Resilience in Families of Children With Autism and Sleep Problems Using Mixed Methods.

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Resilience in Families of Children With Autism and Sleep Problems Using Mixed Methods.

J Pediatr Nurs. 2017 Sep 12;:

Authors: Roberts CA, Hunter J, Cheng AL

Abstract
PURPOSE: About 80% of children with autism spectrum disorder (ASD) have sleep problems that may disrupt optimal family functioning. We explored the impact of sleep problems on families' resilience.
DESIGN AND METHODS: An explanatory sequential mixed methods design was used to discern whether resilience differed between families whose children with ASD have or do not have sleep problems, to seek predictors for family hardiness/resilience, and to determine whether narrative findings support, expand, or conflict quantitative findings.
RESULTS: Seventy complete surveys were returned from parents of children with ASD to compare sleep and family functioning. Fifty-seven children had sleep problems and six interviews regarding eight of these children were conducted. Parents of children with ASD and sleep problems had lower levels of resilience than those who slept well. Predictors of hardiness were social support, coping-coherence (stress management), and lower strain scores. Qualitative content analysis revealed a journey analogy with themes: finding the trailhead, dual pathways, crossing paths and choosing travel companions, forging new paths, resting along the way, and seeing the vistas.
CONCLUSIONS: Qualitative findings supported quantitative findings regarding the impact of sleep problems but also expanded them by illustrating how families' resilience and children's socialization improved over time. Social support predicted family hardiness. Parents revealed that sleep issues contributed to family strains and described their progression to resilience and embracing their child.
PRACTICE IMPLICATIONS: Findings support the need for community and provider advocacy and implicates a need for development of sleep interventions on behalf of families and children with ASD.

PMID: 28916433 [PubMed - as supplied by publisher]

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