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

Hosp Pediatr. 2020 Aug;10(8):633-640. doi: 10.1542/hpeds.2019-0322. Epub 2020 Jul 13.

Abstract

Objectives: Identifying the source of pain for children with medical complexity (MC) is challenging. The purpose of this study was the initial validation of a tool to guide the medical evaluation for identifying the source of pain in children with MC by using differential diagnoses. The tool is entitled Guidelines for Ruling Out and Assessing Source of Pain (GRASP).

Methods: A mixed-methods approach that included expert review, focus groups, Web-based surveys, and a trial of the GRASP was used to determine validity as well as perceived clinical utility.

Results: Focus groups were held with 26 inpatient and outpatient clinicians. Participants consistently responded in support of the GRASP. Participants advised several suggestions for tool organization such as designing the tool as a flow diagram. Seven clinicians participated in Web-based surveys and made specific suggestions for making the GRASP more comprehensive. Six participants trialed the GRASP for 14 children with MC and pain of unknown origin. Overall, participants found that the GRASP was a clinically effective tool for guiding medical evaluation.

Conclusions: These results provide preliminary evidence that the GRASP has content and face validity in evaluating the source of pain in children with MC. This tool can be used to systematically guide clinicians through a balanced approach to evaluation with a goal of determining the pain source, preventing harm, and relieving suffering without unnecessary tests.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Child
  • Diagnosis, Differential
  • Humans
  • Pain Measurement
  • Pain* / diagnosis
  • Reproducibility of Results