Contextualizing the lived experiences of patients with low back pain from different countries according to the ICF framework
Bibliographic record
Abstract
OBJECTIVE: To explore perspectives, including social and psychological aspects, of patients seeking manual care for low back pain, in order to understand constructs of functioning that are important across different cultural contexts. The International Classification of Functioning, Disability and Health (ICF) emphasizes the importance of these aspects to describe health-related functioning. DESIGN: Focus group interviews. PATIENTS: Patients from Botswana, Canada and Norway seeking manual care for their low back pain. METHODS: Interviews were conducted in the 3 countries, transcribed verbatim, translated into English, and linked to the ICF according to established rules. RESULTS: Seven focus groups yielded 1,863 meaningful concepts that were linked to ICF categories. The largest proportion of responses linked to the Activities and Participation domain. The most frequently mentioned chapters related to pain and its mental aspects, suggesting that the psychological impact of living with low back pain is important to patients. CONCLUSION: Despite cultural differences, patients seeking manual care for low back pain in Botswana, Canada and Norway reported similar experiences of disability across ICF domains. The relatively high ranking of psychosocial factors highlights their importance for patients, in addition to factors of biological origin, and indicates that the contextual nature of the lived experience of low back pain may not be covered in standard examinations used in manual medicine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".