<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8704773</journal-id><journal-id journal-id-type="pubmed-jr-id">1656</journal-id><journal-id journal-id-type="nlm-ta">Am J Prev Med</journal-id><journal-id journal-id-type="iso-abbrev">Am J Prev Med</journal-id><journal-title-group><journal-title>American journal of preventive medicine</journal-title></journal-title-group><issn pub-type="ppub">0749-3797</issn><issn pub-type="epub">1873-2607</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38307158</article-id><article-id pub-id-type="pmc">11331417</article-id><article-id pub-id-type="doi">10.1016/j.amepre.2024.01.013</article-id><article-id pub-id-type="manuscript">HHSPA2016882</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Urban&#x02013;Rural Differences in Opioid Dispensing, U.S., 2019&#x02013;2021</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Schieber</surname><given-names>Lyna Z.</given-names></name><degrees>MD, DPhil</degrees></contrib><contrib contrib-type="author"><name><surname>Rikard</surname><given-names>S. Michaela</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Strahan</surname><given-names>Andrea E.</given-names></name><degrees>PhD, MPP</degrees></contrib><contrib contrib-type="author"><name><surname>Losby</surname><given-names>Jan L.</given-names></name><degrees>PhD, MSW</degrees></contrib><contrib contrib-type="author"><name><surname>Guy</surname><given-names>Gery P.</given-names><suffix>Jr</suffix></name><degrees>PhD, MPH</degrees></contrib><aff id="A1">Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia</aff></contrib-group><author-notes><corresp id="CR1">Address correspondence to: Lyna Z. Schieber, MD, DPhil, Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, 4770 Buford Highway, Mail-stop S106-8, Atlanta GA 30341. <email>chn6@cdc.gov</email>.</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>15</day><month>8</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>6</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>01</day><month>2</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>6</month><year>2025</year></pub-date><volume>66</volume><issue>6</issue><fpage>1071</fpage><lpage>1074</lpage></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P1">In 2021, over 80,000 people in the U.S. died of an overdose involving an opioid, nearly one fifth of which were prescribed.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Although opioid dispensing rates have declined since 2012, differences persist among states and counties.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> Urban&#x02013;rural differences in opioid dispensing were assessed between 2019 and 2021.</p></sec><sec id="S2"><title>METHODS</title><p id="P2">IQVIA Xponent data, representing 93% of U.S. retail prescriptions projected to national estimates, were used to calculate five annual opioid dispensing measures between 2019 and 2021 at the national and county levels: morphine milligram equivalents (MMEs) per person, average daily MME per prescription, overall opioid dispensing rate, dispensing rate of opioid prescriptions filled in high dosage (&#x02265;50 MME/day), and average days supply per prescription. To compute MME per person, total MME was divided by population estimates. Dispensing rates were calculated per 100 persons. Annual population estimates were obtained from the U.S. Census Bureau and included individuals of all ages.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R5" ref-type="bibr">5</xref></sup> A positive or negative change of any metric by &#x02265;10% between 2019 and 2021 was considered an increase or decrease, respectively.</p><p id="P3">Metropolitan classification of counties in the U.S. was determined by population size using county location of the provider. Three levels examined were metropolitan (&#x02265;50,000 people), micropolitan (10,000&#x02013;49,999 people), and noncore (&#x0003c;10,000 people).<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Differences in dispensing among metropolitan levels were computed using absolute difference between the 90<sup>th</sup> and 10<sup>th</sup> percentiles and their relative ratio.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> Because records contained no identifying information, this study was determined to be exempt from review by the Centers for Disease Control and Prevention IRB. Analyses were conducted using SAS, Version 9.4 (SAS Institute Inc.).</p></sec><sec id="S3"><title>RESULTS</title><p id="P4">Nationally, all five measures of opioid dispensing decreased, with high-dosage opioid dispensing decreasing the most (&#x02212;17.4%) and average days of supply decreasing the least (&#x02212;0.7%). Changes varied substantially over time according to metropolitan level (<xref rid="T1" ref-type="table">Table 1</xref> and <xref rid="SD1" ref-type="supplementary-material">Appendix Figure 1</xref>, available online). For example, the ratio of counties with decreased versus increased MME per person across this period was only 1.6 among noncore counties compared with 4.3 among metropolitan and 2.6 among micropolitan counties (<xref rid="T1" ref-type="table">Table 1</xref>). Noncore counties experienced the lowest MME per person and opioid dispensing rates. All 5 measures within each metropolitan level had large variability among counties. Of note, among noncore counties, a nearly 70-fold relative differences over time occurred between the county-based 90<sup>th</sup> and 10<sup>th</sup> percentiles of high-dosage dispensing rates (<xref rid="T1" ref-type="table">Table 1</xref>).</p></sec><sec id="S4"><title>DISCUSSION</title><p id="P5">Nearly 14% (46 million) of U.S. residents live in rural/ metropolitan counties where they may face greater public health challenges than those living in denser population areas.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> Rural residents, particularly in noncore counties, typically have a higher prevalence of chronic pain, lower income, less access to health care, and higher uninsured rates, and interventions may not be practical without equitable outreach and engagement of a broader group of stakeholders.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> Each factor can influence the need for prescription pain medication and its ease of access. Within each metropolitan level, the wide variation in opioid prescription dispensing may be related to a shortage of providers, high patient load, and/or greater need for pain relief.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup></p><p id="P6">The continued overall downward national trend in opioid dispensing could be related to state legislation, pharmacy regulations, and prescription drug monitoring programs that track and improve prescribing practices.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> Even so, overdoses and deaths from illicitly manufactured fentanyl, methamphetamine, and cocaine increased during this period.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Multiple simultaneous approaches (e.g., primary prevention, harm reduction, evidence-based treatment, and recovery support) could help reduce the nation&#x02019;s overdose epidemic while improving care for patients with pain, mental health conditions, or substance use disorder.<sup><xref rid="R9" ref-type="bibr">9</xref></sup></p><sec id="S5"><title>Limitations</title><p id="P7">These data concern trends in populations, not individuals, and do not directly point to specific solutions for patients. The reasons an opioid was prescribed and its appropriateness could not be determined. There is a lack of data on prescriptions dispensed outside of retail pharmacies (i.e., mail-order, prescriber-dispensed, and hospital- or clinic-based pharmacies).</p></sec></sec><sec id="S6"><title>CONCLUSIONS</title><p id="P8">This study supports that opioid prescribing practices may differ by community on the basis of metropolitan level. Evidence-based interventions suggested by clinical practice guidelines could modify this, even if they are unevenly effective across communities of different metropolitan levels.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> Suggested evidence-based interventions could include (1) more pain management education of local clinicians concerning the full range of pain treatments; (2) improvements in electronic health records, particularly by embedded clinical decision-making support; (3) enhanced shared decision making with patients where applicable; and (4) team-based care.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Appendix</label><media xlink:href="NIHMS2016882-supplement-Appendix.pdf" id="d67e212" position="anchor"/></supplementary-material></sec></body><back><ack id="S7"><title>ACKNOWLEDGMENTS</title><p id="P9">The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the U.S. Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry.</p><p id="P10">No financial disclosures were reported by the authors of this paper.</p></ack><fn-group><fn id="FN1"><p id="P11">CREDIT AUTHOR STATEMENT</p><p id="P12">Lyna Z. Schieber: Conceptualization, Formal analysis, Methodology, Writing &#x02013; original draft. S. Michaela Rikard: Visualization, Validation, Writing &#x02013; review &#x00026; editing. Andrea E. Strahan: Data curation, Validation, Writing &#x02013; review &#x00026; editing. Jan L. Losby: Conceptualization, Project administration, Writing &#x02013; review &#x00026; editing. Gery P. Guy: Conceptualization, Supervision, Writing &#x02013; review &#x00026; editing.</p></fn><fn id="FN2"><p id="P13">SUPPLEMENTAL MATERIAL</p><p id="P14">Supplemental materials associated with this article can be found in the online version at <ext-link xlink:href="10.1016/j.amepre.2024.01.013" ext-link-type="doi">https://doi.org/10.1016/j.amepre.2024.01.013</ext-link>.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Spencer</surname><given-names>MR</given-names></name>, <name><surname>Mini&#x000f1;o</surname><given-names>AM</given-names></name>, <name><surname>Warner</surname><given-names>M</given-names></name>. <article-title>Drug overdose deaths in the United States, 2001&#x02013;2021</article-title>, <source>NCHS Data Brief</source>, (<issue>457</issue>), <volume>2022</volume>, <fpage>1</fpage>&#x02013;<lpage>8</lpage>. <comment><ext-link xlink:href="https://www.cdc.gov/nchs//data/databriefs/db457.pdf" ext-link-type="uri">https://www.cdc.gov/nchs//data/databriefs/db457.pdf</ext-link>.</comment>
<comment>Accessed</comment>
<date-in-citation>Feb 7, 2024</date-in-citation>.</mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Guy</surname><given-names>GP</given-names><suffix>Jr</suffix></name>, <name><surname>Zhang</surname><given-names>K</given-names></name>, <name><surname>Schieber</surname><given-names>LZ</given-names></name>, <name><surname>Young</surname><given-names>R</given-names></name>, <name><surname>Dowell</surname><given-names>D</given-names></name>. <article-title>County-level opioid prescribing in the United States, 2015 and 2017</article-title>. <source>JAMA Intern Med</source>. <year>2019</year>;<volume>179</volume>(<issue>4</issue>):<fpage>574</fpage>&#x02013;<lpage>576</lpage>. <pub-id pub-id-type="doi">10.1001/jamainternmed.2018.6989</pub-id>.<pub-id pub-id-type="pmid">30742206</pub-id>
</mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Schieber</surname><given-names>LZ</given-names></name>, <name><surname>Guy</surname><given-names>GP</given-names><suffix>Jr</suffix></name>, <name><surname>Seth</surname><given-names>P</given-names></name>, <etal/>
<article-title>Trends and patterns of geographic variation in opioid prescribing practices by state, United States, 2006&#x02013;2017</article-title>. <source>JAMA Netw Open</source>. <year>2019</year>;<volume>2</volume>(<issue>3</issue>):<fpage>e190665</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2019.0665</pub-id>.<pub-id pub-id-type="pmid">30874783</pub-id>
</mixed-citation></ref><ref id="R4"><label>4.</label><mixed-citation publication-type="book"><source>County population totals: 2010&#x02013;2019: Annual estimates of the resident population for counties: April 1, 2010 to July 1, 2019</source>. <publisher-name>U.S. Census Bureau</publisher-name>. <comment><ext-link xlink:href="https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html" ext-link-type="uri">https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html</ext-link>.</comment>
<comment>Updated March 29, 2023.</comment>
<comment>Accessed</comment>
<date-in-citation>Feb 7, 2024</date-in-citation>.</mixed-citation></ref><ref id="R5"><label>5.</label><mixed-citation publication-type="book"><source>County population totals and components of change: 2020&#x02013;2022: annual estimates of the resident population for counties: April 1, 2020 to July 1, 2022 (CO-EST2022-POP)</source>. <publisher-name>U.S. Census Bureau</publisher-name>. <comment><ext-link xlink:href="https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-total.html" ext-link-type="uri">https://www.census.gov/data/tables/time-series/demo/popest/2020s-counties-total.html</ext-link>.</comment>
<comment>Updated June 13, 2023.</comment>
<comment>Accessed</comment>
<date-in-citation>Feb 7, 2024</date-in-citation>.</mixed-citation></ref><ref id="R6"><label>6.</label><mixed-citation publication-type="journal"><name><surname>Ingram</surname><given-names>DD</given-names></name>, <name><surname>Franco</surname><given-names>SJ</given-names></name>. <article-title>2013 NCHS urban-rural classification scheme for counties</article-title>. <source>Vital Health Stat 2</source>. <year>2014</year>;<volume>166</volume>:<fpage>1</fpage>&#x02013;<lpage>73</lpage>.</mixed-citation></ref><ref id="R7"><label>7.</label><mixed-citation publication-type="book"><name><surname>Dobis</surname><given-names>EA</given-names></name>, <name><surname>Todd</surname><given-names>JE</given-names></name>. <source>Health care access among self-employed workers in nonmetropolitan counties</source>. <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>U.S. Department of Agriculture, Economic Research Services</publisher-name>; <year>2022</year>. <comment><ext-link xlink:href="https://www.ers.usda.gov/publications/pub-details/?pubid=103977" ext-link-type="uri">https://www.ers.usda.gov/publications/pub-details/?pubid=103977</ext-link>.</comment>
<comment>Published May 2022.</comment>
<comment>Accessed</comment>
<date-in-citation>Feb 7, 2024</date-in-citation>.</mixed-citation></ref><ref id="R8"><label>8.</label><mixed-citation publication-type="journal"><name><surname>Kozhimannil</surname><given-names>KB</given-names></name>, <name><surname>Henning-Smith</surname><given-names>C</given-names></name>. <article-title>Improving health among rural residents in the US</article-title>. <source>JAMA</source>. <year>2021</year>;<volume>325</volume>(<issue>11</issue>):<fpage>1033</fpage>&#x02013;<lpage>1034</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2020.26372</pub-id>.<pub-id pub-id-type="pmid">33724329</pub-id>
</mixed-citation></ref><ref id="R9"><label>9.</label><mixed-citation publication-type="book"><name><surname>Haffajee</surname><given-names>R</given-names></name>, <name><surname>Sherry</surname><given-names>T</given-names></name>, <name><surname>Dubenitz</surname><given-names>J</given-names></name>, <etal/>
<source>U.S. Department of Health and Human Services overdose prevention strategy (issue brief)</source>. <publisher-loc>Washington, DC</publisher-loc>: <publisher-name>Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services</publisher-name>; <year>2021</year>. <comment><ext-link xlink:href="https://aspe.hhs.gov/sites/default/files/documents/101936da95b69acb8446a4bad9179cc0/overdose-prevention-strategy.pdf" ext-link-type="uri">https://aspe.hhs.gov/sites/default/files/documents/101936da95b69acb8446a4bad9179cc0/overdose-prevention-strategy.pdf</ext-link>.</comment>
<comment>Published October 27 2021.</comment>
<comment>Accessed</comment>
<date-in-citation>Feb 7, 2024</date-in-citation>.</mixed-citation></ref><ref id="R10"><label>10.</label><mixed-citation publication-type="journal"><name><surname>Dowell</surname><given-names>D</given-names></name>, <name><surname>Ragan</surname><given-names>KR</given-names></name>, <name><surname>Jones</surname><given-names>CM</given-names></name>, <name><surname>Baldwin</surname><given-names>GT</given-names></name>, <name><surname>Chou</surname><given-names>R</given-names></name>. <article-title>CDC clinical practice guideline for prescribing opioids for pain - United States, 2022</article-title>. <source>MMWR Recomm Rep</source>. <year>2022</year>;<volume>71</volume>(<issue>3</issue>):<fpage>1</fpage>&#x02013;<lpage>95</lpage>. <pub-id pub-id-type="doi">10.15585/mmwr.rr7103a1</pub-id>.</mixed-citation></ref></ref-list></back><floats-group><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1.</label><caption><p id="P15">Opioid Dispensing by U.S. County Metropolitan Classifications, between 2019 and 2021</p></caption><table frame="box" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Opioid dispensing measure<sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1">Counties with changes, 2019 versus 2021, <italic toggle="yes">n</italic> (%)<sup><xref rid="TFN4" ref-type="table-fn">b</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1"/><th colspan="5" align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1">Variation by metropolitan status in 2021</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="bottom" rowspan="1" colspan="1"/><th colspan="4" align="center" valign="bottom" style="border-bottom: solid 1px" rowspan="1">Difference in percentiles<sup><xref rid="TFN6" ref-type="table-fn">d</xref></sup></th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1">2019, mean (SD)</th><th align="left" valign="bottom" rowspan="1" colspan="1">2021, mean (SD)</th><th align="left" valign="bottom" rowspan="1" colspan="1">Relative change, %</th><th align="left" valign="bottom" rowspan="1" colspan="1">Decrease</th><th align="left" valign="bottom" rowspan="1" colspan="1">Stable</th><th align="left" valign="bottom" rowspan="1" colspan="1">Increase</th><th align="left" valign="bottom" rowspan="1" colspan="1">Decrease/increase ratio</th><th align="left" valign="bottom" rowspan="1" colspan="1">CV %<sup><xref rid="TFN5" ref-type="table-fn">c</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">10th</th><th align="left" valign="bottom" rowspan="1" colspan="1">90th</th><th align="left" valign="bottom" rowspan="1" colspan="1">Absolute</th><th align="left" valign="bottom" rowspan="1" colspan="1">Relative</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">MME per person</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;National/all counties</td><td align="center" valign="top" rowspan="1" colspan="1">329.6 (288.6)</td><td align="center" valign="top" rowspan="1" colspan="1">304.2 (272.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;7.7</td><td align="center" valign="top" rowspan="1" colspan="1">1,166 (37.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1,420 (46.2)</td><td align="center" valign="top" rowspan="1" colspan="1">490 (15.9)</td><td align="center" valign="top" rowspan="1" colspan="1">2.4</td><td align="center" valign="top" rowspan="1" colspan="1">89.7</td><td align="center" valign="top" rowspan="1" colspan="1">34.8</td><td align="center" valign="top" rowspan="1" colspan="1">560.0</td><td align="center" valign="top" rowspan="1" colspan="1">525.2</td><td align="center" valign="top" rowspan="1" colspan="1">16.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">319.1 (304.0)</td><td align="center" valign="top" rowspan="1" colspan="1">295.2 (291.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;7.5</td><td align="center" valign="top" rowspan="1" colspan="1">474 (40.9)</td><td align="center" valign="top" rowspan="1" colspan="1">575 (49.6)</td><td align="center" valign="top" rowspan="1" colspan="1">110 (9.5)</td><td align="center" valign="top" rowspan="1" colspan="1">4.3</td><td align="center" valign="top" rowspan="1" colspan="1">98.8</td><td align="center" valign="top" rowspan="1" colspan="1">55.6</td><td align="center" valign="top" rowspan="1" colspan="1">592.5</td><td align="center" valign="top" rowspan="1" colspan="1">536.9</td><td align="center" valign="top" rowspan="1" colspan="1">10.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Micropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">321.4 (316.1)</td><td align="center" valign="top" rowspan="1" colspan="1">305.0 (296.2)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;5.1</td><td align="center" valign="top" rowspan="1" colspan="1">226 (35.9)</td><td align="center" valign="top" rowspan="1" colspan="1">318 (50.4)</td><td align="center" valign="top" rowspan="1" colspan="1">86 (13.7)</td><td align="center" valign="top" rowspan="1" colspan="1">2.6</td><td align="center" valign="top" rowspan="1" colspan="1">97.1</td><td align="center" valign="top" rowspan="1" colspan="1">68.4</td><td align="center" valign="top" rowspan="1" colspan="1">601.1</td><td align="center" valign="top" rowspan="1" colspan="1">532.7</td><td align="center" valign="top" rowspan="1" colspan="1">8.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Noncore</td><td align="center" valign="top" rowspan="1" colspan="1">236.2 (251.0)</td><td align="center" valign="top" rowspan="1" colspan="1">222.7 (234.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;5.7</td><td align="center" valign="top" rowspan="1" colspan="1">466 (36.2)</td><td align="center" valign="top" rowspan="1" colspan="1">527 (41.0)</td><td align="center" valign="top" rowspan="1" colspan="1">294 (22.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td><td align="center" valign="top" rowspan="1" colspan="1">105.3</td><td align="center" valign="top" rowspan="1" colspan="1">18.9</td><td align="center" valign="top" rowspan="1" colspan="1">503.1</td><td align="center" valign="top" rowspan="1" colspan="1">484.3</td><td align="center" valign="top" rowspan="1" colspan="1">26.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Overall dispensing rate per 100 persons<sup><xref rid="TFN7" ref-type="table-fn">e</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;National/all counties</td><td align="center" valign="top" rowspan="1" colspan="1">43.5 (30.8)</td><td align="center" valign="top" rowspan="1" colspan="1">41.9 (29.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;3.7</td><td align="center" valign="top" rowspan="1" colspan="1">765 (24.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1,853 (60.2)</td><td align="center" valign="top" rowspan="1" colspan="1">458 (14.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td><td align="center" valign="top" rowspan="1" colspan="1">71.1</td><td align="center" valign="top" rowspan="1" colspan="1">8.2</td><td align="center" valign="top" rowspan="1" colspan="1">70.8</td><td align="center" valign="top" rowspan="1" colspan="1">62.6</td><td align="center" valign="top" rowspan="1" colspan="1">8.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">42.3 (31.8)</td><td align="center" valign="top" rowspan="1" colspan="1">40.7 (30.9)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;3.7</td><td align="center" valign="top" rowspan="1" colspan="1">238 (20.5)</td><td align="center" valign="top" rowspan="1" colspan="1">827 (71.4)</td><td align="center" valign="top" rowspan="1" colspan="1">94 (8.1)</td><td align="center" valign="top" rowspan="1" colspan="1">2.5</td><td align="center" valign="top" rowspan="1" colspan="1">75.9</td><td align="center" valign="top" rowspan="1" colspan="1">11.2</td><td align="center" valign="top" rowspan="1" colspan="1">77.6</td><td align="center" valign="top" rowspan="1" colspan="1">66.3</td><td align="center" valign="top" rowspan="1" colspan="1">6.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Micropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">44.9 (33.4)</td><td align="center" valign="top" rowspan="1" colspan="1">43.8 (32.3)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;2.6</td><td align="center" valign="top" rowspan="1" colspan="1">133 (21.1)</td><td align="center" valign="top" rowspan="1" colspan="1">416 (66.0)</td><td align="center" valign="top" rowspan="1" colspan="1">81 (12.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td><td align="center" valign="top" rowspan="1" colspan="1">73.7</td><td align="center" valign="top" rowspan="1" colspan="1">15.2</td><td align="center" valign="top" rowspan="1" colspan="1">77.5</td><td align="center" valign="top" rowspan="1" colspan="1">62.3</td><td align="center" valign="top" rowspan="1" colspan="1">5.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Noncore</td><td align="center" valign="top" rowspan="1" colspan="1">32.4 (27.2)</td><td align="center" valign="top" rowspan="1" colspan="1">31.4 (26.0)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;3.2</td><td align="center" valign="top" rowspan="1" colspan="1">394 (30.6)</td><td align="center" valign="top" rowspan="1" colspan="1">610 (47.4)</td><td align="center" valign="top" rowspan="1" colspan="1">283 (22.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.4</td><td align="center" valign="top" rowspan="1" colspan="1">82.8</td><td align="center" valign="top" rowspan="1" colspan="1">4.9</td><td align="center" valign="top" rowspan="1" colspan="1">61.2</td><td align="center" valign="top" rowspan="1" colspan="1">56.3</td><td align="center" valign="top" rowspan="1" colspan="1">12.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">High-dose dispensing rate per 100 persons<sup><xref rid="TFN8" ref-type="table-fn">f</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;National/all counties</td><td align="center" valign="top" rowspan="1" colspan="1">9.4 (8.1)</td><td align="center" valign="top" rowspan="1" colspan="1">7.8 (7.2)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;17.4</td><td align="center" valign="top" rowspan="1" colspan="1">1969 (64.0)</td><td align="center" valign="top" rowspan="1" colspan="1">575 (18.7)</td><td align="center" valign="top" rowspan="1" colspan="1">532 (17.3)</td><td align="center" valign="top" rowspan="1" colspan="1">3.7</td><td align="center" valign="top" rowspan="1" colspan="1">92.3</td><td align="center" valign="top" rowspan="1" colspan="1">0.4</td><td align="center" valign="top" rowspan="1" colspan="1">13.6</td><td align="center" valign="top" rowspan="1" colspan="1">13.1</td><td align="center" valign="top" rowspan="1" colspan="1">30.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">8.8 (9.0)</td><td align="center" valign="top" rowspan="1" colspan="1">7.3 (8.0)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;17.2</td><td align="center" valign="top" rowspan="1" colspan="1">806 (69.5)</td><td align="center" valign="top" rowspan="1" colspan="1">227 (19.6)</td><td align="center" valign="top" rowspan="1" colspan="1">126 (10.9)</td><td align="center" valign="top" rowspan="1" colspan="1">6.4</td><td align="center" valign="top" rowspan="1" colspan="1">109.6</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td><td align="center" valign="top" rowspan="1" colspan="1">15.2</td><td align="center" valign="top" rowspan="1" colspan="1">14.4</td><td align="center" valign="top" rowspan="1" colspan="1">19.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Micropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">8.3 (9.1)</td><td align="center" valign="top" rowspan="1" colspan="1">7.0 (7.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;15.1</td><td align="center" valign="top" rowspan="1" colspan="1">401 (63.7)</td><td align="center" valign="top" rowspan="1" colspan="1">133 (21.1)</td><td align="center" valign="top" rowspan="1" colspan="1">96 (15.2)</td><td align="center" valign="top" rowspan="1" colspan="1">4.2</td><td align="center" valign="top" rowspan="1" colspan="1">111.4</td><td align="center" valign="top" rowspan="1" colspan="1">1.0</td><td align="center" valign="top" rowspan="1" colspan="1">14.5</td><td align="center" valign="top" rowspan="1" colspan="1">13.4</td><td align="center" valign="top" rowspan="1" colspan="1">14.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Noncore</td><td align="center" valign="top" rowspan="1" colspan="1">5.4 (6.3)</td><td align="center" valign="top" rowspan="1" colspan="1">4.7 (5.8)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;12.2</td><td align="center" valign="top" rowspan="1" colspan="1">762 (59.2)</td><td align="center" valign="top" rowspan="1" colspan="1">215 (16.7)</td><td align="center" valign="top" rowspan="1" colspan="1">310 (24.1)</td><td align="center" valign="top" rowspan="1" colspan="1">2.5</td><td align="center" valign="top" rowspan="1" colspan="1">123.4</td><td align="center" valign="top" rowspan="1" colspan="1">0.2</td><td align="center" valign="top" rowspan="1" colspan="1">11.6</td><td align="center" valign="top" rowspan="1" colspan="1">11.4</td><td align="center" valign="top" rowspan="1" colspan="1">69.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Average daily MME per prescription</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;National/all counties</td><td align="center" valign="top" rowspan="1" colspan="1">39.4 (9.1)</td><td align="center" valign="top" rowspan="1" colspan="1">38.5 (8.9)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;2.2</td><td align="center" valign="top" rowspan="1" colspan="1">291 (9.5)</td><td align="center" valign="top" rowspan="1" colspan="1">2,600 (84.5)</td><td align="center" valign="top" rowspan="1" colspan="1">185 (6.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td><td align="center" valign="top" rowspan="1" colspan="1">23.1</td><td align="center" valign="top" rowspan="1" colspan="1">26.3</td><td align="center" valign="top" rowspan="1" colspan="1">45.1</td><td align="center" valign="top" rowspan="1" colspan="1">18.8</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">37.3 (7.9)</td><td align="center" valign="top" rowspan="1" colspan="1">36.4 (7.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;2.5</td><td align="center" valign="top" rowspan="1" colspan="1">74 (6.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1,046 (90.3)</td><td align="center" valign="top" rowspan="1" colspan="1">39 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1.9</td><td align="center" valign="top" rowspan="1" colspan="1">20.9</td><td align="center" valign="top" rowspan="1" colspan="1">27.2</td><td align="center" valign="top" rowspan="1" colspan="1">45.6</td><td align="center" valign="top" rowspan="1" colspan="1">18.4</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Micropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">35.6 (8.5)</td><td align="center" valign="top" rowspan="1" colspan="1">34.9 (8.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;2.0</td><td align="center" valign="top" rowspan="1" colspan="1">42 (6.7)</td><td align="center" valign="top" rowspan="1" colspan="1">562 (89.2)</td><td align="center" valign="top" rowspan="1" colspan="1">26 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td><td align="center" valign="top" rowspan="1" colspan="1">23.2</td><td align="center" valign="top" rowspan="1" colspan="1">26.1</td><td align="center" valign="top" rowspan="1" colspan="1">44.1</td><td align="center" valign="top" rowspan="1" colspan="1">18.0</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Noncore</td><td align="center" valign="top" rowspan="1" colspan="1">34.1 (10.0)</td><td align="center" valign="top" rowspan="1" colspan="1">33.4 (10.0)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;1.1</td><td align="center" valign="top" rowspan="1" colspan="1">175 (13.6)</td><td align="center" valign="top" rowspan="1" colspan="1">992 (77.1)</td><td align="center" valign="top" rowspan="1" colspan="1">120 (9.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1.5</td><td align="center" valign="top" rowspan="1" colspan="1">29.9</td><td align="center" valign="top" rowspan="1" colspan="1">22.3</td><td align="center" valign="top" rowspan="1" colspan="1">45.0</td><td align="center" valign="top" rowspan="1" colspan="1">22.7</td><td align="center" valign="top" rowspan="1" colspan="1">2.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Average duration of prescriptions, d</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;National/all counties</td><td align="center" valign="top" rowspan="1" colspan="1">18 (3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">17.9 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.7</td><td align="center" valign="top" rowspan="1" colspan="1">324 (10.5)</td><td align="center" valign="top" rowspan="1" colspan="1">2,413 (78.5)</td><td align="center" valign="top" rowspan="1" colspan="1">339 (11.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1.0</td><td align="center" valign="top" rowspan="1" colspan="1">22.9</td><td align="center" valign="top" rowspan="1" colspan="1">13.6</td><td align="center" valign="top" rowspan="1" colspan="1">23.4</td><td align="center" valign="top" rowspan="1" colspan="1">9.7</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Metropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">18.2 (3.5)</td><td align="center" valign="top" rowspan="1" colspan="1">18.0 (3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.9</td><td align="center" valign="top" rowspan="1" colspan="1">85 (7.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1,001 (86.4)</td><td align="center" valign="top" rowspan="1" colspan="1">73 (6.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1.2</td><td align="center" valign="top" rowspan="1" colspan="1">20.0</td><td align="center" valign="top" rowspan="1" colspan="1">13.9</td><td align="center" valign="top" rowspan="1" colspan="1">22.2</td><td align="center" valign="top" rowspan="1" colspan="1">8.3</td><td align="center" valign="top" rowspan="1" colspan="1">1.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Micropolitan</td><td align="center" valign="top" rowspan="1" colspan="1">18.1 (3.7)</td><td align="center" valign="top" rowspan="1" colspan="1">18.2 (3.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.5</td><td align="center" valign="top" rowspan="1" colspan="1">55 (8.7)</td><td align="center" valign="top" rowspan="1" colspan="1">506 (80.3)</td><td align="center" valign="top" rowspan="1" colspan="1">69 (11.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.8</td><td align="center" valign="top" rowspan="1" colspan="1">20.3</td><td align="center" valign="top" rowspan="1" colspan="1">13.1</td><td align="center" valign="top" rowspan="1" colspan="1">22.7</td><td align="center" valign="top" rowspan="1" colspan="1">9.5</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Noncore</td><td align="center" valign="top" rowspan="1" colspan="1">18.9 (3.4)</td><td align="center" valign="top" rowspan="1" colspan="1">18.9 (4.6)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0</td><td align="center" valign="top" rowspan="1" colspan="1">184 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">906 (70.4)</td><td align="center" valign="top" rowspan="1" colspan="1">197 (15.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.9</td><td align="center" valign="top" rowspan="1" colspan="1">24.3</td><td align="center" valign="top" rowspan="1" colspan="1">13.3</td><td align="center" valign="top" rowspan="1" colspan="1">24.3</td><td align="center" valign="top" rowspan="1" colspan="1">11.1</td><td align="center" valign="top" rowspan="1" colspan="1">1.8</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P16">Source: Our analysis of the IQVIA xPONENT database from 2019 through 2021, representing 93% of retail prescriptions projected in the U.S. (<ext-link xlink:href="https://www.iqvia.com/locations/united-states/library/fact-sheets/xponent" ext-link-type="uri">https://www.iqvia.com/locations/united-states/library/fact-sheets/xponent</ext-link>).</p></fn><fn id="TFN2"><p id="P17"><italic toggle="yes">Note:</italic> U.S. county metropolitan classification was based on the 2013 NCHS Urban&#x02013;Rural Classification Scheme for Counties. In this scheme, counties are classified into 6 urbanization levels primarily on the basis of metropolitan&#x02013;nonmetropolitan status and population distribution. In this study, 3 levels examined were metropolitan (&#x02265;50,000 people), micropolitan (10,000&#x02013;49,999 people), and noncore (&#x0003c;10,000 people). Nonmetropolitan/rural counties are not part of a metropolitan area and are subdivided into micropolitan counties and noncore counties. Noncore counties are the most rural.</p></fn><fn id="TFN3"><label>a</label><p id="P18">Opioid products included in the analysis: codeine, fentanyl, hydrocodone, hydromorphone, methadone, morphine, oxycodone, oxymorphone, propoxyphene, tapentadol, tramadol, and buprenorphine (only buprenorphine products indicated for pain). Cough and cold formulations containing opioids and buprenorphine products commonly used to treat opioid use disorder were excluded. Data on prescriptions obtained by mail order and those dispensed directly by clinicians were not available. These data are weighted/projected to account for missing prescriptions and to be representative at the national, state, and county levels.</p></fn><fn id="TFN4"><label>b</label><p id="P19">Among the 3,076 counties with available data in 2019 and 2021, rises of &#x02265;10% in each variable for these 2 years were considered an increase, reductions of &#x02265;10% were considered a decrease, and changes between &#x02212;10% and +10% were considered stable. For each variable, a decrease/increase ratio was calculated indicating the number of counties with a decrease relative to those with an increase between 2019 and 2021. Only the prescriber practice county location is available in the data, so the prescriber&#x02019;s state and county were used to obtain geographic location of prescriptions.</p></fn><fn id="TFN5"><label>c</label><p id="P20"><italic toggle="yes">CV</italic> is defined as the ratio of the SD to the mean of each measure. It was calculated on the basis of the following formula: CV = (SD/mean) &#x000d7; 100.</p></fn><fn id="TFN6"><label>d</label><p id="P21">The difference between these 2 percentiles was used to indicate the degree of absolute difference, representing the absolute magnitude of the gap between high- and low-dispensing counties for each variable. The ratio between the 90th and 10th percentiles was used to assess the relative degree of differences across counties for each variable. Use of the 90th percentile instead of the maximum value and the 10th percentile instead of the minimum value reduced the ability of outliers to skew results for each variable.</p></fn><fn id="TFN7"><label>e</label><p id="P22">Overall dispensing rates were weighted to the estimates of population for national or counties from the U.S. Census (<ext-link xlink:href="http://www.cesus.gov/" ext-link-type="uri">www.cesus.gov</ext-link>).</p></fn><fn id="TFN8"><label>f</label><p id="P23">High-dosage dispensing rate included opioid prescriptions with daily dosage &#x02265;50 MME, weighted to the estimates of population for national or counties from the U.S. Census (<ext-link xlink:href="http://www.cesus.gov/" ext-link-type="uri">www.cesus.gov</ext-link>).</p></fn><fn id="TFN9"><p id="P24">CV, coefficient of variation; MME, morphine milligram equivalent; NCHS, National Center for Health Statistics.</p></fn></table-wrap-foot></table-wrap></floats-group></article>