Journal article
Using Administrative Data to Predict Important Health Outcomes: Entry to Hospital, Nursing Home, and Death
Medical care, v 26(3)
Mar 1988
PMID: 3352323
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
Metrics
Details
- Title
- Using Administrative Data to Predict Important Health Outcomes: Entry to Hospital, Nursing Home, and Death
- Creators
- Noralou Roos - University of ManitobaLeslie RoosJana MosseyBetty Havens
- Publication Details
- Medical care, v 26(3)
- Publisher
- Lippincott-Raven Publishers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1988M746300001
- Scopus ID
- 2-s2.0-0023974042
- Other Identifier
- 991019184073304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Health Care Sciences & Services
- Health Policy & Services
- Public, Environmental & Occupational Health