Suppr超能文献

肿瘤学家对辅助治疗!模型用于风险沟通的应用:一项检验患者对10年预后了解情况的试点研究。

Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis.

作者信息

Belkora Jeffrey K, Rugo Hope S, Moore Dan H, Hutton David W, Chen Daniel F, Esserman Laura J

机构信息

Department of Surgery, University of California San Francisco, San Francisco, CA, USA.

出版信息

BMC Cancer. 2009 Apr 28;9:127. doi: 10.1186/1471-2407-9-127.

Abstract

BACKGROUND

Our purpose was to collect preliminary data on newly diagnosed breast cancer patient knowledge of prognosis before and after oncology visits. Many oncologists use a validated prognostic software model, Adjuvant!, to estimate 10-year recurrence and mortality outcomes for breast cancer local and adjuvant therapy. Some oncologists are printing Adjuvant! screens to use as visual aids during consultations. No study has reported how such use of Adjuvant! printouts affects patient knowledge of prognosis. We hypothesized that Adjuvant! printouts would be associated with significant changes in the proportion of patients with accurate understanding of local therapy prognosis.

METHODS

We recruited a convenience sample of 20 patients seen by 2 senior oncologists using Adjuvant! printouts of recurrence and mortality screens in our academic medical center. We asked patients for their estimates of local therapy recurrence and mortality risks and counted the number of patients whose estimates were within +/- 5% of Adjuvant! before and after the oncology visit, testing whether pre/post changes were significant using McNemar's two-sided test at a significance level of 5%.

RESULTS

Two patients (10%) accurately estimated local therapy recurrence and mortality risks before the oncology visit, while seven out of twenty (35%) were accurate afterwards (p = 0.125).

CONCLUSION

A majority of patients in our sample were inaccurate in estimating their local therapy recurrence and mortality risks, even after being shown printouts summarizing these risks during their oncology visits. Larger studies are needed to replicate or repudiate these preliminary findings, and test alternative methods of presenting risk estimates. Meanwhile, oncologists should be wary of relying exclusively on Adjuvant! printouts to communicate local therapy recurrence and mortality estimates to patients, as they may leave a majority of patients misinformed.

摘要

背景

我们的目的是收集关于新诊断乳腺癌患者在肿瘤学就诊前后对预后知识了解情况的初步数据。许多肿瘤学家使用经过验证的预后软件模型“辅助!”来估计乳腺癌局部及辅助治疗的10年复发率和死亡率结果。一些肿瘤学家会打印“辅助!”的界面用作会诊时的视觉辅助工具。尚无研究报告这种使用“辅助!”打印件的方式如何影响患者对预后的了解。我们假设“辅助!”打印件会与准确理解局部治疗预后的患者比例的显著变化相关。

方法

我们在学术医疗中心招募了一个便利样本,包括20名由2位资深肿瘤学家诊治的患者,这些肿瘤学家使用了“辅助!”的复发率和死亡率界面打印件。我们询问患者对局部治疗复发和死亡风险的估计,并统计估计值在“辅助!”估计值正负5%范围内的患者数量,在肿瘤学就诊前后进行统计,使用麦克尼马尔双侧检验在5%的显著性水平下检验前后变化是否显著。

结果

两名患者(10%)在肿瘤学就诊前准确估计了局部治疗复发和死亡风险,而20名患者中有7名(35%)在就诊后估计准确(p = 0.125)。

结论

在我们的样本中,大多数患者在估计其局部治疗复发和死亡风险时不准确,即使在肿瘤学就诊期间向他们展示了总结这些风险的打印件之后。需要更大规模的研究来重复或反驳这些初步发现,并测试呈现风险估计的替代方法。同时,肿瘤学家应谨慎,不要仅仅依赖“辅助!”打印件向患者传达局部治疗复发和死亡估计,因为这可能会使大多数患者得到错误信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb83/2684746/b309ae1a59ae/1471-2407-9-127-1.jpg

相似文献

3
Is There a Relationship between Shared Decision Making and Breast Cancer Patients' Trust in Their Medical Oncologists?
Med Decis Making. 2020 Jan;40(1):52-61. doi: 10.1177/0272989X19889905. Epub 2019 Dec 2.
4
Does use of the adjuvant! model influence use of adjuvant therapy through better risk communication?
J Natl Compr Canc Netw. 2011 Jul 1;9(7):707-12. doi: 10.6004/jnccn.2011.0061.
5
Differences in oncologist communication across age groups and contributions to adjuvant decision outcomes.
J Am Geriatr Soc. 2009 Nov;57 Suppl 2:S279-82. doi: 10.1111/j.1532-5415.2009.02512.x.
7
Disclosing the Uncertainty Associated with Prognostic Estimates in Breast Cancer.
Med Decis Making. 2017 Apr;37(3):179-192. doi: 10.1177/0272989X16670639. Epub 2016 Sep 29.
9
Assessing risk communication in breast cancer: are continuous measures of patient knowledge better than categorical?
Patient Educ Couns. 2009 Jul;76(1):106-12. doi: 10.1016/j.pec.2008.11.012. Epub 2009 Jan 1.

引用本文的文献

1
Communication with physicians and family about breast Cancer recurrence.
PEC Innov. 2023 Nov 28;3:100237. doi: 10.1016/j.pecinn.2023.100237. eCollection 2023 Dec 15.
2
Estimation of Risk of Recurrence and Toxicity Among Oncologists and Patients With Resected Breast Cancer: A Quantitative Study.
Front Psychol. 2020 Oct 27;11:540083. doi: 10.3389/fpsyg.2020.540083. eCollection 2020.
3
Breast cancer specialists' views on and use of risk prediction models in clinical practice: a mixed methods approach.
Acta Oncol. 2015 Mar;54(3):361-7. doi: 10.3109/0284186X.2014.964810. Epub 2014 Oct 13.
4
Measuring decision quality: psychometric evaluation of a new instrument for breast cancer chemotherapy.
BMC Med Inform Decis Mak. 2014 Aug 20;14:73. doi: 10.1186/1472-6947-14-73.
6
Predicting cancer prognosis using interactive online tools: a systematic review and implications for cancer care providers.
Cancer Epidemiol Biomarkers Prev. 2013 Oct;22(10):1645-56. doi: 10.1158/1055-9965.EPI-13-0513. Epub 2013 Aug 16.
7
Does use of the adjuvant! model influence use of adjuvant therapy through better risk communication?
J Natl Compr Canc Netw. 2011 Jul 1;9(7):707-12. doi: 10.6004/jnccn.2011.0061.
8
The benefits of discussing adjuvant therapies one at a time instead of all at once.
Breast Cancer Res Treat. 2011 Aug;129(1):79-87. doi: 10.1007/s10549-010-1193-4. Epub 2010 Oct 14.

本文引用的文献

2
Assessing risk communication in breast cancer: are continuous measures of patient knowledge better than categorical?
Patient Educ Couns. 2009 Jul;76(1):106-12. doi: 10.1016/j.pec.2008.11.012. Epub 2009 Jan 1.
3
Improving understanding of adjuvant therapy options by using simpler risk graphics.
Cancer. 2008 Dec 15;113(12):3382-90. doi: 10.1002/cncr.23959.
4
Risk communication with patients with breast cancer: cautionary notes about printing Adjuvant! estimates.
Lancet Oncol. 2008 Jul;9(7):602-3. doi: 10.1016/S1470-2045(08)70158-X.
5
Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations.
Med Decis Making. 2007 Sep-Oct;27(5):696-713. doi: 10.1177/0272989X07307271. Epub 2007 Sep 14.
6
Cognitive function in breast cancer patients prior to adjuvant treatment.
Breast Cancer Res Treat. 2008 Jul;110(1):143-52. doi: 10.1007/s10549-007-9686-5. Epub 2007 Aug 3.
7
A decision aid to assist in adjuvant therapy choices for breast cancer.
Psychooncology. 2006 Nov;15(11):1001-13. doi: 10.1002/pon.1040.
10
Population-based validation of the prognostic model ADJUVANT! for early breast cancer.
J Clin Oncol. 2005 Apr 20;23(12):2716-25. doi: 10.1200/JCO.2005.06.178.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验