Design and implementation of a decision aid for juvenile idiopathic arthritis medication choices

William B Brinkman1, Ellen A Lipstein2, Janalee Taylor2

  • 1Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA. Bill.Brinkman@cchmc.org.

Insights

Developing a patient decision aid for juvenile idiopathic arthritis showed high parent satisfaction but faced implementation challenges in routine pediatric care. Further innovation is needed for effective decision aid use and outcome assessment.

Area of Science:

  • Pediatric Rheumatology
  • Health Services Research
  • Shared Decision Making

Background:

  • Patient decision aids improve shared decision making when multiple treatment options exist.
  • Implementation of decision aids in routine pediatric care is challenging and slow.
  • A decision aid for juvenile idiopathic arthritis treatment was developed and implemented.

Purpose of the Study:

  • To develop a patient decision aid for treating children with juvenile idiopathic arthritis.
  • To reliably implement this decision aid into routine clinical practice.
  • To assess the impact of the decision aid on shared decision making and parental uncertainty.

Main Methods:

  • Stakeholder collaboration (patients, parents, clinicians) to design the decision aid.
  • Quality improvement methods used across six pediatric rheumatology sites for implementation.
  • Parent surveys collected post-visit to evaluate decision aid use, shared decision making, and uncertainty.

Main Results:

  • Decision aid design finalized after 18 revision rounds with positive end-user feedback.
  • Decision aid used in 35% of relevant visits; clinicians used it as intended in 68% of those instances.
  • No significant difference in reported shared decision making or uncertainty between visits with and without the decision aid.

Conclusions:

  • High user acceptability of the decision aid was observed.
  • Reliable implementation into routine clinical care presented significant challenges.
  • Current outcome assessment methods may not adequately capture the benefits of decision aids.
Abstract

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