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Related Concept Videos

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Related Experiment Video

Updated: Aug 26, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Stakeholder and Equity Data-Driven Implementation: a Mixed Methods Pilot Feasibility Study.

Kelly A Aschbrenner1, Gina Kruse2, Karen M Emmons3

  • 1Geisel School of Medicine at Dartmouth College, Hanover, NH, USA. Kelly.Aschbrenner@dartmouth.edu.

Prevention Science : the Official Journal of the Society for Prevention Research
|October 4, 2022
PubMed
Summary

The Stakeholder and Equity Data-Driven Implementation (SEDDI) process helped identify patient groups with healthcare gaps. Adaptations improved access and outcomes, though rapid testing was limited by competing priorities.

Keywords:
AdaptationsHealth equityImplementationMixed methods

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Area of Science:

  • Implementation science
  • Health equity research
  • Public health interventions

Background:

  • Healthcare data can identify patient groups with suboptimal evidence-based intervention (EBI) use.
  • Addressing these gaps is crucial for improving access and achieving equitable health outcomes.
  • Federally Qualified Community Health Centers (CHCs) are key sites for implementing and adapting interventions.

Purpose of the Study:

  • To evaluate the feasibility and acceptability of the Stakeholder and Equity Data-Driven Implementation (SEDDI) process.
  • To assess SEDDI's utility in identifying and addressing health equity gaps in colorectal cancer (CRC) screening.
  • To explore adaptations for improving EBI access and outcomes within CHCs.

Main Methods:

  • A pilot hybrid type 2 effectiveness-implementation study was conducted.
  • The Stakeholder and Equity Data-Driven Implementation (SEDDI) process involved external facilitation over 8 months.
  • Convergent mixed methods, including surveys and focus groups, were used for evaluation.

Main Results:

  • CHCs utilized data to identify disparities in CRC screening outreach and completion across demographic groups.
  • Intervention adaptations focused on cultural, linguistic, and health literacy tailoring to enhance access.
  • Facilitation and data review were perceived as beneficial, but rapid cycle testing was not completed due to competing priorities.

Conclusions:

  • The Stakeholder and Equity Data-Driven Implementation (SEDDI) process shows potential for advancing chronic disease prevention and management.
  • SEDDI offers a stakeholder and data-driven approach to target health equity improvements.
  • Adaptations guided by data can improve health equity, though implementation challenges exist.