Objective: The purpose of this paper is to describe the philosophy and utility of value-based designs (VBDs), with an eye toward defining a pathway for a shift to VBDs across US businesses involved in the health care discussion.
Methods: A 12-question survey of 36 companies that had been identified as emerging leaders in health and productivity management was administered by telephone interview and, later, by online interview. Information collected included company size, business sector, prevention, wellness, data accessibility and integration, condition management, C-suite visibility, and culture of health. Answers were scored on a scale from 1 to 10 per category; the maximum score was 50 points. These scores were used to indicate patterns of development and define the pathway to maturity. Experts resurveyed the data to quantify change over time, which was used as a proxy for dividends. A pathway, or continuum, was graphed based on the scoring.
Results: Three segments were found to be clearly correlated with the reported experiences from the surveys-patterns of data use, targeted population change, and services and metrics. The movement through the continuum begins with a focus on prevention and wellness across the entire population, next uses data to identify current waste (inefficiencies in specific segments of the population regarding chronic care, accessibility, and quality/reimbursement, and inefficiencies in care delivery), and finally merges the total health and wealth of segments of the population into one coordinated strategy to maximize the total health value of every dollar spent at the individual and system level.
Conclusions: The market for VBDs has grown rapidly. The pathway to success-including the data needed, designs created, services acquired to change behavior, and dividends over time-can be shown to be replicable, scalable, and sustainable.
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http://dx.doi.org/10.1016/j.clinthera.2009.11.023 | DOI Listing |
Palliat Support Care
January 2025
Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Objectives: Explore humanitarian healthcare professionals' (HCPs) perceptions about implementing children's palliative care and to identify their educational needs and challenges, including learning topics, training methods, and barriers to education.
Methods: Humanitarian HCPs were interviewed about perspectives on children's palliative care and preferences and needs for training. Interviews were transcribed, coded, and arranged into overarching themes.
JMIR Public Health Surveill
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Via Loredan 18, Padova, Italy, 39 049 8275384.
Background: As the COVID-19 pandemic has affected populations around the world, there has been substantial interest in wastewater-based epidemiology (WBE) as a tool to monitor the spread of SARS-CoV-2. This study investigates the use of WBE to anticipate COVID-19 trends by analyzing the correlation between viral RNA concentrations in wastewater and reported COVID-19 cases in the Veneto region of Italy.
Objective: We aimed to evaluate the effectiveness of the cumulative sum (CUSUM) control chart method in detecting changes in SARS-CoV-2 concentrations in wastewater and its potential as an early warning system for COVID-19 outbreaks.
Parasitology
January 2025
CUNY Institute for Implementation Science in Population Health, City University of New York, NY, NY, Chile.
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Circ Genom Precis Med
January 2025
Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).
Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.
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