What influences retrospective self-appraised recovery status among Danes with low-back problems? A comparative qualitative investigation
Bibliographic record
Abstract
STUDY DESIGN: Phenomenological, qualitative investigation. The discord between commonly used outcome measures and patients' self-perceived recovery is problematic in the investigation and rehabilitation of low-back pain-related disorders. To better understand the course and development of this costly and disabling condition, the complex process of patient recovery requires further elucidation. OBJECTIVE: To explore issues and experiences impacting retrospective, self-appraised recovery. METHODS: Semi-structured interviews were conducted with 32 purposively sampled individuals, after which computer-assisted substantive categorization and thematic analysis was performed. RESULTS: Self-appraised status could be determined as "recovered" for 17 respondents, "unsure" for 6, and "not recovered" for 9. Recovery/non-recovery hinged on continued pain-related issues and the perception that injury/trauma made recovery impossible. Individuals who had difficulties relating the recovery construct to their context as well as those who were sceptical of pain-free periods were unable to appraise their status. CONCLUSION: This investigation confirms that pain is central to the resolution of recurrent low-back pain associated disorders. However, recovery also involves "redefinition" and "readjustment". In the investigation and rehabilitation of ambiguous, regional musculoskeletal disorders, our results provide further sensitizing concepts, derived through naturalistic observation, that are useful in the development of a more comprehensive explanatory framework of patient recovery.
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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 | 0.017 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".