0492 FAmily Burden and KIDs' Sleep (FAB-KIDS); Pediatric Sleep Disorders Impact on Family: A retrospective study. (25th May 2022)

• Record Type: Journal Article
• Authors: Blaty, Justin; Chen, Maida
• Is Part Of: Sleep. Volume 45(2022)Supplement 1
• Page Start: A218
• Page End: A218
• Publication Date: 2022-05-25
• Subjects: Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsac079.489
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Introduction: Little is known about the far-reaching impacts of pediatric sleep difficulties on family function, though widely thought to be a common reason to seek care, few pediatric sleep centers have adequate support resources for families. Valid, reliable instruments, including the Revised Impact On Family Scale (RIOFS), exist which can be used to reflect the psychological and social impact chronic childhood illness have on family life. We aim to assess the relationship between impact on life related to pediatric sleep disorders. Methods: Retrospective chart review. Data from medical records, sleep study reports, and RIOFS results were extracted from children undergoing clinically ordered polysomnography at a tertiary pediatric sleep center. IRB approval was obtained. Preliminary data from 91 children were analyzed with descriptive and correlational statistics. The RIOFS is a 15 item Likert scale questionnaire with possible scores of 15-60; higher scores equate higher family stress. Results: Of the 91 subjects, 44% were girls. Average age at time of study was 8.9 (+/-5.4) years. Study types were 85% PSG, 15% titration. Average BMI percentile was 74%. Mean RIOFS score =28 (+/-9.8, 15-60). Initial correlation of RIOFS total score to PSG metrics did not show a significant correlation between hypothesized factors such as oAHI and RIOFS score (r 0.009, CI [-0.163, 0.182], p=0.927) or Sleep Efficiency (r 0.054, CI [-0.152, 0.256], p=0.609). Preliminary review suggests that the specific question on fatigue has the strongest correlation with increased AHI (r -0.171, CI [-0.047, 0.005], p=0.11). Conclusion: In a cohort of patients referred to pediatric sleep lab, mean RIOFS total score was 28. For reference, mean total score for children with Autism Spectrum Disorder =31; with rare metabolic disorders =36.5; at home with tracheostomy and ventilator =40. Our data and published comparisons suggest high levels of family stress in patients referred for sleep studies. Supporting families with clinical social work, psychologists, therapists is key to delivery of effective family-centered care models. With ongoing study, identifiable sleep factors which may predict the highest RIOFS score may be identified. Future research is needed to investigate the best delivery of these services to this high-risk population Support (If Any):