Using Administrative Data to Predict Important Health Outcomes
Entry to Hospital, Nursing Home, and Death
Bibliographic Data
| ID | 9103513 |
|---|---|
| Authors | Noralou P Roos (0000-0002-0802-2082, University of Manitoba, corresponding author), L L Roos (0000-0002-4215-8346, University of Manitoba, corresponding author), Jana Mossey (Drexel University), Betty Havens (Manitoba Health) |
| Year | 1988 |
| Volume | 26 |
| Issue | 3 |
| Pages | 221-239 |
| Publication date | 1988-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-198803000-00001 |
| PMID | 3352323 |
| OpenAlex | W2070552830 |
| Language | EN |
| Citations received | 18 |
| References cited | 15 |
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
Data collection · Data entry · Nursing homes · Sample (material) · Sociology · Geriatric Care and Nursing Homes · Global Health Care Issues · Health disparities and outcomes · Medicine · Nursing · Gerontology
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| Unique citing works | 18 |
|---|---|
| Citations per year | 0,49 |
| Citation span | 1989 - 2014 (26) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 11 |