Evidence map›Paper›PMID 41858999›Full record

ArticlePEC innovation2026

Understanding essential aspects of fibromyalgia care through a qualitative study of patient feedback.

Catherine Pressimone, Caroline Cao, Jillian Kyle, Rachel Vanderberg

Abstract read
In one paragraph

Article in PEC innovation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Catherine PressimoneDepartment of Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, USA.
Caroline CaoDepartment of Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, USA.
Jillian KyleDepartment of Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, USA.
Rachel VanderbergDepartment of Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Fibromyalgia (FM) is a common, chronic pain syndrome; however, patients with FM report that providers are often ill-equipped to manage this condition. We created an internal medicine-based FM Clinic to address this void and provide evidence-based, patient-centered FM care. This qualitative study aimed to analyze patient experience in the FM Clinic. Methods: Patients were eligible for this study if they met the American College of Rheumatology 2016 diagnostic criteria for FM, attended at least 2 clinic appointments, and completed at least two Revised Fibromyalgia Impact Questionnaires (FIQRs). Eligible patients were interviewed regarding overall experience, helpful clinic features, and areas for improvement. Results were qualitatively analyzed to identify themes. Results: Fifty-six patients met inclusion criteria and were interviewed. Four overarching themes were identified: (1) prior negative healthcare experiences, (2) appreciation for safe spaces, (3) identification of clinic features that optimized FM care, and (4) areas for improvement. Innovation: Current patient perspectives regarding FM care delivery models are limited and focused on non-pharmacologic group-based interventions. This study is the first to explore patient perspectives on an individualized care delivery model. Conclusions: This study identifies patient-valued elements of FM care that can inform the development of similar care models or FM care provided in other clinical settings.

Indexed as

Chronic painempathyFibromyalgiapatient-centered carePatient experienceProvider communicationQualitative study

Identifiers

PMID41858999
PMCPMC12997196

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.