BackgroundMedication dosage calculation errors are among the most common errors of nurses in intensive care unit (ICU). Information technologies, particularly mobile devices, can advance drug dosage calculation processes. The objective of this study was to develop a medication dosage calculation application for nurses in intensive care units. MethodsThis study was performed in the ICUs of teaching hospitals in Kerman University of Medical Sciences in 2018. First, a need assessment survey of nurses was conducted to determine the required features of the application. As well two specialists were interviewed to determine the medications used in the ICUs.Second, a medication dosage calculation application was developed using formative usability testing. ResultsOverall, 80% of the participants (n=120) answered the need assessment questionnaire. Of 29 features determined in the needs assessment, 19 were selected to develop the application. Moreover, 25 medications were selected by specialists and participants for the development of the application and its prototype. The usability test of the prototype found 15 problems. After xing these problems 2 problems were identi ed, which were xed in the nal version. ConclusionAccording to the participants, development of the medication dosage calculation application increases the accuracy of drug dosage and reduces the errors. The user-identi ed features were developed in-app.User-centered usability testing in this study improved development based on needs of users. The method used in this study can be used by developers of health applications to develop applications which are consistent with user needs.

Background Despite the prevalent use and advantages of information systems in hospitals, some have failed to meet their predefined objectives. Surgery information system (SIS) is a sub-system of a hospital information system. Its effective and efficient operation could enhance patient care in the busy environment of operating rooms with multiple tasks. The objective of this study was to evaluate the effectiveness and efficiency of SIS in three educational hospitals. Methods Data were collected using a questionnaire completed by 82 users of SIS. This questionnaire contains three parts: 1) participants’ demographic information, 2) questions regarding the efficiency of SIS, and 3) questions about its effectiveness. An independent sample t-test was used to compare the efficiency and effectiveness among systems. Chi-squared and Fisher tests were used to determine the relationship between the participants’ demographics and efficiency and effectiveness as well as the relationship between efficiency and effectiveness. Results About 23% of the participants rated the system’s efficiency as low, 29% as medium, and 48% as high. Besides, 24% of the participants considered the effectiveness of the system as low, 31% as medium, and 45% as high. There was a significant correlation between the efficiency and effectiveness of SIS (p ≤ 0.0001). Conclusion Based on the perspective of most participants (44%)the efficiency and effectiveness of both surgery information systems were acceptable. The results suggest that these systems should be designed in a way that facilitate user’s interaction and reduce the time takes to complete tasks. The results could be useful for developing and designing an efficient and effective system.

Objective/aim Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability of a cancer registry system using Cognitive Walkthrough (CW) and to assess users' agreement with its usability problems. Methods CW was used to evaluate the registry system. We developed a checklist to help evaluators speed up the evaluation process, a problems form to collect the usability issues identified by the evaluators, and a problems severity form to determine the severity of problems by the evaluators. The problems were classified into two categories according to the CW questions and the system tasks. The agreement of the users with the system problems was examined by an online questionnaire. Users' agreement with the problems was then analyzed using the Interclass Correlation Coefficient in the SPSS 22 (Statistical Package for Social Science). Results In this study, 114 problems were identified. In the categorization of problems based on the CW questions, 41% (n = 47) of the problems concerned the issue of “users do not know what to do at each stage of working with the system”, 24% (n = 27) were classified as “users cannot link what they intend to do with system controls”, and 22% (n = 25) were related to “user's lack of understanding of the system processes”. Based on user tasks, about 36% (n = 41) of the problems were related to “removing patient duplication” and 33% (n = 38) were related to “registration of patient identification information”. User agreement with the problems was high (CI 95% = 0.9 (0.96, 0.98)). Conclusion System problems often originate from user ignorance about what to do at each stage of using the system. Also, half of the system problems concern a mismatch between what users want to do and the system controls, or a lack of understanding about what the system does at different stages. Therefore, to avoid user confusion, designers should use clues and guides on the screen for users, design controls consistent with the user model of thinking, and provide appropriate feedback after each user action to help users understand what the system is doing. The high agreement of users with the problems showed that in the absence of users system designers can use CW to identify the problems that users face in the real environment.