[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"chronic-diseases\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:chronic-diseases":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,6,0,[8,45,74,102,128,154],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":44},"100644774","ai-based-tai-chi-and-baduanjin-for-improving-balance-and-reducing-fall-risk-in-adults-with-chronic-diseases-100644774",false,"NCT07672704","AI-Based Tai Chi and Baduanjin for Improving Balance and Reducing Fall Risk in Adults With Chronic Diseases","Comparative Effects of an AI-Based Mobile Application Delivering Tai Chi and Baduanjin on Balance and Fall Risk in Adults With Chronic Diseases: A Randomized Controlled Trial","Inclusion Criteria:\n\n* Adults\n* Individuals with one or more health conditions relevant to the study\n* Able to participate in physical activity\n* Able to understand study instructions\n* Willing to provide informed consent\n\nExclusion Criteria:\n\n* \\- Any condition that may limit safe participation in the study\n* Any medical or other issue that may interfere with study procedures, as determined by the research team","ALL","18 Years",{"count":19,"type":20},120,"ESTIMATED","INTERVENTIONAL",[23],"NA","This study aims to examine the effects of an AI-based mobile application delivering Tai Chi and Baduanjin exercises on balance and fall risk in adults with chronic diseases.\n\nParticipants will be randomly assigned to Tai Chi, Baduanjin, or a control group over a 12-week period. The AI application will provide exercise guidance and basic feedback.\n\nOutcomes will focus on balance and, fall risk, along with user interaction with the technology.\n\nThe results are expected to support the use of AI-assisted exercise programs in improving balance and reducing fall risk in individuals with chronic conditions.",[26,27],"Chronic Diseases","Balance Disorders",[29,30,31],"Tai Chi","Baduanjin","Artificial Intelligence","NOT_YET_RECRUITING","2026-06-22",{"date":35,"type":36},"2026-06-29","ACTUAL",{"date":38,"type":20},"2026-06-16",{"date":40,"type":20},"2026-07-30",{"name":42,"class":43},"Alexandria University","OTHER",1,{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":4,"eligibilityCriteria":51,"healthyVolunteers":52,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":56,"conditions":57,"keywords":62,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":70,"leadSponsor":72,"locationsCount":4},"100643029","gansu-nurses-health-cohort-study-100643029","NCT07645911","Gansu Nurses' Health Cohort Study","Gansu Nurses' Health Surveillance and Improvement Action Program","Inclusion Criteria:\n\n1. Age ≥ 18 years;\n2. Able to communicate freely, have the ability to act, and agree to participate in this study.\n\nExclusion Criteria:\n\n1. Resigned from the hospital;\n2. Without a nursing license;\n3. Have a history of mental illness or severe cognitive impairment.",true,{"count":54,"type":20},1000,"OBSERVATIONAL","This study aims to understand the health status, work stress, and occupational exposure in the work environment among nurses in Gansu Province, China. We will collect information through questionnaires and conduct follow-up surveys every two years. The results of this study will help improve working conditions for nurses in the future and provide scientific evidence for developing health protection policies for the nursing workforce.",[58,59,26,60,61],"Nurses' Occupational Health","Mental Health","Occupational Exposure","Reproductive Health",[63,64,65],"Nurses, Occupational Health, Questionnaire Survey","Nurse health status","Nurse Health Cohort Study","2026-06-10",{"date":68,"type":36},"2026-06-12",{"date":66,"type":20},{"date":71,"type":20},"2032-12-31",{"name":73,"class":43},"LanZhou University",{"id":75,"slug":76,"hasResults":11,"nctId":77,"briefTitle":78,"officialTitle":79,"acronym":4,"eligibilityCriteria":80,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":81,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":83,"conditions":84,"keywords":90,"overallStatus":93,"whyStopped":4,"lastUpdateSubmitDate":94,"lastUpdatePostDateStruct":95,"startDateStruct":97,"completionDateStruct":99,"leadSponsor":101,"locationsCount":44},"100637379","impact-of-online-medical-misinformation-100637379","NCT07601308","Impact of Online Medical Misinformation","Impact of Online Medical Misinformation on Medication Adherence, Treatment Decisions, and Health-Seeking Behavior Among Patients With Chronic Diseases","Inclusion Criteria:\n\n* Adults ≥ 18 years\n* Disease duration ≥ 6 months\n* Social media use at least once weekly\n* Able to provide informed consent\n\nExclusion Criteria:\n\n* Severe cognitive or psychiatric disorders",{"count":82,"type":20},300,"This mixed-methods study aims to examine the impact of exposure to online medical misinformation on medication adherence, treatment decision-making, and healthcare-seeking behavior among patients with chronic diseases. The study targets patients with hypertension, diabetes mellitus, and dyslipidemia and evaluates how misinformation influences real-world health behaviors. Quantitative and qualitative data will be collected concurrently to provide a comprehensive understanding of misinformation-related health risks.",[85,86,87,26,88,89],"Medical Misinformation","Medication Adherence","Health-Seeking Behavior","Diabetes (DM)","Hypertension (HTN)",[91,92,86],"Online Misinformation","Chronic Disease","RECRUITING","2026-06-04",{"date":96,"type":36},"2026-06-05",{"date":98,"type":20},"2026-05-15",{"date":100,"type":20},"2026-06-30",{"name":42,"class":43},{"id":103,"slug":104,"hasResults":11,"nctId":105,"briefTitle":106,"officialTitle":106,"acronym":4,"eligibilityCriteria":107,"healthyVolunteers":52,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":108,"targetDuration":4,"studyType":55,"phases":4,"briefSummary":110,"conditions":111,"keywords":113,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":119,"lastUpdatePostDateStruct":120,"startDateStruct":122,"completionDateStruct":124,"leadSponsor":126,"locationsCount":44},"100643367","real-world-data-linkage-research-platform-100643367","NCT07635355","Real-World Data Linkage Research Platform","Inclusion Criteria:\n\n* Participants will be eligible for inclusion if they meet all of the following criteria:\n\n  1. Availability of any health-related data generated from routine clinical care, health examinations, or disease surveillance systems, regardless of disease type or health status.\n  2. Presence of at least one type of usable data, including but not limited to diagnostic information (structured or unstructured), laboratory results, imaging data, or basic demographic information.\n  3. Records contain sufficient information (appropriately anonymized) to allow data organization and, where feasible, linkage at the individual level across time points or data sources.\n\nExclusion Criteria:\n\n* Participants or records meeting any of the following criteria will be excluded:\n\n  1. Records lacking minimal essential information required to distinguish individual records or support basic analysis (e.g., completely missing identifiers or time information).\n  2. Records confirmed to be invalid, including system-generated test data, corrupted entries, or records that do not represent real clinical or health-related events.\n  3. Exact duplicate records that cannot be resolved through standard data processing (only one record will be retained when duplicates are identifiable).",{"count":109,"type":20},300000,"This study aims to address the lack of intelligent governance tools in clinical data management to promote efficient governance and secure sharing of real-world health data. To achieve this, a self-adaptive, automated governance intelligent agent will be developed based on a High-Order Programming (HOP) architecture, integrating Large Language Models (LLMs) and deep learning techniques. The agent will continuously monitor and correct data quality issues in real time, improving data accuracy and usability.\n\nIn parallel, the project will establish a trusted data-sharing framework by integrating AI Confidential Computing (AICC) with Trusted Data Matrix (TDM) technologies. This framework will enable secure, real-time cross-institutional data exchange and collaborative computation while protecting sensitive information.\n\nOverall, the study aims to transform fragmented clinical data into high-quality, standardized, and securely accessible resources, thereby facilitating the circulation of data value and advancing collaborative medical research.",[26,112],"Sub-optimal Health",[114,115,116,117,118],"Real-world data","Intelligent data governance","confidential computation","trusted data matrix","chronic diseases","2026-06-03",{"date":121,"type":36},"2026-06-09",{"date":123,"type":20},"2026-05-30",{"date":125,"type":20},"2030-12-31",{"name":127,"class":43},"Beijing Friendship Hospital",{"id":129,"slug":130,"hasResults":11,"nctId":131,"briefTitle":132,"officialTitle":133,"acronym":4,"eligibilityCriteria":134,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":135,"targetDuration":4,"studyType":21,"phases":137,"briefSummary":138,"conditions":139,"keywords":142,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":145,"lastUpdatePostDateStruct":146,"startDateStruct":148,"completionDateStruct":150,"leadSponsor":152,"locationsCount":4},"100592705","physical-health-improvement-intervention-for-people-admitted-to-mental-health-service-100592705","NCT06996899","Physical Health Improvement Intervention for People Admitted to Mental Health Service","Establishing Utility of a Physical Health Improvement Intervention in a Regional Mental Health Impatient Service: a Multimethod Study","Inclusion Criteria:\n\n* This study is being carried out in an inpatient service therefore clinical staff must be registered by their professional governing body with a minimum of 6 months employment at the service or within the region to participate in stages 2 and 3. Graduate clinicians with less than 6 months working experience will be excluded from the study. Clinicians new to the region with less than 6 months working experience in location will be excluded from the study. Clinical roles within the facility include but not limited to:\n\n  * Nurses (enrolled or registered)\n  * Psychiatrists\n  * Psychologists\n  * Social Workers\n\nClients of the inpatient mental health service eligible to be included in the study must be:\n\n* Over the age of 18 years\n* Able to read, understand and speak English\n* A current or previous user of the hospital's services\n* A current or previous user of the inpatient services\n* A carer of someone who is a current or previous user of the inpatient mental health service\n* Able to provide consent\n* Not an employee\n* Not a health professional",{"count":136,"type":20},25,[23],"This study aims to codesign and implement a physical health improvement behaviour change intervention for people being treated for a mental illness in a mental health inpatient unit of a regional hospital.",[140,141,26],"Physical Health","Mental Illnesses",[143,144],"Implementation Research","Health Improvement Profile","2026-03-17",{"date":147,"type":36},"2026-03-19",{"date":149,"type":20},"2026-07",{"date":151,"type":20},"2028-12",{"name":153,"class":43},"Charles Darwin University",{"id":155,"slug":156,"hasResults":11,"nctId":157,"briefTitle":158,"officialTitle":159,"acronym":4,"eligibilityCriteria":160,"healthyVolunteers":52,"sex":16,"minAge":161,"maxAge":162,"enrollmentInfo":163,"targetDuration":4,"studyType":21,"phases":165,"briefSummary":166,"conditions":167,"keywords":168,"overallStatus":93,"whyStopped":4,"lastUpdateSubmitDate":170,"lastUpdatePostDateStruct":171,"startDateStruct":173,"completionDateStruct":175,"leadSponsor":177,"locationsCount":180},"100519651","evaluate-the-effectiveness-of-a-virtual-community-of-practice-100519651","NCT06046326","Evaluate the Effectiveness of a Virtual Community of Practice","Evaluate the Effectiveness of a Virtual Community of Practice Via a Web-based Application Versus Individual and Self-administered Online Education to Improve the Activation of Middle-aged People with Multimorbidity.","Inclusion Criteria:\n\n* Middleagedpeople (30-60 years old)\n* with multimorbidity (≥=2 chronic diseases).\n\nExclusion Criteria:\n\n* Low probability of cooperation in the study\n* situation of transients or displaced persons, institutionalized, with some terminal illness, physical or mental disability that prevents them from answering the questionnaires correctly.\n* When the contact telephone number\u002Femail is not available in the CAP\u002Fhospital database.","30 Years","60 Years",{"count":164,"type":20},240,[23],"Objective: To evaluate and compare the effectiveness and cost-effectiveness of a Virtual Community of Practice (VCoP) via a web-based application versus individual and self-administered online education to improve the activation of middle-aged people with multimorbidity.\n\nDesign: Randomized controlled pragmatic clinical trial with two parallel arms and 18 months follow-up.\n\nSetting: Primary health centres and hospitals (Catalonia, Madrid, and the Canary Islands). Population: Middleaged people (30-60 years old) with multimorbidity (≥=2 chronic diseases). Sample size: 240 patients.\n\nRandomization: all participants will be randomly assigned to the intervention (VCoP) or the active control group. Data analysis will be blinded to intervention allocation. Intervention: The intervention group will be offered participation for 12 months in a VCoP based on a gamified web-based application. The control group will receive individual, content-focused education through a web platform that will cover the same topics as the VCoP but will be self-administered and without social interaction within the platform.\n\nMeasurements: The main variable will be measured using the Patient Activation Measure (PAM) questionnaire at baseline, 6, 12 and 18 months. Secondary variables: participant sociodemographics, depression (PHQ-9), anxiety (HADS-A), treatment burden (TBQ), quality of life (EQ-5D-5L), variables related to the use of health resources and to the use of the VCoP. Analysis: Mixed-effects linear regression will be used to determine the effects of the VCoP on the changes in patient activation. Scores at baseline, 6, 12 and 18 months will be included as a fixed effect variable, and the patient and health professional as random effect variables. Analyses will be performed on an intention-to-treat basis. An economic evaluation will be carried out to analyze the cost-effectiveness of the VCoP compared to active control, from the National Health System and social perspectives.",[26],[26,169],"Virtual community of practice empowerment","2025-03-11",{"date":172,"type":36},"2025-03-12",{"date":174,"type":36},"2024-06-01",{"date":176,"type":20},"2026-12-01",{"name":178,"class":179},"Gerencia de Atención Primaria, Madrid","OTHER_GOV",3]