View clinical trials related to Attitude to Computers.
Filter by:The goal of this project is to develop and evaluate a novel, electronic informed consent application for research involving electronic health record (EHR) data. In response to NIH RFA-OD-15-002, this study addresses research using clinical records and data, including the issues of the appropriate content and duration of informed consent and patient preferences about research use of clinical information. This study will design an electronic consent application intended to improve patients' satisfaction with and understanding of consent for research using their EHR data. The electronic application will provide interactive functionality that creates a virtual, patient-centered discussion with patients about research that uses EHR data. Also, to correct potential misconceptions and increase informedness, the application will present trust-enhancing messages that highlight facts about research regulations, researcher training, and data protections. This study (Specific Aim 2 of the linked study protocol) will compare the effectiveness of the interactive, trust-enhanced consent application to an interactive consent and standard consent (no interactivity, no trust- enhancement) using a randomized trial of the three consents with 750 adults in a network of family medicine practices. Primary outcomes will be satisfaction with the consent decision and understanding of the consent content. This application will allow patients to learn more about clinical research and make informed choices about whether or not they want their health records and data to be used for research. This first phase of this project (IRB#:201500678) was innovative because it created a virtual, patient-centered discussion about research using EHR data. Moreover, this project produced a consent application that clinicians and researchers will use in this phase (Phase two) of the trial as an ethically sound and practical tool for consenting patients, in a clinical setting, for research involving EHRs. Overall, this study will improve understanding of how to best give patients information about research that uses their health records and data. With this understanding, this study will develop a new computer application that patients can use in their doctors' offices. This application will allow patients to learn more about clinical research and make informed choices about whether or not they want their health records and data to be used for research.
The purpose of this study is to compare three different techniques of EEG recording for extraction of P300 Evoked Related Potentials (ERPs).