The American Journal of Accountable Care > September 2016
The American Journal of Accountable Care - September 2016
The American Journal of Accountable Care
September 14, 2016 – Etti G. Baranoff, PhD; Dalit Baranoff, PhD; Thomas W. Sager, PhD; and Bo Shi, PhD
Analysis of the rich data of US health insurers-pivotal players in the healthcare system-reveals continuing reductions in employer-provided group health insurance and increases in Medicaid members and utilizations following the Affordable Care Act.
September 14, 2016 – Jodi H. Leslie, DrPH, RDN, LDN; Eric L. Hurwitz, PhD; Rachel Novotny, PhD; and Deborah A. Taira, ScD
Sociodemographic characteristics of blue-collar workers may be attributed to the higher rates of obesity and chronic disease seen among them compared with white-collar workers.
September 14, 2016 – Charles Carlini, MD, JD, and Teresa Forth, RN, BSN
Researchers calculated savings available to healthcare insurers if providers of obstetrical services avoided the performance of early elective deliveries. The calculations illustrate a considerable savings.
September 14, 2016 – Jill A. Marsteller, PhD, MPP; J. Hunter Young, MD, MHS; Oludolapo A. Fakeye, MA; Yea-Jen Hsu, PhD, MHA; Maura McGuire, MD; Matthew G. Poffenroth, MD, MBA; and Scott A. Berkowitz, MD, MBA
The authors’ survey of providers in a new accountable care organization reports that initial perceptions of this care model are ambivalent and vary among participating practices.
September 14, 2016 – Lulu Liu, MA; Richard Svoboda, MA; and Yuting Zhang, PhD
The Medicare Shared Saving Program benchmark can be improved by following the example of Next Generation accountable care organizations, but with a larger adjustment level.
September 14, 2016 – Lisa M. Nicolaou, RN, MSNI
“Lean” methodology creates quality improvement and leadership capacity, which is currently missing in ambulatory care settings. Failure to create this capacity will minimize transformation efforts.
September 14, 2016 – Mary K. Caffrey
How does a state with almost no money launch Medicaid expansion? Louisiana health officials used data they already had, and in doing so, have created a model that could be used elsewhere.