Actively Recruiting
A Novel mHealth Intervention to Improve Outcomes of Children With Medical Complexity
Led by University of Utah · Updated on 2026-01-12
360
Participants Needed
2
Research Sites
168 weeks
Total Duration
On this page
Sponsors
U
University of Utah
Lead Sponsor
N
National Institute of Nursing Research (NINR)
Collaborating Sponsor
AI-Summary
What this Trial Is About
Children with medical complexity (CMC) are the most vulnerable of children with chronic diseases, who have complex, multisystem chronic diseases affecting ≥3 organ systems, severe functional limitations and technology dependencies. CMC have high health care needs, and account for 40% of hospitalized children and 35% of all pediatric health care costs. Due to high medical fragility, CMC have frequent acute deteriorations superimposed on their chronic conditions, leading to recurrent emergency department (ED)/hospital admissions and affecting quality of life (QOL). To reduce ED/hospital admissions for CMC, remote monitoring is suggested, with use of mHealth apps to regularly assess their health status remotely and identify early signs of acute deterioration, allowing for early interventions to prevent ED/hospital admissions. Yet no app to support remote monitoring of CMC exists. Variable, multisystem conditions among CMC make it difficult to develop an app. Also, many CMC are at high-risk for health care inequities, with minorities having higher unmet needs, but the impacts of health care inequities and social determinants of health (SDOH) on ED/hospital admissions in CMC are rarely studied. Fortunately, ED/hospital admissions for CMC are often preceded by a limited set of shared (crosscutting) acute symptoms. These crosscutting symptoms rarely occur suddenly. Studies suggest that they usually start as subtle signs, often unnoticed by parents until they escalate to prompt an ED/hospital visit. Thus, crosscutting symptoms offer an opportunity for a novel and practical approach for developing a remote monitoring app for CMC, despite their multiple, variable underlying conditions. In a focus group, parents identified the crosscutting symptoms that most often preceded their children's hospital admissions, and conveyed their needs, preferences and key functionalities that led to MyChildCMC, the first app designed to monitor and identify early signs of crosscutting symptoms in CMC. In a pilot trial of 50 subjects, we confirmed feasibility of MyChildCMC use by parents, ability to detect early signs 2-14 days prior to ED/hospital admissions, and use leading significantly to fewer hospital days than controls. The current study will assess the efficacy and sustainability of MyChildCMC in a fully-powered 6-month, 2-arm (MyChildCMC vs usual care) trial of CMC (age 1-18 years) and their parents. Parents assigned to MyChildCMC will use the app daily for 6 months, both arms will receive financial incentive for participation, then 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 will help reduce or eliminate inequities in ED/hospital admissions. Specific Aims are: 1) Determine MyChildCMC's efficacy on 1.a. Child (ED/hospital use, hospital days and QOL) and 1.b. Parent (satisfaction, self-efficacy and stress) outcomes; 2) Compare ED/hospital use among racial/ethnic and SDOH subgroups to assess potential effect of MyChildCMC on inequities.
CONDITIONS
Official Title
A Novel mHealth Intervention to Improve Outcomes of Children With Medical Complexity
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Children with medical complexity (CMC) aged 1 to 18 years and their parents or primary caregivers
- CMC receiving care at participating comprehensive care clinics
- Ownership or provision of a smartphone or tablet with internet access
- Ability to speak English or Spanish
- CMC with multisystem chronic diseases involving three or more organ systems
- CMC under the care of three or more healthcare providers
- CMC with high fragility or frequent hospitalizations (two or more) or one prolonged hospitalization over 10 days in the past year
- CMC who depend on medical technology
You will not qualify if you...
- Critically ill children with medical complexity and infants
- Children functioning below expected developmental levels for a 7-year-old
- Infants under 1 year old due to prematurity-related conditions that may resolve by age 2
- Children over 18 years old who may be transitioning to adult healthcare
- No exclusion due to lack of smartphone or internet access; support provided for those without access
AI-Screening
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Trial Site Locations
Total: 2 locations
1
Ann & Robert H. Lurie Children's Hospital of Chicago
Chicago, Illinois, United States, 60611
Actively Recruiting
2
Primary Children's Hospital
Salt Lake City, Utah, United States, 84113
Actively Recruiting
Research Team
F
Flory L Nkoy, MD, MS, MPH
CONTACT
A
Angela Zhu, BS
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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