Evidence map›Paper›PMID 41675011›Full record

ArticleJournal of patient experience2026

Patient Perspectives on Episodic Dizziness and a Hypothetical At-Home Diagnostic Tool.

Donald Paul Keating, Kristen Kay Steenerson, Ankur Gupta, Peter Luke Santa Maria

Abstract read
In one paragraph

Article in Journal of patient experience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Donald Paul KeatingDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0009-0004-0121-2491
Kristen Kay SteenersonDepartment of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Ankur GuptaDepartment of Otolaryngology, University of Louisville School of Medicine, Louisville, KY, USA.
Peter Luke Santa MariaDepartment of Otolaryngology, University of Pittsburg, Pittsburg, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with frequent dizzy attacks will report dissatisfaction with current diagnostic tools and express interest in a wearable at-home dizzy attack monitor. Existing diagnostic approaches for recurrent dizziness are often inadequate, particularly for episodic events that occur outside clinical settings. This study aimed to evaluate patient perspectives on current diagnostic and treatment methods and assess interest in a proposed at-home dizzy attack monitoring device. A cross-sectional survey was administered to 250 adults with self-reported dizzy attacks between December 2021 and January 2022 via Survey Healthcare Global. The survey included expert-reviewed items covering attack frequency, diagnostic experiences, treatment satisfaction, and responses to a conceptual wearable monitor. Of the 250 participants (32% male, 68% female), 43% were dissatisfied with diagnostic tools and 44% with treatments. Dissatisfaction was highest among those experiencing weekly (47% diagnostic, 48% treatment) and daily (46% diagnostic, 54% treatment) attacks. Interest in the hypothetical wearable monitor was reported by 79% overall, increasing to 86% among weekly and 85% among daily attack groups. Patients with frequent dizzy attacks report significant dissatisfaction with current standards of care and show strong interest in novel technology that enables real-time, at-home capture of symptoms to support more accurate diagnosis.

Indexed as

patient expectationspatient experiencepatient-reported experience measurestechnology

Identifiers

PMID41675011
PMCPMC12886721

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.