Short- and Long-Term Residents of Nursing Homes

Bibliographic Data

ID9101436
AuthorsEmmett B Keeler (RAND Corporation, corresponding author), Robert L Kane (0009-0005-8505-6218, RAND Corporation, corresponding author), David H Solomon (0000-0001-8765-7045, University of California, Los Angeles)
Year1981
Volume19
Issue3
Pages363-370
Publication date1981-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198103000-00011
PMID7218900
OpenAlexW1994720229
LanguageEN
Citations received26

This article analyzes reported data on length of stay of discharged patients from the 1977 National Nursing Home Survey. Assuming that patients admitted to nursing homes are one of two types, short-stayers and long-stayers, the statistically best-fitting proportions and expected lengths of stay for the two types are derived. The results are applied to statistics on characteristics of resident and discharged patients to find admission characteristics that differentiate the two groups. Because long-stayers and short-stayers have quite different characteristics, nursing home statistics will be very different if one bases them on discharges or a cross-section of residents. For example, we estimate that short-stay patients represent 61 per cent of discharges but only 9 per cent of residents. A further application shows that, including deaths in hospitals, almost half of discharged patients die, rather than the usually cited figure of 25 per cent

Nursing homes · Sociology · Term (time) · Demography · Geriatric Care and Nursing Homes · Global Health Care Issues · Medicine · Migration, Aging, and Tourism Studies · Nursing · Gerontology

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