BACKGROUND: Neuropsychological testing is a prime criterion of good practice to document cognitive deficits in a rapidly aging population. Telecommunication technologies may overcome limitations related to test administration. We compared performance of the Italian videoconference-based version of the Mini Mental State Examination (VMMSE) with performance of the standard MMSE administered face-to-face (F2F), to validate the Italian version of the 28-item VMMSE. MATERIALS AND METHODS: To validate the Italian version of the VMMSE, we compared its performance with standard F2F. The sample (n=342) was administered three VMMSEs within 6 weeks after F2F testing. We identified the optimal cutoff through the receiver operating characteristic curve, as well as the VMMSE consistency through inter- and intrarater reliability (Inter/RR and Intra/RR) analysis. RESULTS: We found high levels of sensitivity and specificity for the optimal VMMSE cutoff identification and an accuracy of 0.96 (95% confidence interval 0.94-0.98). Intra/RR and inter/RR were highly significant. CONCLUSIONS: This study demonstrates that VMMSE is a valid instrument in clinical and research screening and monitoring of subjects affected by cognitive disorders. This study shows a significant correlation between videoconference assessment and the F2F one, providing an important impetus to expand studies and the knowledge about the usefulness of tele-assistance services. Our findings have important implications for both longitudinal assistance and clinical care of demented patients.
BACKGROUND: Neuropsychological testing is a prime criterion of good practice to document cognitive deficits in a rapidly aging population. Telecommunication technologies may overcome limitations related to test administration. We compared performance of the Italian videoconference-based version of the Mini Mental State Examination (VMMSE) with performance of the standard MMSE administered face-to-face (F2F), to validate the Italian version of the 28-item VMMSE. MATERIALS AND METHODS: To validate the Italian version of the VMMSE, we compared its performance with standard F2F. The sample (n=342) was administered three VMMSEs within 6 weeks after F2F testing. We identified the optimal cutoff through the receiver operating characteristic curve, as well as the VMMSE consistency through inter- and intrarater reliability (Inter/RR and Intra/RR) analysis. RESULTS: We found high levels of sensitivity and specificity for the optimal VMMSE cutoff identification and an accuracy of 0.96 (95% confidence interval 0.94-0.98). Intra/RR and inter/RR were highly significant. CONCLUSIONS: This study demonstrates that VMMSE is a valid instrument in clinical and research screening and monitoring of subjects affected by cognitive disorders. This study shows a significant correlation between videoconference assessment and the F2F one, providing an important impetus to expand studies and the knowledge about the usefulness of tele-assistance services. Our findings have important implications for both longitudinal assistance and clinical care of demented patients.
Authors: Petra Scheerbaum; Stephanie Book; Michael Jank; Etienne Hanslian; Melanie DellO'ro; Julia Schneider; Julia-Sophia Scheuermann; Sophia Bösl; Michael Jeitler; Christian Kessler; Elmar Graessel Journal: BMJ Open Date: 2022-07-01 Impact factor: 3.006
Authors: Radia Zeghari; Rachid Guerchouche; Minh Tran Duc; François Bremond; Maria Pascale Lemoine; Vincent Bultingaire; Kai Langel; Zeger De Groote; Francis Kuhn; Emmanuelle Martin; Philippe Robert; Alexandra König Journal: Int J Environ Res Public Health Date: 2021-06-05 Impact factor: 3.390
Authors: Sam T Creavin; Susanna Wisniewski; Anna H Noel-Storr; Clare M Trevelyan; Thomas Hampton; Dane Rayment; Victoria M Thom; Kirsty J E Nash; Hosam Elhamoui; Rowena Milligan; Anish S Patel; Demitra V Tsivos; Tracey Wing; Emma Phillips; Sophie M Kellman; Hannah L Shackleton; Georgina F Singleton; Bethany E Neale; Martha E Watton; Sarah Cullum Journal: Cochrane Database Syst Rev Date: 2016-01-13
Authors: Anna Carotenuto; Raffaele Rea; Enea Traini; Giovanna Ricci; Angiola Maria Fasanaro; Francesco Amenta Journal: JMIR Ment Health Date: 2018-05-11