Where are the breaks in translation from theory to clinical practice (and back) in addressing depression? An empirical graph-theoretic approach

Greg J. Siegle, Angélique O.J. Cramer, Nees Jan Van Eck, Philip Spinhoven, Steven D. Hollon, Johan Ormel, Marlene Strege, Claudi L.H. Bockting

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Background Research in depression has progressed rapidly over the past four decades. Yet depression rates are not subsiding and treatment success is not improving. We examine the extent to which the gap between science and practice is associated with the level of integration in how depression is considered in research and stakeholder-relevant documents.Methods We used a network-science perspective to analyze similar uses of depression relevant terms in the Google News corpus (approximately 1 billion words) and the Web of Science database (120 000 documents).Results These analyses yielded consistent pictures of insular modules associated with: (1) patient/providers, (2) academics, and (3) industry. Within academia insular modules associated with psychology, general medical, and psychiatry/neuroscience/biology were also detected.Conclusions These analyses suggest that the domain of depression is fragmented, and that advancements of relevance to one stakeholder group (academics, industry, or patients) may not translate to the others. We consider potential causes and associated responses to this fragmentation that could help to unify and advance translation from research on depression to the clinic, largely involving harmonizing employed language, bridging conceptual domains, and increasing communication across stakeholder groups.

Original languageEnglish
Pages (from-to)2681-2691
Number of pages11
JournalPsychological Medicine
Volume49
Issue number16
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Depression
  • graph theory
  • translation

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