Evidence map›Paper›PMID 35589530›Full record

Observational studyResearch in social & administrative pharmacy : RSAP2022

Antibiotic prescribing trends in the US during the first 11 months of the COVID-19 pandemic.

Karishma Desai, Prachi Arora, Saurabh Ghanekar, Karin Johnson, Ilene Harris

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Research in social & administrative pharmacy : RSAP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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

5 authors at 2 institutions in 1 country.

Karishma DesaiIMPAQ International, 10420 Little Patuxent Parkway, Suite 300, Columbia, MD, 21044, USA.
Prachi AroraCollege of Pharmacy and Health Sciences, Butler University, 4600 Sunset Avenue, Indianapolis, IN, 46208, USA. Electronic address: parora@butler.edu.
Saurabh GhanekarResultant (formerly KSM Consulting), 111 Monument Cir #202, Indianapolis, IN, 46204, USA.
Karin JohnsonIMPAQ International, 10420 Little Patuxent Parkway, Suite 300, Columbia, MD, 21044, USA.
Ilene HarrisIMPAQ International, 10420 Little Patuxent Parkway, Suite 300, Columbia, MD, 21044, USA.
Impaq International (United States) · USButler University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019-2020 pandemic.

methodsA retrospective observational cohort design using Symphony Health (January-November 2020). Sample population included about 13.3 million patients with at least one prescription claim ±6 months from date of diagnosis of COVID-19 or COVID-19 like symptom. Cohorts were categorized based on diagnosis codes; COVID-19 positive cohorts 1 to 3 with severe, mild, and no symptoms, respectively and non-COVID-19 cohorts 4 and 5 with severe and mild symptoms, respectively. Descriptive statistics were calculated for demographic characteristics and acute antibiotic utilization (≤7 days) including total number of antibiotics, weekly rate of prescribing, and proportion of fills in three "appropriateness" categories (always appropriate, potentially appropriate, never appropriate).

resultsThree cohorts with a positive COVID-19 diagnosis code constituted a total of about 1.8 million patients (13.53%). About 22.79% of COVID-19 positive groups had severe symptoms, 24.43% had moderate symptoms and the majority, 52.78%, had no symptoms. In the analytical sample of 13 million, about 4.2 million antibiotic prescriptions were prescribed to 2.5 million patients (19%) within 7 days of the first diagnosis of either COVID-19 or COVID-19-like symptoms. Within the COVID-19 positive cohorts, about 11% received an antibiotic prescription, while the non-COVID-19 cohorts, about 19.70% received an antibiotic. Among patients with antibiotic prescriptions, about 37.01% were prescribed an antibiotic "appropriately", 39.46% were prescribed a "potentially appropriate" antibiotic and about 22.64% received an "inappropriate" antibiotic. Among patients prescribed antibiotics, azithromycin was the most common, ranging from 21.80 to 44.80% for each cohort.

conclusionsAlthough the overall proportion of COVID-19 patients receiving antibiotics was much lower than non-COVID-19 patients, the findings suggest use of antibiotics persisted despite guidelines against widespread use, particularly for patients with moderate and mild COVID-19 symptoms.

Indexed as

Anti-Bacterial AgentsCOVID-19COVID-19 Drug TreatmentCohort StudiesCOVID-19 TestingHumansInappropriate PrescribingPandemicsPractice Patterns, Physicians'Retrospective StudiesAnti-Bacterial AgentsAntibiotic appropriatenessAntibiotic prescribingCOVID-19Mild COVID-19Non-severe COVID-19Severe COVID-19

Identifiers

PMID35589530
PMCPMC9108895
OpenAlexW4280515742

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.