Evidence map›Paper›PMID 29582410›Full record

ArticleJournal of the American Geriatrics Society2018

National Prescribing Trends for High-Risk Anticholinergic Medications in Older Adults.

Taeho Greg Rhee, Yookyung Christy Choi, Gregory M Ouellet, Joseph S Ross

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Pharmacogenetic associations ofFrontiers in pharmacology · 2025
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  10. Review
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  15. Observational
  16. Article
  17. Coprescribing of Benzodiazepines and Opioids in Older Adults: Rates, Correlates, and National Trends.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  18. Article
  19. Article
  20. Extent and Predictors of Potentially Inappropriate Antidepressant Use Among Older Adults With Dementia and Major Depressive Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019
    Article
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

4 authors.

Taeho Greg RheeSection of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut.ORCID http://orcid.org/0000-0003-4961-3361
Yookyung Christy ChoiDepartment of Pharmaceutical Care and Health Systems, College of Pharmacy, University of Minnesota, Minneapolis, MN.
Gregory M OuelletSection of Geriatrics, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut.ORCID http://orcid.org/0000-0002-7731-2104
Joseph S RossCenter for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, Connecticut.

Funding

Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
NIA NIH HHS T32 AG019134
6 · The paper itself

Abstract

objectivesTo estimate prescribing tends of and correlates independently associated with high-risk anticholinergic prescriptions in adults aged 65 and older in office-based outpatient visits.

designRepeated cross-sectional analysis.

settingNational Ambulatory Medical Care Survey (NAMCS).

participantsA national sample of office-based physician visits by adults aged 65 and older from 2006 to 2015 (n=96,996 unweighted). MEASUREMENTS: Prescriptions of high-risk anticholinergics, regardless of indication, were identified, and overall prescribing trends were estimated from 2006 to 2015. Stratified analyses of prescribing trends according to physician specialty and anticholinergic drug class were also performed. We used a multivariable logistic regression analysis to estimate the odds of high-risk anticholinergic prescription.

resultsBetween 2006 and 2015, a high-risk anticholinergic prescription was listed for 5,876 (6.2%) 96,996 visits of older adults, representative of 14.6 million total visits nationally. The most common drug classes were antidepressants, antimuscarinics, and antihistamines, which accounted for more than 70% of prescribed anticholinergics. Correlates independently associated with greater odds of receiving a high-risk anticholinergic prescription were female sex, the Southern geographic region, specific physician specialties (e.g., psychiatry, urology), receipt of 6 or more concomitantly prescribed medications, and related clinical diagnoses (e.g., urinary continence) (p<.01 for all).

conclusionThe prevalence of high-risk anticholinergic prescriptions was stable over time but varied according to physician specialty and drug class. Quality prescribing should be promoted because safer alternatives are available.

Indexed as

AgedAged, 80 and overAmbulatory CareCholinergic AntagonistsCross-Sectional StudiesDrug PrescriptionsDrug UtilizationFemaleHealth Care SurveysHealth Services Needs and DemandHumansMaleMiddle AgedPractice Patterns, Physicians'PrevalenceUnited StatesCholinergic Antagonistsanticholinergicsolder adultsoutpatient careprescribing

Identifiers

PMID29582410
PMCPMC6097908

What OpenQuestion holds

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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.