Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
by
Ross, Joseph S.
, Dhruva, Sanket S.
, Ryan, Patrick
, Shah, Nilay D.
, Bartlett, Victoria L.
in
Clinical trials
/ Electronic health records
/ Insurance claims
/ Intervention
/ Online Only
/ Original Investigation
/ Statistics and Research Methods
2019
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
by
Ross, Joseph S.
, Dhruva, Sanket S.
, Ryan, Patrick
, Shah, Nilay D.
, Bartlett, Victoria L.
in
Clinical trials
/ Electronic health records
/ Insurance claims
/ Intervention
/ Online Only
/ Original Investigation
/ Statistics and Research Methods
2019
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
by
Ross, Joseph S.
, Dhruva, Sanket S.
, Ryan, Patrick
, Shah, Nilay D.
, Bartlett, Victoria L.
in
Clinical trials
/ Electronic health records
/ Insurance claims
/ Intervention
/ Online Only
/ Original Investigation
/ Statistics and Research Methods
2019
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
Journal Article
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
2019
Request Book From Autostore
and Choose the Collection Method
Overview
Although randomized clinical trials are considered to be the criterion standard for generating clinical evidence, the use of real-world evidence to evaluate the efficacy and safety of medical interventions is gaining interest. Whether observational data can be used to address the same clinical questions being answered by traditional clinical trials is still unclear.
To identify the number of clinical trials published in high-impact journals in 2017 that could be feasibly replicated using observational data from insurance claims and/or electronic health records (EHRs).
In this cross-sectional analysis, PubMed was searched to identify all US-based clinical trials, regardless of randomization, published between January 1, 2017, and December 31, 2017, in the top 7 highest-impact general medical journals of 2017. Trials were excluded if they did not involve human participants, did not use end points that represented clinical outcomes among patients, were not characterized as clinical trials, and had no recruitment sites in the United States.
The primary outcomes were the number and percentage of trials for which the intervention, indication, trial inclusion and exclusion criteria, and primary end points could be ascertained from insurance claims and/or EHR data.
Of the 220 US-based trials analyzed, 33 (15.0%) could be replicated using observational data because their intervention, indication, inclusion and exclusion criteria, and primary end points could be routinely ascertained from insurance claims and/or EHR data. Of the 220 trials, 86 (39.1%) had an intervention that could be ascertained from insurance claims and/or EHR data. Among the 86 trials, 62 (72.1%) had an indication that could be ascertained. Forty-five (72.6%) of 62 trials had at least 80% of inclusion and exclusion criteria data that could be ascertained. Of these 45 studies, 33 (73.3%) had at least 1 primary end point that could be ascertained.
This study found that only 15% of the US-based clinical trials published in high-impact journals in 2017 could be feasibly replicated through analysis of administrative claims or EHR data. This finding suggests the potential for real-world evidence to complement clinical trials, both by examining the concordance between randomized experiments and observational studies and by comparing the generalizability of the trial population with the real-world population of interest.
Publisher
American Medical Association
This website uses cookies to ensure you get the best experience on our website.