Evidence map›Paper›PMID 35041218›Full record

ArticleHeadache2022

Headache neuroimaging: A survey of current practice, barriers, and facilitators to optimal use.

Evan L Reynolds, James F Burke, Lacey Evans, Faiz I Syed, Eric Liao, Remy Lobo, Wade Cooper, Larry Charleston, Brian C Callaghan

Open access · greenAbstract read
In one paragraph

Article in Headache, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Characteristics of White Matter Hyperintensities in Patients With Migraine.Frontiers in pain research (Lausanne, Switzerland) · 2022
    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

9 authors at 3 institutions in 1 country.

Evan L ReynoldsDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-0138-8436
James F BurkeDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Lacey EvansVA Center for Clinical Management Research, Ann Arbor, Michigan, USA.
Faiz I SyedDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Eric LiaoDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Remy LoboDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Wade CooperDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
Larry CharlestonCollege of Human Medicine, Michigan State University, East Lansing, Michigan, USA.
Brian C CallaghanDepartment of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan · USHeadache Care Center · USVA Center for Clinical Management Research · US

Funding

TRAINING IN CLINICAL AND BASIC NEUROSCIENCET32NS007222 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 1985 to 2026
$8.0M
Optimizing the approach to headache neuroimagingI01CX001504 · VA · VETERANS HEALTH ADMINISTRATION · PI CALLAGHAN, BRIAN CHRISTOPHER · 2018 to 2021
–
CSRD VA I01 CX001504NIH HHS T32NS0007222NINDS NIH HHS T32 NS007222
6 · The paper itself

Abstract

objectiveThe objective of this study was to understand current practice, clinician understanding, attitudes, barriers, and facilitators to optimal headache neuroimaging practices.

backgroundHeadaches are common in adults, and neuroimaging for these patients is common, costly, and increasing. Although guidelines recommend against routine headache neuroimaging in low-risk scenarios, guideline-discordant neuroimaging is still frequently performed.

methodsWe administered a 60-item survey to headache clinicians at the Veterans Affairs health system to assess clinician understanding and attitudes on headache neuroimaging and to determine neuroimaging practice patterns for three scenarios describing hypothetical patients with headaches. Descriptive statistics were used to summarize responses, stratified by clinician type (physicians or advanced practice clinicians [APCs]) and specialty (neurology or primary care).

resultsThe survey was successfully completed by 431 of 1426 clinicians (30.2% response rate). Overall, 317 of 429 (73.9%) believed neuroimaging was overused for patients with headaches. However, clinicians would utilize neuroimaging a mean (SD) 30.9% (31.7) of the time in a low-risk scenario without red flags, and a mean 67.1% (31.9) of the time in the presence of minor red flags. Clinicians had stronger beliefs in the potential benefits (268/429, 62.5%) of neuroimaging compared to harms (181/429, 42.2%) and more clinicians were bothered by harms stemming from the omission of neuroimaging (377/426, 88.5%) compared to commission (329/424, 77.6%). Additionally, APCs utilized neuroimaging more frequently than physicians and were more receptive to potential interventions to improve neuroimaging utilization.

conclusionsAlthough a majority of clinicians believed neuroimaging was overused for patients with headaches, many would utilize neuroimaging in low-risk scenarios with a small probability of changing management. Future studies are needed to define the role of currently used red flags given their importance in neuroimaging decisions. Importantly, APCs may be an ideal target for future optimization efforts.

Indexed as

Attitude of Health PersonnelFacilities and Services UtilizationMagnetic Resonance ImagingNeuroimagingHeadacheHeadache DisordersHealth Care SurveysHumansNurse PractitionersPhysician AssistantsPhysiciansUnited StatesUnited States Department of Veterans Affairsheadachehealthcare utilizationmagnetic resonance imagingneuroimagingred flags

Identifiers

PMID35041218
PMCPMC9053599
OpenAlexW4205102515

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.