[Characteristics of emergency room admissions of IDF soldiers in northern Israeli hospitals between May 2002 and April 2003].
Notice bibliographique
Résumé
BACKGROUND: The hospitalization rate of patients visiting the emergency room depends on various parameters including demography, clinical data and other variables. Long term follow-up of hospitalized IDF soldiers reflected variability in hospital admission rate among hospitals and raises the possibility of vastly inappropriate hospitalizations. AIM: The aim of this study was to characterize the admission policy for IDF soldiers in various hospitals, to assess the rate of inappropriate hospitalizations, and to evaluate these costs to the Medical Corps. METHODS: Three hospitals in northern Israel were screened between May 2002 and April 2003, one urban tertiary care hospital (A) and two rural hospitals of different sizes (B and C). One fifth of the discharge forms were randomly screened. Every admission was given a risk evaluation based only on clinical data found upon presentation in the emergency room. One abnormal finding rendered the admission to be considered as appropriate. The rate of admission, lengths of stay, as well as clinical data and utilization of diagnostic tests were recorded and compared. RESULTS: During the study period 65 +/- 1105, 39 +/- 536, and 54 +/- 485 Emergency Room visits were made monthly in hospitals A, B and C, respectively. A total of 1.0% +/- 6.5. 1.4% +/- 12.6 and 2.7% +/- 11.8 of these visits resulted in hospitalization in hospitals A, B and C, respectively. Approximately one quarter of the patients admitted to hospital A were low risk, compared to more than half in the rural hospitals. Low risk admissions were one day shorter in the urban hospital, whereas high risk admissions had the same length of stay. The cost of low risk admissions in the urban hospital was about half of its cost in any of the rural hospitals. The estimated annual cost of low risk admission in all three hospitals screened was about $US 1 million. CONCLUSIONS: The admission rate in the urban hospital was half of its rate in the rural hospitals. Overall, 27% less low risk admissions were made in the urban hospital. The rural hospitals tendency to admit more low risk patients was compounded with their tendency to lengthen these admissions. The reason for this behaviour is not clear, although it may be related to differences in experience and clinical knowledge, consideration of the distance between the hospital and the soldier's home or unit, and financial admission policies.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».