Literature DB >> 10800979

Impact of individual and market factors on the timing of initiation of hospice terminal care.

N A Christakis1, T J Iwashyna.   

Abstract

CONTEXT: Hospice terminal care is now used by 10% to 15% of elderly Americans at variable points before their deaths.
OBJECTIVE: By examining the duration of patient survival after enrollment in hospice care, we sought to identify individual and market factors associated with the timing of hospice use.
DESIGN: We linked Medicare claims, census information, and Area Resource File data to form a national cohort of 151,410 hospice patients admitted in 1993 and followed up until late 1996. We examined this cohort with Cox regression and other means. MAIN OUTCOME MEASURE: The primary outcome measure was survival after hospice enrollment.
RESULTS: The patients had a mean +/- SD age of 79.0 +/- 7.4 years; 10.2% were nonwhite; 51.4% were female; and 71.3% had cancer. Median survival after hospice enrollment was 30 days (interquartile range, 10-86 days). After adjustment for measured patient, provider, and market factors, several variables were associated with relatively earlier hospice enrollment, farther from death. Compared with complementary groups, nonwhites were enrolled in hospice 4 days earlier; women, 5 days earlier; older people, 1 day earlier; and those with substance abuse, psychiatric disease, or dementia, each 3 days earlier. After adjustment, income and education were not associated with the timing of enrollment. Patients residing in markets with more hospital beds, greater hospice capacity, or a higher proportion of generalists were enrolled earlier.
CONCLUSIONS: Even after adjustment for certain clinical attributes, individual social factors and local market factors were associated with survival after hospice enrollment. Certain socially disadvantaged groups were enrolled earlier, as were those residing in areas with more medical institutions. The decision to enroll patients in hospice may depend on both nonclinical and clinical factors.

Entities:  

Mesh:

Year:  2000        PMID: 10800979     DOI: 10.1097/00005650-200005000-00009

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  24 in total

1.  The lack of effect of market structure on hospice use.

Authors:  Theodore J Iwashyna; Virginia W Chang; James X Zhang; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

2.  Ethnic variation in timing of hospice referral: does having no informal caregiver matter?

Authors:  Kyusuk Chung; Elizabeth Essex; Linda F Samson
Journal:  J Palliat Med       Date:  2008-04       Impact factor: 2.947

3.  Hospice care and survival among elderly patients with lung cancer.

Authors:  Akiko M Saito; Mary Beth Landrum; Bridget A Neville; John Z Ayanian; Jane C Weeks; Craig C Earle
Journal:  J Palliat Med       Date:  2011-07-18       Impact factor: 2.947

4.  Hospice utilization in nursing homes: association with facility end-of-life care practices.

Authors:  Nan Tracy Zheng; Dana B Mukamel; Thomas V Caprio; Helena Temkin-Greener
Journal:  Gerontologist       Date:  2012-12-10

5.  Policy and the Re-Formation of Hospice: Lessons from the Past for the Future of Palliative Care.

Authors:  Joy Buck
Journal:  J Hosp Palliat Nurs       Date:  2011-11       Impact factor: 1.918

6.  A case study of a theory-based method for identifying and reporting core functions and forms of evidence-based interventions.

Authors:  M Alexis Kirk; Emily R Haines; Franziska S Rokoske; Byron J Powell; Morris Weinberger; Laura C Hanson; Sarah A Birken
Journal:  Transl Behav Med       Date:  2021-02-11       Impact factor: 3.046

7.  Racial differences in location before hospice enrollment and association with hospice length of stay.

Authors:  Kimberly S Johnson; Maragatha Kuchibhatla; James A Tulsky
Journal:  J Am Geriatr Soc       Date:  2011-03-15       Impact factor: 5.562

8.  Nursing home and end-of-life care in Parkinson disease.

Authors:  Delaram Safarpour; Dylan P Thibault; Cori L DeSanto; Cynthia M Boyd; E Ray Dorsey; Brad A Racette; Allison W Willis
Journal:  Neurology       Date:  2015-07-02       Impact factor: 9.910

9.  Spousal Characteristics and Older Adults' Hospice Use: Understanding Disparities in End-of-Life Care.

Authors:  Katherine A Ornstein; Melissa D Aldridge; Christine A Mair; Rebecca Gorges; Albert L Siu; Amy S Kelley
Journal:  J Palliat Med       Date:  2016-03-18       Impact factor: 2.947

10.  A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer.

Authors:  Jui-Kun Chiang; Yu-Hsiang Cheng; Malcolm Koo; Yee-Hsin Kao; Ching-Yu Chen
Journal:  Jpn J Clin Oncol       Date:  2010-01-22       Impact factor: 3.019

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