The Together for Health - Virginia Research Program: A Multi-Modal Approach for Population Health Assessment.

Preventive oncology & epidemiology Pub Date : 2024-01-01 Epub Date: 2024-06-27 DOI:10.1080/28322134.2024.2367994
Bernard F Fuemmeler, Carrie A Miller, D Jeremy Barsell, Sepideh Shokouhi, Aisha Montgomery, David C Wheeler, Sunny Jung Kim, Bassam Dahman, Robert Winn
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Abstract

Background: The Together for Health-Virginia (T4H-VA) Research Program aimed to advance cancer prevention, education, and outreach in Virginia. Creating a representative and inclusive cohort is critical to the program's mission and quality of outcomes. The T4H-VA Research Program utilized a multi-modal sampling approach to improve population health assessment. The current study describes the technology-based, non-probability platform developed for this purpose and compares differences between the probability-based (mail-based) and non-probability-based (e-cohort) methods with respect to participant demographics, health characteristics, and health information and technology use.

Methods: T4H-VA is a research registry focusing on 54 counties within the Massey Comprehensive Cancer Center (MCCC) catchment area in Richmond, VA. Adult residents proficient in English were eligible. For the probability-based sampling, surveys were mailed to residents within the catchment area. For the non-probability sampling, an online study platform was developed and surveys were completed through the web/mobile app.

Results: Both cohorts fell short of recruitment goals. The study yielded 1158 participants (M=57, SD=16 years; 55.0% female; 72.1% White); 899 (77.6%) were sampled through the probability, mail-based approach. Participants who identified as "other" race were significantly less likely to be sampled by the non-probability method. Significant differences emerged, including health protective (greater moderate and high physical activity) and risk factors (greater alcohol consumption and personal history of cancer) in the non-probability, e-cohort relative to the probability sample. E-Cohort participants were significantly more likely to report using electronic health records.

Discussion: Overall difficulties in recruiting were caused, at least in part, by the onset of the COVID-19 pandemic and related factors. The e-cohort, which used exclusively digital recruitment strategies, fell significantly short of recruitment goals. This suggests in-person and mail-based strategies remain important for recruitment. Moreover, instead of favoring a singular approach, a combined approach to survey sampling may capitalize on the strengths of each sampling mode to increase diversity in sociodemographic and health risk characteristics.

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共同促进健康--弗吉尼亚研究计划:人口健康评估的多模式方法。
背景:弗吉尼亚州携手健康(T4H-VA)研究计划旨在推动弗吉尼亚州的癌症预防、教育和推广工作。建立一个具有代表性和包容性的群体对于该计划的使命和成果质量至关重要。T4H-VA 研究计划采用了一种多模式抽样方法来改进人口健康评估。本研究介绍了为此开发的基于技术的非概率平台,并比较了基于概率(邮寄)和非基于概率(电子队列)的方法在参与者人口统计学、健康特征以及健康信息和技术使用方面的差异:T4H-VA 是一项研究登记,主要针对弗吉尼亚州里士满梅西综合癌症中心 (MCCC) 管辖区内的 54 个县。精通英语的成年居民均符合条件。对于基于概率的抽样,调查表邮寄给覆盖区内的居民。对于非概率抽样,则开发了一个在线研究平台,通过网络/移动应用程序完成调查:结果:两个组群均未达到招募目标。研究共招募了 1158 名参与者(男=57 岁,女=16 岁;55.0% 为女性;72.1% 为白人);其中 899 人(77.6%)是通过邮寄方式进行概率抽样的。被认定为 "其他 "种族的参与者采用非概率方法抽样的可能性明显较低。与概率样本相比,非概率电子队列出现了显著差异,包括健康保护因素(更多的中度和高度体育活动)和风险因素(更多的酒精消费和个人癌症病史)。电子队列参与者更有可能报告使用电子健康记录:讨论:招募方面的总体困难至少部分是由 COVID-19 大流行和相关因素造成的。电子队列只采用了数字招募策略,但却明显没有达到招募目标。这表明,面谈和邮寄策略对招募工作仍然很重要。此外,调查抽样的综合方法可以充分利用每种抽样方式的优势,增加社会人口学和健康风险特征的多样性,而不是倾向于单一的方法。
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