Reconceptualizing internship training within the evolving clinical science training model
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2014-01-01
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Abstract
As changes in health-care delivery impel us to refine clinical science training, the opportunity arises to reconceptualize internship training to align more closely with clinical science values and outcomes. We present observations on the evolution of internship training with a focus on the following issues. First, we highlight the significance of a publichealth perspective for clinical science as a basis for refining training goals and practices. Second, we briefly review how internship training evolved (where it has come from) to set the context for continuing evolution (where it might go). Third, we discuss the need for an expanded definition of clinical competence for clinical science training to better align with innovations in health care and to prepare graduates for new career opportunities. Finally, we present examples of new models for internship training that might accommodate the continuing redefinition of internship training in clinical science. © The Author(s) 2013.
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Atkins, MS, TJ Strauman, JM Cyranowski and GG Kolden (2014). Reconceptualizing internship training within the evolving clinical science training model. Clinical Psychological Science, 2(1). pp. 46–57. 10.1177/2167702613501308 Retrieved from https://hdl.handle.net/10161/13842.
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Timothy J. Strauman
Professor Strauman’s work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.
Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.
More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.