Development and initial implementation of the Dynamic Assessment Treatment Algorithm (DATA)

Fernandez, Katya C.; Fisher, Aaron J.; Chi, Cyrus

doi:10.1371/journal.pone.0178806

Cited by 69Mental Health Research TopicsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPersonality Disorders and Psychopathology

Development and initial implementation of the Dynamic Assessment Treatment Algorithm (DATA)

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Fernandez, Katya C., Fisher, Aaron J., Chi, Cyrus·2017·PLOS ONE

DOI 10.1371/journal.pone.0178806PMC PMC5487014

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Abstract

Given the recent increase in transdiagnostic research, it is important to discern how dimensional models of psychopathology could be used to guide personalized, dynamic assessment and treatment of symptoms. Using the person-specific approach described by Fisher (2015), we devised an initial 4-step algorithm for devising a treatment plan based on modular cognitive behavioral therapy using results obtained from within-person factor analyses and dynamic factor models. Then, we describe the improvement and digitization of the algorithm, termed Dynamic Assessment Treatment Algorithm (DATA). The development, structure, and clinical implications of DATA are discussed.

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Over time, a recursive idionomic process-based functional analytic strategy would build a body of empirical nomothetic categories with known treatment utility.
“Over time, this recursive idionomic process-based functional analytic strategy would build a body of empirical nomothetic categories with known treatment utility [120][121][122] .”
From “Third-wave” cognitive and behavioral therapies and the emergence of a process-based approach to intervention in psychiatry (2021) · cites this paper as [121]
The Introduction’s ‘Utility of a person-specific approach’ section says that individual symptom dynamics can inform personalized interventions. But the ‘From diagnoses to dimensions’ section distinguishes this approach from nomothetic analysis, and the paper does not say that repeated use would build empirical nomothetic categories with known treatment utility. (LLM, conf=0.86)
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Authors: Fernandez, K. C., Fisher, A. J., & Chi, C.
Affiliations: University of California, Berkeley (US)
Corresponding author: Fernandez, Katya C.
ORCID: Fisher, Aaron J.
Venue: PLOS ONE
Publisher: Public Library of Science (PLoS)
Published: 2017-06-27
Volume: 12
Issue: 6
Pages: e0178806
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0178806
PMC: PMC5487014
OpenAlex: W2726085408
Cited by: 68
References: 23
Citations by year: 2026: 1 · 2025: 2 · 2024: 9 · 2023: 5 · 2022: 4 · 2021: 15 · 2020: 11 · 2019: 8 · 2018: 11 · 2017: 1 · 2016: 1
FWCI: 10.97
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: PLoS ONE (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
Keywords: transdiagnostic model, dimensional models of psychopathology, dynamic assessment, treatment planning, dynamic factor models, personalized treatment
MeSH terms: Adolescent, Adult, Algorithms, Mental Disorders, Female, Humans, Male, Models, Psychological, Cognitive Behavioral Therapy, Young Adult, Symptom Assessment

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