Costs of moderate to severe chronic pain in primary care patients – a study of the ACCORD Program
Bibliographic record
Abstract
BACKGROUND: The economic burden of chronic noncancer pain (CNCP) remains insufficiently documented in primary care. PURPOSE: To evaluate the annual direct health care costs and productivity costs associated with moderate to severe CNCP in primary care patients taking into account their pain disability. MATERIALS AND METHODS: Patients reporting noncancer pain for at least 6 months, at a pain intensity of 4 or more on a 0 (no pain) to 10 (worst possible pain) intensity scale, and at a frequency of at least 2 days a week, were recruited from community pharmacies. Patients' characteristics, health care utilization, and productivity losses (absenteeism and presenteeism) were documented using administrative databases, pharmacies' renewal charts, telephone, and self-administered questionnaires. Patients were stratified by tertile of pain disability measured by the Brief Pain Inventory questionnaire. RESULTS: Patients (number =483) were, on average, 59 years old, mainly women (67.5%), and suffered from CNCP for a mean of 12 years at an average pain intensity of 6.5±1.9. The annual direct health care costs and productivity costs averaged CAD $9,565 (±$13,993) and CAD $7,072 (±$11,716), respectively. The use of complementary health care services accounted for almost 50% of the direct health care costs. The mean adjusted total direct health care costs (considering pain-related hospitalizations only) and productivity costs increased with more pain disability: low disability, CAD $12,118; moderate, CAD $18,278; and severe, CAD $19,216; P=0.001. CONCLUSION: The economic burden of CNCP is substantial and increases with the level of pain disability, which suggests the need for and potential benefits of improving CNCP management through specific and adapted treatment plans targeting the impact of pain on daily functioning.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".