Literature DB >> 14622452

Factors associated with the high prevalence of short hospice stays.

Susan C Miller1, Sherry Weitzen, Barrt Kinzbrunner.   

Abstract

This study's goal was to gain an understanding of the factors associated with hospice stays of 7 days or less (i.e., short hospice stays), and to test the hypothesis that independent of changes in sociodemographics, diagnoses, and site-of-care, the likelihood of a short hospice stay increased over time. We examined hospice stays for 46655 nursing home and 80507 non-nursing home patients admitted between October 1994 and September 1999 to 21 hospices across 7 states, and owned by 1 provider. Logistic regression was used to determine the factors significantly associated with a higher probability of a short stay. Compared to patients admitted in (fiscal year) 1995, and controlling for potential confounders, the probability of a short stay significantly increased in each year after 1995 in nursing homes, and in 1999 in non-nursing home settings. In (fiscal year) 1995, a nursing home resident admitted to hospice had a 26% probability (95% confidence interval [CI] 0.24, 0.28) of a less than 8-day stay and, in (fiscal year) 1999, the probability was 33% (95% CI 0.31, 0.34); a non-nursing home patient had a 32% probability in 1995 (95% CI 0.30, 0.34) and a 36% probability in 1999 (95% CI 0.34, 0.37). The probability of a short hospice stay was greater for patients with noncancer diagnoses, independent of year of hospice admission. In this paper we discuss the possible underlying reasons for the increased probability of short hospice stays and we speculate on what this increase may mean in terms of hospice's ability to provide high-quality end-of-life care.

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Year:  2003        PMID: 14622452     DOI: 10.1089/109662103322515239

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  16 in total

1.  The growth of hospice care in U.S. nursing homes.

Authors:  Susan C Miller; Julie Lima; Pedro L Gozalo; Vincent Mor
Journal:  J Am Geriatr Soc       Date:  2010-07-14       Impact factor: 5.562

2.  Racial disparities in in-hospital death and hospice use among nursing home residents at the end of life.

Authors:  Nan Tracy Zheng; Dana B Mukamel; Thomas Caprio; Shubing Cai; Helena Temkin-Greener
Journal:  Med Care       Date:  2011-11       Impact factor: 2.983

3.  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

4.  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

5.  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

6.  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

7.  Has Hospice Use Changed? 2000-2010 Utilization Patterns.

Authors:  Melissa D Aldridge; Maureen Canavan; Emily Cherlin; Elizabeth H Bradley
Journal:  Med Care       Date:  2015-01       Impact factor: 2.983

8.  Race, treatment preferences, and hospice enrollment: eligibility criteria may exclude patients with the greatest needs for care.

Authors:  Jessica Fishman; Peter O'Dwyer; Hien L Lu; Hope R Henderson; Hope Henderson; David A Asch; David J Casarett
Journal:  Cancer       Date:  2009-02-01       Impact factor: 6.860

9.  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

10.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

Authors:  Jui-Kun Chiang; Ning-Sheng Lai; Mei-Huang Wang; Shi-Chi Chen; Yee-Hsin Kao
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

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