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Surprising findings on what influences unintended pregnancy from Wise, Geronimus and Smock

Recommendations on how to reduce discrimination resulting from ban-the-box policies cite Starr's work

Brian Jacob on NAEP scores: "Michigan is the only state in the country where proficiency rates have actually declined over time."

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, March 13, 2017, noon:
Rachel Best

Improving Patient Decisions About Bariatric Surgery

a PSC Research Project

Investigators:   Amir Abbas Ghaferi, Edward Norton, Sarah T. Hawley, Lisa Prosser, Angela Tsai Fagerlin, Mousumi Banerjee, Lawrence C. An

Background: At least 15 million Americans are morbidly obese, or more than 100 pounds overweight.
Bariatric surgery is the only treatment that provides significant and lasting weight loss for most patients in this group. However, there are four different types of bariatric surgery and the risks and benefits of these options vary widely and are strongly affected by patient and clinical characteristics. Decision making under these circumstances should reflect informed patient?s values and preferences regarding these trade-offs. Instead, the choice of bariatric procedure is more often driven more by the beliefs and experiences of the bariatric surgeon that a patient happens to see.
Objectives: The goals of this research proposal are to develop, implement, and evaluate an informed decision support tool for treatment of morbid obesity. This decision support tool will provide patients with an independent assessment of the risks and benefits of the treatment options, not to replace physician?s clinical judgments but rather to augment or guide communication between the patient and physician to promote shared medical decision making.
Methods: We will develop a web-based interactive decision support tool to incorporate tailored information regarding risks and benefits of the treatment options (from regression-based prediction models derived on the 40,000 bariatric surgery patients from a clinical registry) with information regarding other salient attributes of the treatment options (from semi-structured interviews with stakeholders including bariatric surgery patients, bariatric program staff, and surgeons). We will then perform a quasi-experimental study comparing the decision support tool with usual care at 38 hospitals in Michigan to determine its effects on patient decisions (treatment choice, knowledge, treatment preference concordance, and decisional conflict) and on patient outcomes including weight loss, patient satisfaction, and improvements in quality of life after surgery.

Funding Period: 01/01/2014 to 06/30/2018

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