Rationale:
Children with, or at elevated risk for, brain-based developmental disabilities experience chronic lifelong functional consequences with new challenges emerging at each stage of development. In the preschool years (3-6 years), needs arise from vulnerabilities linked to critical and newly emerging cognitive, speech, motor, behavioural and social skills. The preschool years are a time of stress for families as young child awaits assessment, or even as they receive services for brain-based disorders. Similarly, the system and society struggle to meet needs of families in a timely and appropriate manner in the face of escalating costs. Given these struggles, there is a need to examine whether a health-coach style of intervention coupled with parent education delivered through an online platform can be effective in empowering families, by delivering information, providing social (parent to parent) supports, and decreasing demand on health and developmental services. This innovation provides a significant service re-design in a system at critical point of transition.
Study objective:
To evaluate the feasibility and the effectiveness (changes in parent health, developmental service utilization and cost effectiveness) of a self-management intervention (including developmental coach, online education tools and support network), when compared to usual and locally available care in service delivery practices, for parents of preschool children with suspected developmental delays.
Methodology / Study design:
This is a prospective, two-arm pragmatic randomized controlled trial (RCT) comparing a developmental coaching and e-health services intervention plus usual care to the control state in which children and their families receive usual and locally available care over an 18-month time frame. The target population for this novel service delivery model is children aged 1.5 to 4.5 years old who are at a high risk for or suspected of having developmental delays, that are beginning to manifest impairments in developmental domains (e.g. motor, cognitive, speech, social and/or behavioural). In the first year, a technology-supported health coach service delivery model will be developed in conjunction with families. A feasibility/acceptability pilot study was conducted to ensure that the intervention is feasible in the real life context across 4 participating Canadian provinces.
Participants:
Eligible children and their families will be recruited to include children who are 1.5 to 4.5 years at the age at enrolment. Children will be living in four diverse parts of Canada to ensure national representation and future scalability: Vancouver; Winnipeg; Montreal and Halifax. Participants' postal codes will be analyzed to ensure representation: rural/remote, small urban and large urban/metro representation with purposeful sampling as required. From the patient population perspective, two different groups that are likely to manifest new global developmental delays at this stage will be recruited. They are at high risk for brain-based developmental delays, however some will have no delay and others will have mild, moderate or severe delays.
Study procedures: Intervention and control Recruitment begins with family contact. Families are contacted via the centre to which they were referred for developmental diagnosis and assessment. A member of the clinical team will ask if they are interested to learn more about the BRIGHT Coaching study. If interested, the families' contact information will be shared with the local research assistant (RA) overseeing the trial. The RA will speak to a parent by phone and follow up with an introductory letter by mail explaining the procedures of the study, together with the consent form and a self-addressed stamped envelope to return to the RA if interested in participating. After 2 weeks, if no consent form is received, the RA will call the family once again to determine their interest in participating. Once consent is signed, participants will conduct baseline assessments including documentation of their care and social networks, and be randomized using a computer-generated algorithm; randomization will be stratified by site. The allocation ratio for intervention or control will be 1:1 for each site.
