Assessing the Environmental and Downstream Human Health Impacts of Decentralizing Cancer Care.

IF 28.4 1区 医学 Q1 Biochemistry, Genetics and Molecular Biology
Andrew Hantel, Colin Cernik, Thomas P Walsh, Hajime Uno, Dalia Larios, Jonathan E Slutzman, Gregory A Abel
{"title":"Assessing the Environmental and Downstream Human Health Impacts of Decentralizing Cancer Care.","authors":"Andrew Hantel, Colin Cernik, Thomas P Walsh, Hajime Uno, Dalia Larios, Jonathan E Slutzman, Gregory A Abel","doi":"10.1001/jamaoncol.2024.2744","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>Greenhouse gas (GHG) emissions from health care are substantial and disproportionately harm persons with cancer. Emissions from a central component of oncology care, outpatient clinician visits, are not well described, nor are the reductions in emissions and human harms that could be obtained through decentralizing this aspect of cancer care (ie, telemedicine and local clinician care when possible).</p><p><strong>Objective: </strong>To assess potential reductions in GHG emissions and downstream health harms associated with telemedicine and fully decentralized cancer care.</p><p><strong>Design, setting, and participants: </strong>This population-based cohort study and counterfactual analyses using life cycle assessment methods analyzed persons receiving cancer care at Dana-Farber Cancer Institute between May 2015 and December 2020 as well as persons diagnosed with cancer over the same period from the Cancer in North America (CiNA) public dataset. Data were analyzed from October 2023 to April 2024.</p><p><strong>Main outcomes and measures: </strong>The adjusted per-visit day difference in GHG emissions in kilograms of carbon dioxide (CO2) equivalents between 2 periods: an in-person care model period (May 2015 to February 2020; preperiod) and a telemedicine period (March to December 2020; postperiod), and the annual decrease in disability-adjusted life-years in a counterfactual model where care during the preperiod was maximally decentralized nationwide.</p><p><strong>Results: </strong>Of 123 890 included patients, 73 988 (59.7%) were female, and the median (IQR) age at first diagnosis was 59 (48-68) years. Patients were seen over 1.6 million visit days. In mixed-effects log-linear regression, the mean absolute reduction in per-visit day CO2 equivalent emissions between the preperiod and postperiod was 36.4 kg (95% CI, 36.2-36.6), a reduction of 81.3% (95% CI, 80.8-81.7) compared with the baseline model. In a counterfactual decentralized care model of the preperiod, there was a relative emissions reduction of 33.1% (95% CI, 32.9-33.3). When demographically matched to 10.3 million persons in the CiNA dataset, decentralized care would have reduced national emissions by 75.3 million kg of CO2 equivalents annually; this corresponded to an estimated annual reduction of 15.0 to 47.7 disability-adjusted life-years.</p><p><strong>Conclusions and relevance: </strong>This cohort study found that using decentralization through telemedicine and local care may substantially reduce cancer care's GHG emissions; this corresponds to small reductions in human mortality.</p>","PeriodicalId":48661,"journal":{"name":"Jama Oncology","volume":null,"pages":null},"PeriodicalIF":28.4000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148788/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jama Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamaoncol.2024.2744","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

Importance: Greenhouse gas (GHG) emissions from health care are substantial and disproportionately harm persons with cancer. Emissions from a central component of oncology care, outpatient clinician visits, are not well described, nor are the reductions in emissions and human harms that could be obtained through decentralizing this aspect of cancer care (ie, telemedicine and local clinician care when possible).

Objective: To assess potential reductions in GHG emissions and downstream health harms associated with telemedicine and fully decentralized cancer care.

Design, setting, and participants: This population-based cohort study and counterfactual analyses using life cycle assessment methods analyzed persons receiving cancer care at Dana-Farber Cancer Institute between May 2015 and December 2020 as well as persons diagnosed with cancer over the same period from the Cancer in North America (CiNA) public dataset. Data were analyzed from October 2023 to April 2024.

Main outcomes and measures: The adjusted per-visit day difference in GHG emissions in kilograms of carbon dioxide (CO2) equivalents between 2 periods: an in-person care model period (May 2015 to February 2020; preperiod) and a telemedicine period (March to December 2020; postperiod), and the annual decrease in disability-adjusted life-years in a counterfactual model where care during the preperiod was maximally decentralized nationwide.

Results: Of 123 890 included patients, 73 988 (59.7%) were female, and the median (IQR) age at first diagnosis was 59 (48-68) years. Patients were seen over 1.6 million visit days. In mixed-effects log-linear regression, the mean absolute reduction in per-visit day CO2 equivalent emissions between the preperiod and postperiod was 36.4 kg (95% CI, 36.2-36.6), a reduction of 81.3% (95% CI, 80.8-81.7) compared with the baseline model. In a counterfactual decentralized care model of the preperiod, there was a relative emissions reduction of 33.1% (95% CI, 32.9-33.3). When demographically matched to 10.3 million persons in the CiNA dataset, decentralized care would have reduced national emissions by 75.3 million kg of CO2 equivalents annually; this corresponded to an estimated annual reduction of 15.0 to 47.7 disability-adjusted life-years.

Conclusions and relevance: This cohort study found that using decentralization through telemedicine and local care may substantially reduce cancer care's GHG emissions; this corresponds to small reductions in human mortality.

评估癌症治疗分散化对环境和下游人类健康的影响。
重要性:医疗保健产生的温室气体(GHG)排放量巨大,对癌症患者的伤害尤为严重。对肿瘤治疗的核心部分--门诊病人就诊--所产生的排放没有很好的描述,也没有很好地描述通过分散肿瘤治疗的这一环节(即在可能的情况下采用远程医疗和本地临床医生治疗)所能减少的排放和对人体的伤害:评估与远程医疗和完全分散的癌症治疗相关的温室气体排放和下游健康危害的潜在减少量:这项基于人群的队列研究和使用生命周期评估方法进行的反事实分析分析了 2015 年 5 月至 2020 年 12 月期间在丹娜-法伯癌症研究所接受癌症治疗的患者,以及同期从北美癌症(CiNA)公共数据集中诊断出的癌症患者。数据分析时间为2023年10月至2024年4月:调整后的每次就诊日温室气体排放量(以千克二氧化碳(CO2)当量为单位)在两个时期之间的差异:亲诊模式时期(2015年5月至2020年2月;前期)和远程医疗时期(2020年3月至12月;后期),以及在一个反事实模型中残疾调整寿命年数的年减少量,在该模型中,前期的医疗服务在全国范围内最大程度地分散:在纳入的 123 890 名患者中,73 988 名(59.7%)为女性,初诊年龄的中位数(IQR)为 59(48-68)岁。患者就诊天数超过 160 万天。在混合效应对数线性回归中,前后期每次就诊日二氧化碳当量排放量的平均绝对值减少了 36.4 千克(95% CI,36.2-36.6),与基线模型相比减少了 81.3%(95% CI,80.8-81.7)。在前期的反事实分散护理模式中,相对排放量减少了 33.1%(95% CI,32.9-33.3)。如果与 CiNA 数据集中的 1030 万人进行人口统计匹配,分散护理每年可使全国排放量减少 7530 万千克二氧化碳当量;这相当于估计每年减少 15.0 至 47.7 个残疾调整生命年:这项队列研究发现,通过远程医疗和地方医疗分散化治疗可大幅减少癌症治疗的温室气体排放;这与人类死亡率的小幅下降相对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Jama Oncology
Jama Oncology Medicine-Oncology
CiteScore
37.50
自引率
1.80%
发文量
423
期刊介绍: At JAMA Oncology, our primary goal is to contribute to the advancement of oncology research and enhance patient care. As a leading journal in the field, we strive to publish influential original research, opinions, and reviews that push the boundaries of oncology science. Our mission is to serve as the definitive resource for scientists, clinicians, and trainees in oncology globally. Through our innovative and timely scientific and educational content, we aim to provide a comprehensive understanding of cancer pathogenesis and the latest treatment advancements to our readers. We are dedicated to effectively disseminating the findings of significant clinical research, major scientific breakthroughs, actionable discoveries, and state-of-the-art treatment pathways to the oncology community. Our ultimate objective is to facilitate the translation of new knowledge into tangible clinical benefits for individuals living with and surviving cancer.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信