[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Alexandra Hospital\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":137},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,54,88,115],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":30,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":53},"100637080","tailored-brain-health-insights-through-nurturing-knowledge-based-change---stakeholder-driven-human-centered-ai-powered-refinement-for-prevention-100637080",false,"NCT07612800","Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention","Tailored Brain Health Insights Through Nurturing Knowledge-based Change - Stakeholder-driven, Human-centered, AI-powered Refinement for Prevention (THINK-SHARP)","THINK-SHARP","Inclusion Criteria:\n\n* Community-dwelling adults\n* Aged 40 years and above at time of recruitment\n* Able to use a smartphone and smartphone applications\n* Able to provide written informed consent\n\nExclusion Criteria:\n\n* Been diagnosed wotj dementia, neurocognitive disorder or any major psychiatric illness\n* Have severe sensory or physical disability precluding usage of the application\n* Terminal illness or expected survival of less than 12 months at point of recruitment",true,"ALL","40 Years",{"count":21,"type":22},350,"ESTIMATED","INTERVENTIONAL",[25],"NA","The goal of this clinical trial is to evaluate whether an AI-powered digital brain health coaching intervention can improve modifiable brain health risk factors in community-dwelling adults aged 40 and above in Singapore.\n\nThe main question it aims to answer is: does the use of BLAZE, an AI-powered digital brain health coaching intervention, lead to a greater improvement in Brain Care Score (BCS) compared to usual care at 6 months?\n\nResearchers will compare participants receiving BLAZE to those receiving usual care (waitlist control) to see if BLAZE leads to greater improvements in brain health risk factors, behavioural outcomes, quality of life, and cost-effectiveness.\n\nParticipants will:\n\n* Be randomly assigned to either receive BLAZE immediately for 12 months or be placed on a waitlist receiving usual care for the first 6 months before receiving BLAZE for a further 6 months\n* Complete a series of assessments at baseline, 6 months, and 12 months including the Brain Care Score, physical function tests, cognitive assessments, quality of life measures, and lifestyle behaviour questionnaires\n* If assigned to the intervention group, interact with BLAZE via a WhatsApp-based platform that delivers personalised brain health recommendations, behavioural nudges, educational content, and goal-setting support based on their individual Brain Care Score profile",[28,29],"MCI","Dementia",[31,32,33,34,35,36,37,38,39,40],"COM-B","artificial intelligence","digital health intervention","mHealth","conversational agent","large language model","Whatsapp-based intervention","Just-in-time adaptive intervention (JITAI)","brain health coaching","behavioural nudging","NOT_YET_RECRUITING","2026-05-21",{"date":44,"type":45},"2026-05-29","ACTUAL",{"date":47,"type":22},"2026-09-01",{"date":49,"type":22},"2029-12-31",{"name":51,"class":52},"Alexandra Hospital","OTHER",1,{"id":55,"slug":56,"hasResults":11,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":4,"eligibilityCriteria":59,"healthyVolunteers":11,"sex":18,"minAge":60,"maxAge":61,"enrollmentInfo":62,"targetDuration":4,"studyType":23,"phases":64,"briefSummary":65,"conditions":66,"keywords":73,"overallStatus":79,"whyStopped":4,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":53},"100573937","wearable-technology-data-driven-digital-health-coaching-activation--a-mixed-methods-study-100573937","NCT06752772","WeArable teChnology daTa driVen digitAl healTh cOachINg (ACTIVATION)- A Mixed-methods Study","Inclusion Criteria:\n\n* 21-75 years old\n* Patients who are at risk of any of the following:\n\n  1. Elevated blood pressure\n  2. Overweight (BMI\\>=23kg\u002Fm2)\n  3. Pre-diabetes, OR\n* Patients who have one or more of the following (HOLD) conditions:\n\n  1. Hypertension\n  2. Obesity (BMI\\>=27.5kg\u002Fm2)\n  3. HyperLipidemia\n  4. Type 2 Diabetes Mellitus\n* Patients who own a smartphone\n* Patients who are willing to wear a smartwatch during the intervention period.\n\nExclusion Criteria:\n\n* Patients who have a medical condition that prevented participation in physical activity\n* Patients who have current diagnosis or history of eating disorder, depression\n* Patients who are currently pregnant or planning to become pregnant in the next 6 months\n* Patients who are currently participating in a weight loss programme (commercial, medically supervised, or research study)\n* Patients who are on weight loss medications (over-the-counter or prescription)\n* Patients who are not mentally-, physically- or technologically-capable\n* Patients who is unable to provide informed consent.","21 Years","75 Years",{"count":63,"type":22},1700,[25],"Public health priorities have shifted towards disease prevention, emphasising health promotion and lifestyle interventions to reduce disease burden. Despite global efforts, the prevalence of chronic diseases remains high, with lifestyle factors such as alcohol consumption, diet, smoking, obesity, and sedentary behaviour playing significant roles. In Singapore, suboptimal lifestyle behaviours are common, contributing to a high incidence of chronic conditions. Metabolic syndrome (MetS), linked to obesity, poses a growing societal burden due to its association with cardiovascular risks. Disparities exist in the delivery of lifestyle interventions among healthcare providers (HCPs), with many patients receiving inadequate guidance. Digital health coaching, incorporating wearable technology, offers promising solutions to bridge these gaps, providing personalised, real-time support and feedback to improve lifestyle behaviours and prevent disease progression. Challenges such as time constraints, lack of feedback, and limited support can be addressed through remote monitoring and tailored interventions, making scalable population-level interventions feasible.",[67,68,69,70,71,72],"Elevated Blood Pressure","Hypertension","Overweight\u002FObesity","Type 2 Diabetes Mellitus (T2DM)","Hyperlipidemia","Prediabetes",[74,75,76,77,78],"Digital Health Intervention","Health Coaching","Personalisation","Nudging","Wearables","RECRUITING","2025-09-29",{"date":82,"type":45},"2025-10-02",{"date":84,"type":45},"2024-08-06",{"date":86,"type":22},"2026-02",{"name":51,"class":52},{"id":89,"slug":90,"hasResults":11,"nctId":91,"briefTitle":92,"officialTitle":93,"acronym":4,"eligibilityCriteria":94,"healthyVolunteers":17,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":95,"targetDuration":4,"studyType":23,"phases":97,"briefSummary":98,"conditions":99,"keywords":101,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":107,"lastUpdatePostDateStruct":108,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":4},"100552908","vr-guided-mindfulness-for-eskd-caregiver-well-being-100552908","NCT06479200","VR-Guided Mindfulness for ESKD Caregiver Well-Being","Protocol for Pilot Randomized Controlled Trial: Virtual Reality-Guided Mindfulness Intervention on Psychosocial Well-Being of End-Stage Kidney Disease Caregivers","Inclusion Criteria:\n\n* Age 21 years or older\n* Primary caregiver of a patient with end-stage kidney disease (ESKD) (stage 4 \\& 5 with - estimated glomerular filtration rate \\\u003C 30 mL\u002Fmin\u002F1.73 m²)\n* Proficient in English\n\nExclusion Criteria:\n\n* Known visual or hearing impairments\n* History of motion sickness\n* Active psychosis or suicidal ideation\n* Current regular mindfulness practice\n* History of seizure, stroke, or head injury",{"count":96,"type":22},30,[25],"This pilot randomized controlled trial aims to evaluate the efficacy and feasibility of a virtual reality (VR)-guided mindfulness intervention for caregivers of patients with end-stage kidney disease (ESKD). Thirty ESKD caregivers will be randomly assigned to either a 6-week VR-guided mindfulness intervention or a sham VR control group. The study will assess changes in caregiver burden, stress, anxiety, depression, quality of life, and mindfulness using validated questionnaires. Feasibility outcomes, including recruitment, retention, adherence, and participant experiences, will also be evaluated. The findings will inform the design of a future larger-scale trial and may lead to the development of an accessible, technology-based support option for ESKD caregivers.",[100],"Kidney Failure, Chronic",[102,103,104,105,106],"virtual reality","mindfulness","caregiver burden","end-stage kidney disease","pilot randomized controlled trial","2024-06-26",{"date":109,"type":45},"2024-06-28",{"date":111,"type":22},"2024-08-01",{"date":113,"type":22},"2025-08-01",{"name":51,"class":52},{"id":116,"slug":117,"hasResults":11,"nctId":118,"briefTitle":119,"officialTitle":120,"acronym":121,"eligibilityCriteria":122,"healthyVolunteers":11,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":123,"targetDuration":4,"studyType":23,"phases":125,"briefSummary":126,"conditions":127,"keywords":4,"overallStatus":79,"whyStopped":4,"lastUpdateSubmitDate":129,"lastUpdatePostDateStruct":130,"startDateStruct":132,"completionDateStruct":134,"leadSponsor":136,"locationsCount":53},"100544734","nurse-led-physician-supported-care-for-patients-with-chronic-kidney-disease-and-multimorbidity-100544734","NCT06372743","Nurse-led Physician-supported Care for Patients With Chronic Kidney Disease and Multimorbidity","A Dual-centre, Two-arm, Open-label Randomized Controlled Trial Comparing an Integrated Collaborative Nurse-led Physician-supported Multimorbid Chronic Kidney Disease Care Model Versus Physician-led Care (INTEGREAT-CKD)","INTEGREATCKD","Inclusion Criteria :\n\n* Adults aged 21 years and above AND diagnosed with\n* CKD Stages 3B and above (defined as estimated GFR less than or equal to 44 mL\u002Fmin\u002F1.73m2 with evidence of kidney damage) AND diagnosed with\n* one or more of the following sub-optimally managed parameters pertaining to blood pressure control OR, glycemic control OR fluid status management.\n\nExclusion criteria:\n\n* Pregnancy\n* End stage kidney disease\n* Enrolment in any structured outpatient-based or community-based CKD program for at least six months prior to or during the period of enrolment in the study.\n* Dementia and\u002For cognitive impairment",{"count":124,"type":22},220,[25],"Chronic kidney disease (CKD) is a prevalent chronic disease and is often intertwined with the management of cardiovascular disease and the optimization of metabolic risk factors. In light of steeply rising rates of end-stage kidney disease (ESKD) and increased healthcare resource utilization by CKD patients, the investigators propose that the role of nurses could be expanded to support the care of CKD patients in the community.\n\nA total of 220 patients will be randomized (1:1) to the intervention or control groups (usual care). The intervention entails enrolment into a nurse-led, physician-supported programme (INTEGREAT-CKD), comprising outpatient consultations and community-based ambulatory monitoring and counselling primarily driven by CKD-trained advanced practice nurses (APNs) and healthcare professionals conducted over 6 months. Patient-reported outcomes like health-related quality of life (HRQOL), as measured by EQ-5D and KDQOL, CKD self-management score and CKD health literacy will be assessed at baseline and after 6 months. The primary outcome is CKD self-management. Other secondary outcomes to be assessed and tracked including achievement of clinical targets relevant to slowing down CKD progression, attainment of CKD best practice guidelines as specified in the KDIGO CKD Evaluation and Management guidelines 2020.",[128],"Chronic Kidney Diseases","2024-04-15",{"date":131,"type":45},"2024-04-18",{"date":133,"type":45},"2023-11-01",{"date":135,"type":22},"2026-12-31",{"name":51,"class":52},""]