Evidence map›Paper›PMID 33821897›Full record

ArticleJAMA2021

Antimicrobial Use in a Cohort of US Nursing Homes, 2017.

Nicola D Thompson, Nimalie D Stone, Cedric J Brown, Austin R Penna, Taniece R Eure, Wendy M Bamberg, Grant R Barney, Devra Barter, Paula Clogher, Malini B DeSilva and 20 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

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

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

  1. Pooled it
  2. Observational
  3. Review
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  8. Temporal Trends ofAntibiotics (Basel, Switzerland) · 2025
    Article
  9. Antibiotic Prescribing for Urinary Tract Infections in Women Residing in Long-Term Care: A Retrospective Cohort Study.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024
    Article
  10. Description of national antibiotic prescribing rates in U.S. long-term care facilities, 2013-2021.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Nicola D ThompsonDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Nimalie D StoneDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Cedric J BrownDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Austin R PennaDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Taniece R EureDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.
Wendy M BambergColorado Department of Public Health and Environment, Denver.
Grant R BarneyNew York Emerging Infections Program, Rochester.
Devra BarterColorado Department of Public Health and Environment, Denver.
Paula ClogherConnecticut Emerging Infections Program, New Haven.
Malini B DeSilvaMinnesota Department of Health, St Paul.
Ghinwa DumyatiNew York Emerging Infections Program, Rochester.
Linda FrankCalifornia Emerging Infections Program, Oakland.
Christina B FelsenNew York Emerging Infections Program, Rochester.
Deborah GodineCalifornia Emerging Infections Program, Oakland.
Lourdes IrizarryNew Mexico Department of Health, Santa Fe.
Marion A KainerTennessee Department of Health, Nashville.
Linda LiMaryland Emerging Infections Program, Maryland Department of Health, Baltimore.
Ruth LynfieldMinnesota Department of Health, St Paul.
J P MahoehneyMinnesota Department of Health, St Paul.
Meghan MaloneyConnecticut Department of Health, Hartford.
Joelle NadleCalifornia Emerging Infections Program, Oakland.
Valerie L S OcampoOregon Health Authority, Portland.
Rebecca PierceOregon Health Authority, Portland.
Susan M RayGeorgia Emerging Infections Program, Atlanta.
Sarah Shrum DavisNew Mexico Department of Health, Santa Fe.
Marla SieversNew Mexico Department of Health, Santa Fe.
Krithika SrinivasanConnecticut Emerging Infections Program, New Haven.
Lucy E WilsonMaryland Emerging Infections Program, Maryland Department of Health, Baltimore.
Alexia Y ZhangOregon Health Authority, Portland.
Shelley S MagillDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Controlling antimicrobial resistance in health care is a public health priority, although data describing antimicrobial use in US nursing homes are limited. Objective: To measure the prevalence of antimicrobial use and describe antimicrobial classes and common indications among nursing home residents. Design, Setting, and Participants: Cross-sectional, 1-day point-prevalence surveys of antimicrobial use performed between April 2017 and October 2017, last survey date October 31, 2017, and including 15 276 residents present on the survey date in 161 randomly selected nursing homes from selected counties of 10 Emerging Infections Program (EIP) states. EIP staff reviewed nursing home records to collect data on characteristics of residents and antimicrobials administered at the time of the survey. Nursing home characteristics were obtained from nursing home staff and the Nursing Home Compare website. Exposures: Residence in one of the participating nursing homes at the time of the survey. Main Outcomes and Measures: Prevalence of antimicrobial use per 100 residents, defined as the number of residents receiving antimicrobial drugs at the time of the survey divided by the total number of surveyed residents. Multivariable logistic regression modeling of antimicrobial use and percentages of drugs within various classifications. Results: Among 15 276 nursing home residents included in the study (mean [SD] age, 77.6 [13.7] years; 9475 [62%] women), complete prevalence data were available for 96.8%. The overall antimicrobial use prevalence was 8.2 per 100 residents (95% CI, 7.8-8.8). Antimicrobial use was more prevalent in residents admitted to the nursing home within 30 days before the survey date (18.8 per 100 residents; 95% CI, 17.4-20.3), with central venous catheters (62.8 per 100 residents; 95% CI, 56.9-68.3) or with indwelling urinary catheters (19.1 per 100 residents; 95% CI, 16.4-22.0). Antimicrobials were most often used to treat active infections (77% [95% CI, 74.8%-79.2%]) and primarily for urinary tract infections (28.1% [95% CI, 15.5%-30.7%]). While 18.2% (95% CI, 16.1%-20.1%) were for medical prophylaxis, most often use was for the urinary tract (40.8% [95% CI, 34.8%-47.1%]). Fluoroquinolones were the most common antimicrobial class (12.9% [95% CI, 11.3%-14.8%]), and 33.1% (95% CI, 30.7%-35.6%) of antimicrobials used were broad-spectrum antibiotics. Conclusions and Relevance: In this cross-sectional survey of a cohort of US nursing homes in 2017, prevalence of antimicrobial use was 8.2 per 100 residents. This study provides information on the patterns of antimicrobial use among these nursing home residents.

Indexed as

Antimicrobial StewardshipAgedAged, 80 and overAnti-Bacterial AgentsAnti-Infective AgentsCross-Sectional StudiesDrug UtilizationFemaleFluoroquinolonesHumansLogistic ModelsMaleMiddle AgedNursing HomesPrescription Drug OveruseUnited StatesAnti-Bacterial AgentsAnti-Infective AgentsFluoroquinolones

Identifiers

PMID33821897
PMCPMC8025112

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.