Literature DB >> 22036103

The impact of causal attributions on diagnosis and successful referral of depressed patients in primary care.

Th Michael van den Boogaard1, P F M Verhaak, Richard van Dyck, Philip Spinhoven.   

Abstract

Despite growing concerns of over-treatment, the under-diagnosis and undertreatment of major depressive disorders is still prevalent. Causal attributions are thought to be involved in help seeking behavior, time to diagnosis and the chance for successful referral. Yet, little is known about the extent to which these processes are influenced by causal attributions. 120 patients, involved in the nationwide second Dutch National Survey of General Practice (Schellevis, Westert, & Bakker, 2005), with a current DSM-IV diagnosis of depression, severe depression or with a depression lasting over six months, completed a causal attributions inventory. Demographic and clinical data from the survey, and causal attribution scores were used as independent variables in association with getting a diagnosis of depression from the general practitioner, or being in treatment by a mental health care provider for more than 3 sessions. Causal attributions related to intrapsychic fears were significantly associated with getting a diagnosis of depression and successful referral. Causal attributions related to childhood were also positively associated with successful referral. In association models derived from all the demographic and clinical data available in the survey, causal attributions substantially contributed to the explained variance, 55% and 39% respectively. The findings suggest causal attributions have a statistically significant impact on time to diagnosis and the chance of successful referral. Using the Causal Attribution Inventory with high-risk patients in primary care might enhance the chance of detection and successful referral of depressed patients. Schellevis, F. G., Westert, G. P., & De Bakker, D. H. (2005). The actual role of general practice in the dutch health-care system. Results of the second dutch national survey of general practice. Medizinische Klinik (Munich), 100(10), 656-661.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22036103     DOI: 10.1016/j.socscimed.2011.09.027

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  2 in total

1.  Probing for depression and finding diabetes: a mixed-methods analysis of depression interviews with adults treated for type 2 diabetes.

Authors:  Molly L Tanenbaum; Marilyn D Ritholz; Deborah H Binko; Rachel N Baek; M S Erica Shreck; Jeffrey S Gonzalez
Journal:  J Affect Disord       Date:  2013-02-27       Impact factor: 4.839

2.  Causal beliefs about depression in different cultural groups-what do cognitive psychological theories of causal learning and reasoning predict?

Authors:  York Hagmayer; Neele Engelmann
Journal:  Front Psychol       Date:  2014-11-25
  2 in total

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