Literature DB >> 8077995

Timing of referral of terminally ill patients to an outpatient hospice.

N A Christakis1.   

Abstract

OBJECTIVE: Since inordinately long or short lengths of stay at hospice can create problems for patients, providers, and payers, the author sought to identify predictors of timing of patient referral.
METHODS: A retrospective cohort of 405 hospice outpatients was analyzed with Cox regression to evaluate the effect on length of stay of patient age, gender, race, diagnosis, activity level, mental status, dyspnea, insurance, income, religion, and home support, and of referring physician specialty.
RESULTS: Median survival time at the hospice was 29 days; 15% of the patients died within seven days and 12% lived longer than 180 days. A one-unit increment in a six-unit activity-level scale was associated with a 19% reduction in the rate of death. Compared with reference groups, oriented patients and depressed patients had 57% and 35% lower death rates; patients with prostate cancer and cardiovascular disease had 50% and 58% lower death rates. There was no significant gender, race, religion, insurance, or income difference among the patient groups.
CONCLUSIONS: Inappropriately early or late referral occurs in a substantial minority of patients referred to the hospice under study. Closer attention to accurate prognostication in different types of terminally ill patients and more timely referral to hospice might help to optimize the use of this health care resource from both patient and societal perspectives.

Entities:  

Mesh:

Year:  1994        PMID: 8077995     DOI: 10.1007/bf02599178

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  31 in total

1.  The effects of hospice coverage on Medicare expenditures.

Authors:  D Kidder
Journal:  Health Serv Res       Date:  1992-06       Impact factor: 3.402

2.  Rx for dying: the case for hospice.

Authors:  W Bulkin; H Lukashok
Journal:  N Engl J Med       Date:  1988-02-11       Impact factor: 91.245

3.  A profile of hospice programs in Pennsylvania.

Authors:  M Kriebel
Journal:  Hosp J       Date:  1989

4.  Religion and differences in morbidity and mortality.

Authors:  G K Jarvis; H C Northcott
Journal:  Soc Sci Med       Date:  1987       Impact factor: 4.634

5.  Psychosocial predictors of mortality among the elderly poor. The role of religion, well-being, and social contacts.

Authors:  D M Zuckerman; S V Kasl; A M Ostfeld
Journal:  Am J Epidemiol       Date:  1984-03       Impact factor: 4.897

6.  Hospice role in alleviating the emotional stress of terminal patients and their families.

Authors:  R L Kane; S J Klein; L Bernstein; R Rothenberg; J Wales
Journal:  Med Care       Date:  1985-03       Impact factor: 2.983

7.  Who needs a hospice?

Authors:  P G Briggs
Journal:  Med J Aust       Date:  1992-03-16       Impact factor: 7.738

8.  An alternative in terminal care: results of the National Hospice Study.

Authors:  D S Greer; V Mor; J N Morris; S Sherwood; D Kidder; H Birnbaum
Journal:  J Chronic Dis       Date:  1986

9.  Dyspnea in terminally ill cancer patients.

Authors:  D B Reuben; V Mor
Journal:  Chest       Date:  1986-02       Impact factor: 9.410

10.  Medicare hospice benefit: early program experiences.

Authors:  F A Davis
Journal:  Health Care Financ Rev       Date:  1988
View more
  6 in total

1.  End-of-life care in Medicare beneficiaries dying with pancreatic cancer.

Authors:  Kristin M Sheffield; Casey A Boyd; Jamie Benarroch-Gampel; Yong-Fang Kuo; Catherine D Cooksley; Taylor S Riall
Journal:  Cancer       Date:  2011-04-14       Impact factor: 6.860

2.  Approach to end of life care.

Authors:  David H Lee
Journal:  Ochsner J       Date:  2002

3.  Can hospices predict which patients will die within six months?

Authors:  Pamela S Harris; Tapati Stalam; Kevin A Ache; Joan E Harrold; Teresa Craig; Joan Teno; Eugenia Smither; Meredith Dougherty; David Casarett
Journal:  J Palliat Med       Date:  2014-06-12       Impact factor: 2.947

4.  Associations among awareness of prognosis, hopefulness, and coping in patients with advanced cancer participating in phase I clinical trials.

Authors:  Paul R Helft; Fay Hlubocky; Ming Wen; Christopher K Daugherty
Journal:  Support Care Cancer       Date:  2003-07-12       Impact factor: 3.603

5.  Extensions to regret-based decision curve analysis: an application to hospice referral for terminal patients.

Authors:  Athanasios Tsalatsanis; Laura E Barnes; Iztok Hozo; Benjamin Djulbegovic
Journal:  BMC Med Inform Decis Mak       Date:  2011-12-23       Impact factor: 2.796

6.  Rough set theory based prognostic classification models for hospice referral.

Authors:  Eleazar Gil-Herrera; Garrick Aden-Buie; Ali Yalcin; Athanasios Tsalatsanis; Laura E Barnes; Benjamin Djulbegovic
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-25       Impact factor: 2.796

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.