Mikalah Thomas, Madhuri Agrawal, Millie Das, Manali I Patel
{"title":"志愿者主导的精准医学多层次干预对患者报告结果、生物标志物检测和治疗时间的影响:一项随机临床试验。","authors":"Mikalah Thomas, Madhuri Agrawal, Millie Das, Manali I Patel","doi":"10.1200/OP-25-00531","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>We developed and tested whether a multilevel intervention in which a trained volunteer (1) educated patients and (2) alerted clinicians if biomarker results were unavailable improved patient knowledge of precision medicine (primary outcome) and secondary outcomes including patient activation, satisfaction with decision making, molecular testing, and time to treatment more than usual care alone (control group).</p><p><strong>Methods: </strong>Between April 15, 2023, and May 20, 2024, we enrolled veterans age >18 years with any stage of non-small cell lung cancer. Participants completed assessments at random assignment and 1-month follow-up and were followed for 6 months. We reviewed electronic health records for molecular testing and time to treatment and compared all outcomes using regression models.</p><p><strong>Results: </strong>Of the 75 screened, 46 were eligible and participated. All were male (100%); the mean age (standard deviation [SD]) was 76.3 (5.54) years; 31 (67.4%) were Hispanic or Latino, two (4.4%) Asian, 11 (23.9%) Black, one (2.2%) Native Hawaiian, and 32 (69.6%) White. Knowledge, activation, and satisfaction increased more in the intervention than in the control (mean [SD]: knowledge 2.30 [0.97] <i>v</i> 1.16 [1.15], mean difference over time, 0.25 [95% CI, 0.19 to 0.29], <i>P</i> < .001); mean [SD] activation 46.7 [11.3] <i>v</i> 37.6 [9.26], mean difference over time, 9.28 [95% CI, 3.42 to 15.14], <i>P</i> < .001; mean [SD] satisfaction 34.7 [1.49] <i>v</i> 24.8 [8.67], mean difference over time, 13.9 [95% CI, 3.50 to 24.41], <i>P</i> = .009, respectively). There were no differences in molecular testing (intervention: 95.6% <i>v</i> control: 86.9%, odds ratio, 3.30, 95% CI, 0.32 to 34.9, <i>P</i> = .30). Time to treatment was lower in the intervention by mean (SD) 1.35 (0.58) months (95% CI, 0.19 to 2.53, <i>P</i> = .02).</p><p><strong>Conclusion: </strong>This approach may improve veteran lung cancer care.</p>","PeriodicalId":14612,"journal":{"name":"JCO oncology practice","volume":" ","pages":"OP2500531"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of a Volunteer-Led Precision-Medicine Multilevel Intervention on Patient-Reported Outcomes, Receipt of Biomarker Testing, and Time to Treatment: A Randomized Clinical Trial.\",\"authors\":\"Mikalah Thomas, Madhuri Agrawal, Millie Das, Manali I Patel\",\"doi\":\"10.1200/OP-25-00531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>We developed and tested whether a multilevel intervention in which a trained volunteer (1) educated patients and (2) alerted clinicians if biomarker results were unavailable improved patient knowledge of precision medicine (primary outcome) and secondary outcomes including patient activation, satisfaction with decision making, molecular testing, and time to treatment more than usual care alone (control group).</p><p><strong>Methods: </strong>Between April 15, 2023, and May 20, 2024, we enrolled veterans age >18 years with any stage of non-small cell lung cancer. Participants completed assessments at random assignment and 1-month follow-up and were followed for 6 months. We reviewed electronic health records for molecular testing and time to treatment and compared all outcomes using regression models.</p><p><strong>Results: </strong>Of the 75 screened, 46 were eligible and participated. All were male (100%); the mean age (standard deviation [SD]) was 76.3 (5.54) years; 31 (67.4%) were Hispanic or Latino, two (4.4%) Asian, 11 (23.9%) Black, one (2.2%) Native Hawaiian, and 32 (69.6%) White. Knowledge, activation, and satisfaction increased more in the intervention than in the control (mean [SD]: knowledge 2.30 [0.97] <i>v</i> 1.16 [1.15], mean difference over time, 0.25 [95% CI, 0.19 to 0.29], <i>P</i> < .001); mean [SD] activation 46.7 [11.3] <i>v</i> 37.6 [9.26], mean difference over time, 9.28 [95% CI, 3.42 to 15.14], <i>P</i> < .001; mean [SD] satisfaction 34.7 [1.49] <i>v</i> 24.8 [8.67], mean difference over time, 13.9 [95% CI, 3.50 to 24.41], <i>P</i> = .009, respectively). There were no differences in molecular testing (intervention: 95.6% <i>v</i> control: 86.9%, odds ratio, 3.30, 95% CI, 0.32 to 34.9, <i>P</i> = .30). Time to treatment was lower in the intervention by mean (SD) 1.35 (0.58) months (95% CI, 0.19 to 2.53, <i>P</i> = .02).</p><p><strong>Conclusion: </strong>This approach may improve veteran lung cancer care.</p>\",\"PeriodicalId\":14612,\"journal\":{\"name\":\"JCO oncology practice\",\"volume\":\" \",\"pages\":\"OP2500531\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JCO oncology practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1200/OP-25-00531\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JCO oncology practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1200/OP-25-00531","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:我们开发并测试了一种多级干预,在这种干预中,一名训练有素的志愿者(1)教育患者,(2)在生物标志物结果无法获得时提醒临床医生,是否能提高患者对精准医学的认识(主要结果),以及次要结果,包括患者激活、对决策的满意度、分子检测和治疗时间,而不是单纯的常规护理(对照组)。方法:在2023年4月15日至2024年5月20日期间,我们招募了年龄在10 - 18岁的非小细胞肺癌任何阶段的退伍军人。参与者随机完成评估,随访1个月,随访6个月。我们回顾了电子健康记录的分子检测和治疗时间,并使用回归模型比较了所有结果。结果:在筛选的75人中,有46人符合条件并参与了研究。全部为男性(100%);平均年龄(标准差[SD])为76.3(5.54)岁;31人(67.4%)是西班牙裔或拉丁裔,2人(4.4%)是亚洲人,11人(23.9%)是黑人,1人(2.2%)是夏威夷原住民,32人(69.6%)是白人。干预组的知识、激活和满意度比对照组增加更多(平均[SD]:知识2.30 [0.97]v 1.16[1.15],随时间平均差异为0.25 [95% CI, 0.19 ~ 0.29], P < .001);平均[SD]激活46.7 [11.3]vs 37.6[9.26],随时间平均差异为9.28 [95% CI, 3.42 ~ 15.14], P < .001;平均[SD]满意度为34.7 [1.49]v 24.8[8.67],随时间平均差异为13.9 [95% CI, 3.50 ~ 24.41], P = 0.009)。分子检测方面无差异(干预组:95.6% vs对照组:86.9%,优势比3.30,95% CI 0.32 ~ 34.9, P = 0.30)。干预组的治疗时间平均(SD)减少1.35(0.58)个月(95% CI, 0.19 ~ 2.53, P = 0.02)。结论:该方法可提高退伍军人肺癌的护理水平。
Effect of a Volunteer-Led Precision-Medicine Multilevel Intervention on Patient-Reported Outcomes, Receipt of Biomarker Testing, and Time to Treatment: A Randomized Clinical Trial.
Purpose: We developed and tested whether a multilevel intervention in which a trained volunteer (1) educated patients and (2) alerted clinicians if biomarker results were unavailable improved patient knowledge of precision medicine (primary outcome) and secondary outcomes including patient activation, satisfaction with decision making, molecular testing, and time to treatment more than usual care alone (control group).
Methods: Between April 15, 2023, and May 20, 2024, we enrolled veterans age >18 years with any stage of non-small cell lung cancer. Participants completed assessments at random assignment and 1-month follow-up and were followed for 6 months. We reviewed electronic health records for molecular testing and time to treatment and compared all outcomes using regression models.
Results: Of the 75 screened, 46 were eligible and participated. All were male (100%); the mean age (standard deviation [SD]) was 76.3 (5.54) years; 31 (67.4%) were Hispanic or Latino, two (4.4%) Asian, 11 (23.9%) Black, one (2.2%) Native Hawaiian, and 32 (69.6%) White. Knowledge, activation, and satisfaction increased more in the intervention than in the control (mean [SD]: knowledge 2.30 [0.97] v 1.16 [1.15], mean difference over time, 0.25 [95% CI, 0.19 to 0.29], P < .001); mean [SD] activation 46.7 [11.3] v 37.6 [9.26], mean difference over time, 9.28 [95% CI, 3.42 to 15.14], P < .001; mean [SD] satisfaction 34.7 [1.49] v 24.8 [8.67], mean difference over time, 13.9 [95% CI, 3.50 to 24.41], P = .009, respectively). There were no differences in molecular testing (intervention: 95.6% v control: 86.9%, odds ratio, 3.30, 95% CI, 0.32 to 34.9, P = .30). Time to treatment was lower in the intervention by mean (SD) 1.35 (0.58) months (95% CI, 0.19 to 2.53, P = .02).
Conclusion: This approach may improve veteran lung cancer care.