Literature DB >> 10996065

Measuring appropriate use of acute beds. A systematic review of methods and results.

M S McDonagh1, D H Smith, M Goddard.   

Abstract

A systematic review of the methods used to assess appropriateness of acute bed use and the evidence on the scale of inappropriate use in different patient groups is presented. Issues of generalisability of the findings are also addressed. Criteria based tools are the accepted way of measuring inappropriate days of stay and admissions, although opinion based classification is very common. While a number of tools exist, few have been adequately tested for reliability and validity. The Appropriateness Evaluation Protocol (AEP) is the most commonly used tool, and has been tested more widely. It appears to be both reliable and valid. An estimated 29% of admissions to acute psychiatric may be inappropriate. Regarding days of care after admission, between 24 and 58% of stays were not judged to be appropriate for continued stay on an acute ward. The need for continued acute psychiatric care may become lower as patients experience continued stay in the acute setting. A lack of housing and community support was the most commonly cited reason preventing discharge. Rates of inappropriate use appear to be higher for older patients than for the general population. Wide variation in rates of inappropriate days of stay was found, but it may be safe to assume that inappropriate use is greater than 20% across a wide variety of settings. Reasons for older patients to remain in an acute hospital bed after medically necessary are typically moderate nursing care needs (i.e. long-term care). The estimates of inappropriate use in other groups was found to be highly variable. Before definitive conclusions on the inappropriate use of acute beds can be made, future research needs to take into account the methodological problems discussed here.

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Year:  2000        PMID: 10996065     DOI: 10.1016/s0168-8510(00)00092-0

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  51 in total

1.  Inappropriately delayed discharge from hospital: what do we know?

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Journal:  BMJ       Date:  2003-04-26

2.  Appropriateness of admission and length of stay in a Turkish Military Hospital.

Authors:  Kadir Teke; Adnan Kisa; Cesim Demir; Korkut Ersoy
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

3.  Reducing hospital admissions.

Authors:  Sarah Purdy; Tom Griffin
Journal:  BMJ       Date:  2008-01-05

4.  The Appropriateness Evaluation Protocol is a poor predictor of in-hospital mortality.

Authors:  N A O'Regan; L Healy; M O Cathail; T W Law; G O'Carroll; J Clare; S Timmons; K A O'Connor
Journal:  Ir J Med Sci       Date:  2013-10-30       Impact factor: 1.568

5.  Characteristics and Needs of Psychiatric Patients With Prolonged Hospital Stay.

Authors:  Marc Afilalo; Nathalie Soucy; Xiaoqing Xue; Antoinette Colacone; Emmanuelle Jourdenais; Jean-François Boivin
Journal:  Can J Psychiatry       Date:  2015-04       Impact factor: 4.356

6.  Identification of appropriate and potentially avoidable emergency department referrals in a tertiary cancer care center.

Authors:  Claire Duflos; Sami Antoun; Philippe Loirat; Mario DiPalma; Etienne Minvielle
Journal:  Support Care Cancer       Date:  2017-03-08       Impact factor: 3.603

7.  A prospective study of reasons for prolonged hospitalizations on a general medicine teaching service.

Authors:  Mark R Carey; Heena Sheth; R Scott Braithwaite
Journal:  J Gen Intern Med       Date:  2005-02       Impact factor: 5.128

8.  Inappropriate admissions: thoughts of patients and referring doctors.

Authors:  J Campbell
Journal:  J R Soc Med       Date:  2001-12       Impact factor: 5.344

9.  Inappropriate hospital admission: interaction between patient age and co-morbidity.

Authors:  Gudrun Gamper; Wolfgang Wiedermann; Riccardo Barisonzo; Ingrid Stockner; Christian Josef Wiedermann
Journal:  Intern Emerg Med       Date:  2011-06-08       Impact factor: 3.397

10.  Artificial neural networks and risk stratification in emergency departments.

Authors:  Greta Falavigna; Giorgio Costantino; Raffaello Furlan; James V Quinn; Andrea Ungar; Roberto Ippoliti
Journal:  Intern Emerg Med       Date:  2018-10-23       Impact factor: 3.397

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