Examining the impact of accreditation on a primary healthcare organization in Qatar
Bibliographic record
Abstract
BACKGROUND: Although a modest body of literature exists on accreditation, little research was conducted on the impact of accreditation on primary healthcare organizations in the Middle East. This study assessed the changes resulting from the integration of Accreditation Canada International's accreditation program in a primary healthcare organization in the State of Qatar. METHODS: The study investigated how accreditation helped introduce organizational changes through promoting organizational learning as well as quality improvement initiatives. Applying a quantitative design, a structured questionnaire was used to collect data from 500 staff. The study used Spearman's correlation coefficient to analyze the collected survey data. RESULTS: Overall employees agreed on the positive impact of accreditation. The results showed a significantly positive correlation between staff perception of accreditation and of quality of care. The two dominant cultures at Primary Health Care Corporation were "group" (with a score of 28.61) and "hierarchical" (with a score of 26.59). The results showed a positive correlation between staff perception of accreditation and their perception of culture type whenever the culture was identified as "group". CONCLUSIONS: This study provided much-needed insight on the possible changes that organizations might go through in relation to quality improvement and organizational learning.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".