In 20-minute home visits, I’m finding the standard MoCA over-penalizes my 80s–90s clients with 6–8 years of schooling; has RUDAS given you a cleaner read without the education bias? For those with macular degeneration, have you used MoCA-Blind or large-print adaptations, and do the norms still feel defensible when we’re trying to parse mild NCD from depression?
RUDAS felt fairer; in ‘20-minute visits’ I add GDS-15. For macular degeneration, MoCA-Blind: https://www.mocatest.org/paper-tests/moca-test-blind/, but watch language load.
We hit 3,100 cores last spring and the only way we got true “no retyping” was ditching the M210. On your September Framon 2 + LAB Universal Pro setup, swap the labeler for a Workstation‑compatible i3300/BMP61 and drive prints from a single UID barcode in Airtable; each scan at pinning/cutting logs inventory and auto‑prints tray/bag labels via Brady Workstation data merge. It’s a bit more spendy, , but it syncs in real time: Brady Software, Label Printer Software and more | Brady.
Quick win in my 20‑minute visits: MoCA‑Basic has been less punitive than standard MoCA and, in my hands, a cleaner discriminator than RUDAS when schooling tops out around 6–8 years; https://www.mocatest.org/moca-basic/. Caveat: it wobbles with hearing loss, so I do a quick audibility check first — would you try that on your macular‑degeneration clients, @OP?
In short home visits, add AD8 plus auditory MIS; cleaner on ‘mild NCD vs depression’ than MoCA variants. Tried?
I’ve found RUDAS less schooling‑sensitive, but it can miss subtle amnestic changes, so I add a 90‑second oral SDMT to separate speed/effort from memory when parsing ‘mild NCD vs depression’. For macular degeneration, MoCA‑Blind plus RUDAS is workable if you read items aloud and use high‑contrast stimuli; I treat MoCA‑Blind cutoffs as descriptive until I’ve cross‑checked an informant account. Manual here: health.vic.gov.au/sites/default/files/migrated/files/collections/policies-and-guidelines/r/rudas-instructions-and-score-sheet-pdf.pdf — have you noticed better separation using delayed recall over immediate prompts?