4.1 Article

Predictors of Death in the Hospital for Patients with Chronic Serious Illness

期刊

JOURNAL OF PALLIATIVE MEDICINE
卷 21, 期 3, 页码 307-314

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/jpm.2017.0127

关键词

end-of-life care; health services research; hospital utilization; palliative care

资金

  1. Cambia Health Foundation
  2. UW Medicine

向作者/读者索取更多资源

Background: Most people prefer to die at home, yet most do not. Understanding factors associated with terminal hospitalization may inform interventions to improve care. Objective: Among patients with chronic illness receiving care in a multihospital healthcare system, we identified the following: (1) predictors of death in any hospital; (2) predictors of death in a hospital outside the system; and (3) trends from 2010 to 2015. Design: Retrospective cohort using death certificates and electronic health records. Settings/Subjects: Decedents with one of nine chronic illnesses. Results: Among 20,486 decedents, those most likely to die in a hospital were younger (odds ratio [OR] 0.977, confidence interval [CI] 0.974-0.980), with more comorbidities (OR 1.188, CI 1.079-1.308), or more outpatient providers (OR 1.031, CI 1.015-1.047); those with cancer or dementia, or more outpatient visits were less likely to die in hospital. Among hospital deaths, patients more likely to die in an outside hospital had lower education (OR 0.952, CI 0.923-0.981), cancer (OR 1.388, CI 1.198-1.608), diabetes (OR 1.507, CI 1.262-1.799), fewer comorbidities (OR 0.745, CI 0.644-0.862), or fewer hospitalizations within the system during the prior year (OR 0.900, CI 0.864-0.938). Deaths in hospital did not change from 2010 to 2015, but the proportion of hospital deaths outside the system increased (p<0.022). Conclusions: Patients dying in the hospital who are more likely to die in an outside hospital, and therefore at greater risk for inaccessibility of advance care planning, were more likely to be less well-educated and have cancer or diabetes, fewer comorbidities, and fewer hospitalizations. These findings may help target interventions to improve end-of-life care.

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