Evidence map›Paper›PMID 37064592›Full record

ArticleNeurology. Clinical practice2023

Migraine Patient Care Model Preferences in a Community Practice.

Jennifer I Stern, Jon O Ebbert, Robert A Vierkant, Nathan P Young

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jennifer I SternDepartment of Neurology (JIS, NPY); Division of Primary Care Internal Medicine (JOE), Department of Medicine; and Department of Quantitative Health Sciences (RAV), Mayo Clinic, Rochester, MN.
Jon O EbbertDepartment of Neurology (JIS, NPY); Division of Primary Care Internal Medicine (JOE), Department of Medicine; and Department of Quantitative Health Sciences (RAV), Mayo Clinic, Rochester, MN.ORCID https://orcid.org/0000-0002-7975-3704
Robert A VierkantDepartment of Neurology (JIS, NPY); Division of Primary Care Internal Medicine (JOE), Department of Medicine; and Department of Quantitative Health Sciences (RAV), Mayo Clinic, Rochester, MN.
Nathan P YoungDepartment of Neurology (JIS, NPY); Division of Primary Care Internal Medicine (JOE), Department of Medicine; and Department of Quantitative Health Sciences (RAV), Mayo Clinic, Rochester, MN.ORCID https://orcid.org/0000-0001-7788-6493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Developing high-value care models with limited resources for large populations of individuals with migraine requires advanced understanding of patient preferences for care delivery methods. In this study, we aimed to inform the development of migraine care models by assessing patient preferences for types of care delivery and determining differences based on migraine frequency and disability. Methods: We analyzed unpublished data from a cross-sectional survey of 516 randomly selected individuals with migraine within a community practice associated with Mayo Clinic, Rochester, MN. Results: Individuals with chronic migraine, compared with those with episodic migraine, were more likely to prefer a visit with a neurologist ( Discussion: We observed differences in migraine care delivery preferences between migraine frequency and level of migraine disability. Observations support development of care pathways that include a written migraine action plan, primary care-neurology collaboration including nontraditional interactions, and prioritization of traditional neurology consultation for the most disabled patients.

Identifiers

PMID37064592
PMCPMC10101712

What OpenQuestion holds

Textmetadata
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.