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Non-cancer clinical trials start-up metrics at an academic medical center: Implications for advancing research.
Cernik, Colin; Shergina, Elena; Thompson, Jeffrey; Blackwell, Karen; Stephens, Kyle; Kimminau, Kim S; Wick, Jo; Mayo, Matthew S; Gajewski, Byron; He, Jianghua; Mudaranthakam, Dinesh Pal.
Afiliação
  • Cernik C; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Shergina E; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Thompson J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Blackwell K; Human Research Protection Program, University of Kansas Medical Center, Kansas City, KS, USA.
  • Stephens K; Human Research Protection Program, University of Kansas Medical Center, Kansas City, KS, USA.
  • Kimminau KS; Department of Family and Community Medicine, University of Missouri , Columbia, MO, USA.
  • Wick J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Mayo MS; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Gajewski B; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • He J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Mudaranthakam DP; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Contemp Clin Trials Commun ; 22: 100774, 2021 Jun.
Article em En | MEDLINE | ID: mdl-34027224
ABSTRACT
The primary goal for any clinical trial after it receives a funding notification is to receive regulatory approval and initiate the trial for recruitment. Every trial must go through documentation and regulatory process before it can start recruiting participants and collecting data; this initial process of review and approval is known as the study start-up process (SSU). We evaluated the average time taken for studies to receive approvals. Using data from clinical trials conducted at the University of Kansas Medical Center, various times to reach the start of the study were calculated based on the dates of individual study. The results of this analysis showed that chart review studies and investigator-initiated trials had a shorter time to activation than other types of studies. Additionally, single-center studies had a shorter activation time than multi-center studies. The analysis also demonstrated that the overall processing time consistently had been reduced over time.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2021 Tipo de documento: Article