View clinical trials related to Decision Support System.
Filter by: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.
This study aims to evaluate the effect of the decision support system developed for symptom self-management on symptom management, quality of life, and unplanned hospital admissions in Non-Hodgkin lymphoma (NHL) patients. Since NHL patients often experience disease and treatment-related side effects after discharge from the hospital, it would be beneficial to develop web-based decision support systems that can support symptom management at home. A mobile-compatible symptom self-management decision support system will be developed and tested with five patients, based on the needs of NHL patients, evidence-based guidelines, and expert opinions. A randomized controlled trial design with a single-blind and active control group will be applied. NHL patients will be pretested and randomized (intervention: 26, control: 26). The intervention group will use the decision support system developed for symptom self-management for three months. The researchers will share their phone numbers with the patients and be contacted via the 24/7 contact button or the phone. The effectiveness of the decision support system developed for symptom self-management is planned to be evaluated at the beginning and after 12 weeks.