WHODAS 2.0 – Interview

WHODAS 2.0 – Interview

Assessment Session:

Disability assessments using the WHODAS 2.0 – Interview are now faster and more comprehensive. NovoNote analyses your interview session and records the client’s response to the question for each of the 43 items, with supporting statements drawn from the interview and a confidence flag where an item warrants further assessment. It is recommended that clinicians guide their questions using the World Health Organisation Disability Assessment Schedule 2.0 – Interview (WHODAS 2.0 – Interview) in NovoPsych.

This template is currently in beta. If you use it, we’d welcome your feedback at [email protected]

Note: Outputs are explicitly AI-suggested only. Clinicians should review and confirm every item before entering final responses into NovoPsych for IRT-based WHODAS scoring.

Learn more about the WHODAS 2.0 – Interview here or start using the WHODAS 2.0 Interview template in NovoNote.

FAQ

The WHODAS 2.0 – Interview is a standardised, structured instrument. Each question is asked verbatim, within the specified frames of reference — the past 30 days, difficulty experienced, and attribution to the health condition — and the client selects their own severity rating on the 0–4 scale (none to extreme / cannot do). Item-specific rules, exceptions and skip logic apply throughout. None of that changes because a scribe is present in the room.

NovoNote’s AI serves  as a “scribe” (in its functional similiarity). It records the client’s verbatim responses on the severity rating scale and assists in tracking those responses across all 43 items. Where a client has clearly stated a rating, the suggestion is not an inference. It is a transcription of the actual response “client stated rating of….”.

Standard, structured format requires that the clients verbally select difficulty ratings for each item. Where the transcript clearly captures those responses — “moderate”, “severe” — the AI documents the response rating that directly corresponds to what the client stated. This is the intended use case for the template.

In cases where the interview did not follow standard administration protocol and there is ambiguous rating information (two ratings, narrative but no rating, clinician inferred ratings etc.)  NovoNote AI will provide a rating using the narrative responses, and transcribe supporting information based on matching the item content against the session narrative; however it will also explicitly flag this as low confidence, with a stated reason. Where the deviation is more substantial, it will flag the entire interview as a non-standard administration, alerting the clinician that what took place departed from the standard protocol, and in all cases state the reason: item not asked, content not discussed, insufficient information or probing, and/or discrepant responses.

The rubric is built on the WHODAS manual’s administration instructions. The AI is directed to score each item based on hard-coded adherence to the manual: clinician delivery of the questions (the six frames of reference, the recommended clarifying questions, the exception rules) and the client’s stated severity rating, or “not applicable” where the item permits it.

Not from the AI. Final WHODAS scoring — the 0–100 IRT metric, percentiles and domain descriptors — is generated by NovoPsych’s validated scoring engine once the clinician independently enters the ratings, confirming the responses.

This is the goal, just like developing and validating any other measure – digital or paper, self-report or clinical interview. During this beta phase, the intention is to compare the AI scores against clinician-entered assessment ratings of the WHODAS in Novopsych and calculate inter-rater reliability. Clinicians who use the template can opt in to share their data with us via their account settings, if interested.

In the current pilot phase, we have tested the WHODAS clinician interview ourselves with practice interviews for both standard and non-standardised administrations to evaluate if the AI-scored template is working as intended. We also continuously review the AI-scored clinician interview assessments for quality assurance to identify any areas where the AI is not performing as it should and iterate on improving both its precision and accuracy.

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