Using Theoretically Tailored Mobile Communications to Target Risky Drinking Among Employed Adults: Design of a Randomized Effectiveness Trial
Notice bibliographique
Résumé
Background: A sizeable proportion of employed adults consume alcohol at non-dependent but risky levels, which is defined by the National Institutes of Health for men as drinking more than 14 drinks per week or more than 4 in a day and for women as drinking more than 7 drinks per week or more than 3 drinks in a day. Risky levels of drinking impact the health, well-being, and productivity of employees, while driving costs to employers in lost productivity, absenteeism, and health care costs. There is a lack of evidence-based behavior change programs targeting alcohol consumption for employer-sponsored wellness programs. Objective: The aim of this study is to evaluate the effectiveness of a stage-matched and individually tailored behavior change mHealth program based on the Transtheoretical Model of Behavior Change promoting responsible drinking to employed adults. Methods: A 2 arm randomized effectiveness trial is being conducted with 1,012 employed adults recruited by Survey Sampling, Inc. Participants randomized to the treatment group participate in the intervention across three timepoints and six months (0, 3, and 6 months), during which time the control group is asked to complete electronic assessments at two timepoints (0 and 6 months). Participants in both groups will be asked to complete electronic assessments at 12 and 18 months post baseline. Results: The effectiveness of the intervention will be assessed by comparing treatment and control participants on the following primary outcomes: a) proportion of participants who reach criteria (action or maintenance stages); b) quantity of alcohol use (number of drinks per week, number of drinks per drinking day); and c) frequency of alcohol use (days drinking above recommended limits during the past month, number of drinking days in the past month). Secondary outcomes include comparison on frequency of alcohol-related problems and well-being related to productivity. Conclusions: We hypothesize that the treatment group will demonstrate significant improvement on primary and secondary outcomes compared to control group participants. Using a mobile, responsive, and engaging platform, leveraging best practices of behavior change science including tailored communications, this program is well positioned to provide an efficacious, sustainable, and cost-effective means of reducing harmful drinking and the associated individual, employer, and societal impacts. Trial Registration: Clinicaltrials.gov NCT02126163; http://clinicaltrials.gov/ct2/show/NCT02126163 (Archived by WebCite at http://www.webcitation/6cXwhAGqW)
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».