Blog
About
Search
Advanced search

84
views
2
references
 Top references
0
cited by
 Most cited
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      0
      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 36 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 25 times – based on 0 reviews     Review now
              Bookmark
              All references

              Author and article information

              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
              Affiliations
              University of Edinburgh

              United Kingdom
              OBSMedical

              United Kingdom
              Fundacio i2CAT

              Spain
              Article
              DOI: 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

              Data availability:

              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