Co-designing of Patient Safety Incident Disclosure Process in Primary Healthcare System in Qatar
Bibliographic record
Abstract
The importance of disclosing a patient safety incident to the patient involved is recognized. In Qatar, there is no legal requirement for disclosure. The primary health care system in Qatar includes 30 health centers located around the country, managed by the Primary Health Care Corporation (PHCC). Over 63 nationalities of staff deliver care in the health centers, many coming from countries where a disclosure policy is not implemented, and staff would be reluctant to disclose an incident to a patient for fear of reprimand. Many patients who receive care in the health centers come from countries where the health system culture is not open and transparent with patients. PHCC seeks accreditation of the health centers by Accreditation Canada, which has a required organizational practice of disclosure of patient safety incidents. To maintain accreditation, and consistent with PHCC’s strategy to deliver patient and family-centered care, PHCC needed to develop and implement a disclosure policy and process. The policy and process were co-designed by clinical staff working in the health centers and patients, through a focus group and individual interviews. The resulting policy and process focused on communicating disclosure quickly by a multidisciplinary team, providing for quick access to healthcare services by the patient, and fully documenting the disclosure, using a newly developed electronic record. Staff training, coordination with incident reporting and analysis, and ongoing evaluation were key stages of the implementation. The disclosure process has been in place for five years, with only positive feedback from patients and no legal implications.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".