Design and initial results of a programme for routine standardised longitudinal follow-up after congenital heart

Sara K Pasquali1, Chitra Ravishankar2, Jennifer C Romano1

  • 11Congenital Heart Center,University of Michigan C.S. Mott Children's Hospital,Ann Arbor,Michigan,United States of America.

Cardiology in the Young
|February 3, 2017
PubMed

Insights

Long-term follow-up data for pediatric congenital heart surgery patients is challenging but achievable. A collaborative program at CHOP and UM achieved high follow-up rates, demonstrating the feasibility of standardized data collection for improved outcomes.

Area of Science:

  • Pediatric Cardiology
  • Health Outcomes Research
  • Clinical Data Management

Background:

  • Improving long-term outcomes after congenital heart surgery requires robust data collection.
  • Routine longitudinal follow-up data is currently limited and challenging to obtain.
  • A collaborative program was developed to integrate standardized follow-up into routine care.

Purpose of the Study:

  • To describe the development of a standardized longitudinal follow-up program.
  • To report initial results and follow-up rates from two institutions.
  • To assess the feasibility of collecting long-term outcome data in pediatric cardiac surgery patients.

Main Methods:

  • Inclusion of children undergoing benchmark Society of Thoracic Surgeons operations.
  • Description of considerations for personnel, patient engagement, funding, and regulatory issues.
  • Annual data collection and reporting of initial follow-up rates.

Main Results:

  • Analysis included 1737 patients at CHOP and 887 at UM.
  • High follow-up rates achieved: 90.8% at CHOP (median 4.3 years) and 98.3% at UM (median 2.8 years).
  • Standardized questionnaires completed by 80.2% (CHOP) and 78.4% (UM) via phone; 53.4% via automated email pilot.

Conclusions:

  • Standardized follow-up data collection is feasible for most children undergoing benchmark cardiac operations.
  • Automated systems and registry integration can reduce resource needs and facilitate multi-center studies.
  • Improved data collection is crucial for understanding and enhancing long-term outcomes in this population.
Abstract

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