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Determinants of Death in the Hospital Among Older Adults
Author(s) -
Kelley Amy S.,
Ettner Susan L.,
Wenger Neil S.,
Sarkisian Catherine A.
Publication year - 2011
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/j.1532-5415.2011.03718.x
Subject(s) - medicine , gerontology , residence , odds , ethnic group , national death index , health care , health and retirement study , dementia , odds ratio , demography , cohort , marital status , confidence interval , logistic regression , population , disease , environmental health , hazard ratio , sociology , anthropology , economics , economic growth
Objectives To investigate patient‐level determinants of in‐hospital death, adjusting for patient and regional characteristics. Design Using multivariable regression, the relationship between in‐hospital death and participants’ social, functional, and health characteristics was investigated, controlling for regional Hospital Care Intensity Index ( HCI ) from the Dartmouth Atlas of Health Care. Setting The Health and Retirement Study, a longitudinal nationally representative cohort of older adults. Participants People aged 67 and older who died between 2,000 and 2,006 (N = 3,539) were sampled. Measurements In‐hospital death. Results Thirty‐nine percent (n = 1,380) of participants died in the hospital (range 34% in Midwest to 45% in Northeast). Nursing home residence, functional dependence, and cancer or dementia diagnosis, among other characteristics, were associated with lower adjusted odds of in‐hospital death. Being black or Hispanic, living alone, and having more medical comorbidities were associated with greater adjusted odds, as was higher HCI . Sex, education, net worth, and completion of an advance directive did not correlate with in‐hospital death. Conclusion Black race, Hispanic ethnicity, and other functional and social characteristics are correlates of in‐hospital death, even after controlling for the role of HCI . Further work must be done to determine whether preferences, provider characteristics and practice patterns, or differential access to medical and community services drive this difference.