The research, led by Ji Eun Han, Yeseul Shin, and So Hyun Kim of Korea University together with collaborators including Catherine Lord of UCLA, addressed a gap that has grown more urgent as Naturalistic Developmental Behavioral Interventions, or NDBIs, have proliferated across service settings. NDBIs — a family of empirically supported approaches that include models such as the Early Start Denver Model, JASPER, and Project ImPACT — work by embedding teaching strategies into naturally occurring play and daily routines, often with caregivers as the primary agents of change. Because these interventions unfold in everyday contexts, researchers have long lacked standardized tools capable of sensitively capturing changes in both the child’s social communication and the caregiver’s strategy use across different environments.

The study enrolled sixty caregiver-child dyads of young autistic children, each of whom completed a standardized twelve-minute caregiver-led play task in two contrasting contexts: a clinic and the family’s home. The design was deliberately precise. The same caregiver, the same child, and the same scripted play task were used in both settings, isolating the effect of the environment itself. During home administration, research staff provided real-time remote support and prompts consistent with clinic procedures — a telehealth-style arrangement that mirrors how many intervention programs now operate in the community.

The technical logic behind the two measures is worth unpacking. The BOSCC is a brief observation tool developed specifically to measure change in autistic children’s social communication over the course of intervention, using a short play-based interaction rather than a lengthy diagnostic assessment. Unlike the Autism Diagnostic Observation Schedule, which was designed to establish diagnosis and severity, the BOSCC was engineered to be sensitive to treatment-related change — the subtle shifts in eye contact, gesture, verbal initiation, and shared engagement that define progress in early social communication. The MONSI-CC, by contrast, turns the observational lens on the caregiver, quantifying how consistently a caregiver implements NDBI strategies such as following the child’s lead, arranging the environment to invite communication, and responding contingently to the child’s communicative acts.

Feasibility and acceptability of home administration emerged as a headline finding. Descriptive statistics showed high caregiver acceptability and strong fidelity of the home-based play tasks, meaning caregivers were willing to complete the assessments and that the tasks were carried out as intended. This is no small matter for a field in which caregiver buy-in often determines whether an assessment or intervention succeeds. Prior work has shown that telehealth-delivered parent-mediated programs can achieve meaningful parent and child outcomes, but the new study demonstrates that the measurement infrastructure itself — not just the therapy — can be moved into the home without sacrificing standardization.

Reliability, the statistical backbone of any outcome measure, showed generally similar patterns across the two contexts. The researchers examined internal consistency, inter-rater reliability, and test-retest reliability for both the BOSCC and the MONSI-CC in clinic and home administrations. The finding that these reliability properties held in both settings is technically significant: it means the measures behave as psychometrically sound instruments whether the observation occurs in a clinic room or on a living room floor, a prerequisite for any tool intended to compare progress across settings or to pool data from mixed delivery models.

Cross-context comparability produced the study’s most consequential results. Using paired-sample t-tests, the researchers found that most BOSCC and MONSI-CC scores did not differ significantly between clinic and home, suggesting that the two environments yielded broadly similar snapshots of child and caregiver behavior. Pearson correlations revealed several significant cross-context associations, indicating that a child’s or caregiver’s performance in one setting predicted performance in the other. For trial designers, this opens the possibility of administering these brief observations in whichever setting is most practical — or most representative of where the intervention actually happens — without undermining comparability across participants or study sites.

The associations between child and caregiver behaviors carried a developmental message of their own. The study found that links between autistic children’s social communication and caregiver strategy use were strongest within the same context but also evident across settings. This pattern aligns with the transactional model of development, in which children and the people around them continuously shape each other, and with decades of evidence that parental responsiveness predicts subsequent communication growth in autistic children. It also suggests that the caregiver strategies taught in NDBIs are not confined to the clinic: caregivers appear to generalize their strategy use to the home environment, and children’s social communication shows corresponding coherence across contexts.

The implications ripple outward in several directions. For researchers, the study provides evidence that brief, standardized observational assessments can serve as scalable outcome tools for clinic- and home-based early intervention settings, addressing a limitation repeatedly flagged in systematic reviews of outcome measures for young autistic children. For clinicians and community programs, it suggests that progress monitoring no longer requires families to travel to a clinic for every assessment — a barrier that disproportionately affects low-resource families. And for the growing telehealth movement in autism services, it offers psychometric reassurance that remote-supported home administration can meet the same measurement standards as in-person clinic administration.

There are, of course, boundaries to what the study claims. The findings concern feasibility, reliability, and cross-context comparability rather than direct evidence of treatment efficacy, and the measures capture brief standardized interactions rather than the full richness of daily life. Yet the study’s architecture — sixty dyads, identical tasks in two settings, remote support replicating clinic procedures — represents exactly the kind of measurement groundwork that the field has demanded. As caregiver-mediated NDBIs continue to expand into homes and communities, the ability to observe change wherever it actually occurs may prove to be one of the quiet revolutions in how autism intervention science moves forward.

Subject of Research: Autism intervention outcome measures validated across clinic and home settings

Article Title: Comparing Intervention Outcome Measures Across Clinic and Home for Young Autistic Children: Brief Observation of Social Communication Change (BOSCC) and Measure of NDBI Strategy Implementation-Caregiver Change (MONSI-CC)

Article References: Han, J. E., Shin, Y., Elias, R., Swain, D., Viggiano, A., Lord, C., & Kim, S. H. (2026). Comparing Intervention Outcome Measures Across Clinic and Home for Young Autistic Children: Brief Observation of Social Communication Change (BOSCC) and Measure of NDBI Strategy Implementation-Caregiver Change (MONSI-CC). Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07575-y

Image Credits: AI Generated

DOI: 10.1007/s10803-026-07575-y

Keywords: Comparing, Intervention, Outcome, Measures, Across, Clinic, Home, Young, Autistic, Children, Brief, Observation