Evidence map›Paper›PMID 25604743›Full record

ArticleThe Journal of antimicrobial chemotherapy2015

Influence of provider and urgent care density across different socioeconomic strata on outpatient antibiotic prescribing in the USA.

Eili Y Klein, Michael Makowsky, Megan Orlando, Erez Hatna, Nikolay P Braykov, Ramanan Laxminarayan

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  16. Social, demographic, and economic correlates of food and chemical consumption measured by wastewater-based epidemiology.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

6 authors.

Eili Y KleinDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA Center for Disease Dynamics, Economics & Policy, Washington, DC, USA eklein@jhu.edu.
Michael MakowskyDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
Megan OrlandoDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Erez HatnaDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nikolay P BraykovCenter for Disease Dynamics, Economics & Policy, Washington, DC, USA.
Ramanan LaxminarayanCenter for Disease Dynamics, Economics & Policy, Washington, DC, USA Princeton Environmental Institute, Princeton University, Princeton, NJ, USA.

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LAKOSKI, JOAN M · 2009 to 2018
$16.7M
NIGMS NIH HHS U54 GM088491
6 · The paper itself

Abstract

objectivesDespite a strong link between antibiotic use and resistance, and highly variable antibiotic consumption rates across the USA, drivers of differences in consumption rates are not fully understood. The objective of this study was to examine how provider density affects antibiotic prescribing rates across socioeconomic groups in the USA.

methodsWe aggregated data on all outpatient antibiotic prescriptions filled in retail pharmacies in the USA in 2000 and 2010 from IMS Health into 3436 geographically distinct hospital service areas and combined this with socioeconomic and structural factors that affect antibiotic prescribing from the US Census. We then used fixed-effect models to estimate the interaction between poverty and the number of physician offices per capita (i.e. physician density) and the presence of urgent care and retail clinics on antibiotic prescribing rates.

resultsWe found large geographical variation in prescribing, driven in part by the number of physician offices per capita. For an increase of one standard deviation in the number of physician offices per capita there was a 25.9% increase in prescriptions per capita. However, the determinants of the prescription rate were dependent on socioeconomic conditions. In poorer areas, clinics substitute for traditional physician offices, reducing the impact of physician density. In wealthier areas, clinics increase the effect of physician density on the prescribing rate.

conclusionsIn areas with higher poverty rates, access to providers drives the prescribing rate. However, in wealthier areas, where access is less of a problem, a higher density of providers and clinics increases the prescribing rate, potentially due to competition.

Indexed as

Ambulatory CareAnti-Bacterial AgentsDrug PrescriptionsDrug UtilizationHumansSocioeconomic FactorsUnited StatesAnti-Bacterial Agentsantibiotic resistancepharmacoepidemiologypublic health

Identifiers

PMID25604743
PMCPMC4398474

What OpenQuestion holds

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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.