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COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic.

Publication ,  Journal Article
Larson, K; Sim, I; von Isenburg, M; Levenstein, M; Rockhold, F; Neumann, S; D'Arcy, C; Graham, E; Zuckerman, D; Li, R
Published in: Contemp Clin Trials
April 2022

BACKGROUND: This survey of COVID-19 interventional studies encompasses, and expands upon, a previous publication [1] examining individual participant level data (IPD) sharing intentions for COVID-related trials and publications prior to June 30, 2020. METHODS: Replicating our inclusion criteria from the original survey, we evaluated a larger dataset of 2759 trials and 281 publications in this follow-up survey for willingness to share IPD and studied if sharing sentiment has evolved since the beginning of the pandemic. RESULTS: We found that 18 months into the pandemic, data sharing intentions remained static at 15% for trials registered through ClinicalTrials.gov (ClinicalTrials.gov is a digital registry of information about publicly and privately funded clinical studies in which human volunteers participate in interventional or observational scientific research) prior to September 19, 2021 compared to our initial survey. However, a comparison of declared intentions to share IPD at the time of publication revealed a noticeable shift: affirmative intentions grew from 21.4% (6/28) in our original publications survey to 57% (160/281) in this survey. Within the subset of studies published within journals affiliated with the International Committee of Medical Journal Editors (ICMJE), positive sharing intentions are even higher (65%). CONCLUSIONS: Although intent to share data at the time of registration has not changed from our prior study in June 2020, there is growing commitment to sharing data reflected in the increasing number of affirmative declarations at the time of publication. Actual sharing of data will accelerate new insights into COVID-19 through secondary re-use of data.

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Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

April 2022

Volume

115

Start / End Page

106709

Location

United States

Related Subject Headings

  • Research Design
  • Public Health
  • Pandemics
  • Intention
  • Information Dissemination
  • Humans
  • General Clinical Medicine
  • Clinical Trials as Topic
  • COVID-19
  • 42 Health sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Larson, K., Sim, I., von Isenburg, M., Levenstein, M., Rockhold, F., Neumann, S., … Li, R. (2022). COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic. Contemp Clin Trials, 115, 106709. https://doi.org/10.1016/j.cct.2022.106709
Larson, Kristina, Ida Sim, Megan von Isenburg, Marcia Levenstein, Frank Rockhold, Stan Neumann, Catherine D’Arcy, Elizabeth Graham, David Zuckerman, and Rebecca Li. “COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic.Contemp Clin Trials 115 (April 2022): 106709. https://doi.org/10.1016/j.cct.2022.106709.
Larson K, Sim I, von Isenburg M, Levenstein M, Rockhold F, Neumann S, et al. COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic. Contemp Clin Trials. 2022 Apr;115:106709.
Larson, Kristina, et al. “COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic.Contemp Clin Trials, vol. 115, Apr. 2022, p. 106709. Pubmed, doi:10.1016/j.cct.2022.106709.
Larson K, Sim I, von Isenburg M, Levenstein M, Rockhold F, Neumann S, D’Arcy C, Graham E, Zuckerman D, Li R. COVID-19 interventional trials: Analysis of data sharing intentions during a time of pandemic. Contemp Clin Trials. 2022 Apr;115:106709.
Journal cover image

Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

April 2022

Volume

115

Start / End Page

106709

Location

United States

Related Subject Headings

  • Research Design
  • Public Health
  • Pandemics
  • Intention
  • Information Dissemination
  • Humans
  • General Clinical Medicine
  • Clinical Trials as Topic
  • COVID-19
  • 42 Health sciences