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Background Competition for patients among orthopaedic private practices, multi-specialty groups, and hospital systems continues to persist. An effective marketing campaign is essential for a practice to succeed in this competitive environment. The purpose of this study was to investigate the cost-effectiveness and efficacy of each marketing campaign and the influence of patient demographics on efficacy. Methods The first 300 consecutive, new patients were prospectively surveyed on how they initially discovered and then selected the orthopaedic practice. Demographics and marketing costs were tabulated and categorized to analyze the effectiveness of each marketing strategy. Results A substantial portion of the marketing budget was allocated for traditional (67.0%) and online advertising (25.0%). However, only 56/300 (18.7%) patients surveyed were brought to the practice by these methods combined. In contrast, expenditure on a marketing liaison (8.0%) delivered 128 patients (42.7%) through referrals: 80 (26.7%) from physicians, 28 (9.3%) from urgent cares, 17 (5.7%) from physical therapists, and 3 (1.0%) from attorneys. Conclusion Marketing strategies were not proportionally beneficial during the first six months of the orthopaedic practice start-up period. During this early ramping up period, the most cost-effective marketing strategy was utilization of a liaison for direct in-person visits to various healthcare facilities.
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http://dx.doi.org/10.7759/cureus.18122 | DOI Listing |
Dev World Bioeth
September 2025
Faculty of Law, University of Alberta, Edmonton, Alberta, Canada.
This article explores two complementary strategies for addressing the affordability and access challenges facing advanced therapies. As high development costs and limited market access have led to the withdrawal of several therapies, the article examines how these barriers create 'valleys of death' that prevent innovation from reaching patients. Through the case of Glybera and other examples, it outlines a rehabilitative approach focused on reforming current systems through improved reimbursement schemes, regulatory streamlining, and more efficient manufacturing.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Ophthalmology, The First Affiliated Hospital of Dalian Medical University.
Diabetic retinopathy (DR) remains a leading cause of preventable blindness worldwide, with the affected population projected to reach 270 million by 2045. Our study analyzed 2 434 interventional trials registered between 2007 and 2024 in the Informa Pharma Intelligence database and found that anti-VEGF agents dominate the therapeutic landscape-bevacizumab represents 24.0 % of studies, ranibizumab 15.
View Article and Find Full Text PDFJ Comp Eff Res
September 2025
British Heart Foundation, University of Glasgow, Glasgow, UK.
The first paper of this two-part series critically examined the role of composite endpoints in health technology assessments (HTAs) and outlined strategies for determining whether to employ the composite estimate of treatment effect or disaggregate into the component endpoints of the composite and apply separate treatment effects within a modeling framework. In this second paper, we expand the discussion beyond a pivotal trial and consider the way in which additional evidence from the same indication for different drugs in the same class, or the same drug for different indications, could be employed within HTAs. We offer a continuation of the case study of dapagliflozin for the treatment of heart failure with preserved or mildly reduced ejection fraction, where the evidence base was expanded to consider empagliflozin for the same indication, as well as both dapagliflozin and empagliflozin for heart failure with reduced ejection fraction.
View Article and Find Full Text PDFJ Comp Eff Res
September 2025
British Heart Foundation, University of Glasgow, Glasgow, UK.
Composite endpoints amalgamate multiple clinical outcomes into a single measure, offering efficiency gains in clinical trials through increased event rates and reduced sample sizes, thus accelerating clinical development and regulatory approval. However, employing composite endpoints introduces complexities into health technology assessments (HTAs), particularly in economic modeling, due to the varying clinical significance and cost implications of the components. In this paper, we explore best modeling practice for HTAs that are based on clinical trials that employ composite endpoints.
View Article and Find Full Text PDFFront Big Data
August 2025
MaiNLP, Center for Information and Language Processing, LMU Munich, Munich, Germany.
Predicting career trajectories is a complex yet impactful task, offering significant benefits for personalized career counseling, recruitment optimization, and workforce planning. However, effective career path prediction (CPP) modeling faces challenges including highly variable career trajectories, free-text resume data, and limited publicly available benchmark datasets. In this study, we present a comprehensive comparative evaluation of CPP models-linear projection, multilayer perceptron (MLP), LSTM, and large language models (LLMs)-across multiple input settings and two recently introduced public datasets.
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