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Enregistrement W2883568914 · doi:10.1097/xeb.0000000000000147

Initial perceptions of, and intention to use, an online guideline adaptation framework

2018· article· en· W2883568914 sur OpenAlex
Craig Lockwood, Lucylynn Lizarondo, Margaret B. Harrison, Sandeep Moola, Yasser Sami Amer, Susanne Bernhardsson, Héctor Pardo‐Hernández

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueInternational Journal of Evidence-Based Healthcare · 2018
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Policy Implementation Science
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésGuidelineAdaptation (eye)PerceptionEthics committeePsychologyDescriptive statisticsMedical educationNursingApplied psychologyFamily medicineMedicinePolitical science

Résumé

récupéré en direct d'OpenAlex

AIM: The aim of this research was to evaluate CAN-Implement.Pro as a structured and systematic process for planning local evidence implementation, to develop a contextual and demographic profile of potential users and assess their initial perceptions and intention to use CAN-Implement.Pro. METHODS: Ethics approval was obtained from the University of Adelaide Human Research Ethics Committee (Approval number: H-2016-157). A descriptive cross-sectional study was undertaken to capture the demographic characteristics of participants, as well as their initial perceptions of, and intention to use, the software for guideline adaptation projects. RESULTS: A total of 21 individuals representing guideline groups completed the survey. Only 43% had taken part in at least one previous implementation project. Thirty-three percent reported embarking on their first implementation project; 24% had yet to participate in an evidence implementation project. Nursing was the most highly referenced profession at 75%, followed by medical specialties (40%); two respondents indicated allied health professions were included in their implementation group. Respondents represented countries or regions of high and upper middle income as classified by the WHO Regional Office for the Eastern Mediterranean. The majority (67%) found CAN-Implement.Pro to be well-organized, easy to navigate and reliable. Most (80%) also indicated they were more likely to return to the software than not; 20% were neutral. In terms of overall satisfaction, more than half (60%) were very satisfied or satisfied, a third (33%) was neutral and 7% were dissatisfied. Over 66% of the respondents considered their group to be familiar with the knowledge-to-action model. A slightly higher percentage (74%) reported software based upon the knowledge-to-action model had a strong conceptual framework. In terms of evidence informed functionality, 75% of the respondents concluded that the software could assist guideline groups to provide structure for their implementation planning; a similar proportion (75%) indicated that the software would also enhance or improve coordination, communication and logistics management in guideline-related implementation projects. Participants were familiar with a range of resources, models, theories and frameworks for implementation, implementation planning and guideline adaptation. The most common frameworks were related to behavioural theories or variations of the Promoting Action on Research Implementation in Health Services framework. CONCLUSION: Eighty percent of the respondents indicated that their group would be likely to use the software to guide implementation planning in future projects, whereas 20% were neutral. In terms of expectations for contemporary software, multimedia resources rated highly, as did interactive components within the knowledge-to-action model.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,012
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,214
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,858
Tête enseignante GPT0,718
Écart entre enseignants0,140 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle