{"title":"OT2-10-01:乳腺癌患者的治疗负担和护理管理能力","authors":"A. Cheng, M. Levy","doi":"10.1158/1538-7445.SABCS18-OT2-10-01","DOIUrl":null,"url":null,"abstract":"Patients with breast cancer spend significant time1, effort, and financial resources2 to combat the disease for years after their diagnosis. The large volume of healthcare tasks can cause patients to become overburdened, leading to reduced adherence with care plans and worse outcomes3. On the other hand, certain patient characteristics such as physical resilience, financial well-being, and supportive family environments increase patients9 capacity to manage care4. Assessing treatment burden and capacity when prescribing care has been applied to populations such as diabetes patients5. We are investigating this paradigm in treatment of patients with breast cancer. The goal of this preliminary study is to identify significant factors that contribute to treatment burden, capacity to manage care, and outcomes of overburden for patients with breast cancer. Through literature review, interviews with survivors, and expert panels of navigators and providers, we will develop a survey instrument given to patients at the time of diagnosis. The survey will assess patient capacity and help providers give treatment options based on attributes of the patient. Additionally, we will attempt to correlate survey results with treatment burden measures derived from electronic health record data at a population level1. With treatment personalized for patient capacity, patients should be better able to adhere to care plans leading to improved quality of life during treatment and beyond. Acknowledgements: The authors would like to thank Cheryl Jernigan, our patient advocate mentor, for her guidance in this project. We would also like to thank the Susan G. Komen Foundation for their support of this research. References: 1. Cheng, A. C. & Levy, M. A. Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer. AMIA Annu. Symp. proceedings. AMIA Symp.2016, 1756–1763 (2016). 2. Zafar, S. Y. et al. The financial toxicity of cancer treatment: a pilot study assessing out-of-pocket expenses and the insured cancer patient9s experience. Oncologist.18, 381–90 (2013). 3. Mair, F. S. & May, C. R. Thinking about the burden of treatment. BMJ.349, g6680–g6680 (2014). 4. Boehmer, K. R., Shippee, N. D., Beebe, T. J. & Montori, V. M. Pursuing Minimally Disruptive Medicine: Correlation of patient capacity with disruption from illness and healthcare-related demands. J. Clin. Epidemiol. (2016). 5. Ishii, H. et al. Reproducibility and Validity of a Questionnaire Measuring Treatment Burden on Patients with Type 2 Diabetes: Diabetic Treatment Burden Questionnaire (DTBQ). Diabetes Ther.9, 1001–1019 (2018). Citation Format: Cheng A, Levy M. Treatment burden and capacity to manage care among patients with breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr OT2-10-01.","PeriodicalId":19476,"journal":{"name":"Ongoing Clinical Trials","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abstract OT2-10-01: Treatment burden and capacity to manage care among patients with breast cancer\",\"authors\":\"A. Cheng, M. Levy\",\"doi\":\"10.1158/1538-7445.SABCS18-OT2-10-01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Patients with breast cancer spend significant time1, effort, and financial resources2 to combat the disease for years after their diagnosis. The large volume of healthcare tasks can cause patients to become overburdened, leading to reduced adherence with care plans and worse outcomes3. On the other hand, certain patient characteristics such as physical resilience, financial well-being, and supportive family environments increase patients9 capacity to manage care4. Assessing treatment burden and capacity when prescribing care has been applied to populations such as diabetes patients5. We are investigating this paradigm in treatment of patients with breast cancer. The goal of this preliminary study is to identify significant factors that contribute to treatment burden, capacity to manage care, and outcomes of overburden for patients with breast cancer. Through literature review, interviews with survivors, and expert panels of navigators and providers, we will develop a survey instrument given to patients at the time of diagnosis. The survey will assess patient capacity and help providers give treatment options based on attributes of the patient. Additionally, we will attempt to correlate survey results with treatment burden measures derived from electronic health record data at a population level1. With treatment personalized for patient capacity, patients should be better able to adhere to care plans leading to improved quality of life during treatment and beyond. Acknowledgements: The authors would like to thank Cheryl Jernigan, our patient advocate mentor, for her guidance in this project. We would also like to thank the Susan G. Komen Foundation for their support of this research. References: 1. Cheng, A. C. & Levy, M. A. Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer. AMIA Annu. Symp. proceedings. AMIA Symp.2016, 1756–1763 (2016). 2. Zafar, S. Y. et al. The financial toxicity of cancer treatment: a pilot study assessing out-of-pocket expenses and the insured cancer patient9s experience. Oncologist.18, 381–90 (2013). 3. Mair, F. S. & May, C. R. Thinking about the burden of treatment. BMJ.349, g6680–g6680 (2014). 4. Boehmer, K. R., Shippee, N. D., Beebe, T. J. & Montori, V. M. Pursuing Minimally Disruptive Medicine: Correlation of patient capacity with disruption from illness and healthcare-related demands. J. Clin. Epidemiol. (2016). 5. Ishii, H. et al. Reproducibility and Validity of a Questionnaire Measuring Treatment Burden on Patients with Type 2 Diabetes: Diabetic Treatment Burden Questionnaire (DTBQ). Diabetes Ther.9, 1001–1019 (2018). Citation Format: Cheng A, Levy M. Treatment burden and capacity to manage care among patients with breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. 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引用次数: 0
摘要
乳腺癌患者在确诊后的数年里都要花费大量的时间、精力和财力与疾病作斗争。大量的医疗保健任务可能导致患者负担过重,从而降低对护理计划的依从性,并导致更糟糕的结果。另一方面,病人的某些特征,如身体恢复能力、经济状况良好和支持性的家庭环境,提高了病人管理护理的能力。在对糖尿病患者等人群实施处方护理时,评估治疗负担和能力5。我们正在研究这种治疗乳腺癌患者的模式。本初步研究的目的是确定影响乳腺癌患者治疗负担、护理管理能力和过度负担结果的重要因素。通过文献回顾,与幸存者的访谈,以及由导航员和提供者组成的专家小组,我们将开发一种在诊断时给予患者的调查工具。该调查将评估患者的能力,并帮助提供者根据患者的属性提供治疗方案。此外,我们将尝试将调查结果与从人口水平的电子健康记录数据中得出的治疗负担措施相关联1。根据患者的能力进行个性化治疗,患者应该能够更好地坚持护理计划,从而提高治疗期间和治疗后的生活质量。致谢:作者要感谢我们的患者倡导者导师Cheryl Jernigan在这个项目中的指导。我们还要感谢Susan G. Komen基金会对这项研究的支持。引用:1。程,A. C.和Levy, M. A.数据驱动的治疗负担测量方法:乳腺癌患者的研究。AMIA物质。计算机协会。程序。中国生物医学工程学报,2016,37(5):559 - 563。2. Zafar, s.y.等。癌症治疗的经济毒性:一项评估自费费用和投保癌症患者经历的试点研究。肿瘤杂志,18,381-90(2013)。3.梅尔,F. S.和梅,C. R.对治疗负担的思考。[j] .中国医学杂志,2014,(5):444 - 444。4. Boehmer, K. R, Shippee, N. D, Beebe, T. J.和Montori, V. M.追求最小破坏性医学:患者能力与疾病和医疗保健相关需求中断的相关性。j .中国。论文。(2016)。5. Ishii, H.等。测量2型糖尿病患者治疗负担问卷的可重复性和有效性:糖尿病治疗负担问卷(DTBQ)。中国糖尿病杂志,2018,31(5):444 - 444。引用格式:Cheng A, Levy M.乳腺癌患者的治疗负担和护理管理能力[摘要]。2018年圣安东尼奥乳腺癌研讨会论文集;2018年12月4-8日;费城(PA): AACR;癌症杂志,2019;79(4增刊):OT2-10-01。
Abstract OT2-10-01: Treatment burden and capacity to manage care among patients with breast cancer
Patients with breast cancer spend significant time1, effort, and financial resources2 to combat the disease for years after their diagnosis. The large volume of healthcare tasks can cause patients to become overburdened, leading to reduced adherence with care plans and worse outcomes3. On the other hand, certain patient characteristics such as physical resilience, financial well-being, and supportive family environments increase patients9 capacity to manage care4. Assessing treatment burden and capacity when prescribing care has been applied to populations such as diabetes patients5. We are investigating this paradigm in treatment of patients with breast cancer. The goal of this preliminary study is to identify significant factors that contribute to treatment burden, capacity to manage care, and outcomes of overburden for patients with breast cancer. Through literature review, interviews with survivors, and expert panels of navigators and providers, we will develop a survey instrument given to patients at the time of diagnosis. The survey will assess patient capacity and help providers give treatment options based on attributes of the patient. Additionally, we will attempt to correlate survey results with treatment burden measures derived from electronic health record data at a population level1. With treatment personalized for patient capacity, patients should be better able to adhere to care plans leading to improved quality of life during treatment and beyond. Acknowledgements: The authors would like to thank Cheryl Jernigan, our patient advocate mentor, for her guidance in this project. We would also like to thank the Susan G. Komen Foundation for their support of this research. References: 1. Cheng, A. C. & Levy, M. A. Data Driven Approach to Burden of Treatment Measurement: A Study of Patients with Breast Cancer. AMIA Annu. Symp. proceedings. AMIA Symp.2016, 1756–1763 (2016). 2. Zafar, S. Y. et al. The financial toxicity of cancer treatment: a pilot study assessing out-of-pocket expenses and the insured cancer patient9s experience. Oncologist.18, 381–90 (2013). 3. Mair, F. S. & May, C. R. Thinking about the burden of treatment. BMJ.349, g6680–g6680 (2014). 4. Boehmer, K. R., Shippee, N. D., Beebe, T. J. & Montori, V. M. Pursuing Minimally Disruptive Medicine: Correlation of patient capacity with disruption from illness and healthcare-related demands. J. Clin. Epidemiol. (2016). 5. Ishii, H. et al. Reproducibility and Validity of a Questionnaire Measuring Treatment Burden on Patients with Type 2 Diabetes: Diabetic Treatment Burden Questionnaire (DTBQ). Diabetes Ther.9, 1001–1019 (2018). Citation Format: Cheng A, Levy M. Treatment burden and capacity to manage care among patients with breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr OT2-10-01.