Evidence map›Paper›PMID 29214512›Full record

ArticleDrugs & aging2017

Anticholinergic Prescribing in Medicare Part D Beneficiaries Residing in Nursing Homes: Results from a Retrospective Cross-Sectional Analysis of Medicare Data.

Joshua Niznik, Xinhua Zhao, Tao Jiang, Joseph T Hanlon, Sherrie L Aspinall, Joshua Thorpe, Carolyn Thorpe

Abstract read
In one paragraph

Article in Drugs & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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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

7 authors.

Joshua NiznikDepartment of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA. jdn18@pitt.edu.ORCID 0000-0003-1466-5751
Xinhua ZhaoVA Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA.
Tao JiangUniversity of Pittsburgh, Pittsburgh, USA.
Joseph T HanlonVA Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA.
Sherrie L AspinallVA Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA.
Joshua ThorpeVA Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA.
Carolyn ThorpeVA Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA.

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
Improving Outcomes of UTI in LTC Facilities: The IOU StudyR18HS023779 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NACE, DAVID A. · 2015 to 2017
$1.4M
Agency for Healthcare Research and Quality R18 HS023779AHRQ HHS R18 HS023779NIA NIH HHS P30 AG024827NIA NIH HHS P30AG024827NIA NIH HHS T32 AG021885NIA NIH HHS T32AG021885
6 · The paper itself

Abstract

backgroundPrescribing of medications with anticholinergic properties in older nursing home residents is relatively common, despite an association with an increased risk for falls, delirium, and other outcomes. Few studies have investigated what factors influence different levels of prescribing of these agents.

objectivesThe primary objective was to identify factors associated with low- and high-level anticholinergic burden in nursing home residents. A secondary objective was to examine in detail the contribution of different medications to low versus high burden to aid in determining which drugs to target in interventions.

methodsThis was a retrospective, cross-sectional analysis of a national sample of 2009-2010 Medicare Part A and B claims, Part D prescription drug events, and Minimum Data Set (MDS) v2.0 assessments. The cohort included 4730 Medicare beneficiaries aged ≥ 65 years with continuous Medicare Parts A, B, and D enrollment, admitted for non-skilled stays of ≥ 14 days between 1 January 2010 and 30 September 2010. Anticholinergic burden was defined using the Anticholinergic Cognitive Burden (ACB) scale. Medication scores were summed at the patient level and categorized as high (score ≥ 3), low (score 1-2), or none. Baseline predisposing factors (age, sex, race/ethnicity), enabling factors (prior year hospitalization, emergency department, primary care, specialist visits; region; Medicaid/low-income subsidy), and medical need factors (dementia severity, anti-dementia medication, Charlson co-morbidity index [CCI], select comorbidities) were evaluated for association with anticholinergic burden using multinomial logistic regression.

resultsOverall, 29.6% of subjects had a high anticholinergic burden and 35.2% had a low burden. High burden was most often (72%) due to one highly anticholinergic medication rather than a cumulative effect. In adjusted analyses, factors associated with increased risk of both low and high anticholinergic burden included comorbidity, antidementia medication, depression, hypertension, and prior year hospitalization. Older age was associated with decreased odds of high anticholinergic burden. Urinary incontinence and prior year specialist visit were associated with increased odds of high anticholinergic burden. Severe and nonsevere dementia were associated with decreased odds of low burden but increased odds of high burden.

conclusionAlmost two-thirds of nursing home patients have some degree of anticholinergic burden. Several medical need variables are significantly associated with increased risk for low and high anticholinergic burden. Interventions should be developed to optimize prescribing for residents at increased risk of receiving medications with anticholinergic properties. Future study is needed to evaluate the difference in the risk of adverse outcomes associated with various levels of anticholinergic burden.

Indexed as

AgedAged, 80 and overCholinergic AntagonistsComorbidityCross-Sectional StudiesDementiaFemaleHospitalizationHumansMaleMedicare Part DNursing HomesRetrospective StudiesUnited StatesCholinergic Antagonists

Identifiers

PMID29214512
PMCPMC5734663

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.