Evidence map›Paper›PMID 32128687›Full record

ArticleJournal of general internal medicine2020

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement.

Theresa A Rowe, Tiffany Brown, Ji Young Lee, Jeffrey A Linder, Mark W Friedberg, Jason N Doctor, Daniella Meeker, Jody D Ciolino, Stephen D Persell

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2020. 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
2.4field-weighted citation impact, top 9% 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, 9 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Theresa A RoweDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. theresa.rowe@northwestern.edu.ORCID 0000-0003-0659-1094
Tiffany BrownDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Ji Young LeeDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jeffrey A LinderDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Mark W FriedbergRAND Corporation, Boston, MA, USA.
Jason N DoctorUniversity of Southern California Keck School of Medicine, Los Angeles, CA, USA.
Daniella MeekerUniversity of Southern California Keck School of Medicine, Los Angeles, CA, USA.
Jody D CiolinoDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Stephen D PersellDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Northwestern University · USUniversity of Southern California · USBrigham and Women's Hospital · US

Funding

Behavioral Economics Applications to Geriatrics Leveraging EHRs (BEAGLE)R21AG057383 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PERSELL, STEPHEN · 2017 to 2018
$463k
NIA NIH HHS R21 AG057383NIA NIH HHS R21AG057383
6 · The paper itself

Abstract

importanceThe extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood.

objectiveTo examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults.

designRetrospective analysis of overall means and clinician-level variation in performance on three new measures. SUBJECTS: Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017. MEASURES: Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication.

resultsSixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively.

conclusionsWithin the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Indexed as

Diabetes MellitusGeriatricsAgedFemaleGlycated HemoglobinHumansMaleProstate-Specific AntigenRetrospective StudiesUnited StatesGlycated HemoglobinProstate-Specific Antigen

Identifiers

PMID32128687
PMCPMC7280408
OpenAlexW3010377380

What OpenQuestion holds

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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.