BACKGROUND: Autism is a complex neurodevelopmental disability with global prevalence of one in 100 individuals. Poor access to interventions in both under-resourced regions of high-income countries and low- and middle-income countries has deleterious effects on the health and wellbeing of individuals with autism and their families. Our objective was to utilize a reciprocal innovation framework and participatory methods to adapt and co-develop a culturally grounded group-based wellbeing and naturalistic developmental behavioural intervention (NDBI) training program for caregivers of young children with autism to be implemented in Kenya and rural Indiana.
METHODS: This study was conducted within the Academic Model Providing Access to Healthcare (AMPATH) program. An evidence-informed Naturalistic Developmental Behavioral Intervention (NDBI) previously utilized in Indiana was adapted and iteratively refined using the Ecological Validity Framework (EVF) by a team of US and Kenyan disability experts. Key adaptations to the program were made across the EVF domains of language, persons, metaphors/content, concepts, goals, methods, and context.
RESULTS: Substantial cultural adaptations were made to the NDBI following the EVF model, including the addition of traditional Kenyan cultural practices, use of narrative principles, and focus on daily routines over play. Pepea, the adapted program, involves 10 group sessions covering content in basic education on autism, positive caregiver coping strategies, and behavioural skills training to promote child communication and reduce challenging behaviour. Key adaptations for Pepea were integrated back into a US NDBI caregiver training program.
CONCLUSIONS: This study fills a critical gap by detailing the adaptation process of a caregiver wellbeing and naturalistic developmental behavioural training program for caregivers of children with autism in low-resource settings. Our next steps are to report on mixed-methods outcomes from pilot implementation. Our long-term goal is to apply these insights to advance sustainable and scalable autism intervention services across the globe.

BACKGROUND: Despite the high number of children living with neurodevelopmental disabilities in sub-Saharan Africa, access to early intervention is almost non-existent. It is therefore important to develop feasible, scalable early autism intervention that can be integrated into systems of care. While Naturalistic Developmental Behavioural Intervention (NDBI) has emerged as an evidence-based intervention approach, implementation gaps exist globally, and task-sharing approaches may address access gaps. In this South African proof-of-principle pilot study, we set out to answer two questions about a 12-session cascaded task-sharing NDBI-whether the approach could be delivered with fidelity, and whether we could identify signals of change in child and caregiver outcomes.
METHODS: We utilized a single-arm pre-post design. Fidelity (non-specialists, caregivers), caregiver outcomes (stress, sense of competence), and child outcomes (developmental, adaptive) were measured at baseline (T1) and follow-up (T2). Ten caregiver-child dyads and four non-specialists participated. Pre-to-post summary statistics were presented alongside individual trajectories. Non-parametric Wilcoxon signed rank test for paired samples was used to compare group medians between T1 and T2.
RESULTS: Caregiver implementation fidelity increased in 10/10 participants. Non-specialists demonstrated a significant increase in coaching fidelity (increases in 7/10 dyads). Significant gains were seen on two Griffiths-III subscales (Language/Communication-9/10 improved, Foundations of Learning-10/10 improved) and on the General Developmental Quotient (9/10 improved). Significant gains were also seen on two Vineland Adaptive Behaviour Scales (Third Edition) subscales (Communication-9/10 improved, Socialization-6/10 improved) and in the Adaptive Behaviour Standard Score (9/10 improved). Caregiver sense of competence improved in 7/10 caregivers and caregiver stress in 6/10 caregivers.
CONCLUSIONS: This proof-of-principle pilot study of the first cascaded task-sharing NDBI in Sub-Saharan Africa provided fidelity and intervention outcome data which supported the potential of such approaches in low-resource contexts. Larger studies are needed to expand on the evidence-base and answer questions on intervention effectiveness and implementation outcomes.

Many autistic children require support to meet their learning needs. Given the heterogeneity within the autism spectrum it is plausible that different types of support might be better suited to different children. However, knowledge on what interventions work best for which children is limited. We examined the outcomes of autistic preschool-aged children receiving one of two community early intervention approaches. Our main objective was to understand which baseline child characteristics might be associated with the degree of individual response to intervention-whether prognostically (i.e., irrespective of intervention received) or predictively (i.e., specifically in the context of one or other EI approach). Participants comprised two matched groups of preschool-aged autistic children receiving either Group-based Early Start Denver Model (G-ESDM; n = 42) delivered in a 1:3-4 staff:child ratio or an Early Intensive Behavioural Intervention (EIBI; n = 40) delivered in combination of 1:1 and 1:2 staff:child ratio. Over an approximate one-year follow-up period, children in both groups made significant gains in Developmental Quotient (DQ) scores, and trend-level gains in adaptive behaviour composite scores. Higher attention to a playful adult measured via an eye-tracking task was prognostically indicative of better verbal DQ and adaptive behaviour outcomes for the cohort overall. Moderation analyses indicated a single predictive effect-of pre-program sustained attention for subsequent NVDQ outcomes specific to those children receiving G-ESDM. These findings suggest that fine-grained measures of learning skills offer promise towards the selection and tailoring of intervention approaches to meet individual children\'s learning needs.