Evidence map›Paper›PMID 30651273›Full record

ArticleBMJ (Clinical research ed.)2019

Appropriateness of outpatient antibiotic prescribing among privately insured US patients: ICD-10-CM based cross sectional study.

Kao-Ping Chua, Michael A Fischer, Jeffrey A Linder

Registry-linked trialAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05138874 (Improving Safe Antibiotic Prescribing in Telehealth), which is not on this map. Cited by 142 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 1 pooled it
–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.

NCT05138874 nacompletednot on this mapstarted 2022, after this paper: background citation

Improving Safe Antibiotic Prescribing in Telehealth: Evaluation of a Randomized Trial

TypeinterventionalSponsorUniversity of Southern CaliforniaRan2022 to 2023Enrolled6,581ConditionsAcute Respiratory Infection, TelehealthArmsTrending Feedback, Benchmark Peer Comparison Feedback, Private Commitment, Public Commitment
3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  9. A Rapid Test to Differentiate Viral From Bacterial Infections: Searching for the Holy Grail.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Review
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  20. bioRxiv : the preprint server for biology · 2025
    Article

82 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Kao-Ping ChuaDepartment of Pediatrics, Child Health Evaluation and Research Center, University of Michigan Medical School, 300 N Ingalls Street, SPC 5456 Room 6E18, Ann Arbor, MI 48109-5456, USA chuak@med.umich.edu.ORCID 0000-0002-4081-272X
Michael A FischerDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jeffrey A LinderDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

Examining Non-Visit-Based Antibiotic Use to Improve Safety and Limit ResistanceR01HS024930 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LINDER, JEFFREY A. · 2016 to 2018
$1.2M
AHRQ HHS R01 HS024930
6 · The paper itself

Abstract

objectiveTo assess the appropriateness of outpatient antibiotic prescribing for privately insured children and non-elderly adults in the US using a comprehensive classification scheme of diagnosis codes in ICD-10-CM (international classification of diseases-clinical modification, 10th revision), which replaced ICD-9-CM in the US on 1 October 2015.

designCross sectional study.

settingMarketScan Commercial Claims and Encounters database, 2016.

participants19.2 million enrollees aged 0-64 years.

main outcome measuresA classification scheme was developed that determined whether each of the 91 738 ICD-10-CM diagnosis codes "always," "sometimes," or "never" justified antibiotics. For each antibiotic prescription fill, this scheme was used to classify all diagnosis codes in claims during a look back period that began three days before antibiotic prescription fills and ended on the day fills occurred. The main outcome was the proportion of fills in each of four mutually exclusive categories: "appropriate" (associated with at least one "always" code during the look back period, "potentially appropriate" (associated with at least one "sometimes" but no "always" codes), "inappropriate" (associated only with "never" codes), and "not associated with a recent diagnosis code" (no codes during the look back period).

resultsThe cohort (n=19 203 264) comprised 14 571 944 (75.9%) adult and 9 935 791 (51.7%) female enrollees. Among 15 455 834 outpatient antibiotic prescription fills by the cohort, the most common antibiotics were azithromycin (2 931 242, 19.0%), amoxicillin (2 818 939, 18.2%), and amoxicillin-clavulanate (1 784 921, 11.6%). Among these 15 455 834 fills, 1 973 873 (12.8%) were appropriate, 5 487 003 (35.5%) were potentially appropriate, 3 592 183 (23.2%) were inappropriate, and 4 402 775 (28.5%) were not associated with a recent diagnosis code. Among the 3 592 183 inappropriate fills, 2 541 125 (70.7%) were written in office based settings, 222 804 (6.2%) in urgent care centers, and 168 396 (4.7%) in emergency departments. In 2016, 2 697 918 (14.1%) of the 19 203 264 enrollees filled at least one inappropriate antibiotic prescription, including 490 475 out of 4 631 320 children (10.6%) and 2 207 173 out of 14 571 944 adults (15.2%).

conclusionsAmong all outpatient antibiotic prescription fills by 19 203 264 privately insured US children and non-elderly adults in 2016, 23.2% were inappropriate, 35.5% were potentially appropriate, and 28.5% were not associated with a recent diagnosis code. Approximately 1 in 7 enrollees filled at least one inappropriate antibiotic prescription in 2016. The classification scheme could facilitate future efforts to comprehensively measure outpatient antibiotic appropriateness in the US, and it could be adapted for use in other countries that use ICD-10 codes.

Indexed as

AdolescentAdultAnti-Bacterial AgentsChildChild, PreschoolCross-Sectional StudiesDatabases, FactualFemaleHumansInappropriate PrescribingInfantInfant, NewbornInsurance, HealthInternational Classification of DiseasesMaleMiddle AgedAnti-Bacterial Agents

Identifiers

PMID30651273
PMCPMC6334180

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Registered trials

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.