Andrew Zullo, PharmD
@andrewzullo
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Pharmacist-researcher aiming to improve medication use through empirical evidence
Providence, RI
Joined November 2010
Global Incidence of Frailty and Prefrailty Among Community-Dwelling Older Adults
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RT @BrownUResearch: .@BrownUniversity @HealthyBrown study shows increasing staffing at long-term care facilities may reduce hospitalization….
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RT @AGSJournal: A third of older nursing home residents don't have statins or beta-blockers initiated after an acute MI. #geriatrics https:….
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Thanks to @evidencio_org for this online implementation of the FRAiL Tool for hip fracture risk in NH residents!
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Want to estimate the risk of hip fracture for your loved one in the nursing home? Try the new FRAiL tool:
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Metformin Warnings and Diabetes Drug Prescribing Patterns for Older Nursing Home Residents
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New paper! Association of β-Blockers With Functional Outcomes After Acute Myocardial Infarction
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RT @BrownCEbM: @BrownCEbM @AHRQ K12 Scholar @andrewzullo recently published on economic incentives to modify HIV-related behaviors in @jias….
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RT @BrownBiostats: Another feather in the collective cap! @andrewzullo @BrownCEbM @AHRQNews @jiasociety
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RT @jiasociety: Economic incentives are cost-effective in reducing HIV risk behaviours amg the vulnerable @andrewzullo #endpoverty. http://t….
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RT @NEJM: Four days of antibiotics produces similar outcomes to 8 days in patients w abdominal #sepsis. http://t.co/6cLa9X4Sk5.
nejm.org
The successful treatment of intraabdominal infection requires a combination of anatomical source control and antibiotics. The appropriate duration of antimicrobial therapy remains unclear. We rando...
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RT @BrownBiostats: This morning, #acic2015 continues with @BrownBiostats @jwhogan42 joining session on Bayesian Inference and Causal Effect….
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Bayesian approach is useful bc it quantifies the uncertainty about unmeasured confounding -L. McCandless #acic2015.
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Unmeasured confounding requires content area expertise bc the problem is inherently qualitative; a challenge! -L. McCandless #acic2015.
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Both PATE and SATE are important; if you don't care about bias, use SATE for surveys bc weights add uncertainty -L.M. #acic2015.
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Sample generalizes to population average tx effect (SATE to PATE) under independence and constant tx effect -L.M. #acic2015.
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