JMIR is the leading peer-reviewed eHealth/mHealth journal (Impact Factor: 4.7),
ranked #1 in Medical Informatics, and #2 in Health Sciences/Health Services Research
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Recent Articles
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Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians by Wei-Hsin Chen, Sheau-Ling Hsieh, Kai-Ping Hsu, Han-Ping Chen, Xing-Yu Su, Yi-Ju Tseng, Yin-Hsiu Chien, Wuh-Liang Hwu, Feipei Lai (Published on 23 May 2013) Background: A hospital information system (HIS) that integrates screening data and interpretation of the data is routinely requested by hospitals and parents. However, the accuracy of disease classification may be low because of the disease characteristics and the analytes used for classification. Objective: The objective of this study is to describe a system that enhanced the neonatal screening system of the Newborn Screening Center at the National Taiwan University Hospital. The system was designed and deployed according to a service-oriented architecture (SOA) framework under the Web services .NET environment. The system consists of sample collection, testing, diagnosis, evaluation, treatment, and follow-up services among collaborating hospitals. To improve the accuracy of newborn... |
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Predictors of Participant Retention in a Guided Online Self-Help Program for University Students: Prospective Cohort Study by Magdalena Wojtowicz, Victor Day, Patrick J McGrath (Published on 22 May 2013) Background: Attrition is a persistent issue in online self-help programs, but limited research is available on reasons for attrition or successful methods for improving participant retention. One potential approach to understanding attrition and retention in such programs is to examine person-related variables (eg, beliefs and attitudes) that influence behavior. Theoretical models, such as the Theory of Planned Behavior, that describe conditions influencing human behavior may provide a useful framework for predicting participant retention in online-based program. Objective: We examined predictors of participant retention in a guided online anxiety, depression, and stress self-help program for university students using the theory of planned behavior. We also explored whether age, symptom... |
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