A multicenter randomized trial to compare automatic versus as-needed follow-up for children hospitalized with common

Eric R Coon1, Tom Greene1, Julie Fritz2

  • 1Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.

PubMed

Insights

As-needed follow-up care is as safe and effective as automatic follow-up for children hospitalized with common conditions. This approach may reduce burdens for families and healthcare systems.

Area of Science:

  • Pediatric hospital medicine
  • Health services research
  • Clinical trial methodology

Background:

  • Physicians often recommend automatic follow-up visits for hospitalized children.
  • As-needed follow-up allows families to decide on post-discharge care, potentially reducing burdens.
  • Previous studies show as-needed follow-up is safe for bronchiolitis, but its use in other conditions is unclear.

Purpose of the Study:

  • To compare the safety and effectiveness of as-needed versus automatic follow-up recommendations for children discharged from the hospital.
  • To evaluate the impact of different follow-up strategies on hospital readmissions and healthcare utilization.

Main Methods:

  • The multicenter randomized controlled trial, Follow-up Automatically versus As-Needed Comparison (FAAN-C), enrolled children hospitalized for common conditions.
  • Participants were randomized to receive either an as-needed or automatic follow-up recommendation.
  • The primary outcome was all-cause hospital readmission within 14 days, with secondary outcomes including medical interventions and quality of life.

Main Results:

  • The study is designed to determine if as-needed follow-up is non-inferior to automatic follow-up regarding hospital readmissions.
  • Secondary outcomes will assess differences in medical interventions and child health-related quality of life between the two groups.

Conclusions:

  • The FAAN-C trial will provide crucial data on the optimal strategy for post-hospitalization follow-up in children.
  • Findings will inform clinical practice, family decision-making, and potentially influence national healthcare quality metrics and guidelines.
Abstract