National Ambulatory Medical Care Survey: 2005 summary.
Notice bibliographique
Résumé
OBJECTIVES: This report describes ambulatory care visits made to physician offices in the United States. Statistics are presented on selected characteristics of the physician's practice, the patient, and the visit. METHODS: The data presented in this report were collected in the 2006 National Ambulatory Medical Care Survey (NAMCS), a national probability sample survey of visits to nonfederal office-based physicians in the United States. Sample data are weighted to produce annual national estimates of physician visits. RESULTS: During 2006, an estimated 902 million visits were made to physician offices in the United States, an overall rate of 306.6 visits per 100 persons. In over one-quarter of office visits, electronic medical records were utilized by physicians, while at 85.5 percent of visits, claims were submitted electronically. Since 1996, the percentage of visits by adults 18 years and over with chronic diabetes increased 40%, and during the same time period, visits increased for chronic hypertension (28%), and depression (27%). Among visits by females, a Pap test was ordered or provided more frequently than a human papilloma virus DNA test (5.6 versus 0.6 percent). Private insurance visits were more likely to include liquid-based Pap tests (6.3 percent) compared with visits using conventional or unspecified tests (3.7 percent), whereas visits utilizing Medicaid and other sources of payment were equally likely to provide conventional or unspecified, and liquid-based Pap tests. Medication therapy was reported at 636.7 million office visits, accounting for 70.6 percent of all office visits. In 2006, there were about 1.9 billion drugs mentioned, resulting in an overall 210.3 drug mentions per 100 visits. Visits to primary care physicians at community health centers were more likely to document health education compared with office-based practices, whereas diagnostic or screening services, drug mentions, and any nonmedication treatment occurred at approximately the same proportion of visits for primary care providers in both type of settings.
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 | 0,008 | 0,002 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».