Data management system for diabetes clinical trials: a pre-post evaluation study

Abstract

Background Data management system for diabetes clinical trials is used to support clinical data management processes. The purpose of this study was to evaluate the quality and usability of this system from the users’ perspectives. Methods This study was conducted in 2020, and the pre-post evaluation method was used to examine the quality and usability of the designed system. Initially, a questionnaire was designed and distributed among the researchers who were involved in the diabetes clinical trials (n = 30) to investigate their expectations. Then, the researchers were asked to use the system and explain their perspectives about it by completing two questionnaires. Results There was no statistically significant differences between the users’ perspectives about the information quality, service quality, achievements, and communication before and after using the system. However, in terms of the system quality (P = 0.042) and users’ autonomy (P = 0.026), the users’ expectations were greater than the system performance. The system usability was at a good level based on the users’ opinions. Conclusion It seems that the designed system largely met the users’ expectations in most areas. However, the system quality and users’ autonomy need further attentions. In addition, the system should be used in multicenter trials and re-evaluated by a larger group of users.

Maintenance Data Management: The Potential Effect of Blockchain Technology

“…Good data management must preserve the goodness of information and, in doing so, ensure that data is protected from unauthorised access and any loss or theft of sensitive data [9]. This involves implementing appropriate data security policies and procedures, such as data encryption, password control, physical security of storage devices, and employee training on data security.…”