A patient survey of the impact of fibromyalgia and the journey to diagnosis
Bibliographic record
Abstract
Background: Fibromyalgia is a painful, debilitating illness with a prevalence of 0.5-5.0% that affects women more than men. It has been shown that the diagnosis of fibromyalgia is associated with improved patient satisfaction and reduced healthcare utilization. This survey examined the patient journey to having their condition diagnosed and studied the impact of the condition on their life. Methods: A questionnaire survey of 800 patients with fibromyalgia and 1622 physicians in 6 European countries, Mexico and South Korea. Patients were recruited via their physician. Results: Over half the patients (61%) were aged 36-59 years, 84% were women, and the mean time since experiencing fibromyalgia symptoms was 6.5 years. Patients had experienced multiple fibromyalgia symptoms (mean of 7.3 out of 14), with pain, fatigue, sleeping problems and concentration difficulties being the most commonly reported. Most patients rated their chronic widespread pain as moderate or severe and fibromyalgia symptoms were on average "fairly" to "very" disruptive, and had a "moderate" to "strong" impact on patients' lives. 22% were unable to work and 25% were not able to work all the time because of their fibromyalgia. Patients waited on average almost a year after experiencing symptoms before presenting to a physician, and it took an average of 2.3 years and presenting to 3.7 different physicians before receiving a diagnosis of fibromyalgia. Patients rated receiving a diagnosis as somewhat difficult on average and had difficulties communicating their symptoms to the physician. Over one third (35%) felt their chronic widespread pain was not well managed by their current treatment. Conclusions: This survey provides further evidence that fibromyalgia is characterized by multiple symptoms and has a notable impact on quality of life and function. The diagnosis of fibromyalgia is delayed. Patients wait a significant period of time before presenting to a physician, adding to the prolonged time to diagnosis. Patients typically present with a multitude of symptoms, all resulting in a delay in diagnosis and eventual management. Helping clinicians to diagnose and manage patients with fibromyalgia should benefit both patients and funders of healthcare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".