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Search: WFRF:(Widiger T)

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1.
  • Andersson, Gerhard, 1966-, et al. (author)
  • Internet-Delivered Psychological Treatments
  • 2016
  • In: Annual review of clinical psychology. - : Annual Reviews. - 1548-5951 .- 1548-5943. ; 12, s. 157-179
  • Journal article (peer-reviewed)abstract
    • During the past 15 years, much progress has been made in developing and testing Internet-delivered psychological treatments. In particular, therapist-guided Internet treatments have been found to be effective for a wide range of psychiatric and somatic conditions in well over 100 controlled trials. These treatments require (a) a secure web platform, (b) robust assessment procedures, (c) treatment contents that can be text based or offered in other formats, and (d) a therapist role that differs from that in face-to-face therapy. Studies suggest that guided Internet treatments can be as effective as face-to-face treatments, lead to sustained improvements, work in clinically representative conditions, and probably are cost-effective. Despite these research findings, Internet treatment is not yet disseminated in most places, and clinical psychologists should consider using modern information technology and evidence-based treatment programs as a complement to their other services, even though there will always be clients for whom face-to-face treatment is the best option.
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2.
  • D'Onofrio, BM, et al. (author)
  • Accounting for Confounding in Observational Studies
  • 2020
  • In: Annual review of clinical psychology. - : Annual Reviews. - 1548-5951 .- 1548-5943. ; 16, s. 25-48
  • Journal article (peer-reviewed)abstract
    • The goal of this review is to enable clinical psychology researchers to more rigorously test competing hypotheses when studying risk factors in observational studies. We argue that there is a critical need for researchers to leverage recent advances in epidemiology/biostatistics related to causal inference and to use innovative approaches to address a key limitation of observational research: the need to account for confounding. We first review theoretical issues related to the study of causation, how causal diagrams can facilitate the identification and testing of competing hypotheses, and the current limitations of observational research in the field. We then describe two broad approaches that help account for confounding: analytic approaches that account for measured traits and designs that account for unmeasured factors. We provide descriptions of several such approaches and highlight their strengths and limitations, particularly as they relate to the etiology and treatment of behavioral health problems.
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3.
  • Holmes, Emily A., et al. (author)
  • Mental Imagery in Depression : Phenomenology, Potential Mechanisms, and Treatment Implications
  • 2016
  • In: ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 12. - : ANNUAL REVIEWS. - 1548-5951 .- 1548-5943. - 9780824339128 ; , s. 249-280
  • Book chapter (peer-reviewed)abstract
    • Mental imagery is an experience like perception in the absence of a percept. It is a ubiquitous feature of human cognition, yet it has been relatively neglected in the etiology, maintenance, and treatment of depression. Imagery abnormalities in depression include an excess of intrusive negative mental imagery; impoverished positive imagery; bias for observer perspective imagery; and overgeneral memory, in which specific imagery is lacking. We consider the contribution of imagery dysfunctions to depressive psychopathology and implications for cognitive behavioral interventions. Treatment advances capitalizing on the representational format of imagery (as opposed to its content) are reviewed, including imagery rescripting, positive imagery generation, and memory specificity training. Consideration of mental imagery can contribute to clinical assessment and imagery-focused psychological therapeutic techniques and promote investigation of underlying mechanisms for treatment innovation. Research into mental imagery in depression is at an early stage. Work that bridges clinical psychology and neuroscience in the investigation of imagery-related mechanisms is recommended.
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