Literature DB >> 914532

Three statistical models for estimating length of stay.

S Selvin.   

Abstract

The probability density functions implied by three methods of collecting data on the length of stay in an institution are derived. The expected values associated with these density functions are used to calculate unbiased estimates of the expected length of stay. Two of the methods require an assumption about the form of the underlying distribution of length of stay; the third method does not. The three methods are illustrated with hypothetical data exhibiting the Poisson distribution, and the third (distribution-independent) method is used to estimate the length of stay in a skilled nursing facility and in an intermediate care facility for patients enrolled in California's MediCal program.

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Year:  1977        PMID: 914532      PMCID: PMC1072000     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  4 in total

1.  The inverse Gaussian distribution as a model of hospital stay.

Authors:  G A Whitmore
Journal:  Health Serv Res       Date:  1975       Impact factor: 3.402

2.  A statistical model for length of stay in a mental hospital.

Authors:  B L Hanson
Journal:  Health Serv Res       Date:  1973       Impact factor: 3.402

3.  Length of stay: prediction and explanation.

Authors:  D H Gustafson
Journal:  Health Serv Res       Date:  1968       Impact factor: 3.402

4.  Average length of stay in long-term institutions.

Authors:  S Falk
Journal:  Health Serv Res       Date:  1971       Impact factor: 3.402

  4 in total
  3 in total

1.  The implementation of an early rehabilitation program is associated with reduced length of stay: A multi-ICU study.

Authors:  Romina Wahab; Natalie H Yip; Subani Chandra; Michael Nguyen; Katherine H Pavlovich; Thomas Benson; Denise Vilotijevic; Danielle M Rodier; Komal R Patel; Patricia Rychcik; Ernesto Perez-Mir; Suzanne M Boyle; David Berlin; Dale M Needham; Daniel Brodie
Journal:  J Intensive Care Soc       Date:  2015-09-21

2.  The virtual institution: cross-sectional length of stay in general adult and forensic psychiatry beds.

Authors:  Anand Sharma; Warren Dunn; Clare O'Toole; Harry G Kennedy
Journal:  Int J Ment Health Syst       Date:  2015-06-30

3.  The nursing home population: different perspectives and implications for policy.

Authors:  K Liu; Y Palesch
Journal:  Health Care Financ Rev       Date:  1981-12
  3 in total

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