What is usual care for low back pain? A systematic review of health care provided to patients with low back pain in family practice and emergency departments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International clinical practice guidelines for low back pain (LBP) contain consistent recommendations including universal provision of information and advice to remain active, discouraging routine referral for imaging, and limited prescription of opioids. This systematic review describes usual care provided by first-contact physicians to patients with LBP. Studies that reported the assessments and care provided to people with LBP in family practice and emergency departments (EDs) from January 2000 to May 2019 were identified by searches of PubMed, EMBASE, and CINAHL. Study quality was assessed with reference to representativeness of samples, potential misclassification of patients, potential misclassification of outcomes, inconsistent data and precision of the estimate, and the findings of high-quality studies were prioritized in the data synthesis. We included 26 studies that reported data from almost 195,000 patients: 18 from family practice, and 8 from EDs. Less than 20% of patients with LBP received evidence-based information and advice from their family practitioner. Around 1 in 4 patients with LBP received referral for imaging in family practice and 1 in 3 in EDs. Up to 30% of patients with LBP were prescribed opioids in family practice and up to 60% in EDs. Large numbers of patients who saw a physician for LBP received care that is inconsistent with evidence-based clinical practice guidelines. Usual care included overuse of imaging and opioid prescription and underuse of advice and information. Suboptimal care may contribute to the massive burden of the condition worldwide.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it