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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Minimizing Attrition for Multisite Emergency Care Research.

Bret A Nicks1, Manish N Shah2, David H Adler3

  • 1Department of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, NC.

Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine
|November 19, 2016
PubMed
Summary
This summary is machine-generated.

Minimizing patient attrition in multisite emergency care studies is crucial for research validity. This study details a stepwise approach achieving a low 30-day follow-up attrition rate of less than 3%.

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Area of Science:

  • Emergency Medicine
  • Clinical Research Methodology
  • Epidemiology

Background:

  • Patient attrition (loss to follow-up) significantly threatens the validity and statistical power of clinical studies.
  • Multicenter emergency care research, often conducted through networks, faces unique challenges in minimizing patient attrition.
  • Limited research has described effective strategies for reducing attrition in large-scale, multicenter emergency department studies.

Purpose of the Study:

  • To describe a stepwise approach for minimizing patient attrition in multisite emergency care research.
  • To present a case example of a successful implementation of these strategies in a large prospective cohort study.

Main Methods:

  • A prospective cohort study enrolled over 3,000 patients in emergency departments across multiple sites.
  • Key strategies included careful patient selection, robust baseline contact information collection, patient incentives, and multi-pronged patient tracking methods.
  • Centralized phone banks, local site support, and continuous performance monitoring were employed to maintain follow-up.

Main Results:

  • The study achieved a 30-day direct phone follow-up attrition rate of less than 3%.
  • Seven core areas of focus were identified and implemented to minimize patient loss to follow-up.
  • The described methods proved effective in a large, real-world emergency care research setting.

Conclusions:

  • Implementing a structured, stepwise approach is effective in minimizing patient attrition in multisite emergency care studies.
  • Proactive strategies focusing on patient engagement and data integrity are essential for maintaining study validity.
  • Consideration of attrition-minimization methods during the study design phase is a worthwhile investment for improving research outcomes.