Literature DB >> 29985699

Factors Contributing To Geographic Variation In End-Of-Life Expenditures For Cancer Patients.

Nancy L Keating1, Haiden A Huskamp2, Elena Kouri3, Deborah Schrag4, Mark C Hornbrook5, David A Haggstrom6, Mary Beth Landrum7.   

Abstract

Health care spending in the months before death varies across geographic areas but is not associated with outcomes. Using data from the prospective multiregional Cancer Care Outcomes Research and Surveillance Consortium (CanCORS) study, we assessed the extent to which such variation is explained by differences in patients' sociodemographic factors, clinical factors, and beliefs; physicians' beliefs; and the availability of services. Among 1,132 patients ages sixty-five and older who were diagnosed with lung or colorectal cancer in 2003-05, had advanced-stage cancer, died before 2013, and were enrolled in fee-for-service Medicare, mean expenditures in the last month of life were $13,663. Physicians in higher-spending areas reported less knowledge about and comfort with treating dying patients and less positive attitudes about hospice, compared to those in lower-spending areas. Higher-spending areas also had more physicians and fewer primary care providers and hospices in proportion to their total population than lower-spending areas did. Availability of services and physicians' beliefs, but not patients' beliefs, were important in explaining geographic variations in end-of-life spending. Enhanced training to better equip physicians to care for patients at the end of life and strategic resource allocation may have potential for decreasing unwarranted variation in care.

Entities:  

Keywords:  Health Spending; Variations

Mesh:

Year:  2018        PMID: 29985699      PMCID: PMC6059805          DOI: 10.1377/hlthaff.2018.0015

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  28 in total

1.  Family Perspectives on Aggressive Cancer Care Near the End of Life.

Authors:  Alexi A Wright; Nancy L Keating; John Z Ayanian; Elizabeth A Chrischilles; Katherine L Kahn; Christine S Ritchie; Jane C Weeks; Craig C Earle; Mary B Landrum
Journal:  JAMA       Date:  2016-01-19       Impact factor: 56.272

2.  The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

3.  Costs of treatment for elderly women with early-stage breast cancer in fee-for-service settings.

Authors:  Joan L Warren; Martin L Brown; Michael P Fay; Nicola Schussler; Arnold L Potosky; Gerald F Riley
Journal:  J Clin Oncol       Date:  2002-01-01       Impact factor: 44.544

4.  Comparison of approaches for estimating prevalence costs of care for cancer patients: what is the impact of data source?

Authors:  K Robin Yabroff; Joan L Warren; Jessica Banthin; Deborah Schrag; Angela Mariotto; William Lawrence; Angela Meekins; Marie Topor; Martin L Brown
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

5.  Evaluation of trends in the cost of initial cancer treatment.

Authors:  Joan L Warren; K Robin Yabroff; Angela Meekins; Marie Topor; Elizabeth B Lamont; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2008-06-10       Impact factor: 13.506

6.  Family perspectives on end-of-life care at the last place of care.

Authors:  Joan M Teno; Brian R Clarridge; Virginia Casey; Lisa C Welch; Terrie Wetle; Renee Shield; Vincent Mor
Journal:  JAMA       Date:  2004-01-07       Impact factor: 56.272

7.  Acute hospital care is the chief driver of regional spending variation in Medicare patients with advanced cancer.

Authors:  Gabriel A Brooks; Ling Li; Hajime Uno; Michael J Hassett; Bruce E Landon; Deborah Schrag
Journal:  Health Aff (Millwood)       Date:  2014-10       Impact factor: 6.301

8.  End-of-Life Care Intensity and Hospice Use: A Regional-level Analysis.

Authors:  Shi-Yi Wang; Melissa D Aldridge; Cary P Gross; Maureen Canavan; Emily Cherlin; Rosemary Johnson-Hurzeler; Elizabeth Bradley
Journal:  Med Care       Date:  2016-07       Impact factor: 2.983

9.  Patients' preferences explain a small but significant share of regional variation in medicare spending.

Authors:  Laurence C Baker; M Kate Bundorf; Daniel P Kessler
Journal:  Health Aff (Millwood)       Date:  2014-06       Impact factor: 6.301

10.  Prognostic importance of comorbidity in a hospital-based cancer registry.

Authors:  Jay F Piccirillo; Ryan M Tierney; Irene Costas; Lori Grove; Edward L Spitznagel
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

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  15 in total

1.  Use of Hospital Referral Regions in Evaluating End-of-Life Care.

Authors:  Brystana G Kaufman; David Klemish; Andrew Olson; Cordt T Kassner; Jerome P Reiter; Matthew Harker; Laura Sheble; Benjamin A Goldstein; Donald H Taylor; Nrupen A Bhavsar
Journal:  J Palliat Med       Date:  2019-08-19       Impact factor: 2.947

2.  Giving Voice to Patient Values Throughout Cancer: A Novel Nurse-Led Intervention.

Authors:  Andrew S Epstein; Anjali V Desai; Camila Bernal; Danielle Romano; Peter J Wan; Molly Okpako; Kelly Anderson; Kimberly Chow; Dana Kramer; Claudia Calderon; Virginia V Klimek; Robin Rawlins-Duell; Diane L Reidy; Jessica I Goldberg; Elizabeth Cruz; Judith E Nelson
Journal:  J Pain Symptom Manage       Date:  2019-04-26       Impact factor: 3.612

3.  What drives variation in spending for breast cancer patients within geographic regions?

Authors:  Anna D Sinaiko; Alyna T Chien; Michael J Hassett; Pragya Kakani; Danielle Rodin; David J Meyers; Belen Fraile; Meredith B Rosenthal; Mary Beth Landrum
Journal:  Health Serv Res       Date:  2018-10-14       Impact factor: 3.402

4.  Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

Authors:  Nancy L Keating; Alistair James O'Malley; Jukka-Pekka Onnela; Stacy W Gray; Bruce E Landon
Journal:  Med Care       Date:  2019-06       Impact factor: 2.983

5.  Goals of care documentation by medical oncologists and oncology patient end-of-life care outcomes.

Authors:  Andrew S Epstein; Michael Riley; Judith E Nelson; Camila Bernal; Steven Martin; Han Xiao
Journal:  Cancer       Date:  2022-07-22       Impact factor: 6.921

6.  First-line treatment in older patients with Hodgkin lymphoma: a Surveillance, Epidemiology, and End Results (SEER)-Medicare population-based study.

Authors:  Angie Mae Rodday; Theresa Hahn; Anita J Kumar; Peter K Lindenauer; Jonathan W Friedberg; Andrew M Evens; Susan K Parsons
Journal:  Br J Haematol       Date:  2020-02-23       Impact factor: 6.998

7.  Physician Influence on Variation in Receipt of Aggressive End-of-Life Care Among Women Dying of Ovarian Cancer.

Authors:  Megan A Mullins; Shitanshu Uppal; Julie J Ruterbusch; Michele L Cote; Philippa Clarke; Lauren P Wallner
Journal:  JCO Oncol Pract       Date:  2021-09-28

8.  Association Between Delivery System Structure and Intensity of End-of-Life Cancer Care.

Authors:  Lindsey A Herrel; Ziwei Zhu; Jennifer J Griggs; Deborah R Kaye; James M Dupree; Chandy S Ellimoottil; David C Miller
Journal:  JCO Oncol Pract       Date:  2020-02-18

9.  Social Determinants of Health and Geographic Variation in Medicare per Beneficiary Spending.

Authors:  Yongkang Zhang; Jing Li; Jiani Yu; Robert Tyler Braun; Lawrence P Casalino
Journal:  JAMA Netw Open       Date:  2021-06-01

10.  Sociodemographic and hospital-based predictors of intense end-of-life care among children, adolescents, and young adults with hematologic malignancies.

Authors:  Sophia Mun; Rong Wang; Xiaomei Ma; Prasanna Ananth
Journal:  Cancer       Date:  2021-06-29       Impact factor: 6.921

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