4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers

OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATI...
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Autor*in:	Anita J Kumar [verfasserIn] Rachel Murphy-Banks [verfasserIn] John B Wong [verfasserIn] Susan K Parsons [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Übergeordnetes Werk:	In: Journal of Clinical and Translational Science - Cambridge University Press, 2019, 4(2020), Seite 151-151
Übergeordnetes Werk:	volume:4 ; year:2020 ; pages:151-151

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1017/cts.2020.444

Katalog-ID:	DOAJ088047628

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allfields	10.1017/cts.2020.444 doi (DE-627)DOAJ088047628 (DE-599)DOAJd768a2d0079f4c35948630fe0409255c DE-627 ger DE-627 rakwb eng Anita J Kumar verfasserin aut 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions. Medicine R Rachel Murphy-Banks verfasserin aut John B Wong verfasserin aut Susan K Parsons verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 4(2020), Seite 151-151 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:4 year:2020 pages:151-151 https://doi.org/10.1017/cts.2020.444 kostenfrei https://doaj.org/article/d768a2d0079f4c35948630fe0409255c kostenfrei https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2924 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2020 151-151
spelling	10.1017/cts.2020.444 doi (DE-627)DOAJ088047628 (DE-599)DOAJd768a2d0079f4c35948630fe0409255c DE-627 ger DE-627 rakwb eng Anita J Kumar verfasserin aut 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions. Medicine R Rachel Murphy-Banks verfasserin aut John B Wong verfasserin aut Susan K Parsons verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 4(2020), Seite 151-151 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:4 year:2020 pages:151-151 https://doi.org/10.1017/cts.2020.444 kostenfrei https://doaj.org/article/d768a2d0079f4c35948630fe0409255c kostenfrei https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2924 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2020 151-151
allfields_unstemmed	10.1017/cts.2020.444 doi (DE-627)DOAJ088047628 (DE-599)DOAJd768a2d0079f4c35948630fe0409255c DE-627 ger DE-627 rakwb eng Anita J Kumar verfasserin aut 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions. Medicine R Rachel Murphy-Banks verfasserin aut John B Wong verfasserin aut Susan K Parsons verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 4(2020), Seite 151-151 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:4 year:2020 pages:151-151 https://doi.org/10.1017/cts.2020.444 kostenfrei https://doaj.org/article/d768a2d0079f4c35948630fe0409255c kostenfrei https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2924 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2020 151-151
allfieldsGer	10.1017/cts.2020.444 doi (DE-627)DOAJ088047628 (DE-599)DOAJd768a2d0079f4c35948630fe0409255c DE-627 ger DE-627 rakwb eng Anita J Kumar verfasserin aut 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions. Medicine R Rachel Murphy-Banks verfasserin aut John B Wong verfasserin aut Susan K Parsons verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 4(2020), Seite 151-151 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:4 year:2020 pages:151-151 https://doi.org/10.1017/cts.2020.444 kostenfrei https://doaj.org/article/d768a2d0079f4c35948630fe0409255c kostenfrei https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2924 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2020 151-151
allfieldsSound	10.1017/cts.2020.444 doi (DE-627)DOAJ088047628 (DE-599)DOAJd768a2d0079f4c35948630fe0409255c DE-627 ger DE-627 rakwb eng Anita J Kumar verfasserin aut 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions. Medicine R Rachel Murphy-Banks verfasserin aut John B Wong verfasserin aut Susan K Parsons verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 4(2020), Seite 151-151 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:4 year:2020 pages:151-151 https://doi.org/10.1017/cts.2020.444 kostenfrei https://doaj.org/article/d768a2d0079f4c35948630fe0409255c kostenfrei https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2924 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2020 151-151
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METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). 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author	Anita J Kumar
spellingShingle	Anita J Kumar misc Medicine misc R 4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
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topic_title	4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
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title	4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
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title_full	4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
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author_browse	Anita J Kumar Rachel Murphy-Banks John B Wong Susan K Parsons
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title_sort	4129 understanding treatment preferences for hodgkin lymphoma (hl) among physicians, patients and caregivers
title_auth	4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
abstract	OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions.
abstractGer	OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions.
abstract_unstemmed	OBJECTIVES/GOALS: Although their 5-year survival <90%, young patients with HL face tradeoffs between near-term disease control and risk of treatment-related adverse effects decades later, so we seek to understand what patients and clinicians value in HL treatment decisions. METHODS/STUDY POPULATION: Leveraging our access to large cohorts of physicians, HL patients/survivors, and caregivers, we will use adaptive choice-based conjoint analysis (ACBC) to elicit treatment preferences when offered scenarios that incorporate tradeoffs, e.g., would a patient rather live 20 years with 10% risk of second malignancy or live 40 years with 30% of second malignancy. To reduce survey fatigue, prior choice responses limit subsequent scenarios. Through ACBC, we will identify variations in preferences and the importance of disease outcomes, treatment characteristics, and late effects for HL by respondent type. RESULTS/ANTICIPATED RESULTS: The goal is a final sample of 200 physicians and 200 patients/caregivers. We will collect demographics from physicians (age, type of physician, years practicing, type of practice, gender, and geography) and patients/caregivers (age at diagnosis, time since treatment, race, gender, smoker, education). We will ask questions about values of disease outcomes, late effects (second cancers, cardiac disease, chronic fatigue and neuropathy), and treatment characteristics (uncertainty of late effects, salvageability). Results will include utilities about participants views on disease-control and late effects. We anticipate participants to value disease control over late effects. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study will elicit how physicians and patients/caregivers value treatment tradeoffs for HL. In an era of multiple treatment choices with varying short- and long-term benefits and harms, identifying values and preferences become critical for patient-centered treatment decisions.
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title_short	4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers
url	https://doi.org/10.1017/cts.2020.444 https://doaj.org/article/d768a2d0079f4c35948630fe0409255c https://www.cambridge.org/core/product/identifier/S2059866120004446/type/journal_article https://doaj.org/toc/2059-8661
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up_date	2024-07-03T15:30:06.014Z
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4129 Understanding Treatment Preferences for Hodgkin Lymphoma (HL) among Physicians, Patients and Caregivers

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