Literature DB >> 20572030

Influence of patients' preferences and treatment site on cancer patients' end-of-life care.

Alexi A Wright1, Jennifer W Mack, Patricia A Kritek, Tracy A Balboni, Anthony F Massaro, Ursula A Matulonis, Susan D Block, Holly G Prigerson.   

Abstract

BACKGROUND: Research suggests that patients' end-of-life (EOL) care is determined primarily by the medical resources available, and not by patient preferences. The authors examined whether patients' desire for life-extending therapy was associated with their EOL care.
METHODS: Coping with Cancer is a multisite, prospective, longitudinal study of patients with advanced cancer. Three hundred one patients were interviewed at baseline and followed until death, a median of 4.5 months later. Multivariate analyses examined the influence of patients' preferences and treatment site on whether patients received intensive care or hospice services in the final week of life.
RESULTS: Eighty-three of 301 patients (27.6%) with advanced cancer wanted life-extending therapy at baseline. Patients who understood that their disease was terminal or who reported having EOL discussions with their physicians were less likely to want life-extending care compared with others (23.4% vs 42.6% and 20.7% vs 44.4%, respectively; P≤.003). Patients who were treated at Yale Cancer Center received more intensive care (odds ratio [OR], 3.14; 95% confidence interval [CI], 1.16-8.47) and less hospice services (OR, 0.52; 95% CI, 0.29-0.92) compared with patients who were treated at Parkland Hospital. However, in multivariate analyses that controlled for confounding influences, patients who preferred life-extending care were more likely to receive intensive care (adjusted OR [AOR], 2.91; 95% CI, 1.09-7.72) and were less likely to receive hospice services (AOR, 0.45; 95% CI, 0.26-0.78). Treatment site was not identified as a significant predictor of EOL care.
CONCLUSIONS: The treatment preferences of patients with advanced cancer may play a more important role in determining the intensity of medical care received at the EOL than previously recognized. Future research is needed to determine the mechanisms by which patients' preferences for care and treatment site interact to influence EOL care.
Copyright © 2010 American Cancer Society.

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Mesh:

Year:  2010        PMID: 20572030      PMCID: PMC3670423          DOI: 10.1002/cncr.25217

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  19 in total

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3.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

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Authors:  S R Cohen; B M Mount; M G Strobel; F Bui
Journal:  Palliat Med       Date:  1995-07       Impact factor: 4.762

5.  Rural-urban differences in cancer care: results from the Lake Superior Rural Cancer Care Project.

Authors:  Thomas E Elliott; Barbara A Elliott; Colleen M Renier; Irina V Haller
Journal:  Minn Med       Date:  2004-09

6.  A prospective study of the impact of patient preferences on life-sustaining treatment and hospital cost.

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Journal:  Crit Care Med       Date:  1996-11       Impact factor: 7.598

7.  Relationship between cancer patients' predictions of prognosis and their treatment preferences.

Authors:  J C Weeks; E F Cook; S J O'Day; L M Peterson; N Wenger; D Reding; F E Harrell; P Kussin; N V Dawson; A F Connors; J Lynn; R S Phillips
Journal:  JAMA       Date:  1998-06-03       Impact factor: 56.272

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9.  Socialization to dying: social determinants of death acknowledgement and treatment among terminally ill geriatric patients.

Authors:  H G Prigerson
Journal:  J Health Soc Behav       Date:  1992-12

10.  Use of hospitals, physician visits, and hospice care during last six months of life among cohorts loyal to highly respected hospitals in the United States.

Authors:  John E Wennberg; Elliott S Fisher; Thérèse A Stukel; Jonathan S Skinner; Sandra M Sharp; Kristen K Bronner
Journal:  BMJ       Date:  2004-03-13
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  53 in total

1.  Hospice Enrollment, Local Hospice Utilization Patterns, and Rehospitalization in Medicare Patients.

Authors:  Timothy R Holden; Maureen A Smith; Christie M Bartels; Toby C Campbell; Menggang Yu; Amy J H Kind
Journal:  J Palliat Med       Date:  2015-04-16       Impact factor: 2.947

2.  Dartmouth Atlas: putting end-of-life care on the map but missing psychosocial detail.

Authors:  Holly G Prigerson; Paul K Maciejewski
Journal:  J Support Oncol       Date:  2011-09-23

3.  Racial disparities in the outcomes of communication on medical care received near death.

Authors:  Jennifer W Mack; M Elizabeth Paulk; Kasisomayajula Viswanath; Holly G Prigerson
Journal:  Arch Intern Med       Date:  2010-09-27

4.  Early palliative care in cancer treatment: rationale, evidence and clinical implications.

Authors:  Lynn Howie; Jeffrey Peppercorn
Journal:  Ther Adv Med Oncol       Date:  2013-11       Impact factor: 8.168

5.  A Patient-Reported Outcome Instrument to Assess Symptom Burden and Predict Survival in Patients with Advanced Cancer: Flipping the Paradigm to Improve Timing of Palliative and End-of-Life Discussions and Reduce Unwanted Health Care Costs.

Authors:  Stuart L Goldberg; Dhakshila Paramanathan; Raya Khoury; Sharmi Patel; Dayo Jagun; Srikesh Arunajadai; Victoria DeVincenzo; Ruth Pe Benito; Brooke Gruman; Sukhi Kaur; Scott Paddock; Andrew D Norden; Eric V Schultz; John Hervey; Terrill Jordan; Andre Goy; Andrew L Pecora
Journal:  Oncologist       Date:  2018-09-28

6.  Variability Among US Intensive Care Units in Managing the Care of Patients Admitted With Preexisting Limits on Life-Sustaining Therapies.

Authors:  Joanna L Hart; Michael O Harhay; Nicole B Gabler; Sarah J Ratcliffe; Caroline M Quill; Scott D Halpern
Journal:  JAMA Intern Med       Date:  2015-06       Impact factor: 21.873

7.  Clinical trial participation among ethnic/racial minority and majority patients with advanced cancer: what factors most influence enrollment?

Authors:  Rachel Jimenez; Baohui Zhang; Steven Joffe; Matthew Nilsson; Lorna Rivera; Jan Mutchler; Christopher Lathan; M Elizabeth Paulk; Holly G Prigerson
Journal:  J Palliat Med       Date:  2013-02-05       Impact factor: 2.947

8.  Quality of Life and Cost of Care at the End of Life: The Role of Advance Directives.

Authors:  Melissa M Garrido; Tracy A Balboni; Paul K Maciejewski; Yuhua Bao; Holly G Prigerson
Journal:  J Pain Symptom Manage       Date:  2014-12-11       Impact factor: 3.612

9.  Minor cognitive impairments in cancer patients magnify the effect of caregiver preferences on end-of-life care.

Authors:  Xin Gao; Holly G Prigerson; Eli L Diamond; Baohui Zhang; Alexi A Wright; Fremonta Meyer; Paul K Maciejewski
Journal:  J Pain Symptom Manage       Date:  2012-07-28       Impact factor: 3.612

10.  High Intensity of End-of-Life Care Among Adolescent and Young Adult Cancer Patients in the New York State Medicaid Program.

Authors:  Jennifer W Mack; Kun Chen; Francis P Boscoe; Foster C Gesten; Patrick J Roohan; Maria J Schymura; Deborah Schrag
Journal:  Med Care       Date:  2015-12       Impact factor: 2.983

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