Patient Activation

The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care. The main questions it aims to answer are: Do AI-generated summaries increase participant activation (knowledge, skills, and confidence in managing their health)? How accurate are the AI-generated summaries, as assessed by physicians? Do AI-generated summaries affect depressive symptoms during hospitalization? Researchers will compare participants who receive periodic AI-generated summaries of their medical care with participants who receive standard care to determine whether the summaries improve patient activation during hospitalization. Participants will: Be randomly assigned to receive AI-generated medical summaries or standard care. Complete the Patient Activation Measure (PAM-13) at baseline before the intervention and again after the intervention. Complete the Edinburgh Postnatal Depression Scale (EPDS) at baseline and again after the intervention. Receive up to 3 summaries during their hospitalization (intervention group only).

The goal of this clinical trial is to find out if educational videos-especially interactive ones-can help people on dialysis better manage their treatment. Researchers want to answer the following main questions: Can interactive or conventional video-based education help patients better understand and follow their treatment plan? Does this type of education improve patients' ability to control their weight changes between dialysis sessions? Does this type of education improve patients' activation? Is interactive video education more effective than regular (non-interactive) video education? What Will Happen in the Study: Adults on hemodialysis will take part in the study. They will be randomly assigned to one of three groups: Group A: Will receive 10 interactive educational video sessions (30 minutes each). Group B: Will receive the same videos but in a non-interactive format. Group C (Control Group): Will receive routine education normally given at the dialysis center. Videos will be watched on a web platform. Interactive videos include pop-up questions and scenario-based feedback. All participants will be followed up immediately, 1 month, and 3 months after the program ends. What Participants Will Do: Watch educational videos over several days (totaling 5 hours). Answer questions and engage in follow-up group discussions. Complete surveys about their knowledge, treatment adherence, and health behaviors. Get weighed before and after dialysis sessions to monitor fluid retention. This study aims to improve how dialysis patients manage their condition and to help healthcare providers design better educational tools.

The COVID-19 pandemic has significantly impacted healthcare service delivery, highlighting the need for high quality virtual patient care. Our team has developed a multi-dimensional remote eHealth solution for newly diagnosed breast cancer patients and their practitioners to use during the diagnostic and follow-up period. The ABODE study involved development of a Breast Cancer Treatment Application (app) which will facilitate virtual consultations, deliver patient education material, and collect patient reported outcome measures (PROMs). Using a randomized controlled trial design, the team will evaluate a variety of outcomes for breast cancer patients who will use the app throughout their diagnosis and treatment period. Primary Objective: To compare changes in patient activation (assessed by PAM-13) over 1 year among newly diagnosed breast cancer patients between those using the app and those receiving standard care. Secondary Objectives: 1. Compare additional PROMs between the standard care and intervention groups 2. Describe health service outcomes among app users 3. Explore end-user experience of using the app 4. Measure activity levels using wearable devices

This study evaluates the effects of an electronic patient decision support system developed for the use of patients with type 2 diabetes (DiaPaDeSS) on self-management, patient activation, and metabolic parameters. To manage type 2 diabetes after discharge, patients must continue to perform interventions at home, such as blood glucose monitoring, blood pressure measurement, weight measurement, medication use, and foot care. To achieve this, patient's self-management and activation levels should be increased. This can also lead to positive improvements in the metabolic parameters. It would be beneficial to develop DiaPaDeSS that can increase the self-management and activation levels of patients with type 2 diabetes. The investigators will develop the DiaPaDeSS intervention protocol. Our content includes patient education information about type 2 diabetes, self-management practice tasks (daily, weekly, quarterly), a type 2 diabetes patient education program according to DiaPaDeSS algorithms, and measurement questionnaires. The content of the DiaPaDeSS will be evaluated by 10 experts in the fields of medicine, nursing, and informatics. A feasibility test with seven patients will be conducted to evaluate the usability of DiaPaDeSS. A single-blind, randomized controlled trial design will be used. Patients with type 2 diabetes will be pretested and randomized (intervention 36, control 36) to the DiaPaDeSS intervention and control groups. Both the DiaPaDeSS intervention and control groups will use the DiaPaDeSS for three months. While participants in the DiaPaDeSS intervention group can reach all contents of the DiaPaDeSS, others can reach only these fields: self-management practice tasks (daily, weekly, quarterly), and measurements questionnaires. The effectiveness of the DiaPaDeSS will be evaluated at baseline and at month 3.

More than 40% of patients with gastroesophageal reflux disease (GERD) experience uncontrolled, chronic symptoms. This proposal aims to improve symptom control for patients with GERD, by developing a mobile health (mHealth) Question Prompt List (QPL) intervention that helps patient ask questions with his/her physician about GERD. The first aim is to gather feedback about daily challenges of living with GERD. The second aim is to gather feedback on the prototype app. The third (primary) aim of this project is to develop the mHealth application and measure differences in patient activation when used compared to standard of care.