Literature DB >> 3352323

Using administrative data to predict important health outcomes. Entry to hospital, nursing home, and death.

N P Roos1, L L Roos, J Mossey, B Havens.   

Abstract

This paper assesses our ability to use administrative data for developing indicators of health status. Traditionally, measures of health status have been derived from interviews. Here indicators from administrative data and from interviews are compared, i.e., their ability to predict important health outcomes for a large representative sample of elderly residents of Manitoba, Canada. Indicators of health status derived from an administrative data system and from health interviews are shown to provide roughly similar predictions of nursing-home entry. Administrative data provide significantly better predictions of death and future hospital entry than do variables from interview data.

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Year:  1988        PMID: 3352323     DOI: 10.1097/00005650-198803000-00001

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  20 in total

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Review 5.  [Experiences of an Initiative Qualitätsmedizin reviewer].

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6.  An examination of the effects of intra and inter-individual changes in wellbeing and mental health on self-rated health in a population study of middle and older-aged adults.

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7.  NHS review. Improving clinical effectiveness in the NHS: an alternative to the white paper.

Authors:  L Quam
Journal:  BMJ       Date:  1989-08-12

8.  Software for health care analysts: a modular approach.

Authors:  L L Roos; A Wajda; S M Sharp; J P Nicol
Journal:  J Med Syst       Date:  1987-12       Impact factor: 4.460

9.  Posthospital care transitions: patterns, complications, and risk identification.

Authors:  Eric A Coleman; Sung-joon Min; Alyssa Chomiak; Andrew M Kramer
Journal:  Health Serv Res       Date:  2004-10       Impact factor: 3.402

10.  Measuring change in health status of older adults at the population level: the transition probability model.

Authors:  Rahim Moineddin; Jason X Nie; Li Wang; C Shawn Tracy; Ross E G Upshur
Journal:  BMC Health Serv Res       Date:  2010-11-09       Impact factor: 2.655

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