A Web-Based Positive Psychological Intervention to Improve Blood Pressure Control in Spanish-Speaking Hispanic/Latino Adults With Uncontrolled Hypertension: Protocol and Design for the ¡Alégrate! Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Growing evidence links psychological well-being and resilience with superior cardiac health, but there remains a critical scientific gap about whether (or how) interventions that aim to cultivate psychological well-being reduce cardiac risk. Hispanic/Latino people in the United States have high cardiovascular disease risk and poorly controlled blood pressure (BP) compared with their peers of European ancestry, and they represent a population in need of new and innovative therapeutic approaches. As such, a focused intervention to boost psychological well-being holds promise as a novel therapeutic target for hypertension in Hispanic/Latino adults; to date, however, no research has explored whether a causal link is evident. OBJECTIVE: The aim of this paper is to detail the protocol for the ¡Alégrate! (Be Happy!) intervention, a Phase II randomized controlled trial testing initial efficacy in improving BP of a web-based positive psychological intervention designed to boost psychological well-being in Spanish-speaking Hispanic/Latino people with hypertension. METHODS: A total of 70 Hispanic/Latino people aged ≥18 years, fluent in Spanish, and with elevated BP (≥140/90 mm Hg) will be recruited in person from a single Federally Qualified Health Center in Chicago. Enrollees will be randomly assigned to 1 of 2 trial arms: (1) web-based positive psychological intervention or (2) an active control condition (eg, 3 times weekly emotion reporting). Our 5-week Spanish-language ¡Alégrate! intervention is web-based and delivers curricular content via didactic instruction, journaling, and assigned at-home practice-all accessed via our website using investigator-purchased tablet computers, with a unique username and password assigned to each enrollee. Targeted skills include noting daily positive events, positive reappraisal of stressful events, effective expression of gratitude, performing acts of kindness, and regular practice of mindfulness and meditation. The primary outcome is improvement in BP, both sitting values and 24-hour ambulatory readings, as measured at baseline and 5 and 12 weeks from baseline. Secondary outcomes include psychological well-being, engagement in healthy behaviors, and circulating levels of inflammatory markers. The outcomes of interest are collected by trained research staff through in-person interviews using the REDCap software. RESULTS: Activities of the ¡Alégrate! intervention were funded in August 2017, and data collection is ongoing. We expect to submit trial results for peer-reviewed publications in 2021, soon after recruitment has been concluded and statistical analyses are finalized. CONCLUSIONS: Findings will provide evidence on whether interventions to boost psychological well-being and resilience have downstream effects on BP control and cardiovascular health, particularly as they are deployed in the Spanish language with cultural tailoring and via a web-based platform. If effective, we will have an easily disseminatable application that can positively impact well-being profiles and BP control in Hispanic/Latino people, with the possibility of addressing health disparities of this US racial/ethnic minority group. TRIAL REGISTRATION: ClinicalTrials.gov NCT03892057; https://clinicaltrials.gov/ct2/show/NCT03892057. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/17721.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.047 | 0.006 |
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".