Evidence map›Paper›PMID 32777032›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Association of a Clinician's Antibiotic-Prescribing Rate With Patients' Future Likelihood of Seeking Care and Receipt of Antibiotics.

Zhuo Shi, Michael L Barnett, Anupam B Jena, Kristin N Ray, Kathe P Fox, Ateev Mehrotra

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Appropriateness of ambulatory antibiotic prescribing in South Carolina, 2012-2017.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Changes in outpatient antibiotic prescribing for acute respiratory illnesses, 2011 to 2018.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2021
    Article
  7. Breaking the Ambulatory Antibiotic Prescribing Cycle with All-Antibiotic Stewardship, Patient Stewardship, and Visit Stewardship.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 1 country.

Zhuo ShiDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Michael L BarnettDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Anupam B JenaDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Kristin N RayDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Kathe P FoxDepartment of Analytics and Behavior Change, Aetna/CVS Health, Baltimore, Maryland, USA.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-2223-1582
Aetna (United States) · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USHarvard University · USNational Bureau of Economic Research · USUniversity of Pittsburgh · US

Funding

Physician Determinants of Health Care Spending, Quality, and Patient OutcomesDP5OD017897 · OD · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2013 to 2017
$2.1M
NIH HHS DP5 OD017897
6 · The paper itself

Abstract

backgroundOne underexplored driver of inappropriate antibiotic prescribing for acute respiratory illnesses (ARI) is patients' prior care experiences. When patients receive antibiotics for an ARI, patients may attribute their clinical improvement to the antibiotics, regardless of their true benefit. These experiences, and experiences of family members, may drive whether patients seek care or request antibiotics for subsequent ARIs.

methodsUsing encounter data from a national United States insurer, we identified patients <65 years old with an index ARI urgent care center (UCC) visit. We categorized clinicians within each UCC into quartiles based on their ARI antibiotic prescribing rate. Exploiting the quasi-random assignment of patients to a clinician within an UCC, we examined the association between the clinician's antibiotic prescribing rate to the patients' and their spouses' rates of ARI antibiotic receipt in the subsequent year.

resultsAcross 232,256 visits at 736 UCCs, ARI antibiotic prescribing rates were 42.1% and 80.2% in the lowest and highest quartile of clinicians, respectively. Patient characteristics were similar across the four quartiles. In the year after the index ARI visit, patients seen by the highest-prescribing clinicians received more ARI antibiotics (+3.0 fills/100 patients (a 14.6% difference), 95% CI 2.2-3.8, P < 0.001,) versus those seen by the lowest-prescribing clinicians. The increase in antibiotics was also observed among the patients' spouses. The increase in patient ARI antibiotic prescriptions was largely driven by an increased number of ARI visits (+5.6 ARI visits/100 patients, 95% CI 3.6-7.7, P < 0.001), rather than a higher antibiotic prescribing rate during those subsequent ARI visits.

conclusionsReceipt of antibiotics for an ARI increases the likelihood that patients and their spouses will receive antibiotics for future ARIs.

Indexed as

Anti-Bacterial AgentsRespiratory Tract InfectionsAcute DiseaseHumansInappropriate PrescribingMiddle AgedPractice Patterns, Physicians'United StatesAnti-Bacterial Agentsacute respiratory illnessesantibiotic usecare-seeking behaviorsurgent care

Identifiers

PMID32777032
PMCPMC8492129
OpenAlexW3048379444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.