Clinical Research Directory

Long-Term Clinical, Health Economic, and Process Evaluation of Intensive Technology-Integrated Motor Rehabilitation in Chronic Neurological Conditions (INTeRAcT-bis)

Rehabilitation remains important in the chronic phase after stroke or spinal cord injury, as meaningful improvements may still be achieved through intensive, goal-directed, and personalized training. INTeRAcT-bis is a follow-up study of the original INTeRAcT program, which consisted of a 3-week intensive rehabilitation intervention (90 therapy hours) combining conventional therapy, goal-directed training, self-management, and advanced rehabilitation technologies. The study has two main objectives: (1) to evaluate the long-term clinical and health economic effects of the original INTeRAcT program, and (2) to assess the clinical effects and implementation of a second intensive rehabilitation period ("boost"). Participants receive a personalized 3-week rehabilitation program targeting upper and/or lower limb impairments based on their individual goals. In addition to clinical and health economic outcomes, the study examines participant experiences and implementation factors to support a broader implementation of intensive rehabilitation in the future.

Sustainability of the Effects of an Adapted Physical Activity Program on Physical Fitness and Psycho-behavioral Factors in Patients With Chronic Diseases

This study aims to determine the extent to which different approaches to adapted physical activity coaching influence physical fitness, psycho-behavioral, and anthropometric parameters in patients with stabilized chronic conditions who have been referred to a Sport-Health Center by their physician. The trial includes four parallel groups, distinguishing between two program durations (3 months or 6 months) and the use or non-use of a smartwatch as a tool for monitoring activity. All participants complete 24 sessions of adapted physical activity (APA), in accordance with the standard practices of the La Musse Sport-Health Center, where the study is entirely conducted. However, the distribution of sessions differs by group: two sessions per week over three months or one session per week over six months. Randomization is stratified by age, sex, and baseline fitness level. Assessments are conducted at the following five time points: enrollment (T0), end of the 3-month program (T1), end of the 6-month program (T2), followed by follow-up at 12 months (T3) and 18 months (T4), to observe the durability of the effects after the supervised phase. The primary outcome measure is improvement in physical fitness and anthropometric parameters, objectively measured using tests recognized for their reliability (TDM6, Sit-to-Stand 30s, Timed Up and Go, Sit and Reach, grip strength, BMI, waist circumference). The secondary outcomes focus on changes in motivation toward health-related physical activity (EMAPS), perceived self-efficacy to engage in physical activity (ECS), and self-reported physical activity (IPAQ-SF), which will be collected regularly throughout the program, more frequently than in standard care. A total of 280 patients will be enrolled to ensure sufficient statistical power, taking into account an anticipated loss-to-follow-up rate over 18 months. Data collection and processing will be pseudonymized and conducted on the secure network of La Musse Hospital.

Ageing and Health. Spanish Longitudinal Study

Ageing with Health is a longitudinal cohort study aimed to examine trajectories of health, disability and wellbeing and their determinants for Spanish ageing population. The data that makes up the baseline was collected from a nationally representative sample of non-institutionalized adults as part of the "Collaborative Research on Aging in Europe (COURAGE in Europe)" project between July 2011 and May 2012. The second wave was carried out as part of the "Age with Health" project between December 2014 and June 2015, and three years later, in 2018, the third wave was carried out. In 2019-2021, a new cohort of participants were brought in (2019 cohort), some of whom were interviewed again by telephone during the first Coronavirus (COVID-19) lockdown, in early 2020. In 2022, the fourth wave of the 2011 cohort was evaluated, and in 2023, the second wave of the 2019 cohort was evaluated. Finally, in 2025, the fifth wave of the 2011 cohort and the third wave of the 2019 cohort were evaluated, which are the last follow-ups in this study.

Impact of Implementing the Modified A-DIVA Scale on Successful Access to a Venous Line on the First Attempt

Peripheral venous access (PVA), although commonly used, can be a difficult procedure for patients with precarious venous capital. The difficulty of insertion can lead to multiple attempts, with the consequences of pain, anxiety, delayed management and worsening of the potentially already precarious venous capital. One study assessed the risk of failure according to a score based on venous status criteria. This study first established a link between venous status criteria and the risk of failure. The criteria defined as determinants were used to establish a venous status score. The data were then repeated by analyzing the success rate as a function of the scale score. A clear link between score and risk of failure was established. It seems worthwhile to evaluate the impact of implementing this scale prior to the placement of a peripheral venous line. The hypothesis is that obtaining a score predictive of failure would modify the therapeutic attitude of the registered nurse. They would opt for techniques that would increase their chances of success. This in turn would lead to a reduction in unsuccessful attempts, which generate pain and anxiety for the patient. Preserving venous capital by increasing first-attempt success is both a health issue for the patient and a guarantee of quality of care.

Development and Evaluation of an Online Shared Decision-Making Educational Program for Nurses and Patients With Chronic Diseases

This study aims to develop and evaluate an online shared decision-making (SDM) educational program for nurses and patients with chronic diseases. Shared decision-making is a process in which healthcare professionals and patients make health-related decisions together based on the best available evidence and the patient's values and preferences. The study includes an evaluation phase. In the evaluation phase, the program will be tested among nurses working in general hospitals and adults with chronic diseases living in the community. Outcomes related to shared decision-making will be assessed at baseline, immediately after the 4-week program, and 1 month later. The study is expected to improve shared decision-making competence, experience, and preparedness among both nurses and patients.

Biospecimen Analysis in Detecting Chemical Concentrations in Patients With Chronic or Infectious Diseases Receiving Meditations

This trial collects and analyzes sweat and saliva samples compared to blood in detecting chemical concentrations in the body in patients with chronic or infectious diseases receiving medications. Wearable sweat sensors are capable of monitoring electrolytes and metabolites (sodium, potassium, glucose, lactate, etc.) for health monitoring and disease diagnosis. Designing wearable sweat sensors capable of providing information regarding drug administration may be challenging due to ultralow concentrations in biofluids. This trial seeks to determine if the use of a smart wristband can accurately measure the levels of chemicals and substances in sweat.

Functional Exercise and Nutrition Education Program for Older Adults

There is strong evidence that specific types of exercise can improve health and physical function in older adults. While community exercise classes exist, many older adults with chronic conditions may need guidance from credentialed exercise professionals to ensure sufficient dose and progression and to address fears or low exercise self-efficacy. Furthermore, low protein intake among older adults is common and initiating exercise when nutrition is inadequate may cause weight loss and limit gains in muscle strength. The primary goal is to determine the feasibility of implementing the MoveSTroNg program under real-world conditions, measured through referral and recruitment to the program and study retention and adherence rates.

Housing, Environment, And Living Conditions for Transformed Health

This project will compare the health effects of public housing renovation, neighborhood built and social environment improvements, and indoor air purification, alone and in combination, as well as the cost effectiveness of each approach. STUDY 1: The study will assess the effects of public housing and neighborhood environment (built and social) improvements on health-related behaviors, psychosocial and physiologic stress, and self-reported and physiological markers of lung health and chronic disease. STUDY 2: The study will determine whether indoor air purification can positively impact lung health in public housing sites not undergoing housing renovation, comparing a site near industrial pollution vs one less contaminated.

Expanded Population Health Model Evaluation

This study will evaluate the impact of a comprehensive wellness and social determinants of health intervention on cardiovascular health in a community setting of the Bonton neighborhood. Participants will not be assigned to intervention activities, but health and wellbeing indicators will be collected in relation to how they choose to participate in activities over the year.

Compassionate Communities Neighbourhood Program

This study will evaluate a Compassionate Communities-based intervention aimed at reducing social isolation by mobilizing individuals to act on their health and social needs individually, and in collaboration with fellow members of their community. The intervention program includes facilitated building of neighbourhood networks (member benefits include access to practical help, the opportunity to develop meaningful relationships, and community mobilization), and coaching support to work on individualized goal setting and more detailed navigation support and planning.

ECHO for Diabetes and Multiple Chronic Conditions Study

Diabetes mellitus is a chronic condition that affects the body's ability to process sugar effectively, which over time can increase the risk of heart disease, high blood pressure, and kidney damage. Other chronic conditions include high cholesterol, obesity, and depression. Persons with diabetes mellitus and multiple chronic conditions (DMMC) face higher risks of losing physical or mental function, experiencing other chronic conditions, and death. Most of the residents of New Mexico (NM) belong to groups at risk for developing DMMC. Finding quality healthcare is a key factor, as NM also ranks among the largest, poorest, and most rural states. Primary care providers (PCPs) most often treat DMMC patients, but healthcare teams can lack confidence in managing these complex patients and struggle to keep up with recommended guidelines. This Project ECHO model (ECHO) for DMMC, a telehealth intervention for healthcare teams, can lead to lower blood sugar levels in DMMC patients being treated at NM primary care clinics. ECHO is a "telementoring" program that trains healthcare teams to provide specialized medical care at their local clinics. This is done by connecting healthcare teams with specialist mentors at academic medical centers through videoconferencing sessions. During ECHO program sessions, groups of healthcare teams hear lectures on key topics in DMMC care from experts, and then give presentations of anonymous patient cases by a healthcare teams for discussion and to receive recommendations. This clinical pragmatic trial aims to learn if the intervention will improve patient blood sugar levels in persons with DMMC who are being treated at selected health clinic sites throughout New Mexico. The study aims to answer: * Whether a 0.5% drop in HbA1c on average can be achieved in the group whose healthcare teams are receiving the ECHO intervention compared to the comparator group, whose providers will not receive the intervention. * Whether the rate of an individual's HbA1c was greater than 8.5% at the baseline will be reduced by 15% at the end of the intervention. Researchers will compare health data for patients empaneled to healthcare teams in the study and the usual care comparator group both before and after the intervention period to see whether the ECHO model has a positive influence on test results.

Prediction of Chronic Disease Using Explainable Hybrid Machine Learning

In this study, a 28-item questionnaire developed by the researchers (Aysun Atacan and Gülşen Taşkın) will be used as the data collection tool. Since the intellectual property rights and developer identity belong to the researchers, there are no copyright or usage restrictions. Containing both qualitative and quantitative evaluation questions, the questionnaire consists of 5 main sections: personal information, daily life assessment, walking level assessment, household chores assessment, and work/workplace assessment. Eight of the questions cover sociodemographic information, while 20 focus on determining and evaluating physical activity levels in daily life, walking, home, work, and transportation. Participants are asked to answer the questions by considering their lifestyle over the past month. Based on these data-recorded according to how many days per week and how many minutes per day the activities are performed-calculations will be made by multiplying the MET value, frequency (days/week), and duration (minutes/day) to obtain the "MET-min/week" score. Participants will be categorized into three groups based on their total weekly MET expenditures: \<600 MET-min/week as inactive, 600-3000 MET-min/week as minimally active, and \>3000 MET-min/week as health-enhancing physically active (sufficiently active); and into groups based on their average daily step counts: \<5000 as sedentary/inactive, 5001-7499 as low active, 7500-9999 as somewhat active, 10000-12499 as active, and \>12500 as highly active. Chronic disease risk predictions will then be evaluated via machine learning based on these physical activity levels and step counts. The primary aim of this research is to quantitatively demonstrate the impact of physical activity levels and lifestyle habits on chronic disease risk factors using machine learning (ML) methods. The models to be developed aim not only for high predictive performance but also for the clinical interpretation of which physical activity parameters are more decisive on disease risk, utilizing explainable artificial intelligence methods such as SHapley Additive exPlanations (SHAP). Consequently, the goal is to establish a decision support mechanism for the early detection of individuals at risk and to place personalized exercise prescriptions on a scientific foundation.

A Web-Based Tool to Help People With Health Conditions Make Contraceptive Decisions

Among people who do not want to get pregnant, some do not use any birth control. This is also called contraceptive nonuse. Common reasons for contraceptive nonuse include concerns about birth control safety or side effects. People with health conditions, such as diabetes or high blood pressure, also report worries about how different birth control methods might affect their health condition or medicines. The goal of this clinical trial is to learn if a web tool called My Health, My Choice helps people with health conditions understand their birth control options and choose birth control that is right for them. The study will also look at the medical safety of birth control methods that participants decide to use. The main questions it aims to answer are: • Does the My Health My Choice tool lower the number of participants who do not use any birth control method? (contraceptive nonuse) In other words, does the My Health My Choice tool increase the number of participants who use any birth control method? (contraceptive use) Participants who use the My Health, My Choice tool before a clinic visit with their clinician (Intervention Group) will be compared to participants who only go to a clinic visit with their clinician (Usual Care Group). For this study, a "clinician" is any licensed health care provider who counsels about birth control, prescribes birth control, and/or inserts birth control devices. All participants will: * Complete 4-5 online surveys that take 5-10 minutes each, over a 3 month time period * Be asked to go to a scheduled clinic visit with their health care provider * A small group of participants (about 30) will be invited to a 1 hour exit interview Participants in the intervention arm will be asked to: • Use the My Health My Choice tool before their clinic visit

Taining Golden Lake Comprehensive Chronic Disease Management Initiative

This study aims to establish the first county-level, population-based prospective cohort in Taining County, Fujian Province, China. The cohort will include at least 20,000 residents aged 18 years or older. The project will systematically collect questionnaires, physical measurements, laboratory tests, imaging data, and biological samples to build a multi-dimensional health database and biobank. Through 3-year follow-up, the study seeks to reveal the epidemiological patterns and risk factors of chronic diseases, characterize the natural course of multimorbidity and aging syndromes, and develop a comprehensive chronic disease management model suitable for rural and mountainous regions.

Sustainable Exercise and Nutrition Programs for Managing Metabolic Disorders in Older Women

This study aims to evaluate the impact of sustainable diet and exercise programs on metabolic health and quality of life in older women. Participants will be assigned to different intervention groups including supervised physical training, personalized dietary guidance based on the Mediterranean dietary pattern, or a combination of both. The programs will be implemented over several weeks, with continuous monitoring of variables such as body composition, functional capacity, strength, fatigue perception, sleep quality, and emotional well-being. The project also includes the development of a digital platform to support remote engagement and long-term health behavior change.

Sharing and Talking About my Preferences

The purpose of this study is to figure out the best way to help veterans do advance care planning. This study will examine the effects of two theory based behavior interventions by randomizing veteran into 4 groups to see which veterans will complete the 4 step process of advance care planning.

Health Literacy, Rational Drug Use, and Cyberchondria in Rheumatic Diseases

Purpose: This study aimed to evaluate rational drug use (RDU), health literacy (HL), and cyberchondria levels among individuals diagnosed with inflammatory rheumatic diseases, and to investigate the factors associated with these three key health-related variables. Methods: This research was designed as a cross-sectional study and conducted between December 2024 and May 2025. The study enrolled three cohorts: a case cohort comprising patients diagnosed with rheumatic disease as patient group (group 1); a disease control cohort of knee osteoarthritis (group 2), and a reference control cohort of age- and sex-matched healthy participants (group 3). Disease Activity Score 28 (DAS28) was administered to patients with rheumatoid arthritis; Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) was administered to patients with ankylosing spondylitis; Psoriatic Arthritis Disease Activity Index (DAPSA) was administered to patients with psoriatic arthritis; Western Ontario and McMaster University Osteoarthritis Index (WOMAC) was administered to patients with knee osteoarthritis; and Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Turkey Health Literacy Scale-32 (THLS-32), Rational Drug Use Scale (RDUS), and Cyberchondria Severity Scale (CSS) were administered to all participants. Results: The study sample consisted of 228 participants, with 76 individuals assigned to each of the three groups. Mean age, and gender distribution were similar in all three groups. Statistically significant variations were observed across the three groups regarding THLS-32, RDUS, and CSS scores (p \< 0.001). Group 1 had the highest HL and RDUS scores, and moderate CSS scores. In contrast, Group 2 showed the lowest HL and RDUS scores, while Group 3 demonstrated the highest CSS scores. HL was positively correlated with RDU (r = 0.552, p \< 0.001), and moderately negatively correlated with cyberchondria (r = -0.448, p \< 0.001). These results indicate that higher HL is associated with more rational medication behavior and reduced susceptibility to online health-related anxiety. (p\< 0.001). Conclusions: To our knowledge, this is the first study to simultaneously investigate RDU and CSS in individuals diagnosed with RA, AS, and knee osteoarthritis. Our findings demonstrate that higher levels of HL are significantly associated with more appropriate medication behaviors and lower levels of internet-related health anxiety. These results emphasize the multidimensional role of HL, not only in promoting RDU but also in mitigating maladaptive digital health information-seeking patterns.

Virtual Outreach and Individualized Coaching Extension

This study tests whether a nurse-led program that uses a voice-controlled smart speaker in the home helps older adults better manage their chronic health conditions. It also examines which nursing staff and clinic resources would be needed to offer such a program in regular outpatient care.

AI-Assisted Personalized Heat-Risk Alerts

This two-arm randomized controlled trial will evaluate whether an artificial intelligence-assisted personalized heat-risk alert system reduces heat-related illness symptom burden among adults with chronic conditions. The intervention will integrate prespecified clinical characteristics with the Pakistan Meteorological Department's same-day forecast maximum temperature to classify individual heat-related acute clinical-event risk and deliver personalized alerts through a mobile application. The control group will receive a generic PMD heat-health advisory through the same application.

Promoting Goals-of-Care Discussions for Patients With Memory Problems and Their Caregivers

The goal of this clinical trial is to improve communication among clinicians, patients with memory problems, and their family members. We are testing a way to help clinicians have better conversations to address patients' goals for their healthcare. To do this, we created a simple, short guide called the "Jumpstart Guide." The goal of this research study is to show that using this kind of guide is possible and can be helpful for patients and their families. Patients' clinicians may receive a Jumpstart Guide before the patient's clinic visit. Researchers will compare patients whose clinician received a Jumpstart Guide to patients whose clinician did not receive a guide to see if more patients in the Jumpstart Guide group had conversations about the patient's goals for their healthcare. Patients and their family members will also be asked to complete surveys after the visit with their clinician.

Improving the Collaborative Health of Adult Dyads

This study tests the efficacy of a dyadic intervention to mitigate the adverse health consequences of adults with pre-existing chronic health conditions and their informal carepartners (IC). Socioeconomically disadvantaged, older, and people from rural regions are more likely burdened with greater rates of chronic diseases such as diabetes, hypertension, chronic kidney disease, cardiovascular disease, and stroke.

A Long-term Observational Study to Describe the Use of Vitamin-C Injektopas® 7.5 g in Patients With Vitamin C Deficiency

The goal of this observational study is to learn more about the disease and the symptoms where the product will use and in which patient groups. Further on, it is interesting to know clinical pictures, the symptoms improve. Patients with acute or chronical disease with vitamin c deficiency could be involved. The main questions it aims to answer are: * how do the symptoms of the disease change * how is the tolerability

Identification of Vocal Biomarkers to Monitor the Health of People With a Chronic Disease

The CoLive Voice research project aims to identify vocal biomarkers of severe conditions and frequent health symptoms. The project is based on digital technologies and statistical algorithms. This is an international anonymous survey where vocal recordings are collected simultaneously with large validated clinical and epidemiological data, in the context of various chronic diseases or frequent health symptoms in the general population.

Observational Pharmaco-Epidemiology Research & Analysis

Greater advances are needed in two separate but related areas in healthcare: 1) the Clinical Decision Support Systems that complement the EHR use in support of routine patient care, population management and disease management; and 2) the use of the point-of-care observational data from the provider-patient encounter that support realworld medical research and healthcare quality measure assessment. Real-world evaluations of treatments of chronic diseases in the context of comorbid conditions and special populations (minorities, women, mentally ill, and those with addiction) are limited. The purpose of the OPERA database is to help address this unmet need in clinical research.