Experiences of patients with a disability in receiving primary health care
Bibliographic record
Abstract
OBJECTIVE: To use patient-guided tours to gain insight into the experiences of patients with disabilities receiving primary care, with the goal of suggesting improvements. DESIGN: A qualitative experience-based design study, using patient-guided tours. SETTING: Multidisciplinary academic urban primary care practice. PARTICIPANTS: Patients with disabilities identified by their health care providers. METHODS: Patients walked through the clinic as they would on a "typical visit" describing their feelings and experiences. The investigator used a semistructured interview guide to prompt the patient. The tour was audiorecorded and transcribed. Thematic content analysis was used. MAIN FINDINGS: Participants included 18 patients with various disabilities (physical disability, sensory disability, chronic illness, mental illness, learning disability, developmental disability). Strong positive relationships, particularly with the team and administrative staff, profoundly affected perceived access and experience of care. Multidirectional, clear, and respectful communication independently improved patients' experiences dramatically. Participants said that many access, coordination, and physical barriers were eased by team relationships and communication. Physical space and building issues were troublesome for those with physical and mental disabilities alike. Each participant's disability itself played a role in their experience but was not described as prominently as their relationship, communication, and spatial challenges. Participants described the patient-guided tour method as valuable to elicit experiences and feelings. CONCLUSION: Some health care teams are unaware of how relationships and communication affect every aspect of health care for people with disabilities. Highlighting these findings with providers and organizations might prompt a more patient-centred model of care. Our experience-based design consisting of patient-guided tours was effective in assessing how those with disabilities experienced care.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".