Use of Smartphones to Prospectively Evaluate Predictors and Outcomes of Caregiver Responses to Pain in Youth with Chronic Disease.

Published

Journal Article

This study examined outcomes and predictors of different types of responses to child pain used by caregivers of youth with chronic disease. Sixty-six children and adolescents (ages 7-18) with juvenile idiopathic arthritis answered questions about pain, pain interference in activities, and mood on a smartphone three times per day for one month, while a caregiver contemporaneously answered questions about their own mood and use of protecting, monitoring, minimizing, or distracting responses to their child's pain. Multilevel models were used to evaluate (a) how a child's pain and pain interference changes after a caregiver uses different types of pain responses; (b) the extent to which caregiver responses to pain vary across days; and (c) whether variability in caregiver responses to pain is predicted by changes in child pain characteristics, child mood, and/or caregiver mood. Results showed that children's pain intensity and pain interference increased following moments when caregivers used more protective responses, whereas children's pain interference decreased following times when caregivers responded with minimizing responses. Caregiver pain responses varied considerably across days, with caregivers responding with more protecting and monitoring responses and fewer minimizing responses at moments when their child reported high levels of pain unpleasantness and pain interference. Caregivers also were found to respond with fewer protective responses at moments when they themselves were in a more positive mood. Implications for clinical recommendations and future studies are discussed.

Full Text

Duke Authors

Cited Authors

  • Connelly, M; Bromberg, MH; Anthony, KK; Gil, KM; Schanberg, LE

Published Date

  • April 2017

Published In

Volume / Issue

  • 158 / 4

Start / End Page

  • 629 - 636

PubMed ID

  • 28009633

Pubmed Central ID

  • 28009633

Electronic International Standard Serial Number (EISSN)

  • 1872-6623

Digital Object Identifier (DOI)

  • 10.1097/j.pain.0000000000000804

Language

  • eng

Conference Location

  • United States