Literature DB >> 8998270

[Characteristics of hospitalization of aged patients before and after introduction of the prospective payment (DRG-ROD system). Researchers of the Italian Group of Pharmaco-epidemiology in the Aged (GIFA)].

.   

Abstract

Using data collected by the Italian Group of Pharmacoepidemiology in the Elderly (Gruppo Italiano di Farmacoepidemiologia nell' Anziano-GIFA) from 1988 to 1995, we analyzed the variation of the most important characteristics of Italian hospitalized patients, such as length of hospital stay, appropriateness of hospital admission, in-hospital mortality, Charlson's comorbidity score. A number of quality of care indexes such as readmission rate, independence in daily activities at discharge, waiting periods for a specific instrumental examination or specialist consultation, were also analyzed. We studied the variations of these parameters in this population after the Diagnosis Related Groups (DRGs) system of payment was introduced. This analysis shows that in Italy factors related to hospital organization, and not patients, pathobiological characteristics, are the chief determinants of length of hospital stay.

Entities:  

Mesh:

Year:  1996        PMID: 8998270

Source DB:  PubMed          Journal:  Ann Ital Med Int        ISSN: 0393-9340


  3 in total

1.  Prediction of mortality for congestive heart failure patients: results from different wards of an Italian teaching hospital.

Authors:  N Nante; M F De Marco; D Balzi; P Addari; E Buiatti
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  Health care for older people in Italy: The U.L.I.S.S.E. Project (Un link informatico sui servizi sanitari esistenti per l'anziano - a computerized network on health care services for older people).

Authors:  F Lattanzio; C Mussi; E Scafato; C Ruggiero; G Dell'Aquila; C Pedone; F Mammarella; L Galluzzo; G Salvioli; U Senin; P U Carbonin; R Bernabei; A Cherubini
Journal:  J Nutr Health Aging       Date:  2010-03       Impact factor: 4.075

Review 3.  Activity-based funding of hospitals and its impact on mortality, readmission, discharge destination, severity of illness, and volume of care: a systematic review and meta-analysis.

Authors:  Karen S Palmer; Thomas Agoritsas; Danielle Martin; Taryn Scott; Sohail M Mulla; Ashley P Miller; Arnav Agarwal; Andrew Bresnahan; Afeez Abiola Hazzan; Rebecca A Jeffery; Arnaud Merglen; Ahmed Negm; Reed A Siemieniuk; Neera Bhatnagar; Irfan A Dhalla; John N Lavis; John J You; Stephen J Duckett; Gordon H Guyatt
Journal:  PLoS One       Date:  2014-10-27       Impact factor: 3.752

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.