Understanding the impact of accreditation on quality in healthcare: A grounded theory approach
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
OBJECTIVE: To explore how organizations respond to and interact with the accreditation process and the actual and potential mechanisms through which accreditation may influence quality. DESIGN: Qualitative grounded theory study. SETTING: Organizations who had participated in Accreditation Canada's Qmentum program during January 2014-June 2016. PARTICIPANTS: Individuals who had coordinated the accreditation process or were involved in managing or promoting quality. RESULTS: The accreditation process is largely viewed as a quality assurance process, which often feeds in to quality improvement activities if the feedback aligns with organizational priorities. Three key stages are required for accreditation to impact quality: coherence, organizational buy-in and organizational action. These stages map to constructs outlined in Normalization Process Theory. Coherence is established when an organization and its staff perceive that accreditation aligns with the organization's beliefs, context and model of service delivery. Organizational buy-in is established when there is both a conceptual champion and an operational champion, and is influenced by both internal and external contextual factors. Quality improvement action occurs when organizations take purposeful action in response to observations, feedback or self-reflection resulting from the accreditation process. CONCLUSIONS: The accreditation process has the potential to influence quality through a series of three mechanisms: coherence, organizational buy-in and collective quality improvement action. Internal and external contextual factors, including individual characteristics, influence an organization's experience of accreditation.
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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 | 0.026 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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