Herpes zoster‐associated severity and duration of pain, health‐related quality of life, and healthcare utilization in <scp>T</scp>aiwan: a prospective observational study
Bibliographic record
Abstract
BACKGROUND: To assess the severity and duration of herpes zoster (HZ)-associated pain (ZAP) and its impact on quality of life (QoL) and healthcare utilization (HCRU) from a patient perspective in routine care in Taiwan. METHODS: A prospective, observational, single-cohort study was conducted in five centers across Taiwan. Patients were recruited at different time points during their HZ episode and were followed for ≤180 days. ZAP was assessed with the Initial Zoster Impact Questionnaire and the Zoster Brief Pain Inventory, QoL with the EQ-5D, and HCRU with a simple questionnaire. RESULTS: A total of 150 patients were included with a mean age of 64.9 years and mean time since rash onset of 18.8 days. Prodromal pain was experienced by 64.7% of patients, of whom 91.8% reported moderate-to-severe pain. At enrollment, 98.0% of patients experienced ZAP. Mean ± SD worst pain score decreased from 5.95 ± 3.09 at enrollment to 2.65 ± 2.98 at 30 days and 0.28 ± 0.83 at 180 days. Postherpetic neuralgia was observed in 20.7% of patients. Mean ± SD EQ-5D score significantly decreased (P < 0.001) from 0.91 ± 0.16 before rash onset to 0.67 ± 0.18 after rash onset, showing significant QoL deterioration up to 60 days. The impact of HZ on QoL and pain severity was similar across age groups. Significant HCRU was observed including visits to the doctor (83.3% of patients), specialist (30.7%), emergency department (24.7%), physiotherapist (23.3%), and hospitalizations (20.7%). CONCLUSION: Severe morbidity and significant HCRU are associated with HZ in Taiwan, supporting the need for early intervention and preventive strategies to reduce the HZ-associated burden of illness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".