Reliability and validity of the Atopic Dermatitis Symptom Score (ADSS)

Pediatr Allergy Immunol. 2018 May;29(3):290-295. doi: 10.1111/pai.12865. Epub 2018 Feb 25.

Abstract

Background: We have developed the Atopic Dermatitis Symptom Score (ADSS) by which patients or parents can easily assess and record AD symptoms on a daily basis in a smartphone application. The aim of this study was to evaluate the reliability and validity of the ADSS.

Methods: We enrolled 307 children and adolescents with AD. Parents or caregivers were asked to record daily symptoms of the patients (itching, sleep disturbance, erythema, dryness, oozing, and edema) using a scale of 0-4. Statistical analyses consisted of the test-retest reliability, concurrent validity, minimal clinically important difference (MCID), responsiveness, floor or ceiling effects, and screening accuracy. Receiver-operating characteristic analyses were conducted to evaluate the ADSS cutoff point for predicting severe AD (SCORing AD [SCORAD] ≥40).

Results: Test-retest reliability between daytime and night-time ADSS was good (intraclass correlation coefficient, 0.82 [95% CI: 0.70-0.90]). An increase in ADSS was significantly associated with an increase in SCORAD (r = 0.64, P < .0001) (concurrent validity). The MCID was 4.1 points for the ADSS. There was a significant association between changes in ADSS and SCORAD (r = 0.56, P < .0001), indicating good responsiveness. At the optimal ADSS cutoff value of 7.0, sensitivity, specificity, and positive and negative predictive values were 88.4%, 78.6%, 21.1%, and 99.1%, respectively (screening accuracy).

Conclusions: The ADSS can be a useful tool for self-assessment of skin symptoms in children with AD.

Keywords: assessment; atopic dermatitis; reliability; severity; validity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Caregivers
  • Child
  • Child, Preschool
  • Dermatitis, Atopic / diagnosis*
  • Female
  • Humans
  • Infant
  • Longitudinal Studies
  • Male
  • Mass Screening / methods*
  • Mobile Applications
  • Parents
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Smartphone