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Developing a Model of Psychiatric Visit NonAdherence,Used
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Nonadherence to psychiatry undermine improvements to patient care quality, erode patient wellbeing, and prevent the effective use of technology driven improvements to health care quality. Psychiatric visit nonattendance is often perceived as an intractable problem. Previous research into the issue of visit nonadherence focus either on specific patient demographics or on redundant scheduling methods, neither of which addresses quality of care issues or the development of useful tools to decrease visit nonadherence. This formative study addressed the issue of visit nonadherence by leveraging readily available electronic billing and scheduling system data, as well as data from an EMR, to identify and analyze a set of determinants of visit non adherence. Three strategies, statistical analysis, machine learning/data mining and model comparison, were utilized in the analysis. Results from this multiphase study provide a parsimonious set of visit nonadherence determinants and a useful model based on those determinants capable of supporting the development of predictive tools suitable for use in ambulatory health care services delivery.
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