Results of a Multimodal Treatment Program for Patients With Chronic Symptoms After a Whiplash Injury of the Neck
Bibliographic record
Abstract
STUDY DESIGN: A descriptive case series pre- and post-treatment design, including a 6-month follow-up. OBJECTIVES: The objective of this study was to document the improvements of patients with chronic symptoms after a "whiplash" injury of the neck, who attended a 4-week multimodal treatment program at the Rug AdviesCentra Nederland. SUMMARY OF BACKGROUND DATA: To the authors' knowledge, no studies have been conducted on the effectiveness of multidisciplinary treatment of chronic symptoms after whiplash injury. METHODS: Twenty-six patients who experienced Quebec type 1 or 2 lesions of the neck (whiplash) with persisting symptoms of longer than 6 months' duration participated in the study. The measures included were pain intensity (according to the visual analog scale), number of painful sites (determined by pain drawing), self-reported disability Quebec Back Pain Disability Scale; and symptoms of somatic and psychological distress and cognitive symptoms (according to selected Minnesota Multiphasic Personality Inventory-2 scales). Furthermore, objective outcome criteria were used regarding return to work, medication, and medical and paramedical treatment. Statistical and clinical significance of treatment results were both assessed. RESULTS: The patients' symptoms improved significantly on nearly all self-report measures. Their scores for objective outcome criteria reported during the 6-month follow-up evaluation were: complete return to work (65%); complete or partial return to work (92%); no use of analgesics in the past 6 months (58%); and no medical or paramedical treatments in the past 6 months (81%). CONCLUSION: These early results indicate that a multimodal treatment program has the potential to be an effective treatment for patients with chronic symptoms after a whiplash injury of the neck--a group of patients who have in the past been considered intractable or, at the very least, puzzling.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".