Evidence map›Paper›PMID 41940077›Full record

ArticleClinical epidemiology2026

Prescribing of Opioid Analgesics in Germany: Opposite Trends When Different Quantification Measures are Used.

Oliver H F Scholle, Kathrin Jobski, Jost Viebrock, Ulrike Haug

Abstract read
In one paragraph

Article in Clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Oliver H F ScholleDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0002-2633-6587
Kathrin JobskiDepartment of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0002-3957-9721
Jost ViebrockDepartment of Statistical Methods in Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0009-0000-2116-3421
Ulrike HaugDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0002-1886-2923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To describe trends in prescribing of opioid analgesics in Germany using different quantification measures. Patients and Methods: We conducted annual cross-sectional studies for the years 2005 to 2020 based on the so-called German Pharmacoepidemiological Research Database (GePaRD; claims data covering ~20% of the German population). Opioid prescribing was assessed based on outpatient dispensations of opioid analgesics. For each year, we calculated the age- and sex-specific and -standardized prescription prevalence (number of persons with ≥1 prescription per 1000 persons) as well as the sum of oral morphine equivalents (OMEs) in mg per 1000 person-years. Results: The standardized prescription prevalence per 1000 persons showed a relative decrease by 14.1% between 2005 (52.3/1000) and 2016 (44.9/1000) and a further decrease by 5.6% until 2020 (42.4/1000). Based on the standardized OME per 1000 person-years, there was a relative increase by 51.4% until 2016 (2005: 191,987 mg; 2016: 290,733 mg) and a decrease by 5.3% thereafter (2020: 275,218 mg). Conclusion: In Germany, opposite trends for opioid prescription prevalence and OMEs were observed between 2005 and 2016, while after 2016, both quantification measures showed a decreasing trend. Our study illustrates that trends in prescribing of opioid analgesics can vary depending on the quantification measure; therefore, it is advisable to calculate both measures when monitoring opioid prescribing.

Indexed as

drug utilizationopioidspharmacoepidemiologyquantification measure

Identifiers

PMID41940077
PMCPMC13048061

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