Effectiveness of an mHealth Program on Reducing Blood Pressure Among Young Adults With Prehypertension: Protocol of a Pragmatic Cluster Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: The prevalence of prehypertension may be underreported because of its asymptomatic nature. This study will use a pragmatic mobile health (mHealth) app to deliver the intervention, which is expected to be well received by the young adult population. OBJECTIVE: This study aims to assess the prevalence of prehypertension among young adults and evaluate the effectiveness of an mHealth intervention in enhancing adherence to lifestyle practices, increasing knowledge on prehypertension and hypertension, and reducing blood pressure among participants in the experimental and control groups. METHODS: The study consists of 2 phases. Phase 1 used a cross-sectional survey design, and phase 2 included a pragmatic randomized controlled trial with cluster randomization. The protocol was prepared according to the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 checklist. The CONSORT (Consolidated Standards of Reporting Trials of Nonpharmacologic Interventions) 2017 guideline was followed for reporting the protocol. The estimated sample size for phase 1 was 762 participants, and the sample size for the phase 2 was 85 participants per group. Both the control and experimental groups will receive education on prehypertension and hypertension, with the experimental group additionally receiving an mHealth app. The experimental group's adherence to lifestyle practices will be monitored every 15 days, and reminder messages will be sent to nonresponders. Both groups will be followed up with on-site after 1, 3, and 6 months to assess their knowledge on prehypertension and hypertension, blood pressure, and lifestyle practices. The primary outcome of the study will be an improvement in blood pressure readings. The secondary outcomes will include adherence to lifestyle practices and knowledge on prehypertension and hypertension. RESULTS: This study was funded by the Indian Council of Medical Research (grant 2021-11792, received February 2023). The study is ongoing. Phase 1 was completed on March 29, 2024, with data collected from 762 samples from 8 randomly selected colleges from Udupi District. Currently, phase 2 is in progress. The data will be analyzed using jamovi software (version 2.3.21; The jamovi project). Phase 1 and 2 findings will be analyzed and the results will be published in a peer-reviewed journal. Ethical approval for the study was obtained in May 2022 (160/2022). CONCLUSIONS: Identifying high-risk groups of young adults with prehypertension enables early interventions to prevent future hypertension and combat the cardiovascular burden globally. The mHealth intervention is considered to be an effective strategy to impart knowledge and promote healthy behaviors among young adults. The study will contribute to achieving the United Nation's Sustainable Development Goal 3, which focuses on ensuring good health and well-being. TRIAL REGISTRATION: Clinical Trial Registry of India CTRI/2023/04/051784; https://tinyurl.com/57y9enyd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67216.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,048 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,003 |
| Méta-épidémiologie (sens large) | 0,011 | 0,007 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,053 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».