Changing behaviour, ‘more or less’: Investigating \nwhether there is a basis for designing different \ninterventions for implementation and deimplementation.
Notice bibliographique
Résumé
Background: The process of decreasing ineffective or harmful healthcare (deimplementation) may require different approaches than those used to promote uptake of new procedures (implementation) but research into different approaches is currently lacking. It has not been determined if there is a theoretical and evidence-based rationale for designing different interventions for implementation and de-implementation. \n \nObjectives: The objectives of this thesis were to: 1) Investigate whether there is a theoretical basis for identifying different mechanisms of change by which behaviour might increase versus decrease; 2) Assess whether predictors of health professional behaviour differ depending on whether behaviour was one clinicians should implement or behaviours clinicians should de-implement; and 3) Identify the Behaviour Change Techniques of published implementation and de-implementation interventions to determine if there is a difference between the techniques reported in these interventions. \n \nMethods: Study 1 used Critical Interpretive Synthesis to investigate whether a theoretical rationale exists for identifying different mechanisms of change by which interventions may work for implementation and de-implementation. Study 2 investigated whether the theoretical constructs commonly used to predict health professional behaviour differ based on whether the behaviours should be implemented or de-implemented. It was an exploratory study involving secondary analysis on 13 existing questionnaire datasets from a variety of healthcare professional groups in primary care settings in the United Kingdom and Canada. Study 3 involved the classification and frequency of Behaviour Change Techniques in implementation and de-implementation interventions from selected Cochrane Effective Practice and Organisation of Care systematic reviews. Findings from these three studies were interpreted using the concurrent triangulation approach to report on the key findings. \n \nResults: Operant Learning Theory (OLT) proposes different approaches to increasing and decreasing behaviour changes and therefore implementation and de-implementation interventions (Studies 1 & 3), despite a number of commonly used theories being poor predictors of behaviours for implementation and de-implementation (Study 2). Additionally, whilst the range of techniques was limited, the technique Behaviour substitution was frequently used to decrease health professionals’ behaviours (Study 3) and also identified as a strategy commonly used to decrease behaviour in general (Study 1). \n \nConclusion: Whilst the findings suggest that OLT may be promising in developing different interventions for implementation and de-implementation, how best to use these OLT principles is unclear. In instances whereby Behaviour substitution is part of a de-implementation intervention, it is not clear how best to identify the substitute behaviour. Additional investigation is required to better inform the design of implementation and de-implementation interventions.
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 | 0,005 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».