Literature DB >> 14689464

Developing risk-adjusted 30-day hospital mortality rates.

Ann E Tourangeau1, Jack V Tu.   

Abstract

This article describes one risk-adjustment method useful for minimizing threats to internal validity that stem from the impact on the outcomes under investigation from patients' own characteristics and their associated risks. Mortality is the outcome used to illustrate the risk-adjustment approach. A two-step approach to outcomes research is suggested. The first step includes risk-adjusting outcomes for patient characteristics by developing standard mortality rates. In the second step these risk-adjusted standard rates can be used as dependent variables in outcomes analytic models. This article focuses on the first step. In the current study risk adjustment resulted in changes in both absolute values and rank ordering of hospital mortality rates compared to crude rates. This procedure is useful for developing risk-adjusted outcomes with administrative data similar to those used in this study. Copyright 2003 Wiley Periodicals, Inc. Res Nurs Health 26:483-496, 2003

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Year:  2003        PMID: 14689464     DOI: 10.1002/nur.10110

Source DB:  PubMed          Journal:  Res Nurs Health        ISSN: 0160-6891            Impact factor:   2.228


  6 in total

1.  The Relationship between Characteristics of Home Care Nursing Service Contracts under Managed Competition and Continuity of Care and Client Outcomes: Evidence from Ontario.

Authors:  Diane Doran; Jennie Pickard; Janet Harris; Peter C Coyte; Andrew R Macrae; Heather Laschinger; Gerarda Darlington; Jennifer Carryer
Journal:  Healthc Policy       Date:  2007-05

Review 2.  Impact of nursing on hospital patient mortality: a focused review and related policy implications.

Authors:  A E Tourangeau; L A Cranley; L Jeffs
Journal:  Qual Saf Health Care       Date:  2006-02

3.  Development of the Hospital Nurse Surveillance Capacity Profile.

Authors:  Ann Kutney-Lee; Eileen T Lake; Linda H Aiken
Journal:  Res Nurs Health       Date:  2009-04       Impact factor: 2.228

4.  Emotional exhaustion and workload predict clinician-rated and objective patient safety.

Authors:  Annalena Welp; Laurenz L Meier; Tanja Manser
Journal:  Front Psychol       Date:  2015-01-22

5.  Improving the performance of risk-adjusted mortality modeling for colorectal cancer surgery by combining claims data and clinical data.

Authors:  Won Mo Jang; Jae-Hyun Park; Jong-Hyock Park; Jae Hwan Oh; Yoon Kim
Journal:  J Prev Med Public Health       Date:  2013-03-28

6.  Evaluation of paediatric nursing-sensitive outcomes in an Australian population using linked administrative hospital data.

Authors:  Sally Wilson; Alexandra P Bremner; Yvonne Hauck; Judith Finn
Journal:  BMC Health Serv Res       Date:  2013-10-08       Impact factor: 2.655

  6 in total

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