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接触六至八年后定位女性的预测因素:招募时的网络资源可能有助于提高纵向研究的应答率。

Predictors of locating women six to eight years after contact: internet resources at recruitment may help to improve response rates in longitudinal research.

作者信息

Cadarette Suzanne M, Dickson Leigh, Gignac Monique A M, Beaton Dorcas E, Jaglal Susan B, Hawker Gillian A

机构信息

Osteoporosis Research Program, Women's College Hospital, Toronto, Canada.

出版信息

BMC Med Res Methodol. 2007 Jun 18;7:22. doi: 10.1186/1471-2288-7-22.

Abstract

BACKGROUND

The ability to locate those sampled has important implications for response rates and thus the success of survey research. The purpose of this study was to examine predictors of locating women requiring tracing using publicly available methods (primarily Internet searches), and to determine the additional benefit of vital statistics linkages.

METHODS

Random samples of women aged 65-89 years residing in two regions of Ontario, Canada were selected from a list of those who completed a questionnaire between 1995 and 1997 (n = 1,500). A random sample of 507 of these women had been searched on the Internet as part of a feasibility pilot in 2001. All 1,500 women sampled were mailed a newsletter and information letter prior to recruitment by telephone in 2003 and 2004. Those with returned mail or incorrect telephone number(s) required tracing. Predictors of locating women were examined using logistic regression.

RESULTS

Tracing was required for 372 (25%) of the women sampled, and of these, 181 (49%) were located. Predictors of locating women were: younger age, residing in less densely populated areas, having had a web-search completed in 2001, and listed name identified on the Internet prior to recruitment in 2003. Although vital statistics linkages to death records subsequently identified 41 subjects, these data were incomplete.

CONCLUSION

Prospective studies may benefit from using Internet resources at recruitment to determine the listed names for telephone numbers thereby facilitating follow-up tracing and improving response rates. Although vital statistics linkages may help to identify deceased individuals, these may be best suited for post hoc response rate adjustment.

摘要

背景

找到抽样对象的能力对回复率有着重要影响,进而关系到调查研究的成败。本研究旨在通过公开可用的方法(主要是互联网搜索),探究确定需要追踪的女性的预测因素,并确定生命统计数据关联的额外益处。

方法

从1995年至1997年完成问卷的人员名单中,随机抽取居住在加拿大安大略省两个地区的65至89岁女性样本(n = 1500)。作为2001年可行性试点的一部分,对其中507名女性进行了互联网搜索。在2003年和2004年通过电话招募之前,向所有1500名抽样女性邮寄了一份时事通讯和信息信。那些邮件被退回或电话号码错误的女性需要进行追踪。使用逻辑回归分析确定找到女性的预测因素。

结果

372名(25%)抽样女性需要追踪,其中181名(49%)被找到。找到女性的预测因素包括:年龄较小、居住在人口密度较低的地区、在2001年完成过网络搜索以及在2003年招募前在互联网上可识别列出的姓名。尽管随后通过生命统计数据与死亡记录的关联识别出41名对象,但这些数据并不完整。

结论

前瞻性研究可能会受益于在招募时使用互联网资源来确定电话号码对应的列出姓名,从而便于后续追踪并提高回复率。尽管生命统计数据关联可能有助于识别已故个体,但这些数据可能最适合用于事后回复率调整。

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