Retrospective administrative claims database studies provide real-world evidence about treatment patterns, healthcare resource use, and costs for patients and are increasingly used to inform policy-making, drug formulary, and regulatory decisions. However, there is no standard methodology to identify patients with pulmonary arterial hypertension (PAH) from administrative claims data. Given the number of approved drugs now available for patients with PAH, the cost of PAH treatments, and the significant healthcare resource use associated with the care of patients with PAH, there is a considerable need to develop an evidence-based and systematic approach to accurately identify these patients in claims databases. A panel of pulmonary hypertension clinical experts and researchers experienced in retrospective claims database studies convened to review relevant literature and recommend best practices for developing algorithms to identify patients with PAH in administrative claims databases specific to a particular research hypothesis.
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http://dx.doi.org/10.1513/AnnalsATS.201810-672CME | DOI Listing |
Prostate Int
September 2024
Department of Urology, Konkuk University Medical Center, Seoul, Korea.
Background: Studies on the association between hematospermia and prostate cancer are insufficient. The purpose of this study was to determine the prevalence of prostate cancer in patients with hematospermia using large United States population data.
Materials And Methods: This was a retrospective observational cohort study.
Am J Epidemiol
January 2025
Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida.
Background: The accuracy of low birth weight (LBW) and small for gestational age (SGA) in administrative healthcare records is crucial for perinatal studies but has few validity studies.
Methods: Using 1999-2010 MAX linked to birth certificates (BC), we identified mother-infant dyads (≥30 days enrollment after delivery, with valid gestational age (GA) and birth weight (BW)). LBW and SGA were identified based on ICD-9-CM codes.
Child Abuse Negl
January 2025
Social Science Research Institute, Pennsylvania State University, United States of America. Electronic address:
Background: Neonatal abstinence syndrome (NAS), or withdrawal from prenatal opioid exposure at birth, can trigger a referral to child protective services (CPS). However, there is some evidence of selection into NAS diagnosis because NAS screening is not universal. Such referrals may protect the infant, help connect the mother to services, or cause harm.
View Article and Find Full Text PDFHealth Serv Res
January 2025
Schaeffer Center for Health Policy & Economics, Price School of Public Policy, University of Southern California, Los Angeles, California, USA.
Objective: To understand how Medicare Advantage (MA) networks impact utilization patterns and plan choices, using the 2019 discontinuation of MA 1876 Cost plans as a natural experiment.
Study Setting And Design: We study 1876 Cost plans, MA plans for which out-of-network care is covered through traditional Medicare (TM) and many of which CMS discontinued in 2019. We characterize the proportion of Cost plan enrollees who utilized out-of-network care in 2018 from different types of medical specialties.
Pharmacoepidemiol Drug Saf
January 2025
Observational Health Data Science and Informatics, New York, New York, USA.
Introduction: The aim of this study is to use observational methods to evaluate reliability of evidence generated by a study of the effect of glucagon-like peptide 1 receptor agonists (GLP-1RA) on chronic lower respiratory disease (CLRD) outcomes among Type-2 diabetes mellitus (T2DM) patients.
Research Design And Methods: We independently reproduced a study comparing effects of GLP-1RA versus dipeptidyl peptidase-4 inhibitors (DPP4-i) on CLRD outcomes among patients with T2DM and prior CLRD. We reproduced inputs and outputs using the original study data (national administrative claims) and evaluated the robustness of results in comparison to alternate design/analysis decisions.
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