Objectives. To examine general practitioners' (GP) awareness of depression in their elderly patients (aged over 65) and to identify characteristics of those patients least likely to be recognized and treated.Design. A cross-sectional study comparing the clinical opinion of the GP with assessment of mental state using a validated interview schedule (the Short Comprehensive Assessment and Referral Evaluation).Setting and subjects. 510 elderly residents in the Gospel Oak area of Camden in North London registered with 28 GPs at 13 practices.Main outcome measures. Agreement between GP view and patient interview. Evidence of active management measured by examining GP records for appointments, referrals and prescription of psychotropic mediation.Results. GPs were aware of depression in 36 (51%) of 70 depressed patients. Those least likely to be recognized were men, the married, those with high levels of physical handicap, those suering from visual impairment and those who were least well educated. Of the 32 patients believed to be depressed, 12 (38%) were prescribed antidepressant medication and/or referred to mental health/social services.Conclusions. Levels of recognition of depression were lower than other recent reports. These ®ndings may re¯ect the continued debate about the most suitable management of the elderly depressed in primary care and stress the need for further evaluation of appropriate treatment strategies for this group.
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Fear, Uncertainty, and Doubt or FUD, is relatively understudied in relation to cryptocurrency. It is a feeling derived from negative cryptocurrency-related information and it prompts adverse sentiment. This thesis addresses knowledge gaps on FUD by exploring its relationship with trust, and cryptocurrency information-seeking practices. We conducted 23 semi-structured interviews with cryptocurrency adopters and non-adopters to investigate triggers of FUD, FUD-induced behaviours, and how people form trust assessments of cryptocurrency information. Using thematic analysis, we classified FUD triggers found in our data across the personal, societal, and systemic level. Furthermore, we identified how participants make either cursory, extensive, or negative trust assessments of cryptocurrency information using attachment and depth. To illustrate this process, we proposed a model of trust assessment pathways.We then provide four recommendations on combating FUD, and suggest areas of future work. I am extremely thankful to my wonderful supervisor Dr. Sonia Chiasson. This thesis would not have been possible if not for her encouragement, guidance, and flexibility in helping me navigate a master's program fully online. I don't think I could have asked for a better mentor to work with and learn from.I am also very thankful for my co-workers at D2L and Visa -two wonderful places I had the pleasure of working at during my master's. I'd like to give a quick shout-out to Lindsay, Dan, Ece, Nathan, John, and Halima. Thank you for your mentorship and support in becoming a better researcher.Moreover, a very special thanks goes to my family. I want to acknowledge the pivotal role that my Mom, Dad, Sahil, Riva, and Bibiji played in making this entire thesis happen. And lastly, to my friends, cousins, and peers in the HCI program: thank you all for checking in and keeping me sane at each and every step.To you all, I give my most sincerest and heartfelt gratitude.
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