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与北佛罗里达州社区参与计划中的随访相关的因素。

Correlates related to follow-up in a community engagement program in North Central Florida.

机构信息

Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, Florida, USA.

Department of Pediatrics, College of Medicine, University of Florida, Gainesville, Florida, USA.

出版信息

J Community Psychol. 2020 Nov;48(8):2723-2739. doi: 10.1002/jcop.22450. Epub 2020 Sep 19.

Abstract

AIMS

This analysis identifies the correlates of 60- and 120-day telephone-based study follow-ups among community-dwelling adults in North Central Florida.

METHODS

Six thousand three hundred and forty participants were recruited by Community Health Workers from the University of Florida's community engagement program with a face-to-face baseline and two phone follow-ups assessing indicators of health.

RESULTS

Physical disability versus none (adjusted odds ratio [aOR], 1.5; 95% confidence interval [CI], 1.2─1.9), high trust in research versus none (aOR, 1.5; 95% CI, 1.1─2.1), history of research participation versus none (aOR, 1.6; 95% CI, 1.3─2.0), having health insurance versus none (aOR, 1.4; 95% CI, 1.1─1.7), interest in research participation versus none (aOR, 1.8; 95% CI, 1.3─2.7), and no drug use versus drug use (aOR, 0.5; 95% CI, 0.3─0.9) significantly predicted completion of follow-up.

CONCLUSIONS

Health and social factors such as disability, insurance, history of and interest in research, trust and no drug use significantly predicted completing two follow-ups. These findings can facilitate efforts to minimize attrition in the research enterprise.

摘要

目的

本分析旨在确定美国北佛罗里达州中社区居民在 60 天和 120 天电话随访中的相关因素。

方法

6340 名参与者由佛罗里达大学社区参与计划的社区卫生工作者招募,通过面对面的基线调查和两次电话随访评估健康指标。

结果

与无身体残疾者相比(调整后的优势比 [aOR],1.5;95%置信区间 [CI],1.2─1.9),高度信任研究与无信任者相比(aOR,1.5;95% CI,1.1─2.1),与无研究参与者相比(aOR,1.6;95% CI,1.3─2.0),有医疗保险者与无医疗保险者相比(aOR,1.4;95% CI,1.1─1.7),对研究参与者感兴趣与无兴趣者相比(aOR,1.8;95% CI,1.3─2.7),无药物使用者与药物使用者相比(aOR,0.5;95% CI,0.3─0.9)显著预测完成随访。

结论

健康和社会因素,如残疾、保险、研究史和兴趣、信任和无药物使用,显著预测了两次随访的完成。这些发现可以促进努力,最大限度地减少研究企业中的人员流失。

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