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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 27, 2022
Open Peer Review Period: Dec 5, 2022 - Dec 22, 2022
Date Accepted: Jun 29, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

A Web-Based Instrument for Infantile Atopic Dermatitis Identification (Electronic Version of the Modified Child Eczema Questionnaire): Development and Implementation

Fang H, Chen L, Li J, Ren L, Yu Y, Chen D, Yin H, Liu E, Hu Y, Luo X

A Web-Based Instrument for Infantile Atopic Dermatitis Identification (Electronic Version of the Modified Child Eczema Questionnaire): Development and Implementation

J Med Internet Res 2023;25:e44614

DOI: 10.2196/44614

PMID: 37467020

PMCID: 10398555

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Developing and validating an identification tool for infantile atopic dermatitis based on smartphones: web-based survey pilot study

  • Heping Fang; 
  • Lin Chen; 
  • Juan Li; 
  • Luo Ren; 
  • Yin Yu; 
  • Danleng Chen; 
  • Huaying Yin; 
  • Enmei Liu; 
  • Yan Hu; 
  • Xiaoyan Luo

ABSTRACT

Background:

Atopic dermatitis (AD) is a chronic inflammatory skin disease that affects 30.48% of young children. Epidemiological studies need to be conducted in the community. Web-based questionnaire (WBQ) surveys are more convenient, time-saving, and efficient than traditional surveys, but it remains unknown whether AD can be identified without the attendance of doctors in WBQ surveys.

Objective:

The aim of this study was to test the possibility of conducting WBQ surveys without the attendance of doctors, and to develop and validate an electronic version of modified child eczema questionnaire (eCEQ) based on a smartphone to identify infantile AD.

Methods:

This study was divided into two phases. Phase One investigated 205 children under 2 years old to develop and validate the eCEQ by comparison with the diagnoses of dermatologists. Phase Two recruited 1375 children under 2 years old to verify the prevalence obtained by the eCEQ by comparison with the prevalence published previously.

Results:

In Phase One, 195 questionnaires were analyzed with a median age of 8.8 (4.5, 15.0) months. The identification value of eCEQ in appropriate rules was acceptable (logic rule: sensitivity 89.2%, specificity 91.5%, positive predictive value 97.1%, negative predictive value 72.9%; statistic rule: sensitivity 90.5%, specificity 89.4%, positive predictive value 96.4%, negative predictive value 75.0%). In Phase Two, 837 questionnaires were analyzed with a median age of 8.4 (5.2, 14.6) months. The prevalence of infantile AD obtained by eCEQ (logic rule) was 31.9% (267/837) which was close to the published prevalence (30.48%).

Conclusions:

Infantile AD can be identified without the attendance of doctors through WBQ surveys. The eCEQ can be easily applied to epidemiological studies and provides acceptable reliability of identification. It can also be applied to the field of public health to improve the health awareness of the general population.


 Citation

Please cite as:

Fang H, Chen L, Li J, Ren L, Yu Y, Chen D, Yin H, Liu E, Hu Y, Luo X

A Web-Based Instrument for Infantile Atopic Dermatitis Identification (Electronic Version of the Modified Child Eczema Questionnaire): Development and Implementation

J Med Internet Res 2023;25:e44614

DOI: 10.2196/44614

PMID: 37467020

PMCID: 10398555

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