My Hypertension Education and Reaching Target (MyHEART): Development and Dissemination of a Patient-Centered Website for Young Adults with Hypertension
Bibliographic record
Abstract
BACKGROUND: Young adults (18 to 39 years old) with hypertension have the lowest rates of blood pressure control (defined as blood pressure less than 140/90 mmHg) compared to other adult age groups. Approximately 1 in 15 young adults have high blood pressure, increasing their risk of future heart attack, stroke, congestive heart failure, and/or chronic kidney disease. Many young adults reported having few resources to address their needs for health education on managing cardiovascular risk. OBJECTIVE: The goal of our study was to develop and disseminate a website with evidence-based, clinical information and health behavior resources tailored to young adults with hypertension. METHODS: In collaboration with young adults, health systems, and community stakeholders, the My Hypertension Education and Reaching Target (MyHEART) website was created. A toolkit was also developed for clinicians and healthcare systems to disseminate the website within their organizations. The dissemination plan was guided by the Dissemination Planning Tool of the Agency for Healthcare Research and Quality (AHRQ). RESULTS: Google Analytics data were acquired for January 1, 2017 to June 29, 2017. The MyHEART website received 1090 visits with 2130 page views; 18.99% (207/1090) were returning visitors. The majority (55.96%, 610/1090) approached the website through organic searches, 34.95% (381/1090) accessed the MyHEART website directly, and 5.96% (65/1090) approached through referrals from other sites. There was a spike in site visits around times of increased efforts to disseminate the website. CONCLUSIONS: The successfully implemented MyHEART website and toolkit reflect collaborative input from community and healthcare stakeholders to provide evidence-based, portable hypertension education to a hard-to-reach population. The MyHEART website and toolkit can support healthcare providers' education and counseling with young adults and organizations' hypertension population health goals.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".