Identifying performance indicators for family practice: assessing levels of consensus.
Notice bibliographique
Résumé
OBJECTIVE: To identify performance indicators for family practice that focus on organizational structures and clinical processes of care, to review evidence linking indicators to patient outcomes, to have providers select indicators they consider important for performance assessment, and to obtain provider views on challenges to developing a performance assessment system. DESIGN: Review of published and unpublished literature and contact with international experts resulted in a list of 131 structure and process indicators and associated evidence. This information was used in a two-round modified Delphi consensus process, which was followed by interviews with each of the 12 consensus panel members. SETTING: Ontario family practices. PARTICIPANTS: Eleven family physicians and one nurse practitioner from Ontario. MAIN OUTCOME MEASURES: Survey package with 131 indicators and associated evidence was mailed to panel members who rated each of the indicators on a Likert scale from 1 (not at all important for performance assessment) to 9 (essential for performance assessment). Interviews were conducted with panel members to discuss indicator feasibility and data sources. Consensus score and median importance score for each indicator were main outcome measures; interviews identified barriers to performance assessment. RESULTS: Fifty-one indicators achieved high consensus, 19 moderate consensus, and 38 low consensus. Clinical indicators that reached a high level of consensus were generally supported by grade A or B recommendations and level I to III evidence. Clinical indicators that achieved moderate consensus often had fair support in the literature. Low consensus was mainly associated with fair or equivocal evidence. During follow-up interviews, consensus panel members voiced frustration with inconsistencies in the evidence and practice guidelines upon which indicators are often based, and with poor transfer of patient information between health care providers. Lack of detail in patient care documentation and inconsistent documentation were mentioned frequently as threats to data quality. CONCLUSION: Despite challenges to performance measurement noted by the panel, study results support the continued development, refinement, and testing of primary care performance indicators.
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 | 0,002 | 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 | 0,001 | 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 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 ».