Literature DB >> 10616274

Reducing hospital inpatient lengths of stay.

M E Murphy1, C M Noetscher.   

Abstract

This article describes the importance of hospital length of stay as an indicator of health care efficiency and provides guidance concerning the development of data for length of stay reduction. It identifies variables involved in length of stay evaluation including the mean stay, median stay, and length of stay standard deviation. It describes how consistent length of stay data can be generated and analyzed for local populations and benchmark communities.

Mesh：

Year:  1999        PMID： 10616274     DOI： 10.1097/00001786-199911000-00006

Source DB:  PubMed          Journal:  J Nurs Care Qual        ISSN： 1057-3631            Impact factor:   1.597


  4 in total

1.  What makes the hospitalisation system more efficient? An application of the decomposition method to Hong Kong morbidity data.

Authors:  Paul S F Yip; Carmen K M Lee; Chun-Bong Chow; William T L Lo
Journal:  BMJ Open       Date:  2014-03-06       Impact factor: 2.692

2.  The Contribution of Ageing to Hospitalisation Days in Hong Kong: A Decomposition Analysis.

Authors:  Chi Leung Kwok; Carmen Km Lee; William Tl Lo; Paul Sf Yip
Journal:  Int J Health Policy Manag       Date:  2017-03-01

3.  Benchmarking and reducing length of stay in Dutch hospitals.

Authors:  Ine Borghans; Richard Heijink; Tijn Kool; Ronald J Lagoe; Gert P Westert
Journal:  BMC Health Serv Res       Date:  2008-10-24       Impact factor: 2.655

4.  Ethnic variations in unplanned readmissions and excess length of hospital stay: a nationwide record-linked cohort study.

Authors:  Martine C de Bruijne; Floor van Rosse; Ellen Uiters; Mariël Droomers; Jeanine Suurmond; Karien Stronks; Marie-Louise Essink-Bot
Journal:  Eur J Public Health       Date:  2013-02-06       Impact factor: 3.367
  4 in total

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