Predictors of successful telephone follow-up in a multicenter study of infants with severe bronchiolitis

Vickie Wu1, Nora Abo-Sido2, Janice A Espinola3

  • 1Albany Medical College, Albany, NY.

Insights

Sociodemographic factors like income and insurance predict successful telephone follow-up for infants with severe bronchiolitis. Geographic location and child

Area of Science:

  • Pediatric pulmonology
  • Public health research
  • Clinical epidemiology

Background:

  • Infants hospitalized with severe bronchiolitis require follow-up to assess long-term respiratory issues.
  • Effective telephone follow-up is crucial for data collection in pediatric cohort studies.

Purpose of the Study:

  • To identify sociodemographic and geographic predictors of successful telephone follow-up with parents of infants hospitalized with severe bronchiolitis.
  • To understand factors influencing participant engagement in long-term pediatric respiratory studies.

Main Methods:

  • Prospective cohort study at 17 centers analyzing data from infants under 1 year hospitalized with bronchiolitis.
  • Telephone interviews conducted at 6-month intervals post-discharge, with primary outcome being 12-month interview completion.
  • Analysis of clinical and sociodemographic data, including insurance, income, race/ethnicity, household size, and geographic region.

Main Results:

  • 87% of eligible infants completed the 12-month telephone interview.
  • Successful follow-up was associated with private health insurance, higher household income, and residence in the Northeast, Midwest, or West.
  • Lower follow-up rates were observed among non-Hispanic Black, Hispanic parents, and households with 3 or more children. Female infants had higher follow-up rates.

Conclusions:

  • Sociodemographic characteristics and geographic location significantly predict successful telephone follow-up in this cohort.
  • These findings are important for optimizing participant retention in studies involving infants with severe respiratory illnesses.
  • Tailoring follow-up strategies based on identified predictors may improve data collection in pediatric research.
Abstract