A Scoping Review of Gaps Identified by Primary Care Providers in Caring for Patients with Chronic Noncancer Pain
Bibliographic record
Abstract
Introduction/Aim: Primary care providers (PCPs), who provide the bulk of care for patients with chronic noncancer pain (CNCP), often report knowledge gaps, limited resources, and difficult patient encounters while managing chronic pain. This scoping review seeks to evaluate gaps identified by PCPs in providing care to patients with chronic pain. Methods: The Arksey and O'Malley framework was used for this scoping review. A broad literature search was conducted for relevant articles on gaps in knowledge and skills of PCPs and in their health care environment for managing chronic pain, with multiple search term derivatives for concepts of interest. Articles from the initial search were screened for relevance, yielding 31 studies. Inductive and deductive thematic analysis was adopted. Results: The studies included in this review reflected a variety of study designs, settings, and methods. However, consistent themes emerged with respect to gaps in knowledge and skills for assessment, diagnosis, treatment, and interprofessional roles in chronic pain, as well as broader systemic issues including attitudes toward CNCP. A general lack of confidence in tapering high dose or ineffective opioid regimes, professional isolation, challenges in managing patients with CNCP with complex needs, and limited access to pain specialists were reported by PCPs. Discussion/Conclusions: This scoping review revealed common elements across the selected studies that will be useful in guiding creation of targeted supports for PCPs to manage CNCP. This review also yielded insights for pain clinicians at tertiary centers for supporting their PCP colleagues as well as systemic reforms required to support patients with CNCP.
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How this classification was reachedexpand
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".