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临床医生与患者关于癌症治疗错误信息的沟通:错误信息应对模型。

Clinician-patient communication about cancer treatment misinformation: The Misinformation Response Model.

作者信息

Mullis M Devyn, Fisher Carla L, Johnson Skyler B, Liu Tianshi, Amin Tithi B, Rogers Sherise, DeGruccio Kennan, Bylund Carma L

机构信息

Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL 32610, United States of America.

Department of Radiation Oncology, School of Medicine, University of Utah, 30 N 19000 E, Salt Lake City, UT 84132, United States of America.

出版信息

PEC Innov. 2024 Jul 6;5:100319. doi: 10.1016/j.pecinn.2024.100319. eCollection 2024 Dec 15.

DOI:10.1016/j.pecinn.2024.100319
PMID:39101055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11296260/
Abstract

OBJECTIVE

Cancer treatment misinformation (CTM) is pervasive and impacts patient health outcomes. Cancer clinicians play an essential role in addressing CTM. We previously identified four self-reported responses that characterize the communication process clinicians engage in to address CTM. Clinicians 1) work to understand the misinformation; 2) correct the misinformation through education; 3) advise about future online searches; and 4) preserve the clinician-patient relationship. We sought to confirm and expand on the model we developed by observing cancer clinicians' communication while addressing CTM with a standardized patient (SP).

METHODS

17 cancer clinicians were audio recorded in a SP encounter, in which a breast cancer SP asked three questions based on CTM. We thematically analyzed transcriptions of the recordings.

RESULTS

Clinicians used four responses with associated strategies and skills to address CTM in a standardized clinical encounter, confirming the previously developed model. The four responses were: (1) work to understand the misinformation; (2) correct the misinformation through education; (3) advise about future online searches; and (4) preserve the clinician-patient relationship. This observational approach allowed us to refine strategies within each response and identify communication skills clinicians enact to address CTM.

CONCLUSION

These findings provide a strong foundation for the Misinformation Response Model for cancer clinicians. Future research should examine which components of the model are most effective in improving patient outcomes.

INNOVATION

This is the first study observing clinicians' communication through simulated practice with SPs about CTM.

摘要

目的

癌症治疗错误信息(CTM)普遍存在并影响患者的健康结局。癌症临床医生在应对CTM方面发挥着至关重要的作用。我们之前确定了四种自我报告的反应,这些反应描述了临床医生在应对CTM时所参与的沟通流程。临床医生:1)努力理解错误信息;2)通过教育纠正错误信息;3)就未来的在线搜索提供建议;4)维护医患关系。我们试图通过观察癌症临床医生与标准化患者(SP)交流应对CTM时的沟通情况,来确认并扩展我们所建立的模型。

方法

17名癌症临床医生在与一名SP的交流过程中被录音,在该过程中,一名乳腺癌SP基于CTM提出了三个问题。我们对录音的文字记录进行了主题分析。

结果

临床医生在标准化临床交流中使用了四种反应及相关策略和技巧来应对CTM,证实了之前建立的模型。这四种反应分别是:(1)努力理解错误信息;(2)通过教育纠正错误信息;(3)就未来的在线搜索提供建议;(4)维护医患关系。这种观察方法使我们能够完善每种反应中的策略,并确定临床医生为应对CTM所采用的沟通技巧。

结论

这些发现为癌症临床医生的错误信息应对模型提供了坚实的基础。未来的研究应考察该模型的哪些组成部分在改善患者结局方面最有效。

创新点

这是第一项通过与SP进行模拟实践观察临床医生关于CTM沟通情况的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/3fb131058d36/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/9ea4b9ec0335/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/371a9a100e8d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/3fb131058d36/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/9ea4b9ec0335/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/371a9a100e8d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/309e/11296260/3fb131058d36/gr3.jpg

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本文引用的文献

1
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information.利用 ChatGPT 评估癌症谣言和误解:人工智能与癌症信息。
JNCI Cancer Spectr. 2023 Mar 1;7(2). doi: 10.1093/jncics/pkad015.
2
Identifying Cancer Treatment Misinformation and Strategies to Mitigate Its Effects With Improved Radiation Oncologist-Patient Communication.识别癌症治疗错误信息及改善放射肿瘤学家-患者沟通以减轻其影响的策略。
Pract Radiat Oncol. 2023 Jul-Aug;13(4):282-285. doi: 10.1016/j.prro.2023.01.007. Epub 2023 Feb 2.
3
Clinician Communication With Patients About Cancer Misinformation: A Qualitative Study.
临床医生与患者就癌症错误信息的沟通:一项定性研究。
JCO Oncol Pract. 2023 Mar;19(3):e389-e396. doi: 10.1200/OP.22.00526. Epub 2023 Jan 10.
4
A Pilot Test of a Workshop for Pediatric Clinicians About Communicating with Parents About the HPV Vaccine Using the C-LEAR Approach.HPV 疫苗沟通:CLEAR 方法在儿科临床医生中的应用试点工作坊
J Cancer Educ. 2023 Jun;38(3):798-804. doi: 10.1007/s13187-022-02188-2. Epub 2022 Aug 9.
5
Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report.Facebook 及其他社交媒体上的癌症错误信息和有害信息:简要报告。
J Natl Cancer Inst. 2022 Jul 11;114(7):1036-1039. doi: 10.1093/jnci/djab141.
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Preferences in trust regarding the provision of cancer information among adults.成年人对癌症信息提供方面的信任偏好。
J Natl Med Assoc. 2021 Aug;113(4):457-464. doi: 10.1016/j.jnma.2021.03.003. Epub 2021 Apr 1.
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An Examination of Factors Contributing to the Acceptance of Online Health Misinformation.对导致在线健康错误信息被接受的因素的考察。
Front Psychol. 2021 Mar 1;12:630268. doi: 10.3389/fpsyg.2021.630268. eCollection 2021.
8
Heterogeneity in Trust of Cancer Information among Hispanic Adults in the United States: An Analysis of the Health Information National Trends Survey.美国西班牙裔成年人对癌症信息信任的异质性:对健康信息国家趋势调查的分析。
Cancer Epidemiol Biomarkers Prev. 2020 Jul;29(7):1348-1356. doi: 10.1158/1055-9965.EPI-19-1375.
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Fatalism in the context of COVID-19: Perceiving coronavirus as a death sentence predicts reluctance to perform recommended preventive behaviors.新冠疫情背景下的宿命论:将新冠病毒视为死刑判决预示着不愿采取推荐的预防行为。
SSM Popul Health. 2020 Aug;11:100615. doi: 10.1016/j.ssmph.2020.100615. Epub 2020 Jun 8.
10
What is the alternative? Responding strategically to cancer misinformation.还有什么其他办法呢?对癌症错误信息做出策略性回应。
Future Oncol. 2020 Sep;16(25):1883-1888. doi: 10.2217/fon-2020-0440. Epub 2020 Jun 21.