Severe illness getting noticed sooner - SIGNS-for-Kids: developing an illness recognition tool to connect home and

Jonathan Gilleland1, David Bayfield2, Ann Bayliss3,4

  • 1Department of Pediatrics, Section of Pediatric Intensive Care Medicine, Alberta Children's Hospital, Calgary, Alberta, Canada.

BMJ Open Quality
|December 6, 2019
PubMed

Insights

Parents and caregivers can now use the SIGNS-for-Kids tool to recognize severe illness in children. This tool aims to improve early detection and reduce delays in critical pediatric treatment.

Area of Science:

  • Pediatric Emergency Medicine
  • Child Health Surveillance
  • Healthcare Accessibility

Background:

  • Delays in treating acute pediatric illnesses contribute to mortality and morbidity in Canada.
  • Existing healthcare systems face challenges in timely diagnosis of severe childhood conditions.
  • Empowering caregivers with recognition tools is crucial for pediatric emergency care.

Purpose of the Study:

  • To develop the SIGNS-for-Kids illness recognition tool for parents and caregivers.
  • To enhance the ability of non-medical personnel to identify severe illness in infants and children.
  • To reduce the time to treatment for acute pediatric conditions requiring emergent medical attention.

Main Methods:

  • A consensus workshop was conducted with 17 parents and multidisciplinary healthcare experts.
  • The workshop focused on developing a tool for recognizing severe acute pediatric illnesses.
  • An a priori agreement of ≥85% was set for the final tool elements.

Main Results:

  • A five-item SIGNS-for-Kids tool was developed with 100% consensus.
  • The tool includes child-based items: behavior, breathing, skin, fluids, and response to rescue treatments.
  • The tool was distilled from 20 initial items during the workshop.

Conclusions:

  • The SIGNS-for-Kids tool empowers lay caregivers to recognize critical illness signs in children.
  • The tool aims to improve early detection and facilitate prompt medical attention.
  • Further validation and optimization of the SIGNS-for-Kids tool are planned for future research.
Abstract