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    <Identifier>25gaa03</Identifier>
    <IdentifierDoi>10.3205/25gaa03</IdentifierDoi>
    <IdentifierUrn>urn:nbn:de:0183-25gaa036</IdentifierUrn>
    <ArticleType>Meeting Abstract</ArticleType>
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      <Title language="en">District-level differences in opioid prescribing in Germany (2023): results from a population-based study</Title>
      <TitleTranslated language="de">Unterschiede in der Verschreibung von Opioiden auf Kreisebene in Deutschland (2023): Ergebnisse einer bev&#246;lkerungsbezogenen Studie</TitleTranslated>
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        <PersonNames>
          <Lastname>Enners</Lastname>
          <LastnameHeading>Enners</LastnameHeading>
          <Firstname>Salka</Firstname>
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        <Address>Wissenschaftliches Institut der AOK, Berlin, Germany<Affiliation>AOK Research Institute, Berlin, Germany</Affiliation></Address>
        <Email>salka.enners&#64;wido.bv.aok.de</Email>
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          <Lastname>Schlotmann</Lastname>
          <LastnameHeading>Schlotmann</LastnameHeading>
          <Firstname>Andreas</Firstname>
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          <AcademicTitle>Dr.</AcademicTitle>
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          <Affiliation>AOK Research Institute, Berlin, Germany</Affiliation>
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          <Lastname>Sch&#252;ssel</Lastname>
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          <AcademicTitle>Dr.</AcademicTitle>
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          <Affiliation>AOK Research Institute, Berlin, Germany</Affiliation>
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        <Email>katrin.schuessel&#64;wido.bv.aok.de</Email>
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          <Lastname>Brueckner</Lastname>
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          <Firstname>Gabriela</Firstname>
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          <Affiliation>AOK Research Institute, Berlin, Germany</Affiliation>
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        <Email>gabriela.brueckner&#64;wido.bv.aok.de</Email>
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          <Lastname>Jobski</Lastname>
          <LastnameHeading>Jobski</LastnameHeading>
          <Firstname>Kathrin</Firstname>
          <Initials>K</Initials>
          <AcademicTitle>Dr.</AcademicTitle>
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        <Address>
          <Affiliation>Carl von Ossietzky University Oldenburg, Oldenburg, Germany</Affiliation>
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        <Email>kathrin.jobski&#64;uni-oldenburg.de</Email>
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        <PersonNames>
          <Lastname>Langner</Lastname>
          <LastnameHeading>Langner</LastnameHeading>
          <Firstname>Irene</Firstname>
          <Initials>I</Initials>
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        <Address>
          <Affiliation>AOK Research Institute, Berlin, Germany</Affiliation>
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        <Email>irene.langner&#64;wido.bv.aok.de</Email>
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          <Lastname>Thiede</Lastname>
          <LastnameHeading>Thiede</LastnameHeading>
          <Firstname>Michael</Firstname>
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          <AcademicTitle>Prof. Dr.</AcademicTitle>
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        <Address>
          <Affiliation>AOK Research Institute, Berlin, Germany</Affiliation>
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        <Email>michael.thiede&#64;wido.bv.aok.de</Email>
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          <Lastname>Scholle</Lastname>
          <LastnameHeading>Scholle</LastnameHeading>
          <Firstname>Oliver</Firstname>
          <Initials>O</Initials>
          <AcademicTitle>Dr.</AcademicTitle>
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        <Address>
          <Affiliation>Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany</Affiliation>
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        <Email>scholle&#64;leibniz-bips.de</Email>
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      <Publisher>
        <Corporation>
          <Corporatename>German Medical Science GMS Publishing House</Corporatename>
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        <Address>D&#252;sseldorf</Address>
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    <SubjectGroup>
      <SubjectheadingDDB>610</SubjectheadingDDB>
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    <DatePublishedList>
      <DatePublished>20251111</DatePublished>
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    <Language>engl</Language>
    <License license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
      <AltText language="en">This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License.</AltText>
      <AltText language="de">Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).</AltText>
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      <Meeting>
        <MeetingId>M0632</MeetingId>
        <MeetingSequence>03</MeetingSequence>
        <MeetingCorporation>Gesellschaft f&#252;r Arzneimittelanwendungsforschung und Arzneimittelepidemiologie e.V. (GAA)</MeetingCorporation>
        <MeetingName>32. Jahrestagung der Gesellschaft f&#252;r Arzneimittelanwendungsforschung und Arzneimittelepidemiologie</MeetingName>
        <MeetingTitle></MeetingTitle>
        <MeetingSession>Abstracts</MeetingSession>
        <MeetingCity>Jena</MeetingCity>
        <MeetingDate>
          <DateFrom>20251113</DateFrom>
          <DateTo>20251114</DateTo>
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    <ArticleNo>25gaa03</ArticleNo>
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      <MainHeadline>Text</MainHeadline><Pgraph><Mark1>Background: </Mark1>Assessing regional variations in opioid prescribing is essential for understanding prescribing practices. Recent data on the extent of regional differences in opioid prescribing are lacking, particularly for non-cancer pain, where opioid use remains controversial. This study aimed to describe regional variations in the prescribing frequency of opioids for non-cancer pain in Germany.</Pgraph><Pgraph><Mark1>Materials and Methods: </Mark1>This cross-sectional study utilized claims data from Germany&#8217;s largest statutory health insurance (&#126;27 million persons). We included persons without a cancer diagnosis. Users were identified as persons with at least one opioid outpatient prescription (ATC code N02A). For each district, we calculated the age- and sex-standardized prescription prevalence and incidence for the year 2023, both for all opioids and for high potency opioids.</Pgraph><Pgraph><Mark1>Results: </Mark1>The study sample included at least 9,500 persons in each of the 400 districts. Across all districts, the prescription prevalence of opioids ranged from 35.32 to 69.38&#47;1,000, with the 5<Superscript>th</Superscript> and 95<Superscript>th</Superscript> percentiles at 40.53 and 63.31&#47;1,000, respectively (median: 51.68&#47;1,000). For high-potency opioids, the prevalence ranged from 6.85 to 28.60&#47;1,000, with the 5<Superscript>th</Superscript> and 95<Superscript>th</Superscript> percentiles at 9.64 and 21.88&#47;1,000, respectively (median: 15.05&#47;1,000). The opioid prescription incidence showed similar differences across the districts. For example, for high-potency opioids, it ranged from 3.10 to 12.53&#47;1,000 (median: 6.19&#47;1,000).</Pgraph><Pgraph><Mark1>Conclusion: </Mark1>The prescribing frequency of opioids for non-cancer pain varied substantially across German districts, particularly for high-potency opioids. As the extent of these variations is unlikely to be driven by differences in morbidity, our results suggest potential for improving rational prescribing of opioids in certain regions.</Pgraph></TextBlock>
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