Background: The Medicare Modernization Act, with its requirements for Medicare Part D to comply with electronic prescribing (e-prescribing), bolstered the adoption of e-prescribing, which increased to 73% in 2013. Therefore, understanding whether electronic prescriptions are less likely to be picked up is important as e-prescribing continues to be emphasized.
Objective: To assess whether prescription origin is among the factors associated with initial medication adherence, using claim reversals as a proxy measure.
Methods: A cross-sectional study was completed using a sample of reversed claims from the Pharmaceutical Assistance Contract for the Elderly (PACE) program for September 2014. The total number of reversed claims for new prescriptions (15,966) was categorized by prescription origin (written, telephone, electronic, fax, and pharmacy). Using a chi-square analysis, the reversed claims were compared among prescription origin to determine if there is a difference in the proportion of electronic prescriptions reversed compared with those from other origins.
Results: When compared with all other prescription origins, electronic prescriptions (E) were more likely to be reversed at day 0 (E = 50%, any other [AO] = 49%, P < 0.05) and after day 0 (E = 58%, AO = 42%, P < 0.05).
Conclusions: Electronic prescriptions are associated with a higher rate of claim reversals and may reflect poorer initial adherence. Electronic prescriptions may more likely be forgotten or not picked up because they were not presented to the pharmacy by the patient. The growing adoption of electronic prescriptions merits particular attention, since it may be a factor in initial medication adherence in the elderly.
Disclosures: This study was not supported by any funding. Peterson reports advisory board and consultancy fees from IMS Health and Pfizer and employment by Genentech. Klaiman is currently employed by AccessMatters. No other financial or other conflicts of interests were reported. Study concept and design were primarily contributed by Forestal, along with Klaiman and Peterson. Heller took the lead in data collection, along with Forestal, and data interpretation was performed by Forestal, Klaiman, and Peterson. Forestal, Klaiman, and Heller were responsible for manuscript preparation.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398187 | PMC |
http://dx.doi.org/10.18553/jmcp.2016.22.9.1046 | DOI Listing |
Background: The development and approval of novel drugs are typically time-intensive and expensive. Leveraging a computational drug repurposing framework that integrates disease-relevant genetically regulated gene expression (GReX) and large longitudinal electronic medical record (EMR) databases can expedite the repositioning of existing medications. However, validating computational predictions of the drug repurposing framework remains a challenge.
View Article and Find Full Text PDFElectronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.
View Article and Find Full Text PDFJ Glob Antimicrob Resist
January 2025
Dept of Respiratory Medicine, Harefield Hospital, Hill End Rd, UB9 6JH, London, UK. Electronic address:
Objectives: Antibacterial-resistant gram-negative hospital-acquired infections result in significant morbidity and mortality. In clinical trials, ceftolozane/tazobactam (C/T) has been effective against these infections; however, real-world findings are limited.
Methods: SPECTRA was a global, retrospective, observational inpatient study of adults treated with C/T for ≥48 hours, conducted between 2016 and 2020.
J Subst Use Addict Treat
January 2025
Ohio University Heritage College of Osteopathic Medicine; Appalachian Institute to Advance Health Equity Science (ADVANCE), Athens, OH 45701, United States of America. Electronic address:
Introduction: Buprenorphine is a highly effective medication for opioid use disorder (MOUD; OUD), which can be prescribed alongside naloxone in the primary care setting as part of a harm reduction approach to OUD. Despite this potential, implementation challenges have limited adoption of MOUD. To address barriers at the organizational level, we need better tools to measure perceived organizational support for the treatment of OUD and use of MOUD in the primary care setting.
View Article and Find Full Text PDFJ Subst Use Addict Treat
January 2025
Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, United States of America. Electronic address:
Introduction: Buprenorphine and other medications for opioid use disorder (MOUD) are highly effective but substantially under prescribed in the rural United States. Among the most cited barriers to buprenorphine prescribing is stigma, yet little progress has been made in developing successful strategies to reduce stigma and increase access to life-saving medication. One of the key challenges to developing successful implementation strategies is understanding the different types of stigma that limit implementation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!