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Armstrong says USC's removal of questions from a required Title IX training module may reflect student-administration relations

Fomby finds living with step- or half-siblings linked to higher aggression among 5 year olds

Highlights

PRB training program in policy communication for pre-docs. Application deadline, 2.28.2016

Call for proposals: PSID small grants for research on life course impacts on later life wellbeing

PSC News, fall 2015 now available

Barbara Anderson appointed chair of Census Scientific Advisory Committee

Next Brown Bag

Monday, Feb 1 at noon, 6050 ISR-Thompson
Sarah Miller

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 12/31/2016

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