A randomized controlled trial of an interactive voice response telephone system and specialist nurse support for

Cathy Xu1, Mary Jackson, Paul A Scuffham

  • 1Centre for Online Health, The University of Queensland, School of Medicine, Brisbane, Queensland 4102, Australia. c.xu@uq.edu.au

Insights

Automated systems and nurse support for pediatric asthma did not significantly reduce healthcare use or improve quality of life. However, both interventions showed potential cost savings for the health system.

Area of Science:

  • Pediatric Pulmonology
  • Health Services Research
  • Digital Health Interventions

Background:

  • Asthma management in children requires effective strategies to reduce healthcare utilization and improve quality of life.
  • Automated Interactive Voice Response (IVR) systems and Specialist Nurse Support are potential tools for enhancing asthma care.

Purpose of the Study:

  • To evaluate the impact of IVR and Specialist Nurse Support on healthcare utilization and health-related quality of life (HRQOL) in children with asthma.
  • To assess the cost-effectiveness of these interventions compared to usual care.

Main Methods:

  • A randomized controlled trial involving 121 children (3-16 years) with asthma.
  • Interventions included 6 months of asthma education and management support via IVR, Specialist Nurse contact, or usual care.
  • Outcomes measured: healthcare utilization, oral steroid rescue use, and HRQOL using validated questionnaires.

Main Results:

  • No statistically significant differences were found in healthcare utilization, oral steroid rescue use, or HRQOL between intervention groups and the control group.
  • Both IVR and Nurse Support interventions were associated with potential cost savings from a health system perspective.
  • The cost-effectiveness was most sensitive to changes in hospital admission frequency.

Conclusions:

  • While not improving clinical outcomes or HRQOL in this pilot, IVR and Specialist Nurse Support may offer cost-saving benefits.
  • Further research with larger sample sizes and longer follow-up is warranted to confirm these findings.
Abstract

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