Understanding Patient Perspectives on Specialized, Longitudinal, Postpartum, Cardiovascular Risk-Reduction Clinics
Bibliographic record
Abstract
Background: Females who experience hypertensive disorders of pregnancy (HDP) have an increased lifelong risk of cardiovascular disease. Thus, Canadian clinical practice guidelines recommend cardiovascular risk reduction follow-up after a patient has HDP. This study examined the experiences of patients with HDP who attended a specialized, longitudinal general internal medicine postpartum cardiovascular risk reduction clinic called PreVASC. PreVASC focuses on comprehensive cardiovascular risk reduction through cardiovascular risk factor screening and management tailored specifically for female patients after they have HDP. Methods: This multimethod study examined the experiences of female patients with HDP via the following: (i) a quantitative survey (summarized with descriptive statistics); (ii) semistructured qualitative patient phone interviews (results grouped thematically); and (iii) triangulation of qualitative themes with quantitative survey results. Results: Overall, 37% of eligible clinic patients (42 of 115) participated; 79% of participants (n = 33) reported being "very satisfied" with the PreVASC clinic's specialized longitudinal model of care, and 95% (n = 40) reported making at least one preventive health behaviour change after receiving individualized counselling on cardiovascular risk reduction. Qualitative results found improvements in patient-reported cardiovascular health knowledge, health behaviours, and health-related anxiety. A preference for in-person vs phone clinic visits was reported by participants. Conclusions: An in-person, general internal medicine specialist-led, longitudinal model of cardiovascular disease preventive care focused specifically on cardiovascular risk reduction after HDP had positive impacts on patient experience, health knowledge, and preventive health behaviours. This novel knowledge on patient preferences for a longitudinal, specialized model of care advances cardiovascular risk reduction tailored specifically for high-risk people after HDP.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".