Literature DB >> 17157758

Predicted survival vs. actual survival in terminally ill noncancer patients in Dutch nursing homes.

Hella E Brandt1, Marcel E Ooms, Miel W Ribbe, Gerrit van der Wal, Luc Deliens.   

Abstract

Studies on the prediction of survival have mainly focused on hospital and hospice patients suffering from cancer. The aim of this study was to describe the predicted vs. the actual survival in terminally ill, mainly noncancer patients in Dutch nursing homes (NHs). A prospective cohort study was conducted in 16 NHs representative for The Netherlands. A total of 515 NH patients with a maximum life expectancy of 6 weeks, as assessed by an NH physician, were included. NH physicians were accurate in more than 90% of their prognoses for terminally ill--mainly noncancer--NH patients, when death occurred within 7 days. For a longer period of time, their predictions became inaccurate. In the category of patients who were expected to die within 8-21 days, predictions were accurate in 16.0%, and in the category of patients expected to die within 22-42 days, this was 13.0%. Predictions in these categories were mainly optimistic (patient died earlier) in 68.6% and 52.2%, respectively. The findings of this study suggest that accurate prediction of survival of (mainly) noncancer patients in NHs is only possible when death is imminent and seems to be dependent on an intimate knowledge of patients. Prognostication over a longer period of time tends to be less accurate, and, therefore, continues to be a challenging task for NH physicians.

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Year:  2006        PMID: 17157758     DOI: 10.1016/j.jpainsymman.2006.06.006

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  8 in total

1.  Making sense of continuous sedation in end-of-life care for cancer patients: an interview study with bereaved relatives in three European countries.

Authors:  S M Bruinsma; J Brown; A van der Heide; L Deliens; L Anquinet; S A Payne; J E Seymour; J A C Rietjens
Journal:  Support Care Cancer       Date:  2014-07-15       Impact factor: 3.603

2.  Initial Development of a Computer Algorithm to Identify Patients With Breast and Lung Cancer Having Poor Prognosis in a Safety Net Hospital.

Authors:  Ramona L Rhodes; Sabiha Kazi; Lei Xuan; Ruben Amarasingham; Ethan A Halm
Journal:  Am J Hosp Palliat Care       Date:  2015-07-02       Impact factor: 2.500

3.  How accurate are physicians in the prediction of patient survival in advanced lung cancer?

Authors:  Christelle Clément-Duchêne; Charlotte Carnin; Francis Guillemin; Yves Martinet
Journal:  Oncologist       Date:  2010-06-17

4.  The worst is yet to come. Many elderly patients with chronic terminal illnesses will eventually die in the emergency department.

Authors:  Erwin J O Kompanje
Journal:  Intensive Care Med       Date:  2010-03-13       Impact factor: 17.440

5.  Clinical changes in terminally ill cancer patients and death within 48 h: when should we refer patients to a separate room?

Authors:  In Cheol Hwang; Hong Yup Ahn; Sang Min Park; Jae Yong Shim; Kyoung Kon Kim
Journal:  Support Care Cancer       Date:  2012-09-07       Impact factor: 3.603

6.  Drug treatment at the end of life: an epidemiologic study in nursing homes.

Authors:  Kristian Jansen; Margrethe Aase Schaufel; Sabine Ruths
Journal:  Scand J Prim Health Care       Date:  2014-11-03       Impact factor: 2.581

7.  Who finds the road to palliative home care support? A nationwide analysis on the use of supportive measures for palliative home care using linked administrative databases.

Authors:  Arno Maetens; Kim Beernaert; Luc Deliens; Birgit Gielen; Joachim Cohen
Journal:  PLoS One       Date:  2019-03-12       Impact factor: 3.240

Review 8.  A Systematic Review of Predictions of Survival in Palliative Care: How Accurate Are Clinicians and Who Are the Experts?

Authors:  Nicola White; Fiona Reid; Adam Harris; Priscilla Harries; Patrick Stone
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

  8 in total

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