Paediatric & Neonatal Pain (Sep 2024)
Digital tools for assessing chronic pain in children (5–11 years): Systematic review
Abstract
Abstract Pediatric chronic pain places a significant burden on children, their families, and healthcare services. Effective pain measurement is needed for both clinical management and research. Digital pain measurement tools have been developed for adult and adolescent populations however less is known about measurement in younger children. In this systematic review, we aimed to identify, describe, and evaluate (in terms of acceptability) digital tools for the assessment of chronic pain in children (5–11 years). We searched five databases (Cochrane Library, EMBASE, MEDLINE, PsycINFO, and CINAHL), between January 2014 and January 2022. We included empirical studies which included digital tool/s to assess pain in children aged between 5–11 years with chronic pain conditions. We independently double‐screened the papers to determine eligibility. We followed PRISMA guidelines for reporting. A total of five papers, covering four digital tools, were included. The digital tools used ranged from a static online survey to a highly interactive, personalized tablet application. Two studies were cross‐sectional and two collected longitudinal pain data via electronic devices outside the clinical setting. Digital features of the tools included: dynamic testing (n = 2), notifications/prompts (n = 1), data transmission (n = 1), remote monitoring (n = 1), accessibility (n = 1), data visualization/feedback (n = 1), personalization/customization (n = 1), gamification (n = 1) and data labeling (n = 1). Qualitative usability data was only available for one of the tools, which indicated its acceptability and highlighted preferred features/functions by child users (creative and personalizable features, gamification features), and parental users (symptom tracking). This review has highlighted the limited number of digital assessment tools available for children with chronic pain aged 5–11. This review identified some examples of technology enabling the capture of longitudinal, repeated measurement of multiple dimensions of pain (intensity, location, quality). We suggest directions for future research.
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