Therapeutic Adherence and Podiatric Care Related to the Development of Diabetic Foot in Patients Enrolled in the Chronic Disease Care Program, Perla Maria Norori Health Center, León, III Quarter, 2023
Bibliographic record
Abstract
According to the World Health Organization, chronic diseases such as diabetes mellitus are long-term conditions that tend to progress slowly like diabetic foot.These diseases occupy the first places in terms of impact, representing a priority problem for Public Health.The objective of the study was to analyze therapeutic adherence and podiatric care related to the development of diabetic foot in patients enrolled in the chronic disease care program, Perla Mara Norori Health Center, Len, III quarter, 2023.This is an epidemiological study, Analytical nested cases and controls, consists of a universe of 183 participants.The information collection process was carried out through an online survey.Wagner's classification was used for identification and classification of cases, the statistical analysis was carried out using the SPSS version 24 statistical package.The average age was 48 years, with 54% of male participants, the majority lived in urban areas (79%), 40% had only completed primary school and 53% were single.Regarding therapeutic adherence, it was found that 39 patients with diabetic foot were unaware of Diabetes Mellitus (P-value 0.000, OR 7.239; 95% CI: 3.641-14.393);53 patients did not comply with therapeutic adherence (P-value 0.000, OR 38.278; 95% CI: 15.623-93.783).In podiatric care, it is highlighted that: 47 participants had inadequate drying of their feet (sudden drying), (P-value 0.000, OR 17.121; 95% CI: 7.964-36.809),and 58 participants had inadequate nail cutting (oval cut), (P-value 0.000, OR 56.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".