Literature DB >> 18823751

Predicting survival with the Palliative Performance Scale in a minority-serving hospice and palliative care program.

Li-Chueh Weng1, Hsiu-Li Huang, Diana J Wilkie, Noreen A Hoenig, Marie L Suarez, Michael Marschke, Jan Durham.   

Abstract

Palliative Performance Scale (PPS) scores have shown potential for prognosticating survival in Caucasian samples, but have not been studied for prognostic value in cancer patients from minority groups. Using data obtained from a retrospective chart audit of 492 cancer patients admitted over an 18-month period to a minority-serving home-based hospice and palliative care program, we examined the relationship between PPS scores and length of survival (survival days). Patients with PPS scores of 10% to 30% had fewer survival days than those with scores of 40% and those with scores of 50% to 100% (median=6, 19, and 34 days, respectively; F=25.02, P<0.001). A PPS score of 40% serves as a reliable inclusion criterion for a study requiring two weeks for completion, whereas 50% to 100% is required for a three-week study. Findings from a predominantly minority sample are similar to those from predominantly Caucasian samples.

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Year:  2008        PMID: 18823751      PMCID: PMC2699378          DOI: 10.1016/j.jpainsymman.2008.03.023

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


  13 in total

1.  Validity of the palliative performance scale from a survival perspective.

Authors:  T Morita; J Tsunoda; S Inoue; S Chihara
Journal:  J Pain Symptom Manage       Date:  1999-07       Impact factor: 3.612

2.  Validation of the palliative performance scale for inpatients admitted to a palliative care unit in Sydney, Australia.

Authors:  Kiran Virik; Paul Glare
Journal:  J Pain Symptom Manage       Date:  2002-06       Impact factor: 3.612

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Journal:  N Engl J Med       Date:  1996-07-18       Impact factor: 91.245

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Authors:  F Anderson; G M Downing; J Hill; L Casorso; N Lerch
Journal:  J Palliat Care       Date:  1996       Impact factor: 2.250

5.  Measuring the accuracy of prognostic judgments in oncology.

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Journal:  J Clin Epidemiol       Date:  1997-01       Impact factor: 6.437

6.  Prognostication in hospice care: can the palliative performance scale help?

Authors:  Barbara Head; Christine S Ritchie; Tonya M Smoot
Journal:  J Palliat Med       Date:  2005-06       Impact factor: 2.947

7.  Is the palliative performance scale a useful predictor of mortality in a heterogeneous hospice population?

Authors:  Joan Harrold; Elizabeth Rickerson; Janet T Carroll; Jennifer McGrath; Knashawn Morales; Jennifer Kapo; David Casarett
Journal:  J Palliat Med       Date:  2005-06       Impact factor: 2.947

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Authors:  T Morita; J Tsunoda; S Inoue; S Chihara
Journal:  Am J Hosp Palliat Care       Date:  2000 May-Jun       Impact factor: 2.500

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Authors:  Francis Lau; G Michael Downing; Mary Lesperance; Jack Shaw; Craig Kuziemsky
Journal:  J Palliat Med       Date:  2006-10       Impact factor: 2.947

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Authors:  E Fox; K Landrum-McNiff; Z Zhong; N V Dawson; A W Wu; J Lynn
Journal:  JAMA       Date:  1999-11-03       Impact factor: 56.272

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  20 in total

1.  Hospice referrals and code status: outcomes of inpatient palliative care consultations among Asian Americans and Pacific Islanders with cancer.

Authors:  Christina L Bell; Meiko Kuriya; Daniel Fischberg
Journal:  J Pain Symptom Manage       Date:  2011-04-22       Impact factor: 3.612

2.  The art versus science of predicting prognosis: can a prognostic index predict short-term mortality better than experienced nurses do?

Authors:  David J Casarett; Sue Farrington; Teresa Craig; Julie Slattery; Joan Harrold; Betty Oldanie; Jason Roy; Richard Biehl; Joan Teno
Journal:  J Palliat Med       Date:  2012-05-14       Impact factor: 2.947

3.  Which hospice patients with cancer are able to die in the setting of their choice? Results of a retrospective cohort study.

Authors:  Neha Jeurkar; Sue Farrington; Teresa R Craig; Julie Slattery; Joan K Harrold; Betty Oldanie; Joan M Teno; David J Casarett
Journal:  J Clin Oncol       Date:  2012-06-25       Impact factor: 44.544

4.  Using the Palliative Performance Scale to Estimate Survival for Patients at the End of Life: A Systematic Review of the Literature.

Authors:  Dawon Baik; David Russell; Lizeyka Jordan; Frances Dooley; Kathryn H Bowles; Ruth M Masterson Creber
Journal:  J Palliat Med       Date:  2018-08-21       Impact factor: 2.947

5.  Predictors of Quality of Life in Elderly Hospice Patients with Cancer.

Authors:  Christopher M Garrison; Janine Overcash; Susan C McMillan
Journal:  J Hosp Palliat Nurs       Date:  2011-09       Impact factor: 1.918

6.  Oral health conditions affect functional and social activities of terminally ill cancer patients.

Authors:  D J Fischer; J B Epstein; Y Yao; D J Wilkie
Journal:  Support Care Cancer       Date:  2014-03       Impact factor: 3.603

7.  Patterns of functional decline in hospice: what can individuals and their families expect?

Authors:  Pamela Harris; Esther Wong; Sue Farrington; Teresa R Craig; Joan K Harrold; Betty Oldanie; Joan M Teno; David J Casarett
Journal:  J Am Geriatr Soc       Date:  2013-01-24       Impact factor: 5.562

8.  Model for the First NIH-funded Center of Excellence in End-of-Life Research.

Authors:  Gail M Keenan; Karen Kavanaugh; Diana J Wilkie; Gloria Bonner; Catherine Ryan; Dena J Fischer; Teresa Savage; Heeseung Choi; Sandy C Burgener; Marquis D Foreman; Han Yan
Journal:  J Hosp Palliat Nurs       Date:  2011-01-01       Impact factor: 1.918

9.  Effect of the Medicare face-to-face visit requirement on hospice utilization.

Authors:  Joan Harrold; Pam Harris; Dena Green; Teresa Craig; David J Casarett
Journal:  J Palliat Med       Date:  2013-01-11       Impact factor: 2.947

10.  Symptom clusters in patients with cancer in the hospice/palliative care setting.

Authors:  Stephen J Stapleton; Janean Holden; Joel Epstein; Diana J Wilkie
Journal:  Support Care Cancer       Date:  2016-04-15       Impact factor: 3.603

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