[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"usability\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:usability":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,7,0,[8,52,80,108,130,168,203],{"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":34,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":51},"100609439","nicu-utilization-of-remote-voice-technology-to-improve-maternal-experience-nurture-100609439",false,"NCT07214597","NICU Utilization of Remote Voice Technology to Improve mateRnal Experience (NURTURE)","NICU Utilization of Remote Voice Technology to Improve mateRnal Experience (NURTURE): A Randomized Controlled Trial","NURTURE","Inclusion Criteria:\n\n1. Infant:\n\n   1. Admitted to the neonatal intensive care unit (NICU)\n   2. Not readmitted after discharge from the NICU\n   3. Expected to survive at least 2 weeks\n   4. Expected to be admitted to the NICU for at least 2 weeks\n   5. Singleton gestation\n2. Mother:\n\n   1. Age ≥ 18 years old\n   2. English speaking\n   3. Mother is the biological mother of the infant admitted to the NICU\n   4. Postpartum day 4 or less\n3. Partner (NOTE: Partner enrollment is not required)\n\n   1. Mother agrees to partner's participation\n   2. Designated by mother as support person with infant access\n\nExclusion Criteria\n\n1. Infant\n\n   a. Re-admission to NICU\n2. Mother\n\n   1. No access to an Android or iOS smartphone\n   2. Unwilling to download the VoiceLove NICU app to their personal smartphone and unwilling to accept the terms and conditions of the VoiceLove app\n   3. No personal email address\n   4. Incarcerated at time of delivery or postpartum\n   5. Inability to obtain informed consent\n\n   i. Patient's clinician refuses enrollment of the patient ii. Patient is either mentally (acute psychosis) or physically (intubated or critically ill in the ICU) unable to provide informed consent f. Unable to approach the patient (staffing, patient unavailable) g. Mother is not the intended parent (plans adoption, is a surrogate, will not have custody of the infant)\n3. Partner (NOTE: Partner enrollment is not required)\n\n   1. Age \\\u003C 18 years old\n   2. Not English speaking\n   3. Inability to obtain informed consent\n   4. No access to an Android or iOS smartphone that is different from the mother's smartphone\n   5. No access to an email address that is different from the mother's email address\n   6. Unwilling to download the VoiceLove NICU app to their personal smartphone and unwilling to accept the terms and conditions of the VoiceLove app",true,"FEMALE","18 Years",{"count":21,"type":22},150,"ESTIMATED","INTERVENTIONAL",[25],"NA","The study's objective is to conduct a Phase II randomized controlled trial examining the preliminary efficacy of the VoiceLove app compared to usual care on maternal postpartum depression in mothers with infants admitted to the Neonatal Intensive Care Unit (NICU). Primary aim: Assess the effects of VoiceLove on maternal postpartum depression, measured by the Edinburgh Postnatal Depression Scale (EPDS). The estimates from this study will be used for a future definitive Phase III trial. Secondary aim: Assess feasibility, acceptability, and patterns of communication and engagement among mothers, partners, and NICU clinicians during the NICU hospitalization, measured through app usage metrics, satisfaction surveys, and qualitative interviews. Additionally, we will evaluate effects of infant length of stay.",[28,29,30,31,32,33],"Postpartum Depression (PPD)","Self-Efficacy","Parental Anxiety","Engagement, Patient","Usability","Length of Stay",[35,36,28,37,15,38],"Neonatal Intensive Care Unit","NICU","VoiceLove app","VoiceLove","RECRUITING","2026-06-15",{"date":42,"type":43},"2026-06-17","ACTUAL",{"date":45,"type":43},"2026-02-04",{"date":47,"type":22},"2028-01",{"name":49,"class":50},"Vanderbilt University Medical Center","OTHER",1,{"id":53,"slug":54,"hasResults":11,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":58,"eligibilityCriteria":59,"healthyVolunteers":17,"sex":60,"minAge":19,"maxAge":61,"enrollmentInfo":62,"targetDuration":4,"studyType":23,"phases":64,"briefSummary":65,"conditions":66,"keywords":68,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":51},"100643813","sample-collection-and-instruction-optimization-100643813","NCT07636668","Sample Collection and Instruction Optimization","SCIO: Sample Collection and Instruction Optimization","SCIO","Inclusion Criteria:\n\n* Naïve to first-void urine collection (standard urine cup is allowed)\n* Able to understand the information brochure and what the study is about","ALL","65 Years",{"count":63,"type":22},60,[25],"The aim of this study is to improve the instructions for use and to evaluate the usability of a novel first-void urine collection device.",[67,32],"Instructions for Use",[69,70],"First-void urine","Self-sampling","2026-06-03",{"date":73,"type":43},"2026-06-09",{"date":75,"type":43},"2026-05-13",{"date":77,"type":22},"2027-01",{"name":79,"class":50},"Universiteit Antwerpen",{"id":81,"slug":82,"hasResults":11,"nctId":83,"briefTitle":84,"officialTitle":85,"acronym":4,"eligibilityCriteria":86,"healthyVolunteers":11,"sex":60,"minAge":19,"maxAge":4,"enrollmentInfo":87,"targetDuration":4,"studyType":23,"phases":89,"briefSummary":90,"conditions":91,"keywords":95,"overallStatus":98,"whyStopped":4,"lastUpdateSubmitDate":99,"lastUpdatePostDateStruct":100,"startDateStruct":102,"completionDateStruct":104,"leadSponsor":106,"locationsCount":4},"100631105","integration-of-a-robotic-platform-for-clinical-monitoring-of-patients-with-severe-acquired-brain-injury-in-high-intensity-care-units-100631105","NCT07496346","Integration of a Robotic Platform for Clinical Monitoring of Patients With Severe Acquired Brain Injury in High-Intensity Care Units","A Pilot Study on the Integration of the Rob-In Care Robotic Platform in High-Intensity Care Units for Monitoring Patients With Severe Acquired Brain Injury","Inclusion Criteria:\n\n* Admission to the Neurorehabilitation Unit\n* Requirement for clinical monitoring and\u002For sub-intensive care\n* Ability to provide informed consent, or availability of a legally authorized representative to provide consent\n\nExclusion Criteria:\n\n* No indication for intensive or sub-intensive clinical monitoring\n* Expected hospitalization duration insufficient to complete the study protocol\n* Participation in another clinical study that may interfere with the present study",{"count":88,"type":22},12,[25],"Frailty is not related exclusively to age, but represents a state of increased biological and clinical vulnerability characterized by reduced functional reserve and greater susceptibility to adverse events, even in response to minor stress factors. In patients with complex conditions, such as severe acquired brain injuries, early detection and prompt treatment of clinical deterioration are essential to reduce the risk of acute readmission, complications, and in-hospital mortality. Many of these events are potentially predictable and preventable, given the presence of appropriate monitoring systems.\n\nAdvanced care models, including early warning systems, have been developed to support healthcare professionals in identifying patients at risk by detecting significant changes in physiological parameters. In recent years, technological innovations-particularly in the fields of robotics and telemedicine-have created new opportunities to enhance clinical monitoring, enabling continuous data collection and more timely, proactive interventions.\n\nSocial assistive robots are emerging as promising tools in healthcare settings. These systems can support clinicians and nurses in routine monitoring activities, help reduce workload, and facilitate more efficient and personalized care. By integrating robotic assistance with digital health platforms, it is possible to improve the quality and responsiveness of patient management, especially in high-complexity environments such as neurorehabilitation units.\n\nThis study focuses on the use of an innovative robotic telemedicine system based on the integration of the MOVER-L prototype with the ROB.IN.CARE platform, promoted by Item Oxygen (Bari, Italy). The system is designed to continuously monitor patients' clinical conditions, collecting vital parameters and identifying early signs of deterioration. It supports healthcare professionals by providing real-time data and alerts, enabling earlier and more targeted interventions.\n\nThe study is a low-intensity interventional clinical trial conducted in a Neurorehabilitation Unit. Patients with varying levels of clinical severity, classified according to the Glasgow Coma Scale, are enrolled and divided into two groups: a control group receiving standard care and an experimental group monitored using the robotic system in addition to usual care.\n\nThe primary objective of the study is to evaluate the feasibility, usability, safety, and reliability of this robotic telemedicine solution in a real clinical setting. In addition, the study assesses its acceptability among both patients and healthcare professionals. These aspects are measured using validated tools, including the System Usability Scale (SUS) and the Health and Safety Executive Stress Scale (HSE), to understand the impact of the technology on user experience and workload.\n\nThe integrated MOVER-L\u002FROB.IN.CARE system combines robotic assistance with continuous monitoring of vital signs and advanced software architecture. The platform incorporates predictive algorithms designed to stratify clinical risk and assess patient severity. It utilizes established clinical scoring systems, such as the Modified Early Warning Score (MEWS) for early detection of clinical deterioration, the quick Sequential Organ Failure Assessment (qSOFA) for sepsis risk evaluation, and the Kidney Disease: Improving Global Outcomes (KDIGO) criteria for the assessment of acute kidney injury.\n\nBy enabling early identification of clinical worsening, the system aims to improve the timeliness and effectiveness of healthcare interventions, optimize clinical workflow, and reduce the risk of adverse events and complications. Ultimately, this study explores whether robotic telemedicine can represent a safe, feasible, and valuable tool to enhance the management of fragile patients in neurorehabilitation settings.",[92,32,93,94],"User Experience","Acceptability","Satisfaction",[96,97],"Robotic platform","Monitoring system","NOT_YET_RECRUITING","2026-04-17",{"date":101,"type":43},"2026-04-22",{"date":103,"type":22},"2026-05",{"date":105,"type":22},"2026-11",{"name":107,"class":50},"Ernesto Losavio",{"id":109,"slug":110,"hasResults":11,"nctId":111,"briefTitle":112,"officialTitle":113,"acronym":4,"eligibilityCriteria":114,"healthyVolunteers":11,"sex":60,"minAge":4,"maxAge":4,"enrollmentInfo":115,"targetDuration":4,"studyType":117,"phases":4,"briefSummary":118,"conditions":119,"keywords":4,"overallStatus":98,"whyStopped":4,"lastUpdateSubmitDate":121,"lastUpdatePostDateStruct":122,"startDateStruct":124,"completionDateStruct":126,"leadSponsor":128,"locationsCount":4},"100630895","ai-based-informational-assistant-for-automated-point-of-care-documentation-and-protocol-retrieval-100630895","NCT07493616","AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval","Evaluation of an AI-based Informational Assistant for Automated Point-of-care Documentation and Protocol Retrieval in the Intensive Care Unit","Inclusion Criteria:\n\n* ICU physician (nurse practicioner, resident, or staff intensivist) at the Erasmus MC.\n* Signed informed-consent for study participation.\n\nExclusion Criteria:\n\n\\- Physicians not expected to work on the ICU during the study period will not be approached.",{"count":116,"type":22},25,"OBSERVATIONAL","Clinical rounds in the intensive care unit (ICU) involve substantial manual documentation. Retrieving the correct protocol text and structuring notes at the bedside is time-consuming and may contribute to variation in documentation quality. Modern artificial intelligence (AI) can help structure existing information and automate protocol look-ups within a restricted, manually selected document set.\n\nThe tool evaluated in this study acts as an AI-based informational assistant for clinicians. It (1) pre-populates a standardized physical-exam and daily-rounds format, (2) prepares a concise ICU course\u002Foverview using predefined formatting, and (3) retrieves relevant passages from protocols to enable rapid consistency checks by the clinician.\n\nThe AI-based informational assistant does not provide treatment recommendations or patient-specific advice; all outputs require clinician verification and clinical responsibility remains with the physician.",[120,32],"Artificial Intelligence","2026-03-23",{"date":123,"type":43},"2026-03-25",{"date":125,"type":22},"2026-07-01",{"date":127,"type":22},"2026-12-01",{"name":129,"class":50},"Willemijn Berkhout",{"id":131,"slug":132,"hasResults":11,"nctId":133,"briefTitle":134,"officialTitle":135,"acronym":136,"eligibilityCriteria":137,"healthyVolunteers":11,"sex":60,"minAge":19,"maxAge":138,"enrollmentInfo":139,"targetDuration":4,"studyType":23,"phases":141,"briefSummary":142,"conditions":143,"keywords":155,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":159,"lastUpdatePostDateStruct":160,"startDateStruct":162,"completionDateStruct":164,"leadSponsor":166,"locationsCount":51},"100531998","the-fit-with-us-study-100531998","NCT06207084","The Fit With Us Study","Precision-based Teleexercise Trial to Increase Adherence in People With Disabilities","FITWITHUS","Eligible participants must meet the following criteria to be included: (1) live with a permanent physical disability that limits their mobility; (2) be 18 to 89 years of age; (3) have broadband internet access; (4) be able to speak and read English; and (5) be able to attend coaching and training sessions during the weekdays.\n\nParticipants are excluded from participation if they (1) possess significant visual acuity that prevents seeing a computer screen to follow a home exercise program; (2) have been regularly engaging in exercise for the previous 3 months; (3) are unable to use their arms and their legs at all to exercise; (4) are unsafe to exercise; (5) self-report that they are currently pregnant","89 Years",{"count":140,"type":22},257,[25],"The purpose of this 32-week study is to use an innovative experimental design known as SMART (Sequential Multiple Assignment Randomized Trial), which will allow us to determine the best way to sequence the delivery of teleexercise (referred to as an adaptive intervention), combined with predictive analytics on participant adherence in a stepped program of physical activity interventions. All 257 participants will have access to a library of recorded video exercise content, and a weekly wellness article. Some participants will receive health coaching calls (1st randomization). Analytic data will be used to determine which participants are responding or not responding to the intervention. Participants not responding after 4 weeks will receive either live one-on-one or group exercise training (2nd randomization). After 8 weeks, the participant will receive only pre-recorded exercise content and articles for a 24-week maintenance phase (weeks 9-32). The study outcomes are: The effectiveness of the adaptive interventions; Exploring mediating and moderating variables; Sensitivity analysis of the predictive analytics.",[144,145,146,147,148,149,150,151,152,153,32,154],"Mobility Limitations","Disability Physical","Telehealth","Health Coaching","Physical Activity","Behavior, Health","eHealth","Health Literacy","Self Efficacy","Fatigue","Predictive Model",[156,157,158],"telehealth","health coaching","disability","2026-01-07",{"date":161,"type":43},"2026-01-09",{"date":163,"type":43},"2024-09-01",{"date":165,"type":22},"2029-02-01",{"name":167,"class":50},"University of Alabama at Birmingham",{"id":169,"slug":170,"hasResults":11,"nctId":171,"briefTitle":172,"officialTitle":173,"acronym":174,"eligibilityCriteria":175,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":176,"enrollmentInfo":177,"targetDuration":4,"studyType":117,"phases":4,"briefSummary":179,"conditions":180,"keywords":186,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":193,"lastUpdatePostDateStruct":194,"startDateStruct":196,"completionDateStruct":198,"leadSponsor":200,"locationsCount":51},"100613917","usability-study-of-gestational-and-postpartum-weight-management-program-100613917","NCT07272824","Usability Study of Gestational and Postpartum Weight Management Program","Usability Study of Gestational and 6 Months Postpartum Weight Management Program - Hope D","Hope-D_Use","Inclusion Criteria:\n\n* General pregnant women with prepregnancy BMI at least 30 kg\u002Fm2\n* Competence in using the digital care pathway and electronic maternity card\n\nExclusion Criteria:\n\n\\- Significant difficulty in cooperating (e.g. inadequate Finnish language skills)","50 Years",{"count":178,"type":22},30,"The principal aim of this study is to evaluate the usability of the Hope-D gestational and 6 months postpartum weight management program. We will evaluate the usability, functionality, and acceptability of the developed Hope-D weight management program that includes digital pathway for weight management, general or individual weight management plan and individual or group coaching for weight management from pregnancy to 6 months postpartum.",[181,182,183,184,185,32],"Pregnancy","Postpartum","Obese Pregnant Women","Weight Management","Digital Intervention",[187,188,189,190,191,192],"Hope-D","digital pathway","Gestational weight management","Postpartum weight management","gestational weight management plan","coaching","2025-12-16",{"date":195,"type":43},"2025-12-23",{"date":197,"type":43},"2025-12-09",{"date":199,"type":22},"2026-01-31",{"name":201,"class":202},"Turku University Hospital","OTHER_GOV",{"id":204,"slug":205,"hasResults":11,"nctId":206,"briefTitle":207,"officialTitle":208,"acronym":209,"eligibilityCriteria":210,"healthyVolunteers":11,"sex":60,"minAge":19,"maxAge":4,"enrollmentInfo":211,"targetDuration":4,"studyType":23,"phases":213,"briefSummary":214,"conditions":215,"keywords":217,"overallStatus":98,"whyStopped":4,"lastUpdateSubmitDate":219,"lastUpdatePostDateStruct":220,"startDateStruct":222,"completionDateStruct":224,"leadSponsor":226,"locationsCount":51},"100594664","feasibility-and-acceptability-of-the-technology-based-enhanced-gender-support-platform-implementation-with-parents-100594664","NCT07022392","Feasibility and Acceptability of the Technology Based Enhanced Gender Support Platform Implementation With Parents","Feasibility and Acceptability of the Technology Based Enhanced Gender Support Platform Implementation","TEGS","Inclusion Criteria:\n\n* Parent of a gender diverse youth aged 8-17\n* Has access to the internet\n* Can speak or read English\n\nExclusion Criteria:\n\n* Not a parent of a gender diverse youth aged 8-17\n* No access to the internet\n* Cannot speak or read in English",{"count":212,"type":22},36,[25],"This is a small pilot feasibility and acceptability study of implementing a Technology-Enhanced Gender Support (TEGS) platform with parents and caregivers. Parents and caregivers who consent to participate will complete an electronic survey at baseline. They will then receive access to the TEGS platform and complete follow up surveys 1 mo and 3 mo after. Each participant will also be given the option to participate in an exit interview.",[216,32],"Parents",[218],"parents","2025-06-18",{"date":221,"type":43},"2025-06-24",{"date":223,"type":22},"2025-10-01",{"date":225,"type":22},"2026-03-31",{"name":227,"class":50},"Seattle Children's Hospital"]