Literature DB >> 21444614

How important is it to identify avoidable hospital readmissions with certainty?

Norbert Goldfield1.   

Abstract

Mesh：

Year:  2011        PMID： 21444614      PMCID： PMC3080545          DOI： 10.1503/cmaj.110448

Source DB:  PubMed          Journal:  CMAJ        ISSN： 0820-3946            Impact factor:   8.262


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  4 in total

Review 1.  Proportion of hospital readmissions deemed avoidable: a systematic review.

Authors:  Carl van Walraven; Carol Bennett; Alison Jennings; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2011-03-28       Impact factor: 8.262

2.  Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized clinical trial.

Authors:  M D Naylor; D Brooten; R Campbell; B S Jacobsen; M D Mezey; M V Pauly; J S Schwartz
Journal:  JAMA       Date:  1999-02-17       Impact factor: 56.272

3.  Multicenter randomised trial on home-based telemanagement to prevent hospital readmission of patients with chronic heart failure.

Authors:  A Giordano; S Scalvini; E Zanelli; U Corrà; G L Longobardi; V A Ricci; P Baiardi; F Glisenti
Journal:  Int J Cardiol       Date:  2008-01-28       Impact factor: 4.164

4.  Identifying potentially preventable readmissions.

Authors:  Norbert I Goldfield; Elizabeth C McCullough; John S Hughes; Ana M Tang; Beth Eastman; Lisa K Rawlins; Richard F Averill
Journal:  Health Care Financ Rev       Date:  2008
  4 in total
  4 in total

1.  The influence of an intermediate care hospital on health care utilization among elderly patients--a retrospective comparative cohort study.

Authors:  Unni Dahl; Roar Johnsen; Rune Sætre; Aslak Steinsbekk
Journal:  BMC Health Serv Res       Date:  2015-02-01       Impact factor: 2.655

2.  ACSC Indicator: testing reliability for hypertension.

Authors:  Robin L Walker; William A Ghali; Guanmin Chen; Tej K Khalsa; Birinder K Mangat; Norm R C Campbell; Elijah Dixon; Doreen Rabi; Nathalie Jette; Robyn Dhanoa; Hude Quan
Journal:  BMC Med Inform Decis Mak       Date:  2017-06-26       Impact factor: 2.796

3.  Manual and automated methods for identifying potentially preventable readmissions: a comparison in a large healthcare system.

Authors:  Ana H Jackson; Emily Fireman; Paul Feigenbaum; Estee Neuwirth; Patricia Kipnis; Jim Bellows
Journal:  BMC Med Inform Decis Mak       Date:  2014-04-05       Impact factor: 2.796

4.  Classifying emergency 30-day readmissions in England using routine hospital data 2004-2010: what is the scope for reduction?

Authors:  Ian Blunt; Martin Bardsley; Amy Grove; Aileen Clarke
Journal:  Emerg Med J       Date:  2014-03-25       Impact factor: 2.740
  4 in total

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