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A prospective analysis of the influence of older age on physician and patient decision-making when considering enrollment in breast cancer clinical trials (SWOG S0316).一项前瞻性分析年龄对考虑参加乳腺癌临床试验时医生和患者决策的影响(SWOG S0316)。
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2
Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial.简短多媒体心理教育干预对癌症患者参与临床试验的态度和兴趣的影响:一项多中心随机对照试验。
J Clin Oncol. 2012 Jul 10;30(20):2516-21. doi: 10.1200/JCO.2011.39.5186. Epub 2012 May 21.
3
Impact of the cost of cancer treatment: an internet-based survey.癌症治疗费用的影响:基于互联网的调查。
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Cancer-related direct-to-consumer advertising: awareness, perceptions, and reported impact among patients undergoing active cancer treatment.癌症相关的直接面向消费者的广告:正在接受积极癌症治疗的患者中的知晓度、认知及报告的影响
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Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review.招募代表性不足人群参与癌症临床试验的障碍:一项系统综述。
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A decade of direct-to-consumer advertising of prescription drugs.十年的处方药直接面向消费者的广告宣传。
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Factors associated with participation in breast cancer treatment clinical trials.与参与乳腺癌治疗临床试验相关的因素。
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9
Recruitment and participation in clinical trials: socio-demographic, rural/urban, and health care access predictors.临床试验的招募与参与:社会人口统计学、城乡及医疗保健可及性预测因素
Cancer Detect Prev. 2006;30(1):24-33. doi: 10.1016/j.cdp.2005.12.001. Epub 2006 Feb 21.
10
Evaluation of factors affecting awareness of and willingness to participate in cancer clinical trials.影响癌症临床试验认知度和参与意愿的因素评估
J Clin Oncol. 2005 Dec 20;23(36):9282-9. doi: 10.1200/JCO.2005.02.6245.

患者收入水平与癌症临床试验参与度。

Patient income level and cancer clinical trial participation.

机构信息

SWOG Statistical Center, Fred Hutchinson Cancer Research Center, M3-C102, 1100 Fairview Ave, Seattle, WA 98109, USA.

出版信息

J Clin Oncol. 2013 Feb 10;31(5):536-42. doi: 10.1200/JCO.2012.45.4553. Epub 2013 Jan 7.

DOI:10.1200/JCO.2012.45.4553
PMID:23295802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3565180/
Abstract

PURPOSE

Studies have shown an association between socioeconomic status (SES) and quality of oncology care, but less is known about the impact of patient SES on clinical trial participation.

PATIENTS AND METHODS

We assessed clinical trial participation patterns according to important SES (income, education) and demographic factors in a large sample of patients surveyed via an Internet-based treatment decision tool. Logistic regression, conditioning on type of cancer, was used. Attitudes toward clinical trials were assessed using prespecified items about treatment, treatment tolerability, convenience, and cost.

RESULTS

From 2007 to 2011, 5,499 patients were successfully surveyed. Forty percent discussed clinical trials with their physician, 45% of discussions led to physician offers of clinical trial participation, and 51% of offers led to clinical trial participation. The overall clinical trial participation rate was 9%. In univariate models, older patients (P = .002) and patients with lower income (P = .001) and education (P = .02) were less likely to participate in clinical trials. In a multivariable model, income remained a statistically significant predictor of clinical trial participation (odds ratio, 0.73; 95% CI, 0.57 to 0.94; P = .01). Even in patients age ≥ 65 years, who have universal access to Medicare, lower income predicted lower trial participation. Cost concerns were much more evident among lower-income patients (P < .001).

CONCLUSION

Lower-income patients were less likely to participate in clinical trials, even when considering age group. A better understanding of why income is a barrier may help identify ways to make clinical trials better available to all patients and would increase the generalizability of clinical trial results across all income levels.

摘要

目的

研究表明社会经济地位(SES)与肿瘤治疗质量之间存在关联,但对于患者 SES 对临床试验参与的影响知之甚少。

患者和方法

我们通过基于互联网的治疗决策工具对大量患者进行调查,根据 SES(收入、教育)和重要人口统计学因素评估临床试验参与模式。使用基于癌症类型的条件逻辑回归。使用关于治疗、治疗耐受性、便利性和成本的预设项目评估对临床试验的态度。

结果

2007 年至 2011 年,成功调查了 5499 名患者。40%的患者与医生讨论了临床试验,45%的讨论导致医生提供临床试验参与机会,51%的机会导致临床试验参与。总体临床试验参与率为 9%。在单变量模型中,年龄较大的患者(P=0.002)、收入较低的患者(P=0.001)和教育程度较低的患者(P=0.02)参与临床试验的可能性较低。在多变量模型中,收入仍然是临床试验参与的统计学显著预测因素(优势比,0.73;95%置信区间,0.57 至 0.94;P=0.01)。即使在年龄≥65 岁、普遍享有医疗保险的患者中,较低的收入也预示着较低的试验参与率。低收入患者对费用问题的担忧更为明显(P<0.001)。

结论

即使考虑到年龄组,低收入患者参与临床试验的可能性也较低。更好地了解收入为何成为障碍,可能有助于确定使临床试验更好地为所有患者提供的方法,并提高临床试验结果在所有收入水平上的普遍性。