Medicare Accountable Care Organizations (ACOs) have achieved high-quality performance and recent cost savings, but little is known about how local market conditions influence provider adoption. The authors describe physician practice participation in Medicare ACOs at the county level and use adjusted logistic regression to assess the association between ACO presence and 3 characteristics hypothesized to influence ACO formation: physician market concentration, Medicare Advantage (MA) penetration, and commercial health insurance market concentration. Analyses are repeated on urban and rural county subgroups to examine geographic differences in ACO adoption. Practice participation in ACOs grew 19% nationally from 5.4% to 6.4% of practices between 2015 to 2017, but participation lagged in the West and rural counties, the latter of which had relatively concentrated physician markets and low MA penetration. After controlling for urban location, population density, and other covariates, ACO presence in a county was independently associated with less concentrated physician markets and moderate MA penetration but not commercial insurance concentration. The evidence suggests that Medicare ACO programs have continued appeal to physician practices, but additional engagement strategies may be needed to expand adoption in rural areas. In addition, greater practice competition and MA experience may facilitate ACO adoption. These insights into the relationship between market conditions and ACO participation have important implications for policy efforts to accelerate Medicare payment transformation.
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http://dx.doi.org/10.1089/pop.2020.0060 | DOI Listing |
BMC Health Serv Res
December 2024
Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Background: Most approaches to healthcare reform envision an enhanced role for primary care providers, supported by innovative payment methodology and improved resources. However, there are currently no instruments to measure providers' ability and willingness to work with existing tools provided by payers, such as Accountable Care Organizations (ACO). In this study, we develop and psychometrically test a new instrument to measure provider engagement with ACOs.
View Article and Find Full Text PDFNature
November 2024
Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.
The tumour microenvironment is programmed by cancer cells and substantially influences anti-tumour immune responses. Within the tumour microenvironment, CD8 T cells undergo full effector differentiation and acquire cytotoxic anti-tumour functions in specialized niches. Although interactions with type 1 conventional dendritic cells have been implicated in this process, the underlying cellular players and molecular mechanisms remain incompletely understood.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
September 2024
Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Background: Segmentation of skin lesions remains essential in histological diagnosis and skin cancer surveillance. Recent advances in deep learning have paved the way for greater improvements in medical imaging. The Hybrid Residual Networks (ResUNet) model, supplemented with Ant Colony Optimization (ACO), represents the synergy of these improvements aimed at improving the efficiency and effectiveness of skin lesion diagnosis.
View Article and Find Full Text PDFPrim Health Care Res Dev
September 2024
Faculty of Medicine, Respiratory Medicine Division, University of British Columbia, Vancouver, Canada.
Aim: To explore the views of tobacco-smoking chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) patients on telehealth-based cessation programs and the role of e-cigarettes as an aid to quit smoking.
Background: Tobacco smoking accelerates the progression of COPD. Traditional smoking cessation programs often do not entirely address the unique needs of COPD patients, leading to suboptimal effectiveness for this population.
Sensors (Basel)
June 2024
College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China.
The main limitation of wireless sensor networks (WSNs) lies in their reliance on battery power. Therefore, the primary focus of the current research is to determine how to transmit data in a rational and efficient way while simultaneously extending the network's lifespan. In this paper, a hybrid of a fuzzy logic system and a quantum annealing algorithm-based clustering and routing protocol (FQA) is proposed to improve the stability of the network and minimize energy consumption.
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