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Monitoring People with Depression in the Community: Regulatory Aspects

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The 26th BCS Conference on Human Computer Interaction (HCI)

Human Computer Interaction

12 - 14 September 2012

Depression, Monitoring, Ethics, Medical Device, Risk Assessment

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      Abstract

      Help4Mood is a system for supporting the treatment of people with depression in the community. Relevant aspects of the patient’s condition are monitored; summaries and trends are shared with the clinician. In this paper, we describe how the decision to provide for integration into clinical practice has affected design and implementation of Help4Mood. We excluded useful functionality such as medication reminders and moved to a laptop as a secure platform.

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      Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions.

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        Predicting future suicide attempts among depressed suicide ideators: a 10-year longitudinal study.

        Suicidal ideation and attempts are a major public health problem. Research has identified many risk factors for suicidality; however, most fail to identify which suicide ideators are at greatest risk of progressing to a suicide attempt. Thus, the present study identified predictors of future suicide attempts in a sample of psychiatric patients reporting suicidal ideation. The sample comprised 49 individuals who met full DSM-IV criteria for major depressive disorder and/or dysthymic disorder and reported suicidal ideation at baseline. Participants were followed for 10 years. Demographic, psychological, personality, and psychosocial risk factors were assessed using validated questionnaires and structured interviews. Phi coefficients and point-biserial correlations were used to identify prospective predictors of attempts, and logistic regressions were used to identify which variables predicted future attempts over and above past suicide attempts. Six significant predictors of future suicide attempts were identified - cluster A personality disorder, cluster B personality disorder, lifetime substance abuse, baseline anxiety disorder, poor maternal relationship, and poor social adjustment. Finally, exploratory logistic regressions were used to examine the unique contribution of each significant predictor controlling for the others. Comorbid cluster B personality disorder emerged as the only robust, unique predictor of future suicide attempts among depressed suicide ideators. Future research should continue to identify variables that predict transition from suicidal thoughts to suicide attempts, as such work will enhance clinical assessment of suicide risk as well as theoretical models of suicide. Copyright © 2012 Elsevier Ltd. All rights reserved.
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          Author and article information

          Affiliations
          University of Edinburgh

          United Kingdom
          OBSMedical

          United Kingdom
          Fundacio i2CAT

          Spain
          Contributors
          Conference
          September 2012
          September 2012
          : 1-4
          10.14236/ewic/HCI2012.82
          © Maria Wolters et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          The 26th BCS Conference on Human Computer Interaction
          HCI
          26
          Birmingham, UK
          12 - 14 September 2012
          Electronic Workshops in Computing (eWiC)
          Human Computer Interaction
          Product
          Product Information: 1477-9358 BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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