Initial Validation of GRASP: A Differential Diagnoses Algorithm for Children With Medical Complexity and an Unknown

Brenna L Morse1, Jean C Solodiuk2, Christine D Greco2

  • 1Solomont School of Nursing, University of Massachusetts Lowell, Lowell, Massachusetts; brenna_morse@uml.edu.

Hospital Pediatrics
|July 15, 2020
PubMed

Insights

The Guidelines for Ruling Out and Assessing Source of Pain (GRASP) tool shows promise in helping clinicians identify pain sources in children with medical complexity. Initial validation suggests it is clinically effective for guiding evaluations.

Area of Science:

  • Pediatric Medicine
  • Clinical Assessment Tools
  • Pain Management

Background:

  • Identifying pain sources in children with medical complexity (MC) presents significant clinical challenges.
  • Systematic evaluation is crucial to prevent harm and unnecessary interventions for these patients.

Purpose of the Study:

  • To perform the initial validation of the Guidelines for Ruling Out and Assessing Source of Pain (GRASP) tool.
  • To assess the GRASP tool's utility in guiding medical evaluations for pain in children with MC.

Main Methods:

  • A mixed-methods approach was employed, including expert review, focus groups, and web-based surveys.
  • The GRASP tool underwent a trial evaluating its effectiveness in 14 children with MC experiencing pain of unknown origin.

Main Results:

  • Clinicians provided feedback supporting the GRASP tool and suggested organizational improvements, such as a flow diagram format.
  • Survey participants offered recommendations for enhancing the tool's comprehensiveness.
  • The trial indicated the GRASP tool was effective in guiding clinical evaluations for pain in children with MC.

Conclusions:

  • Preliminary evidence supports the GRASP tool's content and face validity for evaluating pain sources in children with MC.
  • The GRASP tool offers a systematic approach to pain evaluation, aiming to identify the source, prevent harm, and reduce suffering through judicious testing.
Abstract