Health Economics and Outcomes Research Analyst

JANVI SAH

+1-224-***-**** acz40f@r.postjobfree.com www.linkedin.com/in/janvisah

Summary:

An independent researcher with experience in managing multiple healthcare related projects individually and as a team. Expertise in working large databases, insurance claims, pharmacoeconomic modeling, systematic reviews leading to 5 academic projects.

Education

Masters of Science in Health Economics and Outcomes Research August 2015–May 2017

University of Toledo, OH, USA

Major Coursework: Pharmacoeconomics, Biostatistics, Categorical Data Analysis, Epidemiology

Bachelor of Pharmacy August 2011- May 2015

Bombay College of Pharmacy, India

Work Experience

Graduate Research Assistant, University of Toledo August 2015 – May 2017

Optimized the therapy for Diabetes Mellitus by conducting cost-effectiveness analysis of Dipeptidyl Peptidase -4 Inhibitors compared to Thiazolidinedione using MEPS database

Consolidated the literature on barriers associated with type 2 diabetes using PubMed, Cochrane, EBSCO, Embase, and Medline leading to 1 systematic review poster

Independently analyzed insurance claims database to find the impact of Medication Therapy Management which resulted in 5% decrease in cost sharing for third party payers

Led a team of 6 members to analyze clinical and humanistic data to study the impact of pharmacists and packaging on medication non-adherence which resulted in improved quality of life for 20% of the patients

Collaborated with physicians, nurse practitioners and pharmacists to validate and design 3 surveys that is used to predict medication counseling behavior among healthcare providers

Graduate Teaching Assistant, University of Toledo August 2015 – May 2017

Mentored 5 graduate students on statistical software SAS and R and conducting systematic reviews

Critically reviewed 2 manuscripts submitted to peer-reviewed journal

Liaised with 5 faculties in grading MTM sessions for 100 Pharm.D students and rendered blackboard support

Master’s Thesis

Independently analyzed a regression model in SAS 9.3 to find categorical predictors of Days’ supply of prescription drugs using Medical Expenditure Panel Survey (MEPS) database and ICD-9/10 codes

Technical Skills

Analytical Software: SAS, R, SPSS, TreeAge, Decision Tree and Markov

Soft Skills: MS Excel, MS Word, MS PowerPoint

Manuscript

Sah J, Vaidya V, Khuder S, Cappelletty D. “Factors and Outcomes associated with 90-day of prescription drugs”. (in progress)

Internship

Pharmacy Intern, Royal Pharmaceuticals, India May 2014-July 2014

Analyzed and interpreted client reports to better understand their healthcare and implementing interventions to improve their overall health outcomes

Poster Presentation

Salkar M, Sah J, Pinto S, Vaidya V ‘Patient Related Barriers to Medication Adherence in Type 2 Diabetic Patients: A Systematic Review’, International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 21st Annual, May 2016, Washington DC

Sah J, Thakur TM, et al. Policy Evaluation of anti-hypertensive drugs in Mumbai, India, ISPOR 6th Asia-Pacific ISPOR Conference, September 2014, Beijing, China

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