Evaluating Theory-Driven Messaging to Overcome the Barriers to Meditation: Large-Scale Digital Field Experiment
Notice bibliographique
Résumé
Background: The general public is largely aware of meditation, and there is compelling evidence the practice has health benefits. But many people who are aware of meditation have not tried it, and those who do often struggle to establish a regular practice. The barriers to meditation are generally understood and include a lack of knowledge, a lack of time, and unclear benefits. These barriers present an impediment to self-efficacy in establishing a meditation practice. Despite these challenges, current strategies for promoting meditation may fail to address these barriers, leaving a gap in our knowledge about health communication efforts aimed at fostering meditation practices. Objective: The objective of this research is to leverage a large-scale, real-world digital platform to understand whether breaking down the theory-based barriers to meditation can serve as an effective strategy for encouraging meditation. Methods: This research is a digital messaging-based experiment that includes approximately 1.33 million people, aged 18 years and older, in the United States. The experiment was conducted on the Spotify mobile app and includes 1 control condition and 4 test conditions. Each of the test conditions was a message that attempted to address a specific barrier to meditation. The control message only included the call-to-action without any theory-based messaging accompaniment. When users clicked the message, they were redirected to meditation content. The click-through rate and the activation rate of each message were the dependent variables in the experiment. Results: The most effective message, which was designed to break down the pragmatic barriers to meditation, had a click-through rate odds ratio (OR) of 1.57 (95% CI 1.52-1.62) and an activation rate OR of 1.55 (95% CI 1.45-1.65), relative to the control. The least effective, which was designed to break down knowledge barriers, had a click-through rate OR of 0.91 (95% CI 0.88-0.94) and an activation rate OR of 0.66 (95% CI 0.61-0.71), compared to the control. After 7 days, the differences in people's engagement with the meditation content itself between experimental conditions had substantively diminished. Conclusions: Theory-driven messaging can potentially encourage people to explore meditation content, but not universally so, given 2 of the experimental conditions performed better than and 2 performed worse than the control. The most successful message broke down the barrier that meditation requires being alone and in a quiet place. Addressing this barrier may have boosted self-efficacy by aligning the practice with everyday settings that fit into people's busy lifestyles. Future researchers might consider how to encourage people to engage in meditation during their daily activities. In addition, breaking down the barriers to meditation through messaging can drive interest and experimentation with meditation content, but may not be enough to compel meaningful behavior change.
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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 | 0,016 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».