Effectiveness of a Theory- and Web-Based Adaptive Implementation Intervention on Nurses’ and Nursing Students’ Intentions to Provide Brief Counseling: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
Background Brief counseling can motivate patients to initiate health behavior change. However, increasing the provision of brief counseling by nurses is difficult due to contextual and practitioner-level factors impeding nurses’ motivation and intentions to provide brief counseling (eg, unfavorable attitude toward brief counseling, lack of perceived control linked to barriers). Theory-based implementation interventions could address these practitioner-level factors and support evidence-based practice in the context of brief counseling. Web-based, adaptive e-learning (electronic learning) programs are a novel type of implementation intervention that could address the limitations of current brief counseling training programs, such as accessibility and personalization. Objective This paper presents a study protocol for evaluating the effectiveness of the E_MOTIVA implementation intervention—a theory- and web-based adaptive e-learning program—to increase nurses’ and nursing students’ intentions to provide brief counseling for smoking, an unbalanced diet, and medication nonadherence. Methods A two-group, single-blind, randomized controlled trial will be conducted with nurses and nursing students enrolled in a Bachelor of Science in Nursing program in Quebec, Canada. Participants in the experimental group will be allocated to the E_MOTIVA intervention—a theory- and web-based adaptive e-learning program—while participants in the active control group will be allocated to the E_MOTIVB intervention, a knowledge- and web-based standardized e-learning program. The E_MOTIVA intervention was designed to influence the constructs of the Theory of Planned Behavior (eg, attitude, subjective norms, and perceived behavioral control) in the context of brief counseling. The Cognitive Load Index and User Engagement Scale will be used to assess participants’ cognitive load and engagement related to e-learning. Participants will complete the Brief Counseling Nursing Practices Questionnaire–Abridged Version at baseline and follow-up. All study measures will be completed online. Results The study is ongoing. The results of the study will provide answers to the primary hypothesis (H1) that experimental group participants will demonstrate a greater change in the score of intentions to provide brief counseling between baseline (–T1) and follow-up (T4). Secondary hypotheses include greater improvements in scores of attitude (H2), subjective norms (H3), perceived control (H4), behavioral beliefs (H5), normative beliefs (H6), and control beliefs (H7) regarding brief counseling in the experimental group between baseline and follow-up. We also anticipate lower intrinsic and extrinsic cognitive loads (H8, H9), higher germane cognitive load (H10), and higher engagement (H11, H12) in the experimental group. Conclusions This study will be among the first in evaluating a novel type of implementation intervention, a theory- and web-based adaptive e-learning program, in nurses and nursing students. This type of intervention has the potential to support evidence-based practice through accessible, personalized training in wide-ranging domains in nursing. Trial Registration ISRCTN Registry ISRCTN32603572; http://www.isrctn.com/ISRCTN32603572 International Registered Report Identifier (IRRID) PRR1-10.2196/18894
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 | 0,035 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,008 | 0,005 |
| Méta-épidémiologie (sens large) | 0,016 | 0,007 |
| Bibliométrie | 0,005 | 0,004 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,009 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,068 | 0,011 |
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 ».