Scoping review of balanced scorecards for use in healthcare settings: development and implementation
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
OBJECTIVE: Balanced scorecards (BSCs) were developed in the early 1990s in corporate settings as a strategic performance management tool that emphasised measurement from multiple perspectives. Since their introduction, BSCs have been adapted for a variety of industries, including to healthcare settings. The aim of this scoping review was to describe the application of BSCs in healthcare. METHODS: Medline, Embase and CINHAL databases were searched using keywords and medical subject headings for 'balanced scorecard' and related terms from 1992 to 17/04/2020. Title and abstract screening and full text review were conducted in duplicate by two reviewers. Studies describing the development and/or implementation of a BSC in a healthcare setting were included. Data were abstracted using pilot-tested forms and reviewed for key themes and findings. RESULTS: 8129 records were identified and 841 underwent a full text review. 87 articles were included. Over 26 countries were represented and the majority of BSCs were applied at a local level (54%) in hospital settings (41%). While almost all discussed Kaplan and Norton's original BSC (97%), only 69% described alignment with a strategic plan. Patients/family members were rarely involved in development teams (3%) which typically were comprised of senior healthcare leaders/administrators. Only 21% of BSCs included perspectives using identical formatting to the original BSC description. Lessons learnt during development addressed three main themes: scorecard design, stakeholder engagement and feasibility. CONCLUSIONS: BSC frameworks have been used in various healthcare settings but frequently undergo adaptation from the original description in order to suit a specific healthcare context. Future BSCs should aim to include patients/families to promote patient-centred healthcare systems. Considering the heterogeneity evident in development approaches, methodological guidance in this area is warranted.
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 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 | 0,007 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 découle