ADVERTISEMENT

Issue Navigator

Volume 15 No. 03
Earn CME
Accepted Papers
Classifieds





Scientific Investigations

The Use of Computer Decision Support for Pediatric Obstructive Sleep Apnea Detection in Primary Care

Sarah M. Honaker, PhD1,2; Ashley Street, MS2; Ameet S. Daftary, MD, MS1; Stephen M. Downs, MD, MS2
1Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; 2Children's Health Services Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana

Study Objectives:

To (1) describe outcomes from a computer decision support system (CDSS) for pediatric obstructive sleep apnea (OSA) detection in primary care; and (2) identity the prevalence of children meeting criteria for an OSA referral.

Methods:

A CDSS for OSA was implemented in two urban primary care clinics. Parents of children (age 2 to 11 years) presenting to the clinic were asked if their child snored regularly, with a positive response resulting in six additional OSA screening items. Primary care providers (PCPs) received a prompt for all snoring children, listing applicable OSA signs and symptoms and recommending further evaluation and referral for OSA.

Results:

A total of 2,535 children were screened for snoring, identifying 475 snoring children (18.7%). Among snoring children, PCPs referred 40 (15.4%) for further evaluation. The prevalence of additional OSA signs and symptoms ranged from 3.5% for underweight to 43.7% for overweight. A total of 74.7% of snoring children had at least one additional sign or symptom and thus met American Academy of Pediatrics guidelines criteria for an OSA referral.

Conclusions:

A CDSS can be used to support PCPs in identifying children at risk for OSA. Most snoring children met criteria for further evaluation. It will be important to further evaluate this referral threshold as well as the readiness of the sleep medicine field to meet this need.

Clinical Trials Registration:

Registry: ClinicalTrials.gov, Title: Evidence-based Diagnosis and Management of Pediatric Obstructive Sleep Apnea in Primary Care, Identifier: NCT02781376, URL: https://clinicaltrials.gov/ct2/show/NCT02781376

Citation:

Honaker SM, Street A, Daftary AS, Downs SM. The use of computer decision support for pediatric obstructive sleep apnea detection in primary care. J Clin Sleep Med. 2019;15(3):453–462.




Please login to continue reading the full article

Subscribers to JCSM get full access to current and past issues of the JCSM.

Login to JCSM

Not a subscriber?

Join the American Academy of Sleep Medicine and receive a subscription to JCSM with your membership

Subscribe to JCSM:  $75/volume year for individuals or $140/volume year for institutions to access all current articles and archives published in JCSM.

Download this article*:   $20 to access a PDF version of a specific article from the current issue of JCSM.

*Purchase of an electronic download of JCSM provides permission to access and print the issue/article for personal scholarly, research and educational use. Please note: access to the article is from the computer on which the article is purchased ONLY. Purchase of the article does not permit distribution, electronic or otherwise, of the article without the written permission of the AASM. Further, purchase does not permit the posting of article text on an online forum or website.