Adherence to Anticoagulation Ambulatory during the Beginning of Coronavirus Pandemic
Bibliographic record
Abstract
INTRODUCTION: Treatment with Vitamin K Antagonists is already proven to be significant in reducing thromboembolic events in patients with indications for systemic anticoagulation. In the context of ambulatory adherence, the SARS-CoV2 coronavirus pandemic emerged as a challenge for managing patients undergoing anticoagulation. METHODS: To avoid crowding and follow the recommended measures of social distancing, the Anticoagulation Ambulatory of the Hospital Universitário de Santa Maria started to adopt a differentiated model of care, with a collection of hospital prothrombin time and immediate home return, followed by teleconsultation, with medication adjustment, as necessary. The present study aimed to assess adherence to the new care model, as well as the profile of patients seen. A retrospective cohort study was conducted, analyzing consultations between March and May 2020. RESULTS: The results demonstrate a low-educated population (76% had completed elementary school at most). The most common indications for the use of oral anticoagulation were atrial fibrillation (33.6%), followed by mechanical aortic valve prosthesis (31.3%) and mechanical mitral valve prosthesis (17.2%). Regarding adherence, especially to blood collection in the scheduled period, there was low adherence in the initial weeks of the pandemic declaration, with substantial improvement in adherence in the last two weeks of analysis. CONCLUSION: Determining the clinical characteristics and profile of patients helps to determine the local needs of this population and implement active search strategies to improve adherence rates, which may reduce unfavorable outcomes.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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".