Background: Specialty medication nonadherence results in poor clinical outcomes and increased costs. This study evaluated the impact of patient-tailored interventions on specialty medication adherence.
Methods: A pragmatic, randomized controlled trial was conducted at a single-center health-system specialty pharmacy from May 2019 to August 2021. Participants included recently nonadherent patients prescribed self-administered specialty medications from multiple specialty clinics. Eligible patients were stratified by historical clinic rates of nonadherence and randomized 1:1 to usual care or intervention arms. Intervention patients received patient-tailored interventions and 8 months of follow-up. A Wilcoxon test was used to analyze the difference in 6-, 8-, and 12-month post-enrollment adherence, calculated using proportion of days covered, between the intervention and usual care arms.
Results: Four hundred and thirty eight patients were randomized. Baseline characteristics were similar between groups: mostly women (68%), white (82%), with a median age of 54 years (interquartile range, 40, 64). The most common reasons for nonadherence in the intervention arm were memory (37%) and unreachability (28%). There was a significant difference in median proportion of days covered between patients in the usual care and intervention arms at 8-months (0.88 vs 0.94, P < .001), 6-months (0.90 vs 0.95, P = .003), and 12-months post-enrollment (0.87 vs 0.93, P < .001).
Conclusions: Patient-tailored interventions resulted in significant specialty medication adherence improvement compared with standard of care. Specialty pharmacies should consider targeting nonadherent patients for adherence interventions.
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http://dx.doi.org/10.1016/j.amjmed.2023.03.007 | DOI Listing |
BMC Infect Dis
December 2024
Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zürich, Zurich, 8097, Switzerland.
Introduction: The ability to detect pathogenic bacteria before the onsets of severe respiratory symptoms and to differentiate bacterial infection allows to improve patient-tailored treatment leading to a significant reduction in illness severity, comorbidity as well as antibiotic resistance. As such, this study refines the application of the non-invasive Secondary Electrospray Ionization-High Resolution Mass Spectrometry (SESI-HRMS) methodology for real-time and early detection of human respiratory bacterial pathogens in the respiratory tract of a mouse infection model.
Methods: A real-time analysis of changes in volatile metabolites excreted by mice undergoing a lung infection by Staphylococcus aureus or Streptococcus pneumoniae were evaluated using a SESI-HRMS instrument.
Arch Orthop Trauma Surg
December 2024
Department of Orthopedic Surgery, University of Miami Miller School of Medicine, NW 14th Street, Miami, FL, 33136, USA.
Objective: What is the effect of surgical or conservative treatment on the in-hospital outcomes of patients with combined fractures of the clavicle and ribs?
Design: Retrospective cohort study.
Setting: Two level-1 trauma centers and academic teaching hospitals in Boston, Massachusetts.
Patients: All adult patients with a clavicle fracture and ≥3 rib fractures admitted from 2016 to 2021.
J Orthop Case Rep
December 2024
Department of Orthopedic, Sancheti Institute for Orthopaedics and Rehabilitation, Pune, Maharashtra, India.
J Neuropsychol
December 2024
Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Spatial neglect is a post-stroke attention deficit for which there is no evidence-based intervention. Immersive virtual reality (IVR) may increase treatment efficacy, as it allows to train spatial attention in a rich environment. This study evaluated the efficacy and feasibility of an IVR patient-tailored training (HEMIRehApp).
View Article and Find Full Text PDFJ Pharmacokinet Pharmacodyn
December 2024
Research Center Pharmaceutical Engineering GmbH, 8010, Graz, Austria.
Current treatment recommendations mainly rely on rule-based protocols defined from evidence-based clinical guidelines, which are difficult to adapt for high-risk patients such as those with renal impairment. Consequently, unsuccessful therapies and the occurrence of adverse drug reactions are common. Within the context of personalized medicine, that tries to deliver the right treatment dose to maximize efficacy and minimize toxicity, the concept of model-informed precision dosing proposes the use of mechanistic models, like physiologically based pharmacokinetic (PBPK) modeling, to predict drug regimes outcomes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!