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Naomi S. Bardach on Muck Rack

Naomi S. Bardach

As seen in: The New York Times, BMJ Quality & Safety, MDPI, San Francisco Chronicle, Pediatrics, Annals of Internal Medicine, RAND Corporation, Academic Pediatrics, Westside Story Newspaper
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Articles

Development and Testing of an Emergency Department Quality Measure for Pediatric Suicidal Ideation and Self-Harm

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By Anagha Alka, Layla Parast, Q. Burkhart, Naomi S. Bardach
| RAND Corporation
Publisher: Science Direct Availability: Non-RAND Year: 2022 Pages: 8 Document Number: EP-70911 This publication is part of the RAND external publication series. Many RAND studies are published in peer-reviewed scholarly journals, as chapters in commercial books, or as documents published by other organizations. RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis.
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Association between language discordance and unplanned hospital readmissions or emergency department revisits: a systematic review and meta-analysis

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By Janet Chu, Jeanette Wong, Naomi S. Bardach, Isabel Elaine Allen
| BMJ Quality & Safety Verified
Discussion In this review that explored the role of language discordance on hospital readmissions and unplanned ED revisits, although results from individual studies were mixed, our meta-analysis demonstrated higher odds of 28-day or 30-day hospital readmission among adults with a non-dominant language preference.
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Making lemonade out of lemons: an approach to combining variable race and ethnicity data from hospitals for quality and safety efforts

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By Kayla L. Karvonen, Naomi S. Bardach
| BMJ Quality & Safety Verified
Implications for quality and safety efforts The issues of REaL data collection and use are particularly relevant to quality measurement and performance assessment. One purpose of equity performance assessment would be to identify health systems without health inequities or systems which successfully address health inequities, to identify lessons learnt and potential best practices. Lyren and colleagues were not able to assess hospital-level performance due to small sample sizes.
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