Active clinical trials for "Chronic Disease"

Coronary artery disease (CAD) is the number one killer of Australians with a high risk for a recurrent event(s) and hospital readmission. Many of these readmissions can be prevented with better management to control the problem of CAD. A disease management program, led by nurses who interact with other health professionals/providers, can help with education and counselling, taking medications correctly and making healthy lifestyle changes for higher risk patients. Newer models of disease management programs make use of mobile devices (such as an "app") and telehealth (by phone or video call) to monitor and manage health which could facilitate CAD management. Therefore, the aim of this study is to test this type of disease management program (DMP) compared to standard care for reducing hospital readmissions or death in people with CAD who are at high risk of being readmitted. The Investigators envisage that a novel Risk-Guided DMP will be favorable to patients and associated with high-level participation. The Investigators hypothesize that high-risk patients randomized to Risk-Guided CAD will have reduced hospital readmissions or death compared with those randomized to usual care.

The proposed study, NC Works4Health (NCW4H), builds on the strengths of long-standing academic-community research partnerships between this UNC at Chapel Hill (UNC) team of investigators and key stakeholders across health, social service, employment, and economic development sectors. The overall goal of this study is to test the effectiveness of a multilevel intervention that can be readily adopted by communities to reduce chronic disease risks in socioeconomically disadvantaged populations by (a) embedding prevention efforts in DSS-E programs at the individual level, and (b) enhancing supervisor supports for DSS-E hires at the employer level. Interventions at each level, and their joint effects, are designed to mitigate the psychological, behavioral, and clinically relevant risks for chronic disease onset, morbidity, and comorbidity that accrue with unemployment and the employment-entry transition.

The goal of this integrated project is to assess whether EFNEP is a cost-effective nutrition education intervention that generates sustained improvement in chronic disease biomarkers. This project will be unique in its use of objective biomarkers, instead of self-reported behaviors, to quantify the economic benefits generated by EFNEP through chronic disease prevention. A paired location untreated control group quasi-experimental design will be employed, with biomarkers (BMI, blood pressure, HbA1c) measured for 500 adults across four representative state EFNEP programs (CO, FL, MD, WA). Biomarkers will be measured pre-EFNEP, 6-months-post-EFNEP and 1-year-post-EFNEP. Analytical techniques will include cost-benefit, bivariate, and multivariate analyses.

Investigators are building a program that uses improvisation to teach kids and teens with medical issues healthy ways to cope. Medical issues have been linked to anxiety and depression. Doing theatre can prevent these complications. Participants will meet in groups of about ten for ten weeks to do improvisation that is fun and supportive. Participants will meet with a study team member before the program starts, after the program ends, six months after the program ends, and twelve months after the program ends. At these visits, participants will be screened for anxiety, depression, quality of life, and will be given a short interview.

This study aims to provide a mobile-apps-based intervention to facilitate individuals with chronic diseases such as high blood pressure and diabetes to adopt healthy behaviours. The intervention is based on Motivational Interviewing, a clinical technique used to enhance an individual's behavioural changes. The proposed research project comprises developing and validating the "Health in Mobile" app, which we call e-MI, which will then be launched to members of the three District Health Centre Express (DCHEs) who have presented with clinical/preclinical chronic health issues such as high blood pressure and diabetes. The participants are registered members of the three DCHEs. The targeted sample size is 1600 members, with 1200 are in the e-MI group while the other 400 are in the waiting list control group.

The overarching goal of this project is to leverage health information technology (HIT) to integrate available digital information on social needs to improve care for racial and ethnic minorities and socially disadvantaged populations with chronic diseases. In the previous phases of this project the investigators developed a social risk score to identify social needs among medically under-served patients with special emphasis on application among African American patients with low income and chronic diseases who face social determinants, risk factors, and needs (SDRN) challenges. The investigators also developed a clinical decision support (CDS) tool to present the social risk score to clinical providers and sought feedback from different users on the face and content validity of the CDS tool. In the current project the investigators will run a randomized clinical trial (RCT) study to pilot test the new risk score and CDS tool in selected primary care clinics at Johns Hopkins Health System (JHHS) and in collaboration with selected community-based organizations (CBOs). This system will help identify, manage, and refer patients with both high levels of disease burden and modifiable SDRN challenges.

The purpose of this study is to assess if the benefits for children with medical complexity (CMC) receiving comprehensive care (CC) in an enhanced medical home can be further improved by enhanced telemedicine program (ETM) provided during clinic hours using mobile devices to measure temperature& oxygen saturation, auscultate the heart & lungs, and view the skin, throat, & tympanic membranes in the home.

Patients with multiple chronic conditions (MCC) have a range of needs that extend beyond traditional medical care, including behavioral, mental health, and social needs. While primary care does its best to address these needs, few practices can undertake a systematic approach without broader health system and coordinated community support. Fortunately, communities and health systems are investing in new models of care to address these needs. New tools are emerging that allow for enhanced care planning to identify and prioritize patients' needs based on their values, preferences, social, and clinical context. Additionally, support systems to promote partnerships between patients and clinical and community care teams are emerging. Building on work occurring as part of the Richmond Accountable Health Community, the investigators propose to (a) evaluate the implementation of an enhanced care planning approach, paired with community-clinical linkages support to address health behavior, mental health, and social needs; (b) determine within a randomized controlled trial the benefit of this approach compared to usual care; and (c) assess which person, family, community, and system contextual factors that influence MCC.

Chronic illness is a public health issue and mobility loss is frequent in this population. Among its' multiple physical and psychological consequences, increased mortality and cardiovascular morbidity seem the main concern. Therefore, the exploration of locomotor deficiencies, physical capacities and metabolism of patients with chronic illnesses constitutes a major challenge both for the treatment of causal pathologies, as well as for evaluating the impact of therapeutic interventions, the benefit of which will be an improvement in physical capacities and ultimately mobility. In view of the hypothesis of an increase in the prevalence of mobility disorders in this population, this approach is part of a logic of screening and improving the effectiveness of the care of these patients with a multidisciplinary evaluation of individual risks. The EVALMOB protocol was designed in order to try to determine a standard profile of "dysmobility" in patients with chronic illness

This study aims to predict and minimize post-discharge adverse events (AEs) during care transitions through early identification and escalation of patient-reported symptoms to inpatient and ambulatory clinicians by way of predictive algorithms and clinically integrated digital health apps. We will (1) develop and prospectively validate a predictive model of post-discharge AEs for patients with multiple chronic conditions (MCC); (2) combine, adapt, extend, and iteratively refine our EHR-integrated digital health infrastructure in a series of design sessions with patient and clinician participants; (3) conduct a RCT to evaluate the impact of ePRO monitoring on post-discharge AEs for MCC patients discharged from the general medicine service across Brigham Health; and (4) use mixed methods to evaluate barriers and facilitators of implementation and use as we develop a plan for sustainability, scale, and dissemination.