从顺序混合模式调查设计中吸取的经验教训,从案例对照研究参与者中招募和收集数据:形成性评估
Amanda D Tran1, Alice E White1, Michelle R Torok1
1Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, United States.
JMIR formative research
|May 27, 2024
概括
连续混合模式调查,结合网络和电话,有效地招募各种参与者参加COVID-19病例控制研究,以最小的数据质量影响提高代表性.
科学领域:
- 流行病学 流行病学
- 调查方法 调查方法
- 公共卫生研究 公共卫生研究
背景情况:
- 顺序混合模式调查 (网络+电话) 在观察性研究中提供了好处.
- 它们在流行病学病例控制研究中的有用性仍未得到评估.
研究的目的:
- 在COVID-19病例控制研究中评估连续混合模式调查的挑战,好处和局限性.
- 使用此设计,评估疫情期间的风险因素.
主要方法:
- 科罗拉多州的成年人 (病例:SARS-CoV-2阳性;对照:阴性) 于2021年3月至4月招募.
- 通过SMS进行网络调查的初始联系;未回答者接受了电话采访.
- 按模式评估代表性,社会人口统计,响应和资源需求.
主要成果:
- 电话采访更为常见 (57.4%的病例,52.8%的对照);整体招生人数翻了一番.
- 网络调查的受访者更常是女性,白人,城市人,并且不在家外工作.
- 电话响应者倾向于年轻/年长,教育程度较低,语言隔离程度较高,收入较低,有色人种更多.
- 组合模式改善了参与者与样本池的相似性.
- 网络响应者报告了较少的COVID-19接触,但更多的社区暴露 (零售,餐饮,聚会).
- 网络调查的成本和时间效率非常高 (920美元,0.03小时/参与者) 与电话 (70,000美元,5.11小时/参与者).
结论:
- 顺序混合模式设计有效地招募了一个代表性的病例控制研究小组.
- 这种方法对数据质量的影响有限.
- 建议用于公共卫生紧急情况,需要及时,准确的暴露数据进行控制措施.
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