The Cost of Achalasia: Quantifying the Effect of Symptomatic Disease on Patient Cost Burden, Treatment Time, and Work Productivity
Bibliographic record
Abstract
INTRODUCTION: Although the incidence of achalasia is low, the burden of suffering is high because it is a chronic incurable disease that predominantly affects young persons. This article aims to describe the impact of achalasia on health-related quality of life, patient cost burden, time dedicated to treatment, and work productivity. METHODS: Consecutive patients enrolled in a clinical trial comparing laparoscopic myotomy with pneumatic dilatation from 4 sites across Canada (whose clinical and manometric diagnosis was confirmed) were studied using standardized patient-reported outcomes instruments, including the Achalasia Severity Questionnaire (ASQ), the Medical Outcomes Study 36-item Short Form Questionnaire (SF-36), and the Gastrointestinal Disease-Specific Quality of Life (GIQLI) questionnaire. The authors also measured health care utilization. RESULTS: Questionnaires were completed by 54 patients (median age = 53.5 years; range = 25-78 years; 50.0% male). Patients had been experiencing symptoms for a mean of 4.5 years (standard deviation = 6.1), and 42.6% were on medication for symptom relief. Among them, 74.1% reported that their disease limited their lifestyle. Patients spent an average of CAD$30.70 a month on medication; 37.0% reported that their disease interfered with their work, and patients missed an average of 10.2 days per 6 months. Patients also spent an average of CAD$24.30 on transportation to and from each clinical appointment. CONCLUSION: Achalasia substantially limits the lifestyle of patients with the disease. It also implies a financial burden of care for patients and leads to decreased work productivity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".