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1000 Titel
  • Using the ‘Leapfrog’ Design as a Simple Form of Adaptive Platform Trial to Develop, Test, and Implement Treatment Personalization Methods in Routine Practice
1000 Autor/in
  1. Blackwell, Simon |
1000 Verlag
  • Springer US
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-05
1000 Erschienen in
1000 Quellenangabe
  • 51(5):686-701
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10488-023-01340-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379800/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>The route for the development, evaluation and dissemination of personalized psychological therapies is complex and challenging. In particular, the large sample sizes needed to provide adequately powered trials of newly-developed personalization approaches means that the traditional treatment development route is extremely inefficient. This paper outlines the promise of adaptive platform trials (APT) embedded within routine practice as a method to streamline development and testing of personalized psychological therapies, and close the gap to implementation in real-world settings. It focuses in particular on a recently-developed simplified APT design, the ‘leapfrog’ trial, illustrating via simulation how such a trial may proceed and the advantages it can bring, for example in terms of reduced sample sizes. Finally it discusses models of how such trials could be implemented in routine practice, including potential challenges and caveats, alongside a longer-term perspective on the development of personalized psychological treatments.</jats:p>
1000 Sacherschließung
lokal Original Article
lokal Sequential analysis
lokal Humans [MeSH]
lokal Psychotherapy/methods [MeSH]
lokal Mental Disorders/therapy [MeSH]
lokal Adaptive platform trial
lokal Precision Medicine [MeSH]
lokal Treatment personalization
lokal Adaptive Clinical Trials as Topic [MeSH]
lokal Research Design [MeSH]
lokal Bayes factor
lokal Leapfrog trial
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-3313-7084
1000 Hinweis
  • DeepGreen-ID: b7541740eacc437daa2a4ea684a34781 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Georg-August-Universität Göttingen |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Georg-August-Universität Göttingen |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6494308.rdf
1000 Erstellt am 2025-02-04T02:15:40.713+0100
1000 Erstellt von 322
1000 beschreibt frl:6494308
1000 Zuletzt bearbeitet 2025-07-30T16:01:02.853+0200
1000 Objekt bearb. Wed Jul 30 16:01:02 CEST 2025
1000 Vgl. frl:6494308
1000 Oai Id
  1. oai:frl.publisso.de:frl:6494308 |
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