A Primary Care Provider’s Guide to Accessibility After Spinal Cord Injury
Bibliographic record
Abstract
Individuals with spinal cord injury (SCI) continue to have shorter life expectancies, limited ability to receive basic health care, and unmet care needs when compared to the general population. Primary preventive health care services remain underutilized, contributing to an increased risk of secondary complications. Three broad themes have been identified that limit primary care providers (PCPs) in providing good quality care: physical barriers; attitudes, knowledge, and expertise; and systemic barriers. Making significant physical alterations in every primary care clinic is not realistic, but solutions such as seeking out community partnerships that offer accessibility or transportation and scheduling appointments around an individual's needs can mitigate some access issues. Resources that improve provider and staff disability literacy and communication skills should be emphasized. PCPs should also seek out easily accessible practice tools (SCI-specific toolkit, manuals, modules, quick reference guides, and other educational materials) to address any knowledge gaps. From a systemic perspective, it is important to recognize community SCI resources and develop collaboration between primary, secondary, and tertiary care services that can benefit SCI patients. Providers can address some of these barriers that lead to inequitable health care practices and in turn provide good quality, patient-centered care for such vulnerable groups. This article serves to assist PCPs in identifying the challenges of providing equitable care to SCI individuals.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".