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Smart Start - Designing Powerful Clinical Trials Using Pilot Study Data.
Ferstad, Johannes O; Prahalad, Priya; Maahs, David M; Zaharieva, Dessi P; Fox, Emily; Desai, Manisha; Johari, Ramesh; Scheinker, David.
Afiliación
  • Ferstad JO; Department of Management Science and Engineering, Stanford University School of Engineering, Stanford, CA.
  • Prahalad P; Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA.
  • Maahs DM; Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA.
  • Zaharieva DP; Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA.
  • Fox E; Department of Statistics, Stanford University, Stanford, CA.
  • Desai M; Department of Computer Science, Stanford University, Stanford, CA.
  • Johari R; Chan Zuckerberg Biohub, San Francisco.
  • Scheinker D; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
NEJM Evid ; 3(2): EVIDoa2300164, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38320487
ABSTRACT

BACKGROUND:

Digital health interventions may be optimized before evaluation in a randomized clinical trial. Although many digital health interventions are deployed in pilot studies, the data collected are rarely used to refine the intervention and the subsequent clinical trials.

METHODS:

We leverage natural variation in patients eligible for a digital health intervention in a remote patient-monitoring pilot study to design and compare interventions for a subsequent randomized clinical trial.

RESULTS:

Our approach leverages patient heterogeneity to identify an intervention with twice the estimated effect size of an unoptimized intervention.

CONCLUSIONS:

Optimizing an intervention and clinical trial based on pilot data may improve efficacy and increase the probability of success. (Funded by the National Institutes of Health and others; ClinicalTrials.gov number, NCT04336969.)
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Clinical_trials Idioma: En Revista: NEJM Evid Año: 2024 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Clinical_trials Idioma: En Revista: NEJM Evid Año: 2024 Tipo del documento: Article País de afiliación: Canadá