Literature DB >> 22468739

Association of age, gender, and race with intensity of end-of-life care for Medicare beneficiaries with cancer.

Susan Miesfeldt1, Kimberly Murray, Lee Lucas, Chiang-Hua Chang, David Goodman, Nancy E Morden.   

Abstract

PURPOSE: To measure intensity of end-of-life (EOL) care for Medicare cancer patients and variations in care by age, gender, and race. PATIENTS AND METHODS: This retrospective cohort analysis of Medicare claims (20% sample) examined 235,821 Medicare Parts A and B fee-for-service patients dying with poor-prognosis cancers between 2003 and 2007. Logistic regression models quantified associations between care intensity and age, gender, and race. Measures included hospitalizations, emergency department (ED) visits, intensive care unit (ICU) admissions, in-hospital deaths, late-life chemotherapy administration, overall and late hospice enrollment within six months of death.
RESULTS: Within 30 days of death, 61.3% of patients were hospitalized, 10.2% were hospitalized more than once, 10.2% visited an ED more than once, 23.7% had ICU admissions, and 28.8% died in-hospital. Within two weeks of death, 6% received chemotherapy. In their final six months, 55.2% accessed hospice, 15.1% within three days of death. Older age (≥75 versus <75) was associated with lower odds ratios (ORs) of 0.49 to 0.89 for aggressive care, and an OR of 0.92 (95% CI 0.89-0.95) for late hospice enrollment. Female gender was associated with lower ORs (0.82 to 0.86) for aggressive care, and an OR of 0.84 (95% CI 0.81-0.86) for late hospice enrollment. Black (versus nonblack) race was associated with higher ORs (1.08 to 1.38) for aggressive acute care, lower ORs for late chemotherapy, OR 0.76 (95% CI 0.71-0.81), and late hospice enrollment, OR 0.81 (95% CI 0.76-0.86).
CONCLUSIONS: Seniors dying with poor-prognosis cancer experience high-intensity care with rates varying by age, gender, and race.

Entities:  

Mesh:

Year:  2012        PMID: 22468739      PMCID: PMC3353746          DOI: 10.1089/jpm.2011.0310

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  40 in total

1.  Hospice use in Medicare managed care and fee-for-service systems.

Authors:  B A Virnig; E S Fisher; A M McBean; S Kind
Journal:  Am J Manag Care       Date:  2001-08       Impact factor: 2.229

Review 2.  Identifying potential indicators of the quality of end-of-life cancer care from administrative data.

Authors:  Craig C Earle; Elyse R Park; Bonnie Lai; Jane C Weeks; John Z Ayanian; Susan Block
Journal:  J Clin Oncol       Date:  2003-03-15       Impact factor: 44.544

Review 3.  Impact of age, sex, and comorbidity on cancer therapy and disease progression.

Authors:  Sumanta Kumar Pal; Arti Hurria
Journal:  J Clin Oncol       Date:  2010-07-19       Impact factor: 44.544

Review 4.  The effects of patient race on outcomes in seriously ill patients in SUPPORT: an overview of economic impact, medical intervention, and end-of-life decisions. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments.

Authors:  M L Borum; J Lynn; Z Zhong
Journal:  J Am Geriatr Soc       Date:  2000-05       Impact factor: 5.562

5.  Impact of referral patterns on the use of chemotherapy for lung cancer.

Authors:  Craig C Earle; Peter J Neumann; Richard D Gelber; Milton C Weinstein; Jane C Weeks
Journal:  J Clin Oncol       Date:  2002-04-01       Impact factor: 44.544

6.  Disease-specific patterns of hospice and related healthcare use in an incidence cohort of seriously ill elderly patients.

Authors:  Theodore J Iwashyna; James X Zhang; Nicholas A Christakis
Journal:  J Palliat Med       Date:  2002-08       Impact factor: 2.947

7.  Hospice use among Medicare managed care and fee-for-service patients dying with cancer.

Authors:  Ellen P McCarthy; Risa B Burns; Quyen Ngo-Metzger; Roger B Davis; Russell S Phillips
Journal:  JAMA       Date:  2003-05-07       Impact factor: 56.272

8.  Decreasing variation in the use of hospice among older adults with breast, colorectal, lung, and prostate cancer.

Authors:  Nuha A Lackan; Glenn V Ostir; Jean L Freeman; Jonathan D Mahnken; James S Goodwin
Journal:  Med Care       Date:  2004-02       Impact factor: 2.983

9.  Trends in the aggressiveness of cancer care near the end of life.

Authors:  Craig C Earle; Bridget A Neville; Mary Beth Landrum; John Z Ayanian; Susan D Block; Jane C Weeks
Journal:  J Clin Oncol       Date:  2004-01-15       Impact factor: 44.544

10.  Chemotherapy use among Medicare beneficiaries at the end of life.

Authors:  Ezekiel J Emanuel; Yinong Young-Xu; Norman G Levinsky; Gail Gazelle; Olga Saynina; Arlene S Ash
Journal:  Ann Intern Med       Date:  2003-04-15       Impact factor: 25.391

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  50 in total

1.  The Impact of Race on Intensity of Care Provided to Older Adults in the Medical Intensive Care Unit.

Authors:  Chidinma Chima-Melton; Terrence E Murphy; Katy L B Araujo; Margaret A Pisani
Journal:  J Racial Ethn Health Disparities       Date:  2015-09-28

2.  Gender differences in the evolution of illness understanding among patients with advanced cancer.

Authors:  Kalen Fletcher; Holly G Prigerson; Elizabeth Paulk; Jennifer Temel; Esme Finlay; Lisa Marr; Ruth McCorkle; Lorna Rivera; Francisco Munoz; Paul K Maciejewski
Journal:  J Support Oncol       Date:  2013-09

3.  Regional Practice Patterns and Racial/Ethnic Differences in Intensity of End-of-Life Care.

Authors:  Shi-Yi Wang; Sylvia H Hsu; Siwan Huang; Kathy C Doan; Cary P Gross; Xiaomei Ma
Journal:  Health Serv Res       Date:  2018-06-27       Impact factor: 3.402

4.  Disparities in end of life care for elderly lung cancer patients.

Authors:  Preethy Nayar; Fang Qiu; Shinobu Watanabe-Galloway; Eugene Boilesen; Hongmei Wang; Lina Lander; Monirul Islam
Journal:  J Community Health       Date:  2014-10

5.  Processes of discontinuing chemotherapy for metastatic non-small-cell lung cancer at the end of life.

Authors:  William F Pirl; Joseph A Greer; Kelly Irwin; Inga T Lennes; Vicki A Jackson; Elyse R Park; Daisuke Fujisawa; Alexi A Wright; Jennifer S Temel
Journal:  J Oncol Pract       Date:  2015-03-31       Impact factor: 3.840

6.  Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit.

Authors:  Mallika L Mundkur; Fiona M Callaghan; Swapna Abhyankar; Clement J McDonald
Journal:  J Racial Ethn Health Disparities       Date:  2016-06-20

7.  The Affordable Care Act's Medicaid Expansion and Impact Along the Cancer-Care Continuum: A Systematic Review.

Authors:  Haley A Moss; Jenny Wu; Samantha J Kaplan; S Yousuf Zafar
Journal:  J Natl Cancer Inst       Date:  2020-08-01       Impact factor: 13.506

8.  End-of-Life Intensity for Adolescents and Young Adults With Cancer: A Californian Population-Based Study That Shows Disparities.

Authors:  Emily E Johnston; Elysia Alvarez; Olga Saynina; Lee Sanders; Smita Bhatia; Lisa J Chamberlain
Journal:  J Oncol Pract       Date:  2017-08-22       Impact factor: 3.840

9.  Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life.

Authors:  Rong Wang; Amer M Zeidan; Stephanie Halene; Xiao Xu; Amy J Davidoff; Scott F Huntington; Nikolai A Podoltsev; Cary P Gross; Steven D Gore; Xiaomei Ma
Journal:  J Clin Oncol       Date:  2017-08-07       Impact factor: 44.544

Review 10.  Social Inequalities in Palliative Care for Cancer Patients in the United States: A Structured Review.

Authors:  Ronit Elk; Tisha M Felder; Ebru Cayir; Cleo A Samuel
Journal:  Semin Oncol Nurs       Date:  2018-08-23       Impact factor: 2.315

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