View clinical trials related to Medication Adherence.
Filter by:The goal of the study is to look at the relationship between how individuals with Sarcoidosis take the sarcoidosis medicines and how it affects the disease, to evaluate any factors that may make individuals not want to take the medicines, and to develop and refine ways to help support individuals with Sarcoidosis especially when it comes to the medicines. The overall hypothesis is higher medication adherence will be associated with better clinical outcomes in sarcoidosis. The investigators will enroll 150 patients with biopsy proven pulmonary sarcoidosis for at least one year who are on any oral treatment regimen for at least six months into a 12-month longitudinal study.
Introduction: Almost half of patients discharged from hospital are re-admitted or return to the emergency department (ED) within 90 days. Patient nonadherence to medication changes during hospitalization and the use of potentially inappropriate medications (PIMs) both contribute to the risk of adverse events post-discharge. Smart About Meds (SAM) is a patient-centered mobile application designed to target medication nonadherence and PIMs use. This protocol describes a randomized controlled trial (RCT) to evaluate the effectiveness of SAM. Methods & Analysis: A pragmatic, stratified RCT will be conducted among 3,200 patients discharged from internal medicine, cardiac care, and hospitalist units of the Royal Victoria Hospital, Montreal General Hospital, and Lachine Hospital. At discharge, patients will be randomized 1:1 to usual care or the SAM intervention. SAM integrates novel user-centered features (e.g. continuously updated medication list with pill images, side-effect checker, interaction checker) with pharmacist monitoring to tackle post-discharge nonadherence to new medication regimens. SAM also notifies patients of PIMS in their regimen, with advice to discuss with their physician. Following discharge, patients will be followed for 90 days, during which the occurrence of the composite outcome of ED visits, hospital readmissions, or death will be measured. Secondary outcomes will include nonadherence to medication changes, defined as failure to fill a new prescription, filling a modified prescription at the incorrect dose, or filling discontinued medications, as well as patient empowerment and health-related quality of life. An intention-to-treat analysis will evaluate the effectiveness of SAM. Multivariable logistic regression will estimate differences between treatment groups in the proportion of patients nonadherent to at least one medication change. With a sample size of 3,200, there will be 80% power to detect a 5% absolute reduction in this outcome. Two-way interaction terms will test hypothesized modifiers of SAM's effectiveness, including hospital, unit, age, sex, gender and comorbidity burden. Binary and continuous secondary outcomes will be assessed using multivariable logistic and linear regression, respectively.
People experiencing homelessness (PEH) are at exceptionally high risk of frequent emergency department (ED) and hospital use, poor functional outcomes, and increased morbidity and mortality from poorly managed chronic health conditions and complex social needs. Evidence-based interventions of particular promise for reducing ED and hospital utilization and improving health outcomes and meeting social needs involve:1) providing care in the community to overcome barriers including transportation and fear of stigmatization; 2) coordination of care transitions following ED or hospital discharge to improve access to needed community supports and reduce the risk of readmission; and 3) using mHealth technology to link PEH with appropriate community-based health and social services. This project builds on evidence from two feasibility studies in order to integrate and test a mHealth intervention, comprised of GPS technology and text messaging components, into a community setting to connect PEH with a community-based case manager and healthcare and social services. Our hypothesis is that integrating the mHealth intervention into an established, trusted navigation center for PEH will mitigate barriers to care and gaps in the care continuum resulting in decreased ED and hospital use and improved health outcomes and attainment of social needs. The study aim is to conduct a stratified RCT to compare a mHealth intervention with usual care community-based case management to examine the impact on healthcare utilization (primary outcome), medication adherence, social support, psychological distress and social needs attainment (secondary outcomes) in PEH.
Attention-deficit/hyperactivity disorder (ADHD) is a common psychiatric disorder, with a prevalence among adults of 2.5%. The disorder is diagnosed based on impairing levels of inattentive, hyperactive and impulsive behaviours. Most adults with ADHD present with additional mental health problems. Adults with ADHD have an increased risk to develop so-called cardiometabolic illnesses, such as type-2 diabetes, obesity and cardiovascular disease (e.g., heart failure). However, detailed knowledge about the screening, diagnosis and management of adults with ADHD and co-occurring cardiometabolic illnesses is lacking. The purpose of ART-CARMA is to (1) obtain real-world data from adults with ADHD daily life on the extent to which ADHD medication treatment and physical activity, individually and jointly, may influence cardiometabolic risks in adults with ADHD, and (2) obtain real-world data of patterns of taking ADHD medication and reasons for not taking medication, over a remote monitoring period of 12 months. ART-CARMA benefits from the ADHD Remote Technology ('ART') assessment and monitoring system for adults with ADHD (developed by Kuntsi, Dobson, et al.), and the RADAR-base mobile-health platform to which it is linked (developed by Dobson et alÍž http://www.radar-base.org). ART consists of both active (e.g., questionnaires) and passive (smartphone and a wearable device) monitoring. ART-CARMA will use remote measurement technology (RMT) in adults with ADHD to carry out unobtrusive, real-time data collection over a continuous period of 12 months. By recruiting 300 adults from adult ADHD clinic waiting lists (and a partner/family member/close friend for each of them) and monitoring them remotely, we will obtain objectively measured data relevant to cardiometabolic risk profiles from their daily lives. By targeting the period before starting any ADHD medication through to starting treatment and the subsequent period, up to 12 months in total, we obtain real-time data on multiple parameters, including side effects, that can inform the personalisation of treatment.
The purpose of this project is to identify the minimum effective dose (MED) of a multi-component behavioral change intervention required to increase levels of medication adherence among participants on primary prevention statin therapy who are at elevated risk for cardiovascular disease (CVD). The intervention will be comprised of 5 BCTs which have previously shown to be effective on increasing health behaviors: Goal Setting, Action Planning, Self-Monitoring, Feedback, and Prompts/Cues. Participants will complete a 2-week run-in period where medication adherence levels will be measured using a smart pill bottle and physical activity (PA) will be measured using Fitbit wearable devices. Then 42 participants will be randomized into 14 cohorts of 3 participants each for the intervention period. During the intervention period, participants will receive a multi-BCT intervention, the length of which varies between 1 and 10 weeks depending on the assigned dose. Assignment to doses will utilize a modified version of the Time-to-Event Continual Reassessment Method (TiTE-CRM) methodology to adjust the dose for each cohort based on the results from the previous cohort. After the intervention, there will be a 2-week follow-up period. The MED will be defined as the smallest BCT dose (defined by weeks of intervention) associated with 80% of participants having a 20% medication adherence increase between the run-in and the follow-up periods.
Liver transplantation is increasingly performed for older adults with multiple comorbidities. Medication adherence is key to maintaining proper function of the transplanted liver and optimize health; however, adhering to post-transplant treatment is complex. This trial will study how available technology combined with transplant center resources and caregiver support can optimize medication adherence, quality of life, and health outcomes among new liver transplant recipients at 3 centers.
Non-adherence is defined as: "the extent to which a person's behaviour - taking medication, following a diet, and/or executing lifestyle changes, corresponds with agreed recommendations from a health care provider". Non-adherence in chronic cardiometabolic diseases including diabetes is very common and is often the primary reason for treatment failure. This leads to significant excess costs to the health economy through avoidable investigations, treatment escalations, hospital admissions, and disease complications. Methods to diagnose non-adherence have until recently been poor. We have recently developed an objective and robust chemical adherence test to detect the presence of 160 cardiovascular medications in urine using high performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Chemical adherence testing has not been utilised in people with diabetes, further its relationship with other measures of adherence is unknown. The main aim of this observational study is to compare chemical non-adherence with other commonly used measures of non-adherence in people with diabetes. Chemical testing for non-adherence will be performed using urine provided by 600 patients with poorly controlled diabetes attending primary care recruited over a 15-month period. Participants will also be required to complete a self- reported questionnaire and pharmacy records will be reviewed to ascertain prescription refill rates. The prevalence and metabolic control of non-adherence as diagnosed chemically will be compared with those obtained by pharmacy refill rates and patient self-reported questionnaires. Further, the determinants of non-adherence as ascertained by urine LC-MS/MS analysis will be studied. It is hoped that this innovative study will lead to further larger intervention studies that will change the management of non-adherence in diabetes.
Randomized controlled trial testing the efficacy of the Supporting Tailored Adaptive change and Reinforcement for Medication Adherence Program (STAR-MAP), a health coaching approach that aims to improve antihypertensive medication adherence, blood pressure control, and quality of life. Participants (n=402) >=50 years old with a diagnosis of hypertension, uncontrolled blood pressure, and low antihypertensive medication adherence will be recruited through a statewide health insurer, Blue Cross Blue Shield of Louisiana, and randomized to receive either interactive health coaching sessions with medication reminder tools (intervention) or medication reminder tools only (control) over one year. Data will be collected from participants at baseline, 6 months, 12 months, and 24 months using questionnaires, physical measurement (height, weight, blood pressure), a computer-based single-category implicit association test, and laboratory analysis of antihypertensive medication urinary metabolites.
The study will be carried out during pharmacist-conducted medication reconciliation. The pharmacist will ask how the patient has been taking the prescribed medicines and whether any over-the-counter medicines and food supplements have been used for self-medication. The data will be analyzed for descriptive statistics to identify 1) the number of discrepancies between the physician's prescription orders and the patient's self-reported use of the medicines, 2) what kind of discrepancies there are, and 3) which of them negatively influence patients' medicine taking.
HIV medications can be very effective at helping patients have longer, healthier lives. However, many patients do not take their HIV medications as prescribed. This study aims to test a promising HIV medication adherence health coaching intervention delivered primarily via a smartphone application. N = 400 persons living with HIV will be enrolled across two sites (Providence, RI & Atlanta, GA). Participants will be randomly assigned, with a 2:1 ratio, to receive a 1) health coaching session with access to a smartphone application that provides medication reminders and remote access to the health coach or a 2) health coaching session only. Participants will complete interviews at baseline, 1, 3, 6, and 12 months after baseline. Some participants will also complete interviews at 18 and 24 months after baseline. Data analysis will examine the extent to which the intervention improves ART medication adherence, as well as other factors, compared to the control condition, which approximates standard of care.