ClinicalTrials.Veeva

Menu

Using Ecological Momentary Assessment to Develop an Adaptive Psychological Intervention for Young Adults With Chronic Pain

Seattle Children's Healthcare System logo

Seattle Children's Healthcare System

Status

Enrolling

Conditions

Chronic Pain

Study type

Observational

Funder types

Other
NIH

Identifiers

NCT06932432
K23AT012901 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

The goal of this observational study is to determine real-time contextual vulnerabilities associated with pain in young adults to inform ideal treatment targets for a just-in-time adaptive intervention (JITAI). The main question it aims to answer is:

-What contextual factors and vulnerabilities will predict momentary, next-day, and weekly pain severity? 50 young adults, ages 18-25 with a diagnosis of childhood-onset primary chronic pain, will complete 1) baseline questionnaires on REDCap to collect data on sociodemographics, medical history and treatment, psychological health (i.e., current mood symptoms and previous psychiatric conditions/treatment), and pain (e.g., duration, location) and 2) a 28-day EMA via mobile app to collect survey data on dynamic factors.

Enrollment

50 estimated patients

Sex

All

Ages

18 to 25 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • ages 18-25
  • diagnosis of childhood-onset chronic pain who were seen for an initial evaluation at Seattle Children's Hospital outpatient specialty clinics.

Exclusion criteria

  • not fluent in English
  • does not have regular access to the internet and access to a smartphone device (to complete EMA questions)
  • presence of chronic disease or serious medical illness (e.g., arthritis, cancer, diabetes)
  • serious cognitive impairment or developmental disorder (e.g., autism, intellectual disability)

Trial contacts and locations

1

Loading...

Central trial contact

Caitlin Murray, PhD

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems