33.5%</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, Nationwide Emergency Department Sample, 2010.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig98">Return to Document</a></p>
|
|
<h4><a id="fig99" name="fig99"> </a>Figure 9.9. Race, ethnicity, and income of patients receiving care in an HSHC, United States, 2012</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Race / Ethnicity / Income</th>
|
|
<th scope="col">Percent</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">White</td>
|
|
<td>65.6</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Black</td>
|
|
<td>24.2</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Asian</td>
|
|
<td>3.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">NHOPI</td>
|
|
<td>1.3</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">AI/AN</td>
|
|
<td>1.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">> 1 Race</td>
|
|
<td>4.1</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Hispanic</td>
|
|
<td>34.4</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Non-Hispanic</td>
|
|
<td>65.6</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Language Other Than English</td>
|
|
<td>22.9</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Income ≤ 100% Poverty Level</td>
|
|
<td>71.9</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Income 101-150% Poverty Level</td>
|
|
<td>14.2</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Income 151-200% Poverty Level</td>
|
|
<td>6.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Income > 200% Poverty Level</td>
|
|
<td>7.4</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Key:</strong> AI/AN: American Indian or Alaska Native; NHOPI = Native Hawaiian or Other Pacific Islander.<br />
|
|
<strong>Source:</strong> Health Resources and Services Administration, Bureau of Primary Health Care, Uniform Data System, 2012.<br />
|
|
<strong>Note: </strong>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.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig99">Return to Document</a></p>
|
|
<h4><a id="fig910" name="fig910"> </a>Figure 9.10. Ethnicity of the patients served by community health centers, Hawaii, 2010</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Ethnicity</th>
|
|
<th scope="col">Percent</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">NHOPI</td>
|
|
<td>44</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Caucasian</td>
|
|
<td>25</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Asian</td>
|
|
<td>18</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Others</td>
|
|
<td>13</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><strong>Source:</strong> Hawaii Primary Care Association, Community health centers in Hawaii, 2010.</p>
|
|
<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig910">Return to Document</a></p>
|
|
<h4><a id="fig911" name="fig911"> </a>Figure 9.11. Medicaid and uninsured discharges, by facility characteristics, U.S. short-term acute hospitals, 2011</h4>
|
|
<table border="1" cellpadding="3" cellspacing="1" width="95%">
|
|
<tbody>
|
|
<tr>
|
|
<th scope="col">Facility Characteristic</th>
|
|
<th scope="col">Percent</th>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Total</td>
|
|
<td>25.0</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row"><100 Beds</td>
|
|
<td>22.4</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">100-299 Beds</td>
|
|
<td>22.8</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">300-499 Beds</td>
|
|
<td>25.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">500+ Beds</td>
|
|
<td>28.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Government</td>
|
|
<td>35.4</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Private Nonprofit</td>
|
|
<td>23.4</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Private Investor Owned</td>
|
|
<td>25.0</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Teaching</td>
|
|
<td>27.3</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Nonteaching</td>
|
|
<td>22.8</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Northeast</td>
|
|
<td>23.5</td>
|
|
</tr>
|
|
<tr>
|
|
<td scope="row">Midwest</td>
|
|
<td>22.7</td>
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</tr>
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<tr>
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<td scope="row">South</td>
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<td>26.1</td>
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</tr>
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<tr>
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<td scope="row">West</td>
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<td>26.9</td>
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</tr>
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<tr>
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<td scope="row">Metropolitan</td>
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<td>25.5</td>
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</tr>
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<tr>
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<td scope="row">Nonmetroplitan</td>
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<td>24.9</td>
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</tr>
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</tbody>
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</table>
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<p><strong>Source:</strong> Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, HCUPnet, 2011. Available at <a href="http://hcupnet.ahrq.gov/">http://hcupnet.ahrq.gov/</a>.</p>
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<p><a href="/research/findings/nhqrdr/nhdr13/chap9.html#fig911">Return to Document</a></p>
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Page last reviewed <span class="date-display-single" property="dc:date" datatype="xsd:dateTime" content="2014-05-01T00:00:00-04:00">May 2014</span> <br />Page originally created May 2014 </div>
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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<div class="citation-flag"></div>
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