Evidence map›Paper›PMID 31782129›Full record

ArticleDrugs & aging2020

Frequency and Predictors of Polypharmacy in US Medicare Patients: A Cross-Sectional Analysis at the Patient and Physician Levels.

Michael I Ellenbogen, Peiqi Wang, Heidi N Overton, Christine Fahim, Angela Park, William E Bruhn, Jennifer L Carnahan, Amy M Linsky, Seki A Balogun, Martin A Makary

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Drugs & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05091879 (Implementation and Evaluation of Preemptive Pharmacogenomics Testing in an Aging Population), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05091879 nacompletednot on this mapstarted 2023, after this paper: background citation

Implementation and Evaluation of Preemptive Pharmacogenomics Testing in an Aging Population

TypeinterventionalSponsorGeisinger ClinicRan2023 to 2026Enrolled66ConditionsPolypharmacy, Pharmacogenomic TestingArmsMultigene pharmacogenomics test
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 27 citations in OpenAlex.

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  17. Fragmented Ambulatory Care and Medication Count among Older Adults.American journal of medical quality : the official journal of the American College of Medical Quality
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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

10 authors at 4 institutions in 1 country.

Michael I EllenbogenDepartment of Medicine, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Meyer 8-134P, Baltimore, MD, 21287, USA. mellenb6@jhmi.edu.ORCID 0000-0003-0701-8054
Peiqi WangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Heidi N OvertonDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christine FahimDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Angela ParkDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
William E BruhnDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jennifer L CarnahanDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Amy M LinskySection of General Internal Medicine and Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Seki A BalogunDivision of General Medicine, Geriatrics and Palliative, University of Virginia School of Medicine, Charlottesville, VA, USA.
Martin A MakaryDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USBoston Medical Center · USRegenstrief Institute · USUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypharmacy in older patients increases the risk of medication-related adverse events and can be a marker of unnecessary care.

objectivesThe aim of this study was to describe the frequency of polypharmacy among patients 65 years of age or older and identify factors associated with the occurrence of patient-level and physician-level polypharmacy.

methodsWe performed a cross-sectional analysis of 100% Medicare claims data from January 1, 2016 to December 31, 2016. All patients with continuous Medicare coverage (Parts A, B, and D) throughout 2016 who were 65 years of age or older and who were prescribed at least one medication for at least 30 days were included in the analysis. Each patient was attributed to the primary care physician who prescribed them the most medications. Physicians treating fewer than ten patients were excluded. We defined polypharmacy based on the highest number of concurrent medications at any point during the year. We used hierarchical linear regression to study patient- and physician-level characteristics associated with high prescribing rates.

resultsWe identified 25,747,560 patients attributed to 147,879 primary care physicians. The patient-level mean [standard deviation (SD)] concurrent medication rate was 5.6 (3.3), and the physician-level mean (SD) was 5.6 (1.1). A total of 6108 physicians (4.1% of sample) had a mean concurrent number of medications greater than two SDs above the physician-level mean. At the patient level in the adjusted model, a history of HIV/AIDS, diabetes mellitus, solid organ transplant, and systolic heart failure were the comorbidities most strongly associated with polypharmacy. The relative difference in number of medications associated with these comorbidities were 1.89, 1.39, 1.32, and 1.06, respectively. At the physician level, increased time since medical school graduation and smaller practice size were associated with lower rates of polypharmacy.

conclusionsPatterns of high prescribing to older patients is common and measurable at the physician level. Addressing high outlier prescribers may represent an opportunity to reduce avoidable harm and excessive costs.

Indexed as

PolypharmacyAgedComorbidityCross-Sectional StudiesDrug-Related Side Effects and Adverse ReactionsDrug UtilizationFemaleHumansMaleMedicareMiddle AgedPractice Patterns, Physicians'PrognosisUnited States

Identifiers

PMID31782129
OpenAlexW2990091074

What OpenQuestion holds

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Registered trials

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.