Determinants of hospital utilization: the situation in Israel and selected countries.
Notice bibliographique
Résumé
BACKGROUND: In 1995 hospital costs constituted about 42% of the health expenditures in Israel. Although this proportion remained stable over the last decade, hospital discharge rates per 1,000 population increased, while hospitalization days per 1,000 population and average length of stay declined. OBJECTIVE: To gain an insight into the forces behind these changes, we compared the trends in hospital utilization in Israel with those in 21 developed countries with available data. MATERIALS AND METHODS: Our data were derived from The "Hospitals and Day Care Units, 1995" report by the Health Information and Computer Services of the Israel Ministry of Health, and the Organization for Economic Cooperation and Development Health Data, 98. We examined the numbers of acute care hospital beds, of patients on dialysis and of doctors' consultations, health expenditures and age structure of the population in 1995 or closest year with available data, as well as changes in DRs, HDs and ALOS between 1976 and 1995. RESULTS: In Israel the DRs increased from 130 in 1976 to 177 in 1995 (36%), HDs declined from 992 to 818 (18%), and ALOS declined from 7.60 to 4.51 days (41%). Relative to other countries, in 1995 Israel had the lowest ALOS; low HDs similar to those in the UK, Portugal, Spain, the USA and Sweden; and intermediate DRs similar to those in Belgium, Germany, Sweden and Australia. The number of acute care beds per 1,000 population was directly related to HDs (r = 0.954, P = 0.000) and to DRs (r = 0.419, P = 0.052). Health expenditures (% of the gross national product) correlated with the number of patients on dialysis per 1,000,000 population (r = 0.743, P = 0.000). Between 1976 and 1995, HDs and ALOS declined in most countries, however the trends in DRs varied from an increase by 119% in the UK to a decline by 29% in Canada. CONCLUSIONS AND HYPOTHESES: The increase in DRs in Israel from 1976 to 1995 was shared by many but not all countries. This variability may be related to differences in trends in local practice norms and in available hospital beds. If the number of patients on dialysis is a valid index for use of expensive treatment modalities, the correlation of health expenditures with the number of patients on dialysis suggests that the use of expensive technology is a more important determinant of health care costs than the age of the population or hospital utilization. Since the use of expensive technology is highest during the first few days in hospital, decisions about health care policy should consider the possibility that the savings incurred by a further decline in HDs and ALOS may be offset by a possible increase in per diem hospital costs and in health care expenditures after discharge from hospital.
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 | 0,001 | 0,000 |
| 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 | 0,000 |
| 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 ».