Literature DB >> 3196122

Predicting life span for applicants to inpatient hospice.

L E Forster1, J Lynn.   

Abstract

The advent of hospice programs and their funding under Medicare has recently made eligibility for substantial insured services turn on whether a patient has less than three or six months to live. The implicit assumption is that physicians can provide this prediction accurately. To test this assumption and to improve predictions, the life spans of 108 consecutive applications for inpatient hospice care were estimated independently by two oncologists, an internist, an oncology nurse, and a hospice social worker, based on data in a ten-page multidisciplinary application packet. The applicants were followed up until death. Actual life span was correlated with predictions. The median (+/- SD) life span was 3.5 +/- 12.4 weeks. The predictions as a group were overly optimistic about survival by an average of 3.4 weeks. The best prognosticator's prediction was only moderately correlated with actual life span, and no two prognosticator's predictions correlated closely with one another. Predicting actual interval until death was more accurate than predicting a 90% confidence interval around the time of death, though the latter procedure was better at avoiding the error of unpredicted long-term survivors. This imprecision in "expert" estimation of life span poses substantial problems for hospice programs and policymakers.

Entities:  

Keywords:  Death and Euthanasia; Empirical Approach

Mesh:

Year:  1988        PMID: 3196122

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  21 in total

1.  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

2.  Classification and staging of terminal cancer patients: rationale and objectives of a multicentre cohort prospective study and methods used. The Italian Co-operative Research Group on Palliative Medicine.

Authors:  F Toscani
Journal:  Support Care Cancer       Date:  1996-01       Impact factor: 3.603

3.  Development of a prognostic index in cancer patients with low performance status.

Authors:  José Ferraz Gonçalves; Isabel Costa; Carolina Monteiro
Journal:  Support Care Cancer       Date:  2005-03-31       Impact factor: 3.603

4.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

Review 5.  Radiotherapeutic approaches to metastatic disease.

Authors:  Edward Chow; Jackson Wu; Andrew Loblaw; Carlos A Perez
Journal:  World J Urol       Date:  2003-08-09       Impact factor: 4.226

6.  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

Review 7.  A systematic review of physicians' survival predictions in terminally ill cancer patients.

Authors:  Paul Glare; Kiran Virik; Mark Jones; Malcolm Hudson; Steffen Eychmuller; John Simes; Nicholas Christakis
Journal:  BMJ       Date:  2003-07-26

8.  Expectations about the effectiveness of radiation therapy among patients with incurable lung cancer.

Authors:  Aileen B Chen; Angel Cronin; Jane C Weeks; Elizabeth A Chrischilles; Jennifer Malin; James A Hayman; Deborah Schrag
Journal:  J Clin Oncol       Date:  2013-06-17       Impact factor: 44.544

9.  Longitudinal temporal and probabilistic prediction of survival in a cohort of patients with advanced cancer.

Authors:  Pedro E Perez-Cruz; Renata Dos Santos; Thiago Buosi Silva; Camila Souza Crovador; Maria Salete de Angelis Nascimento; Stacy Hall; Julieta Fajardo; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-16       Impact factor: 3.612

10.  Prognostic factors for survival in terminal lung cancer patients.

Authors:  R S Schonwetter; B E Robinson; G Ramirez
Journal:  J Gen Intern Med       Date:  1994-07       Impact factor: 5.128

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