Evidence map›Paper›PMID 38582205›Full record

ArticleAnnals of vascular surgery2024

Appropriateness of Care Measures: A Novel Approach to Quality.

Caitlin W Hicks, Michael S Conte, Chen Dun, Martin A Makary

Open access · greenAbstract read
In one paragraph

Article in Annals of vascular surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Caitlin W HicksDivision of Vascular Surgery and Endovascular Therapy, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: chicks11@jhmi.edu.
Michael S ConteDivision of Vascular and Endovascular Surgery, Department of Surgery, University of California, San Francisco, San Francisco, CA.
Chen DunDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Martin A MakaryDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · USUniversity of California, San Francisco · US

Funding

Risk Factors and Outcomes Associated with Late-Life Diabetic Peripheral NeuropathyK23DK124515 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HICKS, CAITLIN WHITNEY · 2020 to 2024
$898k
NIDDK NIH HHS K23 DK124515
6 · The paper itself

Abstract

The clinical judgment of a physician is one of the most important aspects of medical quality, yet it is rarely captured with quality measures in use today. We propose a novel approach using individualized physician benchmarking that measures the appropriateness of care that a physician delivers by looking at their practice pattern in a specific clinical situation. A prime application of our novel approach to appropriateness measures is the surgical management of peripheral artery disease and claudication. We discuss 4 potential consensus metrics for the treatment of claudication that explore appropriateness of care of claudication management and are meaningful, actionable, and quantifiable. Given the multitude of medical specialties involved in the care of patients with peripheral artery disease and the consequences of both preemptive and delayed care, it is in all of our interests to promote data transparency with confidential communications to outlier physicians while advocating for evidence-based management.

Indexed as

BenchmarkingIntermittent ClaudicationPeripheral Arterial DiseaseQuality Indicators, Health CareVascular Surgical ProceduresConsensusHumansOutcome and Process Assessment, Health CarePractice Patterns, Physicians'Treatment Outcome

Identifiers

PMID38582205
PMCPMC11365803
OpenAlexW4393951230

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.