Purpose: There is increasing recognition of the importance of transparency and reproducibility in scientific research. This study aimed to quantify the extent to which programming code is publicly shared in pharmacoepidemiology, and to develop a set of recommendations on this topic.
Methods: We conducted a literature review identifying all studies published in Pharmacoepidemiology and Drug Safety (PDS) between 2017 and 2022.
Objective: The authors aimed to describe the development and testing of quality measures included in a public-facing addiction treatment facility search engine.
Methods: An addiction treatment facility survey was created that queried providers in six U.S.
Purpose: Fentanyl transdermal system (FTS) is intended only for patients with prior opioid tolerance. The purpose of this study is to identify the proportion of new FTS users who had evidence of prior opioid tolerance, by dosage strength, in FDA's Sentinel System.
Methods: We identified new FTS episodes (183-day washout) from 2009 through 2013.
Introduction: Nearly 90% of drugs dispensed in the US are generic products.
Objective: The aim of this study was to develop and implement a tool for analyzing manufacturer-level drug utilization and switching patterns within the US Food and Drug Administration's Sentinel system.
Methods: A descriptive tool was designed to analyze data in the Sentinel common data model and was tested with two case studies-metoprolol extended release (ER) and lamotrigine ER-using claims data from four Sentinel data partners.
Objective: A risk evaluation and mitigation strategy for extended-release and long-acting (ER/LA) opioid analgesics was approved by the Food and Drug Administration in 2012. Our objective was to assess frequency of opioid tolerance and urine drug testing for individuals initiating ER/LA opioid analgesics.
Design: Retrospective cohort study.
Persons of Hispanic/Latino descent may represent different ancestries, ethnic and cultural groups and countries of birth. In the U.S.
View Article and Find Full Text PDFAnn N Y Acad Sci
January 2017
This paper defines the attributes of distributed data networks and outlines the data and analytic infrastructure needed to build and maintain a successful network. We use examples from one successful implementation of a large-scale, multisite, healthcare-related distributed data network, the U.S.
View Article and Find Full Text PDFThis study was conducted in order to assess the prevalence of use of selective serotonin reuptake inhibitors (SSRIs) among pregnant women delivering a liveborn infant in the USA. A retrospective study was conducted using the automated databases of 15 health-care systems participating in the Mini-Sentinel program. Diagnosis and procedure codes were used to identify women ages 10 to 54 years delivering a liveborn infant between April 2001 and December 2013.
View Article and Find Full Text PDFPurpose: Our purpose was to quantify missing baseline laboratory results, assess predictors of missingness, and examine performance of missing data methods.
Methods: Using the Mini-Sentinel Distributed Database from three sites, we selected three exposure-outcome scenarios with laboratory results as baseline confounders. We compared hazard ratios (HRs) or risk differences (RDs) and 95% confidence intervals (CIs) from models that omitted laboratory results, included only available results (complete cases), and included results after applying missing data methods (multiple imputation [MI] regression, MI predictive mean matching [PMM] indicator).
Objective: To describe the impact of arthritis and other rheumatic conditions on hospitals by describing the magnitude and characteristics of these hospitalizations.
Methods: Data from the 1997 National Hospital Discharge Survey were used to examine this impact. Arthritis was defined using International Classification of Diseases, 9th Revision, Clinical Modification, codes specified by the National Arthritis Data Workgroup.