Aim: Evaluate the cost utility of menopausal hormone therapy for women in China.
Materials And Methods: A bespoke Markov cost utility model was developed to evaluate a cohort of symptomatic perimenopausal women (>45 years) with intact uterus in China in accordance with China's Pharmacoeconomic guideline. Short (5-year) and long (10-year) treatment durations were evaluated over a lifetime model time horizon with 12-month cycle duration. Societal and healthcare payer perspectives were evaluated in the context of a primary care provider/prescriber, outpatient setting with inpatient care for patients with chronic conditions. Disease risk and mortality parameters were derived from focused literature searches, and China Diagnosis-related Group cost data was included. Comprehensive scenario, univariate and probabilistic sensitivity analysis were undertaken along with independent validation. This is the first model to include MHT-related disease risks.
Results: According to base case results, the total cost for MHT was 22,516$ (150,106¥) and total quality adjusted life years 12.32 versus total cost of no MHT 30,824$ (205,495¥) and total quality adjusted life years 11.16 resulting in a dominant incremental cost effectiveness ratio of -7,184$ (-47,898¥) per QALY. Results hold true over a range of univariate deterministic sensitivity and scenario analyses. Probabilistic analysis showed a 91% probability of being cost effective at a willingness to pay threshold of three times Gross Domestic Product per capita in China.
Conclusion: Contingent on the structure and assumptions of the model, combination of estradiol plus dydrogesterone MHT is potentially cost saving in symptomatic women over the age of 45 years in China.
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http://dx.doi.org/10.1080/13696998.2023.2289297 | DOI Listing |
Am J Manag Care
January 2025
Health Economics Resource Center, VA Palo Alto Health Care System, 795 Willow Rd, Menlo Park, CA 94025. Email:
Objectives: Unused medical appointments affect both patient care and clinic operations, and the frequency of cancellations due to clinic reasons is underreported. The prevalence of these unused appointments in primary care in the Veterans Affairs Health Care System (VA) is unknown. This study examined the prevalence of unused primary care appointments and compared the relative frequency of cancellations and no-shows for patient and clinic reasons.
View Article and Find Full Text PDFAm J Manag Care
January 2025
Schaeffer Center for Health Policy & Economics, University of Southern California, 635 Downey Way, Verna & Peter Dauterive Hall, Los Angeles, CA 90089. Email:
Objectives: To assess trends in the medical loss ratio (MLR) and understand how health insurance premiums in the large group market are driven by medical claims spending and insurer margins.
Study Design: Study of approximately 500 insurers covering more than 40 million lives annually in the large group market that submitted an MLR submission form (2014-2022).
Methods: We assessed trends in the MLR, premiums, medical claims spending, administrative costs, quality improvement spending, and margins among all insurers in the large group market.
Am J Manag Care
January 2025
Department of Orthopedic Surgery, Duke University School of Medicine, 311 Trent Dr, Durham, NC 27710. Email:
Objectives: Patients are often discharged to a skilled nursing facility (SNF) for postacute rehabilitation. Functional outcomes achieved in SNFs are variable, and costs are high. Especially for accountable care organizations (ACOs), home-based postacute rehabilitation offers a high-value option if outcomes are not compromised.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom.
Objective: A proof-of-concept study aimed at designing and implementing Visual & Interactive Engagement With Electronic Records (VIEWER), a versatile toolkit for visual analytics of clinical data, and systematically evaluating its effectiveness across various clinical applications while gathering feedback for iterative improvements.
Materials And Methods: VIEWER is an open-source and extensible toolkit that employs natural language processing and interactive visualization techniques to facilitate the rapid design, development, and deployment of clinical information retrieval, analysis, and visualization at the point of care. Through an iterative and collaborative participatory design approach, VIEWER was designed and implemented in one of the United Kingdom's largest National Health Services mental health Trusts, where its clinical utility and effectiveness were assessed using both quantitative and qualitative methods.
Brief Bioinform
November 2024
Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
Studying the changes in cellular transcriptional profiles induced by small molecules can significantly advance our understanding of cellular state alterations and response mechanisms under chemical perturbations, which plays a crucial role in drug discovery and screening processes. Considering that experimental measurements need substantial time and cost, we developed a deep learning-based method called Molecule-induced Transcriptional Change Predictor (MiTCP) to predict changes in transcriptional profiles (CTPs) of 978 landmark genes induced by molecules. MiTCP utilizes graph neural network-based approaches to simultaneously model molecular structure representation and gene co-expression relationships, and integrates them for CTP prediction.
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