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针对癌症相关困扰的网络干预的两种抽样程序的代表性:便利样本与登记样本的比较。

Representativeness of two sampling procedures for an internet intervention targeting cancer-related distress: a comparison of convenience and registry samples.

作者信息

Owen Jason E, Bantum Erin O'Carroll, Criswell Kevin, Bazzo Julie, Gorlick Amanda, Stanton Annette L

机构信息

Department of Psychology, Loma Linda University, 11130 Anderson St., Loma Linda, CA, 92350, USA,

出版信息

J Behav Med. 2014 Aug;37(4):630-41. doi: 10.1007/s10865-013-9509-6. Epub 2013 May 4.

Abstract

Internet interventions often rely on convenience sampling, yet convenience samples may differ in important ways from systematic recruitment approaches. The purpose of this study was to evaluate potential demographic, medical, and psychosocial differences between Internet-recruited and registry-recruited cancer survivors in an Internet-based intervention. Participants were recruited from a cancer registry (n = 80) and via broad Internet outreach efforts (n = 160). Participants completed a set of self-report questionnaires, and both samples were compared to a population-based sample of cancer survivors (n = 5,150). The Internet sample was younger, better educated, more likely to be female, had longer time since diagnosis, and had more advanced stage of disease (p's < .001), and the registry-sample was over-represented by men and those with prostate or other cancer types (p's < .001). The Internet sample also exhibited lower quality of life and social support and greater mood disturbance (p's < .001). Understanding how convenience and systematic samples differ has important implications for external validity and potential for dissemination of Internet-based interventions.

摘要

互联网干预措施通常依赖于便利抽样,然而便利样本在一些重要方面可能与系统招募方法有所不同。本研究的目的是评估在一项基于互联网的干预中,通过互联网招募的癌症幸存者与通过登记处招募的癌症幸存者在人口统计学、医学和心理社会方面的潜在差异。参与者从癌症登记处招募(n = 80),并通过广泛的互联网宣传活动招募(n = 160)。参与者完成了一组自我报告问卷,并将两个样本与基于人群的癌症幸存者样本(n = 5150)进行比较。互联网样本更年轻、受教育程度更高、女性比例更高、诊断后时间更长、疾病分期更晚(p值 < 0.001),而登记处样本中男性以及患有前列腺癌或其他癌症类型的人比例过高(p值 < 0.001)。互联网样本还表现出较低的生活质量和社会支持水平,以及更严重的情绪困扰(p值 < 0.001)。了解便利样本和系统样本之间的差异对于基于互联网的干预措施的外部效度和传播潜力具有重要意义。

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