Objective: To evaluate the cost utility and the budget impact of adjuvant racecadotril for the treatment of acute diarrhea in children in Thailand.
Methods: A cost utility model has been adapted to the context of Thailand to evaluate racecadotril plus oral rehydration solution (R+ORS) versus oral rehydration solution (ORS) alone for acute diarrhea in children <5 years old. The decision tree Excel model evaluates the costs and effects (quality-adjusted life years) over a 6-day time horizon from a public health care payer's perspective in Thailand. Deterministic sensitivity analysis and budget impact analysis have been undertaken.
Results: According to the cost utility model, the intervention (R+ORS) is less costly and more effective than the comparator (ORS) for the base case with a dominant incremental cost-effectiveness ratio of -2,481,390฿ for the intervention. According to the budget impact analysis (assuming an increase of 5% market share for R+ORS over 5 years), the year-on-year reduction for diarrhea as a percentage of the total health care expenditure is -0.0027%, resulting in potential net cost savings of -35,632,482฿ over 5 years.
Conclusion: Subject to the assumptions and limitations of the models, adjuvant racecadotril versus ORS alone is potentially cost-effective for children in Thailand and uptake could translate into savings for the Thailand public health care system.
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http://dx.doi.org/10.2147/CEOR.S140902 | 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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