sunshine

from Terry Flynn PhD at http://bit.ly/1bjBFyy on April 30, 2015 at 10:01PM Am in Gran Canaria til 11th May. Today I educated a couple of guys about the Frenchman with the phone up his bottom, the guy who died whilst on the job with a rent boy and the guy who got a priapism after […]

In Defense of Epic. No, Really.

from The Health Care Blog at http://bit.ly/1EwczHe on April 30, 2015 at 08:45PM By Robert Wachter, MD Today THCB is delighted to feature an excerpt from Robert Wachter’s much-talked about new book “The Digital Doctor.” (McGraw Hill, 2015) . If you enjoy this piece, be sure have a look at the director’s cut interviews Wachter […]

Health care reform may not fix disparities as much as some think

from AcademyHealth Blog at http://bit.ly/1KxzLHk on April 30, 2015 at 05:00PM For decades, many in the United States have been uninsured. For decades, many socioeconomically disadvantaged and racial and ethnic minorities have suffered worse health outcomes because of disparities in US health care. Often, these two groups have significant overlap. It’s been thought, therefore, that […]

AcademyHealth: Health care reform may not fix disparities as much as some think

from The Incidental Economist at http://bit.ly/1GzhCF5 on April 30, 2015 at 05:08PM My latest at the AcademyHealth blog: For decades, many in the United States have been uninsured. For decades, many socioeconomically disadvantaged and racial and ethnic minorities have suffered worse health outcomes because of disparities in US health care. Often, these two groups have […]

Recent Research Summaries

from News at http://bit.ly/1OIc0Sw on April 30, 2015 at 09:00AM Optimization Modeling to Maximize Population Access to Comprehensive Stroke Centers Michael T. Mullen, Charles C. Branas, Scott E. Kasner, Catherine Wolff, Justin C. Williams, Karen C. Albright and Brendan G. Carr In Neurology, Michael Mullen, Charles Branas, Brendan Carr and colleagues share results of a […]

Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution

from Health Economics at http://bit.ly/1ETJ59E on April 30, 2015 at 08:18AM Understanding the data generating process behind healthcare costs remains a key empirical issue. Although much research to date has focused on the prediction of the conditional mean cost, this can potentially miss important features of the full distribution such as tail probabilities. We conduct […]

Interventions designed to improve therapeutic communications between black and minority ethnic people and professionals working in psychiatric services: a systematic review of the evidence for their effectiveness, Health Technology Assessment, Vol:19, Iss:31

from NIHR Journals Library – Last Published at http://bit.ly/1zeMVaE on April 30, 2015 at 01:01AM Authors: Bhui K, Aslam R, Palinski A, McCabe R, Johnson M, Weich S, Singh S, Knapp M, Ardino V, Szczepura A.

Assessing the methodological quality of network meta-analysis

from CEA Registry Team at http://bit.ly/1ESfGMS on April 29, 2015 at 09:53PM By James Chambers, Ph.D. Clinical researchers and health care decision makers are increasingly using network meta-analysis to synthesize comparative effectiveness evidence of competing treatments that have not been studied in head-to-head clinical trials.  In a new paper published in PLOS ONE, my colleagues […]

Congressional Briefing Exposed Significance of “Discovery to Delivery” Phases in Heart Disease Research

from AcademyHealth Blog at http://bit.ly/1dtaH9u on April 29, 2015 at 05:27PM Yesterday, AcademyHealth, Research!America, the American Heart Association, and WomenHeart: The National Coalition for Women with Heart Disease joined forces to co-host the congressional briefing “From Discovery to Delivery: Research at Work Against Heart Disease.” The event was standing room only, with approximately 80 attendees, […]

Balancing privacy, research, and care delivery

from The Incidental Economist at http://bit.ly/1JSncoP on April 29, 2015 at 12:00PM The following originally appeared on The Upshot (copyright 2015, The New York Times Company). Researchers who want to study Medicare or Medicaid patients with substance-use disorders — and illnesses disproportionately affecting them like H.I.V. and hepatitis C — are, at best, working with biased data. […]