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Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study.
Baird, Courtney E; Wulff-Burchfield, Elizabeth; Egan, Pamela C; Hugar, Lee A; Vyas, Ami; Trikalinos, Nikolaos A; Liu, Michael A; Bélanger, Emmanuelle; Olszewski, Adam J; Bantis, Leonidas E; Panagiotou, Orestis A.
Afiliação
  • Baird CE; Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA. Electronic address: courtney_baird@brown.edu.
  • Wulff-Burchfield E; Medical Oncology Division and Palliative Medicine Division, Department of Internal Medicine, University of Kansas School of Medicine, University of Kansas Cancer Center, The University of Kansas Health System, Kansas City, KS, USA.
  • Egan PC; Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
  • Hugar LA; Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
  • Vyas A; University of Rhode Island, College of Pharmacy, Department of Pharmacy Practice, Kingston, RI, USA.
  • Trikalinos NA; Division of Oncology, Department of Medicine, Washington University Medical School Campus, St. Louis, MO, USA; Siteman Cancer Center, St. Louis, MO, USA.
  • Liu MA; Columbia University Medical Center, Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
  • Bélanger E; Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
  • Olszewski AJ; Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
  • Bantis LE; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Panagiotou OA; Center for Gerontology and Healthcare Research, Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
J Geriatr Oncol ; 15(5): 101774, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38676975
ABSTRACT

INTRODUCTION:

High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer. MATERIALS AND

METHODS:

Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death.

RESULTS:

Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]1.29; 95% confidence interval [CI]1.28-1.30), female sex (OR1.05; 95% CI1.01-1.09), Black race (OR1.14; 95% CI1.07-1.23), Other race/ethnicity (OR1.20; 95% CI1.10-1.30), stage III disease (OR1.11; 95% CI1.05-1.18), living in a county with >1,000,000 people (OR1.23; 95% CI1.16-1.31), living in a census tract with 10%-<20% poverty (OR1.09; 95% CI1.03-1.16) or 20%-100% poverty (OR1.12; 95% CI1.04-1.19), and having state-subsidized Medicare premiums (OR1.18; 95% CI1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR0.98; 95% CI0.98-0.99), lived in the Midwest (OR0.69; 95% CI0.65-0.75), South (OR0.70; 95% CI0.65-0.74), or West (OR0.81; 95% CI0.77-0.86), lived in mostly rural areas (OR0.92; 95% CI0.86-1.00), and had poor performance status (OR0.26; 95% CI0.25-0.28). Results were largely consistent across cancer types.

DISCUSSION:

The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Assistência Terminal / Medicare / Programa de SEER / Neoplasias Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: J Geriatr Oncol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Assistência Terminal / Medicare / Programa de SEER / Neoplasias Limite: Aged / Aged80 / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: J Geriatr Oncol Ano de publicação: 2024 Tipo de documento: Article