Leveraging oncology collaborative networks and biomedical informatics data resources to rapidly recruit and enroll rural residents into oncology quality of life clinical trials.

IF 2.1 Q3 MEDICINE, RESEARCH & EXPERIMENTAL Journal of Clinical and Translational Science Pub Date : 2024-09-23 eCollection Date: 2024-01-01 DOI:10.1017/cts.2024.576
Heath A Davis, Asher A Hoberg, Laura S Jacobus, Kenneth Nepple, Aaron T Seaman, Jamie Sorensen, George J Weiner, Stephanie Gilbertson-White
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Abstract

Purpose: This study assesses the feasibility of biomedical informatics resources for efficient recruitment of rural residents with cancer to a clinical trial of a quality-of-life (QOL) mobile app. These resources have the potential to reduce costly, time-consuming, in-person recruitment methods.

Methods: A cohort was identified from the electronic health record data repository and cross-referenced with patients who consented to additional research contact. Rural-urban commuting area codes were computed to identify rurality. Potential participants were emailed study details, screening questions, and an e-consent link via REDCap. Consented individuals received baseline questionnaires automatically. A sample minimum of n = 80 [n = 40 care as usual (CAU) n = 40 mobile app intervention] was needed.

Results: N = 1298 potential participants (n = 365 CAU; n = 833 intervention) were screened for eligibility. For CAU, 68 consented, 67 completed baseline questionnaires, and 54 completed follow-up questionnaires. For intervention, 100 consented, 97 completed baseline questionnaires, and 58 completed follow-up questionnaires. The CAU/intervention reached 82.5%/122.5% of the enrollment target within 2 days. Recruitment and retention rates were 15.3% and 57.5%, respectively. The mean age was 59.5 ± 13.5 years. The sample was 65% women, 20% racial/ethnic minority, and 35% resided in rural areas.

Conclusion: These results demonstrate that biomedical informatics resources can be highly effective in recruiting for cancer QOL research. Precisely identifying individuals likely to meet inclusion criteria who previously indicated interest in research participation expedited recruitment. Participants completed the consent and baseline questionnaires with zero follow-up contacts from the research team. This low-touch, repeatable process may be highly effective for multisite clinical trials research seeking to include rural residents.

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利用肿瘤学协作网络和生物医学信息学数据资源,快速招募农村居民参与肿瘤学生活质量临床试验。
目的:本研究评估了生物医学信息学资源在有效招募农村癌症患者参加生活质量(QOL)移动应用程序临床试验方面的可行性。这些资源有可能减少昂贵、耗时的现场招募方法:方法:从电子健康记录数据存储库中确定一个群组,并与同意接受额外研究接触的患者进行交叉对比。通过计算农村-城市通勤区代码来确定农村地区。通过 REDCap 向潜在参与者发送研究详情、筛选问题和电子同意链接的电子邮件。获得同意的个人会自动收到基线问卷。样本最少需要 n = 80 [n = 40 照常护理 (CAU) n = 40 移动应用干预]:筛选出符合条件的 1298 名潜在参与者(n = 365 名常规护理参与者;n = 833 名干预参与者)。CAU 有 68 人同意,67 人完成了基线问卷,54 人完成了后续问卷。干预组有 100 人同意,97 人完成了基线问卷,58 人完成了后续问卷。CAU/ 干预在 2 天内达到了 82.5%/122.5% 的招募目标。招募率和保留率分别为 15.3% 和 57.5%。平均年龄为 59.5 ± 13.5 岁。样本中 65% 为女性,20% 为少数民族,35% 居住在农村地区:这些结果表明,生物医学信息学资源可以非常有效地为癌症 QOL 研究招募人员。精确识别可能符合纳入标准且之前表示有兴趣参与研究的人员加快了招募速度。参与者在完成同意书和基线问卷后,研究团队只需进行零次后续联系。这种低接触、可重复的流程可能对寻求纳入农村居民的多地点临床试验研究非常有效。
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来源期刊
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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