The American journal of managed care
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To evaluate the effect of a predictive algorithm-driven disease management (DM) outreach program compared with non-predictive algorithm-driven DM program participation on health care spending and utilization. ⋯ A prediction-driven DM outreach program among patients with CHF was effective in reducing medical spending in the year after the outreach compared with traditional DM outreach programs.
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Health plans can gain efficiencies and improve quality by connecting to health information networks and incentivizing hospital and provider participation as part of pay-for-performance programs.
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Multiple sclerosis (MS) is a chronic, immune-mediated, neurodegenerative condition that results in progressive accumulation of disability over the course of the disease. MS presents heterogeneously, and, as the disease progresses, patients develop a range of physical and neurologic problems that include reduced mobility, cognitive impairment, weakness, fatigue, pain, and defects in speech or vision. Economically, MS is costly, including both direct costs stemming from clinical care and medications and the indirect costs of productivity losses. ⋯ Ongoing research continues to elucidate the exact mechanisms of disease in MS as well as potential new treatment strategies that may better address current gaps, such as disability progression in secondary progressive MS without activity. One of the novel pathways under investigation is the inhibition of Bruton tyrosine kinase, a cytoplasmic tyrosine kinase, which is expressed in B cells and other potentially targetable hematopoietic lineage cells. This review examines emerging hypotheses that targeting both B cells and myeloid cells within the periphery and central nervous system could yield clinical effects in key areas of MS pathophysiology that are currently unaddressed.
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Estimated glomerular filtration rate (eGFR) and albuminuria, the current standard-of-care tests that predict risk of kidney function decline in early-stage diabetic kidney disease (DKD), are only modestly useful. We evaluated the decision-making impact of an artificial intelligence-enabled prognostic test, KidneyIntelX, in the management of DKD by primary care physicians (PCPs). ⋯ The KidneyIntelX test had greater relative importance than albuminuria and eGFR to PCPs in making treatment decisions and was second only to eGFR for nephrologist referrals. Because of its significant impact on decision-making, KidneyIntelX has high clinical utility in DKD management.
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Obesity is a serious, progressive, chronic disease that is associated with a spectrum of complications and poor outcomes (eg, premature death, diminished quality of life) and is a risk factor for several other diseases. Obesity increases the risk of developing type 2 diabetes, cardiovascular disease, and certain cancers. More recently, obesity was recognized as a risk factor for poor outcomes in patients with COVID-19. ⋯ In the United States, the economic burden of obesity is immense-according to estimates, hundreds of billions of dollars are spent annually on direct medical needs and lost productivity associated with obesity. More severe classes of obesity greatly impact both the health of individuals and health care expenditures. As obesity becomes more prevalent, policy makers, health care professionals, and payers must consider its clinical, social, and economic implications.