Organizational changes in diabetic foot care practices for patients at low and moderate risk after implementing a comprehensive foot care program in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: Neuropathy and vasculopathy can lead to costly and debilitating complications in people with diabetes. The purpose of this study was to evaluate, at an organizational level, uptake of practices included in a diabetic foot care clinical pathway and associated resources. This research focused on patients at low and moderate risk in Alberta, Canada between 2014 to 2019. METHODS: Serial surveys (2014, 2019) of practices related to screening and care of the feet of people with diabetes. Surveys were administered using a combination of targeted and snowball sampling in order to assess the impact of the clinical pathway first implemented in 2015. The pathway focused on screening, assessment and referral of patients from primary care. High-risk foot teams (HRFT) were established at six sites to provide increased access to specialty care. Comparative statistics were performed to assess differences in footcare practices between 2014 and 2019 using two-tailed Fisher's exact test or Chi-square test. RESULTS: Respondents (n = 104, 2014 and n = 75, 2019) included personnel from primary health care, home care and long-term care, acute and emergency care, specialty clinics, diabetes-specific programs and private contractors. The proportion of primary care and home care/long-term care (HC/LTC) sites providing screening increased significantly (p < 0.05). A significant increase in the proportion of sites providing assessment for patients designated as moderate risk also increased from 35% (34 out of 96 sites) to 55% (36 out of 65 sites) (p < 0.05), particularly with respect to vascular assessment, and the proportion of sites reporting appropriate follow-up intervals according to the pathway recommendation was also improved. CONCLUSION: Provision of a clinical pathway for diabetic foot care along with education and resources led to increased screening in primary care and HC/LTC settings in Alberta, Canada. HRFT provided primary healthcare providers with an important option for referral and also provided increased expertise for procedures such as vascular assessment for patients with moderate risk of ulceration. This comprehensive model has the potential to reduce progression of foot problems and overall health services utilization. Further analyses of outcomes such as incident lower limb amputation and long-term cost-effectiveness of pathway implementation are underway.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".