Study Finds Structured Telehealth Assessments Show Strong Agreement in Adult Autism Diagnoses

October 13, 2026 2 Min Read

New Research Explores Telehealth Autism Diagnosis Accuracy

A recent study has investigated the consistency of autism spectrum disorder (ASD) diagnoses made through a structured telehealth assessment protocol tailored for adults. This approach aligns with the latest DSM-5-TR diagnostic criteria and embraces a neurodiversity-affirming perspective, aiming to respect and validate autistic experiences without assuming diagnosis based on deficits.

Study Design and Participant Diversity

The retrospective study included 100 adults who primarily communicated verbally. Importantly, the sample was intentionally diverse, with 51% of participants identifying as Black, Indigenous, or people of color (BIPOC), reflecting efforts to address representation gaps in autism research and diagnosis.

Participants underwent evaluations consisting of two structured interviews, each lasting approximately 90 minutes, covering ten domains mapped to DSM-5-TR criteria. The assessment also incorporated behavioral observations, questionnaires, and collateral information when available.

Diagnostic Agreement Between Clinicians and Expert Review

To assess diagnostic consistency, a blinded expert independently reviewed de-identified assessment materials and classified each case as ASD or non-ASD. The study found an overall agreement rate of 86.0% between the original clinicians’ diagnoses and the expert’s classifications. Statistical analysis yielded a Cohen’s kappa of 0.684, indicating substantial agreement.

ASD classification rates were similar between the original clinicians (68%) and the expert reviewer (66%). The positive percent agreement, reflecting concordance on ASD diagnoses, was 90.9%, while the negative percent agreement, reflecting concordance on non-ASD diagnoses, was 76.5%.

Considerations on Subgroup Differences and Limitations

Exploratory analyses suggested that diagnostic agreement might be lower among BIPOC participants, although these findings were not definitive due to imprecise estimates. This points to the need for further research to understand and address potential disparities in autism diagnosis across diverse populations.

The authors caution that because both the clinicians and the expert reviewer worked from substantially overlapping information, the study does not establish diagnostic accuracy or validity. Independent, prospective studies using separate evaluations and multiple blinded reviewers are necessary to confirm these findings.

Implications for Telehealth and Neurodiversity-Affirming Practice

This study provides preliminary evidence that a structured telehealth assessment framework can produce consistent ASD diagnoses in adults when clinicians share the same information. Moreover, it demonstrates that neurodiversity-affirming approaches—which focus on validating clients’ experiences rather than emphasizing deficits—can be integrated with structured, criteria-based diagnostic methods.

Such findings are encouraging for expanding accessible, respectful autism assessments via telehealth, especially for adults and underrepresented groups.

For more detailed information, see the original study published in the Journal of Autism and Developmental Disorders: Diagnostic Agreement of a Structured Telehealth Adult Autism Assessment.