A Novel mHealth Intervention to Improve Outcomes of Children With Medical Complexity

Children with medical complexity (CMC) have complex, multisystem chronic diseases, neurological impairments with marked intellectual/physical disabilities, functional limitations, technology dependencies, high medical fragility, and account for 35% of all pediatric US health care costs. Compared to typically developing children, CMC have frequent acute health deteriorations, leading to recurrent emergency department (ED)/hospital visits. CMC have significant daily care needs, requiring continuous care at home and substantial care coordination. Care coordination programs exist to support CMC's daily care needs, including medical homes, home health care, hospital-to-home transition, and complex care services. Observational studies of these programs report some reductions in admissions, length of stay and costs. Despite these care coordination programs, CMC continue to have frequent acute deteriorations of their health that affect their quality of life (QOL) and lead to recurrent ED/hospital admissions, many of which are avoidable with early detection and intervention. Remote monitoring with support of mHealth apps has been suggested to improve CMC care, QOL, and help reduce their ED/hospital admissions. This can be done via regular assessment of CMC's health status and detection of early signs of deteriorations to prompt early interventions. Unfortunately, no remote monitoring app for CMC exists. Available remote monitoring apps target primarily non-complex single chronic conditions (e.g. asthma, diabetes). Variable, multisystem conditions make it difficult to develop a remote monitoring app for CMC. ED/hospital admissions for CMC are often preceded by a limited set of shared (crosscutting) acute symptoms: fever, respiratory distress with decreased oxygenation, feeding/fluid intolerance, altered mental status (sometimes seizures), and pain. These symptoms rarely occur suddenly. Studies suggest that they usually start as subtle signs (e.g. change in vital signs), often unnoticed by parents until they escalate to prompt an ED/ hospital visit. Thus, crosscutting symptoms provide an opportunity for a novel and practical approach for remote monitoring. In a focus group we conducted, CMC parents identified these crosscutting symptoms preceding most of their CMC's admissions. They also conveyed their needs, preferences and key functionalities that led to MyChildCMC, the first app for CMC remote monitoring, which has: 1) automated daily reminders, 2) crosscutting symptom monitoring, 3) automated feedback, 4) automated reporting with graphs, and 5) automated alerts. In a 3-month pilot trial of 50 CMC randomized to MyChildCMC (n=24) or usual care (n=26) our team conducted, MyChildCMC use by parents showed high feasibility (high participation, adherence and retention), ability to detect early signs of crosscutting symptoms 2-14 days prior to most ED/hospital admissions, fewer hospital days, and higher parent satisfaction than controls. But, MyChildCMC's efficacy for ED/hospital admissions has yet to be demonstrated in a fully powered study (pilot was not powered for number of ED/hospital admissions). The proposed multicenter study will test MyChildCMC's efficacy in a 6-month trial in which 360 CMC (age 1-18 years) and parents will be randomly assigned to MyChildCMC or usual care. Both groups will receive financial incentive for participating. Those randomized to MyChildCMC will use the app daily for 6 months to monitor their child's crosscutting symptoms and receive immediate feedback. Alerts for early signs of deteriorating CMC's health will be sent to parents, and their clinic care coordinators (or heath care providers) for follow-up. At end of 6 months, we will stop the incentive and follow subjects for 6 more months to assess sustainability at 12 months. We will also assess if MyChildCMC use helps reduce or eliminate inequities in ED/hospital admissions. CMC are at-risk for inequities as many CMC families report higher financial and social hardships, with minorities having higher unmet needs. Continuous attention to CMC's medical needs and caregiving can lead to high parental stress. Recurrent health deteriorations and admissions contribute to parent work disruptions, work loss, and poverty, compromising family's wellbeing. Though social determinants of health (SDOH) contribute to health inequities, impacts of apps on SDOH inequities in CMC have not been studied. Our Specific Aims are: Aim 1: Determine MyChildCMC's impact on 1.a. Child (ED/hospital use, hospital days and QOL) and 1.b. Parent (satisfaction, self-efficacy and stress) outcomes. H1. MyChildCMC users will have less ED/hospital use and hospital days, higher child's QOL, higher satisfaction, higher caregiving self-efficacy, and lower stress. Aim 2: Compare ED/Hospital use among racial/ethnic and SDOH subgroups to assess potential effect of MyChildCMC on inequities. H2: ED/Hospital use will be reduced with MyChildCMC use vs controls in each subgroup, and inequities eliminated in racial/ethnic minority/disadvantaged subgroups with high use adherence. Significance: Our study is based on promising pilot data supporting the feasibility of CMC remote monitoring. If efficacious, it will be a new model for improving care, reducing/eliminating inequities in disadvantaged subgroups and reducing ED/Hospital admissions in CMC, generalizable to all children with multiple chronic conditions.