Evidence map›Paper›PMID 31557249›Full record

ArticlePloS one2019

Validating a popular outpatient antibiotic database to reliably identify high prescribing physicians for patients 65 years of age and older.

Kevin L Schwartz, Cynthia Chen, Bradley J Langford, Kevin A Brown, Nick Daneman, Jennie Johnstone, Julie Hc Wu, Valerie Leung, Gary Garber

Abstract readValidation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  13. The impact of COVID-19 on community antibiotic use in Canada: an ecological study.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kevin L SchwartzPublic Health Ontario, Toronto, Ontario, Canada.ORCID 0000-0002-3666-7005
Cynthia ChenICES, Toronto, Ontario, Canada.
Bradley J LangfordPublic Health Ontario, Toronto, Ontario, Canada.
Kevin A BrownPublic Health Ontario, Toronto, Ontario, Canada.
Nick DanemanPublic Health Ontario, Toronto, Ontario, Canada.
Jennie JohnstonePublic Health Ontario, Toronto, Ontario, Canada.
Julie Hc WuPublic Health Ontario, Toronto, Ontario, Canada.
Valerie LeungPublic Health Ontario, Toronto, Ontario, Canada.
Gary GarberPublic Health Ontario, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMany jurisdictions lack comprehensive population-based antibiotic use data and rely on third party companies, most commonly IQVIA. Our objective was to validate the accuracy of the IQVIA Xponent antibiotic database in identifying high prescribing physicians compared to the reference standard of a highly accurate population-wide database of outpatient antimicrobial dispensing for patients ≥65 years.

methodsWe conducted this study between 1 March 2016 and 28 February 2017 in Ontario, Canada. We evaluated the agreement and correlation between the databases using kappa statistics and Bland-Altman plots. We also assessed performance characteristics for Xponent to accurately identify high prescribing physicians with sensitivity, specificity, positive predictive value (PPV), and negative predictive value.

resultsWe included 9,272 physicians. The Xponent database has a specificity of 92.4% (95%CI 92.0%-92.8%) and PPV of 77.2% (95%CI 76.0%-78.4%) for correctly identifying the top 25th percentile of physicians by antibiotic volume. In the sensitivity analysis, 94% of the top 25th percentile physicians in Xponent were within the top 40th percentile in the reference database. The mean number of antibiotic prescriptions per physician were similar with a relative difference of -0.4% and 2.7% for female and male patients, respectively. The error was greater in rural areas with a relative difference of -8.4% and -5.6% per physician for female and male patients, respectively. The weighted kappa for quartile agreement was 0.68 (95%CI 0.67-0.69).

conclusionWe validated the IQVIA Xponent antibiotic database to identify high prescribing physicians for patients ≥65 years, and identified some important limitations. Collecting accurate population-based antibiotic use data will remain vital to global antimicrobial stewardship efforts.

Indexed as

AdultAgedAmbulatory CareAnti-Bacterial AgentsAntimicrobial StewardshipDatabases, FactualDrug PrescriptionsFemaleHumansMaleMiddle AgedOntarioPhysicians, Primary CarePractice Patterns, Physicians'Anti-Bacterial Agents

Identifiers

PMID31557249
PMCPMC6762161

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.