Evidence map›Paper›PMID 33357746›Full record

ArticleJournal of the American Medical Directors Association2021

Geographic Variation in Anticoagulant Use and Resident, Nursing Home, and County Characteristics Associated With Treatment Among US Nursing Home Residents.

Matthew Alcusky, Jonggyu Baek, Jennifer Tjia, David D McManus, Kate L Lapane

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Geographic Variation of Gabapentinoids and Opioids in US Nursing Homes.Journal of the American Medical Directors Association · 2026
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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 1 institution in 1 country.

Matthew AlcuskyDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA. Electronic address: matthew.alcusky@umassmed.edu.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Jennifer TjiaDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
David D McManusDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA; Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
University of Massachusetts Chan Medical School · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BRYAN O BUCHHOLZ, Nathaniel Scott Hafer · 2018 to 2026
$141.0M
University of Massachusetts Center for Clinical and Translational ScienceTL1TR001454 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEWIS, BRIAN C · 2015 to 2024
$3.6M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Longitudinal Patterns of Symptoms, Medication and Hospice Use in Nursing Home Residents Approaching End of LifeK24AG068300 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI TJIA, JENNIFER · 2020 to 2024
$949k
Anticoagulant Use, Safety, and Effectiveness for Ischemic Stroke Prevention in Nursing Home Residents with Atrial FibrillationR21AG060529 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ALCUSKY, MATTHEW · 2018 to 2019
$461k
NCATS NIH HHS TL1 TR001454NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS U54 HL143541NIA NIH HHS K24 AG068300NIA NIH HHS R21 AG060529
6 · The paper itself

Abstract

objectivesTo quantify geographic variation in anticoagulant use and explore what resident, nursing home, and county characteristics were associated with anticoagulant use in a clinically complex population.

designA repeated cross-sectional design was used to estimate current oral anticoagulant use on December 31, 2014, 2015, and 2016. SETTING AND

participantsSecondary data for United States nursing home residents during the period 2014-2016 were drawn from the Minimum Data Set 3.0 and Medicare Parts A and D. Nursing home residents (≥65 years) with a diagnosis of atrial fibrillation and ≥6 months of Medicare fee-for-service enrollment were eligible for inclusion. Residents in a coma or on hospice were excluded.

methodsMultilevel logistic models evaluated the extent to which variation in anticoagulant use between counties could be explained by resident, nursing home, and county characteristics and state of residence. Proportional changes in cluster variation (PCVs), intraclass correlation coefficients (ICCs), and adjusted odds ratios (aORs) were estimated.

resultsAmong 86,736 nursing home residents from 11,860 nursing homes and 1694 counties, 45% used oral anticoagulants. The odds of oral anticoagulant use were 18% higher in 2016 than 2014 (aOR: 1.18; 95% confidence interval: 1.14-1.22). Most states had counties in the highest (51.3-58.9%) and lowest (31.1%-41.4%) deciles of anticoagulant use. Compared with the null model, adjustment for resident characteristics explained one-third of the variation between counties (PCV: 34.8%). The full model explained 65.5% of between-county variation. Within-county correlation was a small proportion (ICC < 2.2%) of total variation. CONCLUSIONS AND IMPLICATIONS: In this older adult population at high risk for ischemic stroke, less than half of the residents received treatment with anticoagulants. Variation in treatment across counties was partially attributable to the characteristics of residents, nursing homes, and counties. Comparative evidence and refinement of predictive algorithms specific to the nursing home setting may be warranted.

Indexed as

Atrial FibrillationMedicareAgedAnticoagulantsCross-Sectional StudiesHumansNursing HomesUnited StatesAnticoagulantsanticoagulantsAtrial fibrillationnursing homes

Identifiers

PMID33357746
PMCPMC8092949
OpenAlexW3114453963

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.