Trends in use of intensive care during hospitalizations at the end‐of‐life among older adults with advanced cancer

Author:

Jain Snigdha1ORCID,Long Jessica B.12,Rao Vinay1,Law Anica C.3,Walkey Allan J.4,Prsic Elizabeth1,Lindenauer Peter K.5,Krumholz Harlan M.16,Gross Cary P.12

Affiliation:

1. Department of Internal Medicine Yale School of Medicine New Haven Connecticut USA

2. Cancer Outcomes, Public Policy and Effectiveness Research Center Yale School of Medicine New Haven Connecticut USA

3. The Pulmonary Center, Department of Medicine Boston University School of Medicine Boston Massachusetts USA

4. Division of Health Systems Science University of Massachusetts Chan Medical School Worcester Massachusetts USA

5. Institute for Healthcare Delivery & Population Sciences University of Massachusetts Chan Medical School‐Baystate Springfield Massachusetts USA

6. Center for Outcomes Research and Evaluation Yale School of Medicine New Haven Connecticut USA

Abstract

AbstractBackgroundHigh‐intensity end‐of‐life (EOL) care, marked by admission to intensive care units (ICUs) or in‐hospital death, can be costly and burdensome. Recent trends in use of ICUs, life‐sustaining treatments (LSTs), and noninvasive ventilation (NIV) during EOL hospitalizations among older adults with advanced cancer and patterns of in‐hospital death are unknown.MethodsWe used SEER‐Medicare data (2003–2017) to identify beneficiaries with advanced solid cancer (summary stage 7) who died within 3 years of diagnosis. We identified EOL hospitalizations (within 30 days of death), classifying them by increasing intensity of care into: (1) without ICU; (2) with ICU but without LST (invasive mechanical ventilation, tracheostomy, gastrostomy, acute dialysis) or NIV; (3) with ICU and NIV but without LST; and (4) with ICU and LST use. We constructed a multinomial regression model to evaluate trends in risk‐adjusted hospitalization, overall and across hospitalization categories, adjusting for sociodemographics, cancer characteristics, comorbidities, and frailty. We evaluated trends in in‐hospital death across categories.ResultsOf 226,263 Medicare beneficiaries with advanced cancer, 138,305 (61.1%) were hospitalized at EOL [Age, Mean (SD):77.9(7.1) years; 45.5% female]. Overall, EOL hospitalizations remained high throughout, from 78.1% (95% CI: 77.4, 78.7) in 2004 to 75.5% (95% CI: 74.5, 76.2) in 2017. Hospitalizations without ICU use decreased from 49.3% (95% CI: 48.5, 50.2) to 35.0% (95% CI: 34.2, 35.9) while hospitalizations with more intensive care increased, from 23.7% (95% CI: 23.0, 24.4) to 28.7% (95% CI: 27.9, 29.5) for ICU without LST or NIV, 0.8% (95% CI: 0.6, 0.9) to 3.8% (95% CI: 3.4, 4.1) for ICU with NIV but without LST, and 4.3% (95% CI: 4.0, 4.7) to 8.0% (95% CI: 7.5, 8.5) for ICU with LST use. Among those who experienced in‐hospital death, the proportion receiving ICU care increased from 46.5% to 65.0%.ConclusionsAmong older adults with advanced cancer, EOL hospitalization rates remained stable from 2004–2017. However, intensity of care during EOL hospitalizations increased as evidenced by increasing use of ICUs, LSTs, and NIV.

Funder

National Institute on Aging

National Heart, Lung, and Blood Institute

National Institutes of Health

Doris Duke Charitable Foundation

National Comprehensive Cancer Network Foundation

Johnson and Johnson

Publisher

Wiley

Reference41 articles.

1. Family Perspectives on End-of-Life Care at the Last Place of Care

2. Perspectives, Preferences, Care Practices, and Outcomes Among Older and Middle-Aged Patients With Late-Stage Cancer

3. Associations Between End-of-Life Discussions, Patient Mental Health, Medical Care Near Death, and Caregiver Bereavement Adjustment

4. Quality ID #455 (NQF 0213): Percentage of Patients Who Died from Cancer Admitted to the Intensive Care Unit (ICU) in the Last 30 Days of Life (lower score – better) Accessed December 6 2023. Quality ID #455 (NQF 0213): Percentage of Patients Who Died from Cancer Admitted to the Intensive Care Unit (ICU) in the Last 30 Days of Life (lower score – better).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3