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January 5, 2022 To Measure and Reduce Diagnostic Error, Start With the Data You Have

This article, published by the Michigan State Medical Society, provides insight into how CRICO's diagnostic process of care framework, using medical malpractice claims data, can be used to reduce diagnostic errors.

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Using Candello data, this study examines the characteristics of malpractice claims which miscommunications.

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Outcomes From an Orientation Model to Reduce Attrition in Paediatric Weight Management

  • August 1, 2016

Researchers, supported by CRICO funds, undertook a multifaceted quality improvement (QI) project in 2012 to address a pediatric weight management program’s high attrition concern at Boston Children's Hospital (BCH).


This study consisted of a program orientation to address families’ expectations about program participation, as well as screening and support for significant psychosocial stressors and behavioral and mental health problems that might pose barriers to successful initial participation. This report describes the impact of this multifaceted QI project in a large and diverse referral program for overweight and obesity in children and adolescents. Ian Zenlea, MD, a 2012–2014 fellow of the CRICO supported HMS Fellowship in Patient Safety and Quality,  conceptualized and designed the quality improvement project, designed the data collection instruments, was responsible for oversight of data collection, and contributed to the analytic design and drafted the initial article on the study.

 

Citation for the Report

Zenlea, I. S., Milliren, C., Herel, S., Thomaseo Burton, E., Askins, N., Ludwig, D. S. and Rhodes, E. T. (2016), Outcomes from an orientation model to reduce attrition in paediatric weight management. Clin Obes. doi:10.1111/cob.12156