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

Diagnosis of sleep disorders in child healthcare settings

OBJECTIVES

Sleep disorders impact at least 10 % of children, pose risks to overall wellbeing, and are key targets of preventive interventions. The objectives of this study were to describe the prevalence of pediatric sleep disorder diagnoses across sociodemographic characteristics and co-occurring conditions, and to explore potential sociodemographic disparities.

METHODS

Cross-sectional analysis of 12,394,902 children (0-17 years; 50.9 % Medicaid-insured) in the 2017 MarketScan database. Prevalence was assessed utilizing ICD-10 codes, with multivariate logistic regressions examining disparities (insurance coverage; race and ethnicity in Medicaid-insured) for diagnoses in ≥0.10 % of children.

RESULTS

The prevalence of sleep disorder diagnoses was 2.36 %. The most common diagnoses were obstructive sleep disordered breathing (oSDB, 1.17 %), unspecified sleep disorders (0.64 %), insomnia (0.52 %), and other SDB (0.10 %), with <0.10 % for all other diagnoses. Insomnia and parasomnias diagnoses were much lower than diagnostic estimates. Sleep diagnoses were more prevalent in Medicaid versus commercially insured youth, 2-5-year-olds, and in children with co-occurring medical, neurodevelopmental, or behavioral health conditions. Girls and boys were generally equally likely to be diagnosed with any sleep disorder. In Medicaid-insured children, white children were more likely to have any sleep diagnosis compared to all other racial and ethnic groups. Black/African American children were more likely than white children to have oSDB.

CONCLUSIONS

Compared to diagnostic estimates, claims data suggest sleep disorders are under-diagnosed, with notable sociodemographic disparities. Findings suggest a need for clinical resources to identify and address sleep disorders and to understand biases potentially driving disparities, given that sleep is a modifiable determinant of child wellbeing.

Oral appliance therapy and hypoglossal nerve stimulation as non-positive airway pressure treatment alternatives for obstructive sleep apnea: a narrative expert review

This perspective on alternatives to positive airway pressure (PAP) therapy for the treatment of obstructive sleep apnea (OSA) summarizes the proceedings of a focus group that was conducted by the Sleep Research Society Foundation. This perspective is from a multidisciplinary panel of experts from sleep medicine, dental sleep medicine, and otolaryngology that aims to identify the current role of oral appliance therapy and hypoglossal nerve stimulation for the treatment of OSA with emphasis on the US practice arena. A secondary aim is to identify-from an implementation science standpoint-the various barriers and facilitators for adoption of non-PAP treatment that includes access to care, multidisciplinary expertise, reimbursement, regulatory aspects, current treatment guidelines, health policies, and other factors related to the delivery of care. The panel has contextualized the review with recent events-such as a large-scale PAP device recall compounded by supply chain woes of the pandemic-and emerging science in the field of OSA and offers solutions for multidisciplinary approaches while identifying knowledge gaps and future research opportunities.

Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record-based clinical notes prior to model training

Introduction

Pediatric sleep problems can be detected across racial/ethnic subpopulations in primary care settings. However, the electronic health record (EHR) data documentation that describes patients' sleep problems may be inherently biased due to both historical biases and informed presence. This study assessed racial/ethnic differences in natural language processing (NLP) training data (e.g., pediatric sleep-related keywords in primary care clinical notes) prior to model training.

Methods

We used a predefined keyword features set containing 178 Peds B-SATED keywords. We then queried all the clinical notes from patients seen in pediatric primary care between the ages of 5 and 18 from January 2018 to December 2021. A least absolute shrinkage and selection operator (LASSO) regression model was used to investigate whether there were racial/ethnic differences in the documentation of Peds B-SATED keywords. Then, mixed-effects logistic regression was used to determine whether the odds of the presence of global Peds B-SATED dimensions also differed across racial/ethnic subpopulations.

Results

Using both LASSO and multilevel modeling approaches, the current study found that there were racial/ethnic differences in providers' documentation of Peds B-SATED keywords and global dimensions. In addition, the most frequently documented Peds B-SATED keyword rankings qualitatively differed across racial/ethnic subpopulations.

Conclusion

This study revealed providers' differential patterns of documenting Peds B-SATED keywords and global dimensions that may account for the under-detection of pediatric sleep problems among racial/ethnic subpopulations. In research, these findings have important implications for the equitable clinical documentation of sleep problems in pediatric primary care settings and extend prior retrospective work in pediatric sleep specialty settings.

The Feasibility of Screening for Sleep Problems in Early Childhood Education Programs

OBJECTIVES

Assess the feasibility and staff experience of screening for behavioral sleep problems (BSP) and sleep disordered breathing (SDB) in early childhood education (ECE) settings; examine BSP/SDB prevalence and caregivers' knowledge/attitudes, perception of child sleep problems, and sleep health engagement in this sample.

METHOD

Eight staff representatives from four ECE sites involved with sleep problem screening procedures within a larger RCT on ECE sleep health, discussed their experiences in a focus group; transcript content reviewed. A random subset of caregiver-child dyads (n = 59) from the four ECE sites completed sleep problem measures (BSP: Children's Sleep Habits Questionnaire, Short form [SF-CSHQ], Tayside Children's Sleep Questionnaire [TCSQ-sleep disturbance and difficulty] and SDB: Pediatric Sleep Questionnaire [PSQ], in addition to RCT measures (Parent Knowledge/Attitude/Self-efficacy/Beliefs survey and sleep health goals). Caregiver sleep health engagement was measured by the sleep health goals set.

RESULTS

ECE staff reported sleep problem screening as self-explanatory and doable but sometimes administratively burdensome. BSPs were identified in 44% (SF-CSHQ) to 63% (TCSQ-sleep disturbance) of children; SDBs in 13%. Only 11% of caregivers endorsed their child having a sleep "difficulty" (TCSQ). Sleep health goals were set by 85% of caregivers; 63% employed educational materials' language.

CONCLUSION

Sleep problem screening in ECE is feasible, and problems are elicited. While caregivers readily engage in setting healthy sleep goals, few endorse sleep as difficult. ECE education could improve caregiver understanding/recognition of sleep problems.

Disparities in Sleep-Disordered Breathing: Upstream Risk Factors, Mechanisms, and Implications

Sleep-disordered breathing (SDB) refers to a spectrum of disorders ranging from habitual snoring without frank episodes of obstructed breathing or desaturation during sleep to obstructive sleep apnea, where apneas and hypopneas repetitively occur with resultant intermittent hypoxia, arousal, and sleep disruption. Disparities in SDB reflect its overall high prevalence in children and adults from racially and ethnically minoritized or low socioeconomic status backgrounds coupled with high rates of underdiagnosis and suboptimal treatment.

“It made all the difference”: a qualitative study of parental experiences with pediatric obstructive sleep apnea detection

STUDY OBJECTIVES

To assess parental experience of their child's obstructive sleep apnea (OSA) detection process and inform the development of interventions and health communication strategies to improve OSA detection.

METHODS

Semistructured interviews were conducted with 30 parents of children (ages 3-14) who snored and were referred for an overnight polysomnogram (PSG). Parents (60.0% Black race, 93.3% mothers) described how their child was referred for PSG and their perceptions and feelings throughout the detection process. Parents also completed an OSA knowledge measure. Interview data were analyzed using a descriptive approach and thematic analysis was conducted using the NVivo 12 software system.

RESULTS

Twenty-one themes were identified across 5 categories (first steps; PSG facilitators and barriers; health information; health care experiences; parent experiences). Respondents experienced multiple pathways to OSA detection, with more than half of referrals initiated by parental concerns (vs. screening efforts). Parents reported a willingness to take any necessary steps to help their child. Both barriers and facilitators to completing a PSG were described. Parents observed both nighttime and daytime symptoms related to OSA in their child but often did not connect the symptoms to each other until later in the process. Participants had varying degrees of OSA knowledge, with a mean knowledge score of 56% correct (range 10%-90% correct).

CONCLUSIONS

Parental experiences highlight aspects of the health care system that are both effective and ineffective in detecting children with OSA. Implications include a need for strategies to promote timely detection and to provide parents with accurate information about pediatric OSA.

CITATION

Honaker SM, Gopalkrishnan A, Brann M, Wiehe S, Clark AA, Chung A. "It made all the difference": a qualitative study of parental experiences ith pediatric obstructive sleep apnea detection. J Clin Sleep Med. 2022;18(8):1921-1931.

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

Quality of life related to residual snoring after adenotonsillectomy: a pilot study

INTRODUCTION

Few studies have addressed long-term quality of life related to residual snoring after adenotonsillectomy. The aim of this study was to compare scores from the OSA-18 questionnaire between children with residual snoring and non-snoring children two or more years after adenotonsillectomy.

MATERIAL AND METHODS

The sample comprised 25 children divided into two groups, a group of 14 snoring children, and a control group of 11 non-snoring children. The OSA-18 questionnaire was applied to the volunteers. In the control group, it was completed by the caregivers of the children, while in individuals with residual snoring it was completed by the caregivers of children in the presence of a doctor or dentist. A statistical comparison was made using a generalized linear model.

RESULTS

The snorer group had a higher total OSA-18 score, and a higher score in all five domains compared to the control group.

CONCLUSION

Children with residual snoring two or more years after adenotonsillectomy may have a worse quality of life compared to the control group.