Objectives: To use publicly available price transparency data files to establish empirical regularities about hospital-insurer contracting.
Study Design: Retrospective analysis of 10 price transparency data files from HCA Healthcare.
Methods: Cross-sectional qualitative analysis of 524 hospital-insurer contracts across 10 hospitals.
Results: We ascertain 4 empirical regularities in these files. First, hospitals contract with many payers, ranging from 35 to 82 across the hospitals in the sample. Second, contract structure varies significantly within and across hospitals: Of the 524 contracts in our sample, the median contract contained 9 contract elements, whereas the mean contract contained 1285 contract elements. Third, most of the contracts in our sample contained multiple contracting methodologies (eg, both fixed fee and percentage of charges). Fourth, these contracts indicated substantial variation for the same service within and across hospitals, validating findings from analyses based on claims data and hospital price transparency files.
Conclusions: Hospital-insurer contracts dictate the flow and structure of a significant portion of total health care expenditure in the US. Increased attention by both researchers and policy makers would lead to a greater understanding of this vital-yet understudied-element of the market for hospital services.
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http://dx.doi.org/10.37765/ajmc.2024.89502 | DOI Listing |
J Imaging
January 2025
Laboratory Health Systemic Process (P2S), UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008 Lyon, France.
As technology develops, consumer behavior and how people search for what they want are constantly evolving. Online shopping has fundamentally changed the e-commerce industry. Although there are more products available than ever before, only a small portion of them are noticed; as a result, a few items gain disproportionate attention.
View Article and Find Full Text PDFMed Decis Making
January 2025
Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Our commentary proposes the application of directed acyclic graphs (DAGs) in the design of decision-analytic models, offering researchers a valuable and structured tool to enhance transparency and accuracy by bridging the gap between causal inference and model design in medical decision making.The practical examples in this article showcase the transformative effect DAGs can have on model structure, parameter selection, and the resulting conclusions on effectiveness and cost-effectiveness.This methodological article invites a broader conversation on decision-modeling choices grounded in causal assumptions.
View Article and Find Full Text PDFJ Pharm Policy Pract
January 2025
Austrian Institute for Health Technology Assessment (AIHTA), Vienna, Austria.
Background: Within the context of increasing transparency around public contributions, a framework for reporting and analysing public contributions to research and development (R&D) was previously developed and is piloted here using the example of antibiotics. The aim of this work is to check whether the category system is feasible, to revise and adjust the granularity of the category system where necessary, and to expand the range of sources for detailed analyses.
Methods: All antimicrobial medicinal products in development, discontinued and approved in the last 10 years were identified in the literature.
BMC Public Health
January 2025
Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Background: Health Technology Assessment (HTA) is crucial for optimizing healthcare investments and improving system efficiency. In Iran, the rising costs of healthcare technologies and systemic inefficiencies have highlighted the need for a structured HTA framework. However, despite academic discussions, HTA has not yet been fully integrated into formal health policy.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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