Blog
About
Search
Advanced search

12
views
2
references
 Top references
0
cited by
 Most cited
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
    3
    similar
     All similar
    • Record: found
    • Abstract: found
    • Article: found
    Is Open Access

    Monitoring People with Depression in the Community: Regulatory Aspects

    Authors: , , , , , , ,

    Publication date (Print):

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

    Conference theme: Human Computer Interaction

    Conference date: 12 - 14 September 2012

    Keywords: Depression, Monitoring, Ethics, Medical Device, Risk Assessment

    Read this article at

    ScienceOpen
    Bookmark
        There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

        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.

        Related collections

        Most cited references 2

        • Record: found
        • Abstract: not found
        • Article: not found

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

         Wendy W. Chapman,  Prakash M Nadkarni,  Lynette Hirschman … (2015)
        Article 0 comments Cited 32 times – based on 0 reviews     Review now
          Bookmark
          • Record: found
          • Abstract: found
          • Article: not found

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

           Alexis May,  E Klonsky,  Daniel Klein (2012)
          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.
          Article 0 comments Cited 20 times – based on 0 reviews     Review now
            Bookmark
            All references

            Author and article information

            Affiliations
            University of Edinburgh

            United Kingdom
            OBSMedical

            United Kingdom
            Fundacio i2CAT

            Spain
            Contributors
            Maria Wolters
            Lucy McCloughan
            Colin Matheson
            Martin Gibson
            Chris Weatherall
            Tim Maloney
            Juan Carlos Castro Robles
            Soraya Estevez
            Conference
            Publication date: September 2012
            Publication date (Print): September 2012
            Pages: 1-4
            ID: 10.14236/ewic/HCI2012.82
            Copyright statement: © Maria Wolters et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

            License:

            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/

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

            Link to data:

            ScienceOpen disciplines: Applied computer science, Computer science, Security & Cryptology, Graphics & Multimedia design, General computer science, Human-computer-interaction

            Keywords: Risk Assessment, Depression, Medical Device, Ethics, Monitoring

            Comments

            Comment on this article