An environmental scan of studies reporting current practices for the conduct of environmental scans
Notice bibliographique
Résumé
Objective: The objective of this environmental scan is to synthesize the published, peer-reviewed literature specific to the term ‘environmental scan’ to determine how it is currently being used in health research and to propose some promising practices. Background: Environmental scans are becoming increasingly popular in synthesizing information on emergent topics and describing practice and research scope. Despite the growing use of environmental scans in health research, including nursing and rehabilitation, limited attention is given to methodological best practices. It is essential that we develop knowledge in this area to assist researchers, trainees, healthcare professionals, educators, and decision-makers with the use and reporting of environmental scans. Study design and methods: This environmental scan included a search of four health databases: CINAHL, Embase, MEDLINE, and PsycINFO. We included peer-reviewed studies published between 2000-2024 in English using two key terms, ‘environmental scan’ and ‘health’. Studies were included that described methods used in conducting an environmental scan. Results: We identified 56 studies describing methods for conducting environmental scans. A synthesis of these studies revealed four promising practices: 1) consider environmental/contextual influences, 2) use of multiple data sources and approaches, 3) engage stakeholders to ensure relevance/need and increase uptake, and 4) use of outcomes to address knowledge or service gap to optimise impact. Conclusion: The findings of this environmental scan are among the first to examine methodological studies to determine promising practices for conducting environmental scans across health disciplines. Implications for research, policy, and practice: The findings of this novel environmental scan are beneficial for health professionals, researchers, trainees, educators, and decision-makers in informing research, practice, and policy change What is already known about the topic? The use of environmental scans is becoming increasingly popular in health research, including nursing and rehabilitation. There is a lack of consistency in the use and reporting of environmental scans across health disciplines. What this paper adds This environmental scan is among the first to contribute foundational knowledge and innovation in promising best practices for the conduct of environmental scans in health research. The novel findings will assist in promoting consistency in the use and reporting of environmental scans.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 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 ».