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ItemNo Preview AvailableDevelopment of a Mobile Clinical Prediction Tool to Estimate Future Depression Severity and Guide Treatment in Primary Care: User-Centered DesignWachtler, C ; Coe, A ; Davidson, S ; Fletcher, S ; Mendoza, A ; Sterling, L ; Gunn, J (JMIR PUBLICATIONS, INC, 2018-04-01)BACKGROUND: Around the world, depression is both under- and overtreated. The diamond clinical prediction tool was developed to assist with appropriate treatment allocation by estimating the 3-month prognosis among people with current depressive symptoms. Delivering clinical prediction tools in a way that will enhance their uptake in routine clinical practice remains challenging; however, mobile apps show promise in this respect. To increase the likelihood that an app-delivered clinical prediction tool can be successfully incorporated into clinical practice, it is important to involve end users in the app design process. OBJECTIVE: The aim of the study was to maximize patient engagement in an app designed to improve treatment allocation for depression. METHODS: An iterative, user-centered design process was employed. Qualitative data were collected via 2 focus groups with a community sample (n=17) and 7 semistructured interviews with people with depressive symptoms. The results of the focus groups and interviews were used by the computer engineering team to modify subsequent protoypes of the app. RESULTS: Iterative development resulted in 3 prototypes and a final app. The areas requiring the most substantial changes following end-user input were related to the iconography used and the way that feedback was provided. In particular, communicating risk of future depressive symptoms proved difficult; these messages were consistently misinterpreted and negatively viewed and were ultimately removed. All participants felt positively about seeing their results summarized after completion of the clinical prediction tool, but there was a need for a personalized treatment recommendation made in conjunction with a consultation with a health professional. CONCLUSIONS: User-centered design led to valuable improvements in the content and design of an app designed to improve allocation of and engagement in depression treatment. Iterative design allowed us to develop a tool that allows users to feel hope, engage in self-reflection, and motivate them to treatment. The tool is currently being evaluated in a randomized controlled trial.
ItemBYOD in Hospitals-Security Issues and Mitigation Strategies.Wani, TA ; Mendoza, A ; Gray, K (ACM Press, 2019)The demand for using personal devices in hospitals (BYOD) has increased rapidly over the years. However, BYOD also means that healthcare organisations are at great risk of leaking sensitive information assets like Personal Health Information (PHI) of patients, given that personal devices are outside the control of hospital IT management and may lack important security measures. Hence, the aim of this research is to develop a mitigation strategy which can cater to such security issues. A comprehensive literature review was conducted to identify BYOD security issues and mitigation solutions. This was followed by using two existing security frameworks, the BYOD security framework and People Policy Technology (PPT) model to shape a stepwise mitigation strategy. Technical, managerial and social issues were identified which include unsecure user behaviour by hospital employees, lack of security awareness, usability issues, legal requirements and lost devices. The mitigation strategy elucidates that while information and communication technologies allow better enforcement of security measures; policies and training provide the desired guidance to influence positive user behaviour among employees. The paper also discusses the need for a balance between usability and security in the success of BYOD in hospitals and hence provides systematic guidelines to curb BYOD security risks in hospitals.