Implementation of a Spanish-language, direct-to-patient primary aldosteronism testing program
Bibliographic record
Abstract
CONTEXT: Primary aldosteronism (PA) is a common, targetable cause of hypertension and cardiovascular risk, but <2% of eligible patients are tested, and Hispanic/Latino patients are underrepresented in PA research and care. OBJECTIVE: We expanded a nationwide, direct-to-patient PA testing program to reach Spanish-speaking adults. METHODS: Spanish-speaking adults with PA testing indications were recruited from Boston, New York, Miami, Houston, and Los Angeles/San Diego. Participants underwent virtual medical history review in Spanish and local phlebotomy for PA testing, with laboratory interpretations communicated to patients and clinicians. Participants were followed up at 6 months. The primary outcome was the frequency of a positive PA test. Secondary outcomes included clinical PA testing, initiation of aldosterone-targeted therapies, and quality of life. RESULTS: The study population (N = 155) spoke fluent Spanish, with 77.4% reporting limited English proficiency. Of the participants, 30.3% tested positive for PA. Leading PA testing indications were family history of premature hypertension or stroke and sleep apnea. Among participants who tested positive and provided follow-up (n = 29), 10.3% underwent additional testing for PA, and 10.3% started a mineralocorticoid receptor antagonist. Participants cited access to care and clinician dismissal of results as barriers to clinical action; however, study participation was positively rated to enhance health awareness and interest in research participation. CONCLUSION: This Spanish-language, direct-to-patient PA testing program effectively reached patients for testing, identified possible PA in over 30%, and influenced downstream care. Language-concordant PA testing initiatives can help to address the high prevalence of hypertension and PA in the US Hispanic/Latino population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".