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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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The Together for Health - Virginia Research Program: A Multi-Modal Approach for Population Health Assessment.

Bernard F Fuemmeler1,2, Carrie A Miller1,2, D Jeremy Barsell1

  • 1Department of Family Medicine & Population Health, Virginia Commonwealth University, Richmond, VA, USA.

Preventive Oncology & Epidemiology
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Summary
This summary is machine-generated.

The Together for Health-Virginia (T4H-VA) program found that while online recruitment (e-cohort) reached fewer participants, it captured diverse health characteristics. Combining mail-based and digital methods is key for inclusive cancer research recruitment.

Keywords:
digital technologyelectronic cohort (e-cohort)epidemiological research registrypopulation health assessmentsurvey samplingsurvey sampling modalities

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Area of Science:

  • Public Health
  • Cancer Prevention Research
  • Health Equity

Background:

  • The Together for Health-Virginia (T4H-VA) Research Program aimed to enhance cancer prevention, education, and outreach in Virginia.
  • Establishing a representative and inclusive cohort is crucial for the program's mission and outcome quality.
  • A multi-modal sampling strategy was employed to improve population health assessment.

Purpose of the Study:

  • To describe a technology-based, non-probability platform for cohort recruitment.
  • To compare demographic, health, and technology use differences between probability-based (mail) and non-probability-based (e-cohort) sampling methods.
  • To assess the effectiveness of different recruitment strategies for building an inclusive research cohort.

Main Methods:

  • Developed an online platform for non-probability sampling (e-cohort) alongside traditional mail-based probability sampling.
  • Recruited adult English-proficient residents within the Massey Comprehensive Cancer Center (MCCC) catchment area.
  • Compared participant demographics, health characteristics, and health information/technology use between the two sampling methods.

Main Results:

  • Both probability and non-probability cohorts fell short of recruitment goals, partly due to the COVID-19 pandemic.
  • The non-probability (e-cohort) method recruited fewer participants, particularly those identifying with "other" races.
  • The e-cohort showed higher rates of physical activity, alcohol consumption, personal cancer history, and electronic health record use compared to the mail-based cohort.

Conclusions:

  • Exclusively digital recruitment strategies (e-cohort) significantly underperformed, highlighting the continued importance of in-person and mail-based methods.
  • A combined approach to survey sampling is recommended to leverage the strengths of each mode and enhance sociodemographic and health risk diversity.
  • Future research should integrate multiple sampling strategies to build more inclusive and representative cohorts for cancer research.