Demographic and Operational Factors Predicting Study Completion in a Multisite Case-Control Study of Preschool

Chyrise B Bradley1, Erica N Browne1, Aimee A Alexander2

  • 1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Insights

Participant completion in autism spectrum disorder research varied by maternal factors like age and education, impacting study validity. Strategies must address these differences for future research on autism risk factors.

Area of Science:

  • Pediatric Research
  • Autism Spectrum Disorder Etiology
  • Epidemiological Studies

Background:

  • Participant attrition poses a significant challenge to the validity and cost-effectiveness of research studies.
  • Understanding factors influencing study completion is crucial for improving data quality and research outcomes.

Purpose of the Study:

  • To identify demographic and administrative factors associated with participant completion in a large, multi-component case-control study of autism spectrum disorder (ASD) risk factors.
  • To inform strategies for enhancing participant retention in developmental and autism research.

Main Methods:

  • A case-control study involving 3,769 preschoolers and their families across multiple US states.
  • Mixed-effects logistic regression models were used to analyze factors predicting completion of various study components.
  • Completion was defined as participation in phone interviews, questionnaires, in-person evaluations, and biologic sampling.

Main Results:

  • Individual study component completion rates exceeded 70%, but only 58% of families completed all per-protocol data elements.
  • Maternal age, race, educational level, travel distance, enrollment contact attempts, and provided phone numbers significantly influenced per-protocol completion (P < 0.05).
  • Autism spectrum disorder case status did not affect completion rates; household income, primary language, and family structure did not show significant differences in a subset analysis.

Conclusions:

  • Participant completion in autism spectrum disorder research is influenced by maternal demographics and logistical factors.
  • Differences in completion based on race and education highlight the need for targeted recruitment and retention strategies.
  • Future research should proactively address identified factors to minimize attrition and enhance the reliability of autism spectrum disorder risk factor studies.

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