Development and acceptability of a mobile health application integrated with the electronic heath record for treatment of chronic insomnia disorder.

STUDY OBJECTIVES: To describe the development and feasibility of a cognitive behavioral therapy for insomnia (CBT-I) program delivered via personal digital devices and fully integrated with the electronic health record (EHR). METHODS: A multidisciplinary team of clinicians and members of our Center for Digital Health collaborated to develop a Chronic Insomnia Interactive Care Plan (ChI-ICP), an application that provides personalized and just in time education and promotes self-management using CBT-I concepts, and is activated from and fully integrated into the EHR. Following development, we evaluated patient engagement and workflows, assessed changes to provider workload, and examined outcomes on measures of insomnia during a pilot deployment of the application. RESULTS: A total of 222 patients were enrolled and 179 engaged with the plan during the 3-month pilot program. Enrolled patients generated an average of 3.9 ± 2.3 In Basket messages, most being automated notifications related to noncompletion of assigned tasks, while only a few were related to patients requesting additional training or help with insomnia. Sleep efficiency improved from baseline until the completion of the program from 74.5% ± 16.7% to 87.6% ± 10.8% (P = .001), and the Insomnia Severity Index improved from 14.9 ± 5.22 to 11.6 ± 4.80 (P = .006). CONCLUSIONS: In this pilot implementation of an integrated ChI-ICP, patient engagement was favorable, workflows and workload were not significantly burdensome for the care teams, and initial evaluation of efficacy was favorable. This provides evidence for an application that is a scalable method to assist patients with chronic insomnia and future work should assess its efficacy in controlled trials. CITATION: Morgenthaler TI, Kolla BP, Anderson SE, et al. Development and acceptability of a mobile health application integrated with the electronic heath record for treatment of chronic insomnia disorder. J Clin Sleep Med. 2022;18(12):2785-2792.

Intestinal dysmotility in a zebrafish (Danio rerio) shank3a;shank3b mutant model of autism.

Background and aims: Autism spectrum disorder (ASD) is currently estimated to affect more than 1% of the world population. For people with ASD, gastrointestinal (GI) distress is a commonly reported but a poorly understood co-occurring symptom. Here, we investigate the physiological basis for GI distress in ASD by studying gut function in a zebrafish model of Phelan-McDermid syndrome (PMS), a condition caused by mutations in the SHANK3 gene. Methods: To generate a zebrafish model of PMS, we used CRISPR/Cas9 to introduce clinically related C-terminal frameshift mutations in shank3a and shank3b zebrafish paralogues (shank3abΔC). Because PMS is caused by SHANK3 haploinsufficiency, we assessed the digestive tract (DT) structure and function in zebrafish shank3abΔC+/- heterozygotes. Human SHANK3 mRNA was then used to rescue DT phenotypes in larval zebrafish. Results: Significantly slower rates of DT peristaltic contractions (p < 0.001) with correspondingly prolonged passage time (p < 0.004) occurred in shank3abΔC+/- mutants. Rescue injections of mRNA encoding the longest human SHANK3 isoform into shank3abΔC+/- mutants produced larvae with intestinal bulb emptying similar to wild type (WT), but still deficits in posterior intestinal motility. Serotonin-positive enteroendocrine cells (EECs) were significantly reduced in both shank3abΔC+/- and shank3abΔC-/- mutants (p < 0.05) while enteric neuron counts and overall structure of the DT epithelium, including goblet cell number, were unaffected in shank3abΔC+/- larvae. Conclusions: Our data and rescue experiments support mutations in SHANK3 as causal for GI transit and motility abnormalities. Reductions in serotonin-positive EECs and serotonin-filled ENS boutons suggest an endocrine/neural component to this dysmotility. This is the first study to date demonstrating DT dysmotility in a zebrafish single gene mutant model of ASD.