View clinical trials related to Multimorbidity.
Filter by:Physical activity (PA) and sedentary lifestyle are determinants in the development of chronic diseases and associated quality of life alterations. PA levels are correlated with quality of life and morbidity in chronic lung disease (COPD), cardiovascular disease, diabetes, cancer, chronic inflammatory rheumatism, fibromyalgia and anxiety disorders. In these diseases, low-intensity PA often represents the main PA and the quantity of PA is correlated with health parameters. This study aims to identify a typical profile (signature) in relation to the appearance of other chronic diseases, complications of your disease, from recording your physical activity and sedentary lifestyle by sensors evaluating very precisely the movements and taking into account the characteristics and disability related to your disease. The results of this study would therefore make it possible to identify this signature even before the appearance of complications or other diseases.
A prospective qualitative quantitative study was designed to create predictive models of readmission in multimorbid patients.
The VetASSIST study is a randomized clinical trial testing whether receiving virtual health coaching from Veteran peers improves the physical and mental health-related quality of life of Veterans with multiple chronic health conditions and complex healthcare needs. VetASSIST will test the efficacy of an intervention that matches Veteran patients with multimorbidty with Veteran health coaches who will provide education, resources, guidance and support to help them manage their physical and mental health over the course of a year.
Elderly GP patients are often treated with five or more medications and therefore prone to adverse drug reactions (ADR). Potentially inappropriate prescriptions (PIPs) lead to increased adverse events like falls, hospitalizations and mortality. The primary aim of this study to reduce the frequency of ADRs in multimorbid patients aged 70 years and older by reducing polypharmacy.
Multiple long term conditions entails various needs for complex medication treatment, which is a huge clinical challenge considering medication interactions and disease-medication interactions. It might affect quality of life, increase medical costs and needs, and cause patients to live several years with disabilities and reduced functional level. Multiple long term conditions is an important public health problem, since it is increasingly more common as the population is getting older. It is well documented that communication problems exist between sectors in the healthcare system and that it creates an area of risk. There are many transfers that could be associated with risk for errors, as when patients are discharged from the hospital and is being transferred to the next level of care. When patients are discharged from the hospital, there is a need for transfer of correct information regarding medications. Transition of care leads to risk for medication discrepancies for the patients. Medication discrepancies are common within primary care and studies show that up to 90% of patients have at least one medication discrepancy in their lists. Different interventions have been tested to reduce medication discrepancies, but the interventions do not eliminate the need for medication reconciliations. Higher patient satisfaction have been associated with improved patient safety, clinical effectiveness, health outcomes, adherence and lower resource utilization. According to Norwegian legislation, patients or users have a right to participate in the implementation of healthcare services, e.g. the choice between available and justifiable forms of service, examination methods and treatment methods. Person-centered care (PCC) is a concept that shifts the focus away from the traditional biomedical model to personal choice by applying shared decision-making. PCC reduce symptom burden, enhance patient activation, reduce readmission rates and improve quality of life. Obtaining knowledge about medication discrepancies and perceptions from patients, next of kin and healthcare personnel (HCP) after the patient's hospital discharge could contribute to a better success rate for future interventions and services. It is therefore of interest to investigate which factors that are of importance for a successful seamless person-centered intervention to optimize medication use across healthcare levels. To obtain knowledge about medication discrepancies and perceptions, the study will include both quantitative and qualitative methods, and be using a design thinking framework. The persons included will represent a wide selection with respect to, among other things, age, gender, socio-economic background, profession and diagnoses. The patients, next of kin and HCP will be included after written, informed consent. The aim of the project is to obtain knowledge about how the investigators can strengthen patient's self-efficacy and improve the information flow when it comes to medications, in the transition between the healthcare levels. To do so, the investigators need to identify facilitators and barriers to achieve a seamless medication treatment based on the user's needs. The results will form a basis for a new, improved intervention, which follow patients during the hospital stay and further out in the primary healthcare. The aim of this project is divided into the following parts: - Investigate the frequency and type of medication discrepancies between the medication list in the discharge summary and medication use after hospital stay, to identify risk factors for which and why medication discrepancies occur in patients with multiple long term conditions. - Map the perceptions of patients with multiple long term conditions and next of kin regarding medication use, shared decision-making and their opinions about previously published interventions to improve medication use. - Evaluate HCP's perceptions regarding elements in patients with multiple long term conditions care that works well, what HCP believe do not work, with particular emphasis on the treatment with medications and transfer of care. In addition, how this care could be improved especially with the new intervention in mind. - Using design thinking framework to create prototypes for a new intervention Overall hypothesis for the project: Knowledge about medication discrepancies and perceptions from patients, next of kin and HCP regarding barriers and facilitators for a seamless medication treatment can contribute to an improved efficacy and implementation of the new, improved intervention.
Patients with complex multimorbidity experience a high treatment burden, fragmentation of care and poor clinical outcomes. General practice is the key organizational setting in terms of offering these patients integrated, longitudinal, and patient-centered care. Therefore, we propose a new general practice based model to improve overview, patient involvement and integration of care. The new care model consist of a teaching session on multimorbidity for the health care professionals, a prolonged overview consultation for patients with complex multimorbidity with the general practitioner, resulting in an individual care plan shared with the municipalities and secondary care, access to cross-sectoral video conferences with secondary care specialists and. Control practices provide health care as usual. We evaluate the care model in a cluster-randomized non-blinded, parallel-group trial in general practice. Fourteen general practices are allocated 1:1 to either intervention or control. We evaluate the effectiveness of the intervention with patient-reported questionnaire at baseline, 6-month follow-up, and 12-month follow-up. Primary outcome measure is the Patient Assessment of Chronic Illness Care (PACIC). Secondary outcome measure includes patient-reported quality of life and the treatment burden for the patients with multimorbidity. Furthermore, the project include a process evaluation of the complex intervention with the objective to assess how the intervention is delivered and to identify important facilitators and barriers for implementing the intervention. The new model is integrated into the existing health care system structures and has the potential for a sustainable improvement in care for patients with complex multimorbidity.
This study is being done to find out if a multi-faceted intervention designed to optimize medication in hospitalized older people with multiple chronic medical conditions exposed to multiple medications can reduce unplanned hospital readmission and emergency department attendance compared to current usual medication management. The study intervention aims to minimize potentially inappropriate medications in a structured way and involves follow up with patients and GPs. Patients will be allocated equally to (i) standard medication management (control arm) or (ii) trained physician-delivered intervention or (iii) clinical pharmacist-delivered intervention.
People affected by multiple chronic diseases have a greater chance of hospitalization, longer hospital stays, worse general health, worse physical and mental function and lower functional capacity, with an average risk of 50% of functional decline with each additional condition. The frequency of multimorbidity is higher in older, inactive women, who live in urban areas in low- and middle-income countries, the most affected by multimorbidity. The practice of physical exercise is an important component in the prevention of multiple chronic diseases, in which lower levels of physical activity were associated with an increased prevalence of multimorbidity in women aged 16 to 24 years. And regardless of the presence of multimorbidity, engaging in a healthier lifestyle, including regular physical activity, was associated with up to 7.6 more years of life for women, improving the individual's general health status even when multimorbid. The hypothesis is that multimorbid women have a worse general health status when compared to women without multimorbidity, but aerobic exercise will be able to improve health parameters in 12 weeks of training. This is a quasi-experimental clinical trial with a 12-week aerobic training intervention in postmenopausal women with and without cardiometabolic multimorbidity. Participants were allocated into groups according to the amount of cardiometabolic diseases, with the Morbidity group (MORB) being composed of women with one or no chronic cardiometabolic disease and the Multimorbidity group (MULTI) with two or more chronic cardiometabolic diseases. The assessments of arterial stiffness, 24-hour ambulatory pressure, blood pressure variability, heart rate variability, lipid and glucose profile, body composition and climacteric symptoms were performed before and after the training period. The study was carried out at the Laboratory of Cardiorespiratory and Metabolic Physiology at the Faculty of Physical Education of the Federal University of Uberlândia, Uberlândia, Brazil and approved by the Ethics Committee for studies in humans (CAEE: 12453719.1.0000.5152). All participants signed a consent form. The experiments followed the principles of the Declaration of Helsinki. The program consists of aerobic physical exercises performed three times a week on non-consecutive days for 12 weeks with an intensity of 65% to 75% of the reserve heart rate.
Veterans at high-risk for hospitalization, including those with complex care needs, represent a large population of VHA patients who often do not receive evidence-based primary care practices that would help them avoid the hospital and improve their health. The high-RIsk VETerans (RIVET) Program will implement evidence-based practices that can support VHA Primary Care teams to deliver more comprehensive and patient-centered care, better strategies to manage medications, and avoid unnecessary hospitalizations. The RIVET Program is designed to find the most effective approaches to increasing use of evidence-based practices for high-risk Veterans in primary care, provide rapid data feedback to VHA on high-risk patient care, build capacity for the implementation of evidence-based practices, and train future leaders in high-risk Veteran care.
In this study, the objective is to evaluate available technology designed to support self-care at home of elderly patients with multimorbidity. Of people who are 85 years or older, about 60% have two or more chronic diseases. The symptom burden is extensive, and periods of deterioration often lead to hospitalizations and early readmissions to hospital. A contributing factor for the high consumption of care is that many patients find it difficult to identify signs of deterioration and in time take appropriate action. Technology placed in patients' home are becoming common and have shown to increase quality of life and reduce the need for in-hospital care but few tools are used in regular care. The investigators want to see which effect technologies placed at home has on; healthcare consumption, self-care, depression, well-being and activity level. Further, the implementation process from both patients, relatives and healthcare personals perspective will be studied using a hybrid design, which makes it possible to study both barriers and facilitators of the implementation and efficacy of the technology. In phase one participants will be recruited from a care team where an established collaboration between region and municipality has been developed. In phase two, inclusion takes place in an entire municipality without a previously established collaboration. The goal is to increase patients and family members wellbeing, health and functional ability while maintaining or reducing healthcare costs.