Real-World Prescription Drug Utilization and Costs of Biological Therapies in Inflammatory Bowel Disease

2017 ◽  
Vol 152 (5) ◽  
pp. S791
Author(s):  
Helen Yu ◽  
K.T. Park
2021 ◽  
Vol 28 (1) ◽  
pp. e100337
Author(s):  
Vivek Ashok Rudrapatna ◽  
Benjamin Scott Glicksberg ◽  
Atul Janardhan Butte

ObjectivesElectronic health records (EHR) are receiving growing attention from regulators, biopharmaceuticals and payors as a potential source of real-world evidence. However, their suitability for the study of diseases with complex activity measures is unclear. We sought to evaluate the use of EHR data for estimating treatment effectiveness in inflammatory bowel disease (IBD), using tofacitinib as a use case.MethodsRecords from the University of California, San Francisco (6/2012 to 4/2019) were queried to identify tofacitinib-treated IBD patients. Disease activity variables at baseline and follow-up were manually abstracted according to a preregistered protocol. The proportion of patients meeting the endpoints of recent randomised trials in ulcerative colitis (UC) and Crohn’s disease (CD) was assessed.Results86 patients initiated tofacitinib. Baseline characteristics of the real-world and trial cohorts were similar, except for universal failure of tumour necrosis factor inhibitors in the former. 54% (UC) and 62% (CD) of patients had complete capture of disease activity at baseline (month −6 to 0), while only 32% (UC) and 69% (CD) of patients had complete follow-up data (month 2 to 8). Using data imputation, we estimated the proportion achieving the trial primary endpoints as being similar to the published estimates for both UC (16%, p value=0.5) and CD (38%, p-value=0.8).Discussion/ConclusionThis pilot study reproduced trial-based estimates of tofacitinib efficacy despite its use in a different cohort but revealed substantial missingness in routinely collected data. Future work is needed to strengthen EHR data and enable real-world evidence in complex diseases like IBD.


2021 ◽  
Vol 14 ◽  
pp. 175628482110106
Author(s):  
Fabio Salvatore Macaluso ◽  
Marcello Maida ◽  
Mauro Grova ◽  
Federica Crispino ◽  
Giulia Teresi ◽  
...  

During past years, the increasing knowledge of molecular mechanisms of inflammatory bowel disease (IBD) have led to the development of several targeted biological therapies. This great expansion of available medical options has prompted the need for comparative data between drugs. For years, given that most randomized controlled trials (RCTs) were performed only versus placebo, this demand has clashed with the absence of head-to-head trials comparing two or more treatments. The quality of evidence coming from real-world experience was low overall, so it was extremely difficult to clarify the correct positioning of the biologicals inside the therapeutic algorithms for IBD. Fortunately, times are changing: head-to-head comparative RCTs have been conducted or are ongoing, and the methodological quality of real-world studies is gradually increasing, mainly thanks to a higher rate of application of statistical methods capable of reducing the selection bias, such as the propensity score. In this evolving scenario, the increasing number of comparative RCTs is providing high-quality data for a correct drug positioning in IBD. In parallel, real-world observational studies are supporting the data coming from RCTs, and covering those comparisons not performed in the RCT setting. We believe that there is moderate evidence already available to support clinicians in the correct choice between different biologicals, and data will certainly be more robust in the near future.


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