protocolSection identificationModule nctId: NCT06379594, orgStudyIdInfo id: 294633, briefTitle: UK Based Remote Brain Health Clinic (BHC) for Patients With Mild Cognitive Impairment (MCI), acronym: BHC, statusModule overallStatus: ENROLLING_BY_INVITATION, startDateStruct date: 2022-06-20, primaryCompletionDateStruct date: 2027-12, completionDateStruct date: 2028-06, studyFirstPostDateStruct date: 2024-04-23, lastUpdatePostDateStruct date: 2024-04-23, sponsorCollaboratorsModule leadSponsor name: South London and Maudsley NHS Foundation Trust, class: OTHER, descriptionModule briefSummary: This project aims to understand the feasibility, acceptability and real-world evidence of a novel UK-based remote brain health clinic for patients with mild cognitive impairment (MCI). A timely and accurate diagnosis of dementia is a priority in the UK and MCI is indicative of future risk of cognitive decline. An accurate etiological diagnosis of MCI (MCI-subtyping - distinguishing those who are likely to go on to develop dementia and those who are not) is vital for treatment planning. Whilst the assessment of molecular biological markers (biomarkers) for etiological diagnosis of MCI and Alzheimer's disease (AD) is increasingly recommended and employed internationally, the uptake is low in UK memory clinics. The Brain Health Clinic (BHC) has been specifically designed as a state-of-the-art diagnostic centre for those with MCI. Procedures will include a range of clinical and biomarker assessments, with molecular biomarkers based on lumbar puncture and cerebrospinal fluid (CSF) analysis. Additionally, the clinic will employ remote neuropsychiatric assessments using digital and telephonic methods. This allows for regular contact, whilst adhering to changes in clinical practice and national guidance due to the COVID-19 pandemic. Our overarching objectives are to first establish the acceptability and feasibility of the remote Brain Health Clinic and its novel clinical and biomarker assessment programme. Then secondly establish the impact of care under the Brain Health Clinic on i) care management decisions (e.g. follow-up and treatment planning); ii) time to etiological diagnosis of MCI (MCI-subtyping); and iii) time to diagnosis of dementia and severity of dementia at the time of diagnosis., conditionsModule conditions: Mild Cognitive Impairment, conditions: Mild Cognitive Impairment Due to Alzheimer's Disease, designModule studyType: OBSERVATIONAL, designInfo observationalModel: COHORT, timePerspective: PROSPECTIVE, enrollmentInfo count: 200, type: ESTIMATED, outcomesModule primaryOutcomes measure: To establish acceptability and feasibility of a novel remote brain health clinic for those with MCI., primaryOutcomes measure: To establish acceptability and feasibility of a novel remote brain health clinic for those with MCI., secondaryOutcomes measure: To establish the acceptability and feasibility of the following procedures/ biomarker assessment in a Brain Health Clinic, secondaryOutcomes measure: 2. To establish the acceptability and feasibility of administering the following cognitive assessments remotely in a brain health clinic, secondaryOutcomes measure: To establish the validity of novel MRI analysis software tools, secondaryOutcomes measure: 5. To investigate the acceptability and feasibility of remote tablet-based cognitive training, secondaryOutcomes measure: To establish the impact of the remote Brain Health Clinics novel clinical and biomarker assessment programme, secondaryOutcomes measure: To establish the impact of the remote Brain Health Clinics novel clinical and biomarker assessment programme, secondaryOutcomes measure: To establish the impact of the remote Brain Health Clinics novel clinical and biomarker assessment programme, secondaryOutcomes measure: To establish the impact of the remote Brain Health Clinics novel clinical and biomarker assessment programme, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: King's College London, city: London, state: Denmark Hill, zip: SE5 8AF, country: United Kingdom, geoPoint lat: 51.50853, lon: -0.12574, hasResults: False