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本文引用的文献

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Minimally Disruptive Medicine: A Pragmatically Comprehensive Model for Delivering Care to Patients with Multiple Chronic Conditions.微创医学:为患有多种慢性病的患者提供护理的实用综合模型。
Healthcare (Basel). 2015 Jan 29;3(1):50-63. doi: 10.3390/healthcare3010050.
2
Pursuing minimally disruptive medicine: disruption from illness and health care-related demands is correlated with patient capacity.追求微创医学:疾病和医疗相关需求造成的干扰与患者能力相关。
J Clin Epidemiol. 2016 Jun;74:227-36. doi: 10.1016/j.jclinepi.2016.01.006. Epub 2016 Jan 11.
3
Financial Toxicity of Cancer Care: It's Time to Intervene.癌症治疗的财务毒性:是时候采取行动了。
J Natl Cancer Inst. 2015 Dec 11;108(5). doi: 10.1093/jnci/djv370. Print 2016 May.
4
Minimally disruptive medicine: the evidence and conceptual progress supporting a new era of healthcare.微创医学:支持医疗新时代的证据与概念进展
J R Coll Physicians Edinb. 2015;45(2):114-7. doi: 10.4997/JRCPE.2015.205.
5
Taxonomy of the burden of treatment: a multi-country web-based qualitative study of patients with chronic conditions.治疗负担的分类:一项针对慢性病患者的多国网络定性研究。
BMC Med. 2015 May 14;13:115. doi: 10.1186/s12916-015-0356-x.
6
Adaptation and validation of the Treatment Burden Questionnaire (TBQ) in English using an internet platform.使用互联网平台对英文版本的治疗负担问卷(TBQ)进行改编与验证。
BMC Med. 2014 Jul 2;12:109. doi: 10.1186/1741-7015-12-109.
7
Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness.重新审视患者:运用治疗负担理论理解疾病动态的变化
BMC Health Serv Res. 2014 Jun 26;14:281. doi: 10.1186/1472-6963-14-281.
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Health Serv Res. 2014 Feb;49(1 Pt 2):325-46. doi: 10.1111/1475-6773.12134. Epub 2013 Dec 21.
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Defining a comprehensive verotype using electronic health records for personalized medicine.利用电子健康记录为个性化医疗定义全面的综合基因型。
J Am Med Inform Assoc. 2013 Dec;20(e2):e232-8. doi: 10.1136/amiajnl-2013-001932. Epub 2013 Sep 3.
10
Quality of life in women with localised breast cancer or malignant melanoma 2 years after initial treatment: a comparison.局部乳腺癌或恶性黑色素瘤女性患者初始治疗后 2 年的生活质量:比较。
Int J Behav Med. 2014 Jun;21(3):478-86. doi: 10.1007/s12529-013-9334-x.

基于数据驱动的治疗负担测量方法:一项乳腺癌患者研究

Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer.

作者信息

Cheng Alex C, Levy Mia A

机构信息

Vanderbilt University, Nashville, TN.

出版信息

AMIA Annu Symp Proc. 2017 Feb 10;2016:1756-1763. eCollection 2016.

PMID:28269934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5333259/
Abstract

Chronic disease affects patient quality of life through symptoms of the disease and the work of receiving treatment. While the effects of illness are well investigated, the burden of treatment is not commonly studied or monitored. We developed a method to quantify one dimension of the burden of treatment based on patient encounters with the healthcare system. We applied this method to a population of stage I-III breast cancer patients. As hypothesized and observed, stage IIIpatients had more appointments, spent more time in clinic, and spent more time admitted to the hospital in the first 18 months after diagnosis compared to stage I and II patients. Future work will evaluate the reproducibility and generalizability of this method for quantifying burden of treatment across other clinical settings and chronic diseases. This approach could enable identification of high-risk groups that could benefit from interventions to decrease patient work and improve outcomes.

摘要

慢性病通过疾病症状和接受治疗的过程影响患者的生活质量。虽然疾病的影响已得到充分研究,但治疗负担却鲜少被研究或监测。我们开发了一种基于患者与医疗系统接触情况来量化治疗负担一个维度的方法。我们将此方法应用于I - III期乳腺癌患者群体。正如假设和观察到的那样,与I期和II期患者相比,III期患者在诊断后的前18个月有更多的预约、在诊所花费更多时间以及住院时间更长。未来的工作将评估该方法在其他临床环境和慢性病中量化治疗负担的可重复性和普遍性。这种方法能够识别出可能从减少患者负担并改善治疗效果的干预措施中受益的高危群体。