Impact of a primary healthcare quality improvement program on diabetes in Canada: evaluation of the Quality Improvement and Innovation Partnership (QIIP)
Bibliographic record
Abstract
OBJECTIVE: Primary healthcare (PHC) quality improvement (QI) initiatives are designed to improve patient care and health outcomes. We evaluated the Quality Improvement and Innovation Partnership (QIIP), an Ontario-wide PHC QI program on access to care, diabetes management and colorectal cancer screening. This manuscript highlights the impact of QIIP on diabetes outcomes and associated vascular risk factors. RESEARCH DESIGN AND METHODS: A cluster matched-control, retrospective prechart and postchart audit was conducted. One physician per QIIP-PHC team (N=34) and control (N=34) were recruited for the audit. Eligible charts were reviewed for prespecified type 2 diabetes mellitus clinical process and outcome data at baseline, during (intervention range: 15-17.5 months) and post. Primary outcome measures were the A1c of patients above study target and proportion of patients with an annual foot exam. Secondary outcome measures included glycemic, hypertension and lipid outcomes and management, screening for diabetes-related complications, healthcare utilization, and diabetes counseling, education and self-management goal setting. RESULTS: More patients in the QIIP group achieved statistically improved lipid testing, eye examinations, peripheral neuropathy exams, and documented body mass index. No statistical differences in A1c, low-density lipoprotein or systolic/diastolic blood pressure values were noted, with no significant differences in medication prescription, specialist referrals, or chart-reported diabetes counseling, education or self-management goals. Patients of QIIP physicians had significantly more PHC visits. CONCLUSION: The QIIP-learning collaborative program evaluation using stratified random selection of participants and the inclusion of a control group makes this one of the most rigorous and promising efforts to date evaluating the impact of a QI program in PHC. The chart audit component of this evaluation highlighted that while QIIP improved some secondary diabetes measures, no improvements in clinical outcomes were noted. This study highlights the importance of formalized evaluation of QI initiatives to provide an evidence base to inform future program planning and scale-up.
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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 | 0.025 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".