Background & Aims: The electronic health record software of Mashhad University of Medical Sciences is the Integrated Information system, called “SINA” which was launched in 2016 to enhance public health and manage mother and child information. This study aimed to identify the challenges of “SINA” focusing on the information management of pregnant women from the healthcare midwives’ perspective. Methods: This qualitative study was conducted on 14 healthcare midwives currently working in the health centers affiliated with Mashhad University of Medical Sciences who were selected through purposeful sampling. Data were collected through in-depthand semi-structured interviews. Data analysis was carried out through thematic content analysis. Results: The main theme challenges identified from the analyzed data were system management problems and software systems problems. The four subthemes were system flow and process management, structural problems, interface, and technical problems. Conclusion: Based on the healthcare midwives’ perspectives, Maternity care information and training of pregnant women were well documented in “SINA”. This study can advise the policymakers to succeed in the Practical applications of the “SINA” by enhancing its strong features and ability to handle its challenges.
Introduction: Mobile learning is a new way of modern teaching method and a subset of e-learning that refers to a change in thinking about the design and planning of learning goals and environments. The purpose of this study was to investigate the attitude of students of the Medical Sciences School toward the mobile phone in educational activities and its usage. Methods: 150 students of Mashhad School of Paramedical Sciences were investigated in this cross-sectional study in 2019-20, using a researcher-made questionnaire including three sections on student demographic information, mobile applications in education, and student attitude toward mobile phone use in educational activities. The questionnaire`s validity was obtained according to 7 experts' opinions in the field of education, and its reliability was calculated using Cronbach's alpha of 0.794. Data were analyzed by descriptive and analytical statistics using SPSS 16 software. Result: From the investigation of 150 students of Mashhad Paramedical Sciences opinions in six educational groups indicated that students of health information technology, laboratory science, physiotherapy, ophthalmology, radiology, speech therapy, medical records, mostly used mobile phones for their educational activities respectively. The most common use of students' mobile phones at university was the use of the Internet and social networks, taking photos and videos, and the most common use in teaching activities was reading files, viewing scores, recording audio and selecting units. From the students' perspective, using mobile phones in educational activities leads to getting higher scores, doing activities faster, make better communication between teacher and student, and speeded up the learning feedback. Conclusion: According to the results, we suggest encouraging teachers to use mobile phones in academic activities and running workshops to increase the awareness of mobile capabilities. Also educational planners, and mobile based learning programs should design educational software to promote the correct culture of mobile use in educational activities.
Introduction: Birth defects are a known cause of mortality in infancy and the subsequent period. In fact, birth defects are structural changes that can affect almost every part of a child's appearance or function, or both. These defects are the fifth-most cause of mortality before 65 years, and an important factor of disability in the community. The aim of this study was to determine the minimum data set of birth defects to enhance their management. Methods: This study is practical and descriptive, and was conducted in 2016. Birth defects minimum data set resources (print and electronic) in selected countries were studied. According to their similarities and differences and internal needs, a model for a birth defects minimum data set was designed. According to expert opinion, the model has been validated by Delphi technique in two phases. Results: This minimum data set has six general areas including neonate risk factors, mothers risk factors, economic and social risk factors of mother status, delivery risk factors and malformation history in family. This model has a total of 35 data elements. Conclusion: The Birth Defect Minimum Data Set plays an important role in improving health and enhancement of birth defect management and is also a cornerstone of access to integrated electronic health records. Therefore, it is recommended that this minimum data set is considered for a national system of mothers and neonates, to provide comprehensive collected information about birth defects and anomalies in Iran.
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