Adherence to cardiometabolic disease (CMD) medications is typically suboptimal. This study sought to evaluate the relationship between patients' medication-related experiences of care and adherence to CMD therapy. This study was conducted using electronic health records and administrative data from an ambulatory care setting. It included adult managed care beneficiaries with a prescription for CMD medications (antihyperlipidemic, antihypertensive, or antihyperglycemic agents) between 2010 and 2014, written ±14 days of an office encounter linked to a completed patient experience survey. Outcomes were primary and overall adherence. Primary adherence was defined as ever filling a CMD medication and overall adherence as ≥80% days covered over 365 days among those with an initial fill. Survey items ("inclusion in treatment decisions" and "information about medications") are measured on a scale from 1 (very poor) to 5 (very good). Logistic regression was used to assess associations between ratings on each item (5 vs. <5) and primary or overall adherence. Eligibility criteria were met by 7368 patients; 5865 had ≥1 fill. After adjusting for confounders, better patient experiences with "inclusion in treatment decisions" (adjusted odds ratio [OR]:1.16; P = 0.049) and "information about medications" (OR:1.22; P = 0.009) were associated with greater odds of overall adherence to therapy. No significant associations were found between patient experience and primary adherence. Better patient medication-related experience of care is associated with improved adherence to CMD therapy. Efforts to include patients in treatment decision making and to provide better education on medications are simple, modifiable solutions to improve adherence and resultant outcomes of CMD treatment.
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http://dx.doi.org/10.1089/pop.2017.0163 | DOI Listing |
J Craniomaxillofac Surg
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-augmented generation (RAG) can address the weaknesses of these models in terms of data transparency and scientific accuracy by incorporating current scientific knowledge into responses. In this study, RAG and GPT-4 by OpenAI were applied to develop GuideGPT, a context aware chatbot integrated with a knowledge database from 449 scientific publications designed to provide answers on the prevention, diagnosis, and treatment of medication-related osteonecrosis of the jaw (MRONJ). A comparison was made with a generic LLM ("PureGPT") across 30 MRONJ-related questions.
View Article and Find Full Text PDFClin Drug Investig
January 2025
Department of Public Health Sciences, University of Virginia, 560 Ray C Hunt Dr., Room 2107, Charlottesville, VA, USA.
Background And Objective: Cyclin-dependent kinase (CDK)4/6 inhibitors in combination with endocrine therapy (ET) significantly enhance progression-free survival and overall survival in patients diagnosed with HR+/HER2- metastatic breast cancer (MBC). However, they are highly expensive, and their economic impact has not been fully evaluated. This is a retrospective secondary analysis evaluating the cost effectiveness of these drugs, differentiating between medication-related and non-medication costs from a healthcare perspective.
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Method: This prospective, qualitative study used semi-structured phone interviews with a description approach. We used purposeful sampling to recruit 12 RNs employed at two NHs in the northeastern region of the United States.
Pharmacoepidemiol Drug Saf
January 2025
School of Population Health, RCSI University of Medicine and Health Sciences, Dublin 2, Ireland.
Background: Drug-drug interactions (DDIs), highly prevalent amongst the elderly, can lead to avoidable medication-related harm. Cardiovascular and central nervous system (CNS) drugs are commonly implicated. To date, there is no consensus on how to measure DDIs, making comparisons across countries challenging.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Pharmacy, Institute of Health Science, Wallaga University, Nekemte, Ethiopia.
Background: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. Various factors can exacerbate disease progression in patients with HF and negatively impact treatment outcomes. This study aims to evaluate the pooled prevalence and contributing factors associated with poor heart failure treatment outcomes in Ethiopia.
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