Sachin Shah, MD, MPH

Title(s)Assistant Professor, Medicine
SchoolSchool of Medicine
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    Collapse Biography 
    Collapse Education and Training
    Massachusetts General Hospital2017General Medicine Fellow
    Massachusetts General Physicians Organization2017Administrative Fellow in Population Health
    Harvard TH Chan School of Public Health2017MPH
    Massachusetts General Hospital2015Chief Resident
    Massachusetts General Hospital2014Residency
    Massachusetts General Hospital2012Internship
    Yale University School of Medicine2011MD
    Brown University2005ScB
    Collapse Awards and Honors
    American Heart Association Council on Quality and Outcomes Research2017Young Investigator Award
    Yale University2011Ferris Prize for Outstanding Thesis

    Collapse Overview 
    Collapse Overview
    I am a general internist who specializes in health outcomes and population health research with the goal of improving the health of older, vulnerable adults. Specifically, my research interests include:

    1. Measuring axes of vulnerability (physical, cognitive, social) to determine how vulnerability affects health outcomes
    2. Improving complex clinical decision making for older adults (atrial fibrillation as a model condition)
    3. Implementing research insights into care delivery to improve population health

    Following clinical training and chief residency, I completed a General Medicine research fellowship and a Population Health fellowship within an ACO. During these fellowships, I developed an interest in improving the health of older, vulnerable adults. For example, colleagues and I described how poorly-connected primary care patients perform poorly on measures of population health (e.g., cancer screening, blood pressure control). Subsequently, I worked with the Partners ACO to automate the identification of poorly-connected primary care patients. Using this automated platform, I then lead a randomized controlled trial of a targeted intervention to improve their adherence using behavioral economics-based patient navigation.

    I am working to identify social determinants of health unique to older adults using novel computation and causal inference methods to create an index measure of at-risk older adults. The goal is to identify an at-risk population, implement data collection at scale, and target care management resources -- all in an effort to prevent decrements in health.

    Through my clinical work, I became interested in complex, shared decision making. Using atrial fibrillation as a model condition, I study how we integrate complex and, at times, conflicting data so patient and physicians can make personalized health decisions.

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Oseran AS, Lage DE, Jernigan MC, Metlay JP, Shah SJ .A "Hospital-Day-1" Model to Predict the Risk of Discharge to a Skilled Nursing Facility. JAMDA. 2019; (in press).
    2. Shah SJ, Schwamm LH, Cohen AB, Simoni MR, Estrada J, Matiello M, Venkataramani A, Rao SK. Virtual Visits Partially Replaced In-Person Visits In An ACO-Based Medical Specialty Practice. Health Aff (Millwood). 2018 12; 37(12):2045-2051. PMID: 30633681.
      View in: PubMed
    3. Shah SJ, Eckman MH, Aspberg S, Go AS, Singer DE. Effect of Variation in Published Stroke Rates on the Net Clinical Benefit of Anticoagulation for Atrial Fibrillation. Ann Intern Med. 2018 Oct 16; 169(8):517-527. PMID: 30264130.
      View in: PubMed
    4. Lage DE, Jernigan MC, Chang Y, Grabowski DC, Hsu J, Metlay JP, Shah SJ. Living Alone and Discharge to Skilled Nursing Facility Care after Hospitalization in Older Adults. J Am Geriatr Soc. 2018 Jan; 66(1):100-105. PMID: 29072783.
      View in: PubMed
    5. Venkataramani AS, Shah SJ, O'Brien R, Kawachi I, Tsai AC. Health consequences of the US Deferred Action for Childhood Arrivals (DACA) immigration programme: a quasi-experimental study. Lancet Public Health. 2017 04; 2(4):e175-e181. PMID: 29253449.
      View in: PubMed
    6. Shah SJ, Cronin P, Hong CS, Hwang AS, Ashburner JM, Bearnot BI, Richardson CA, Fosburgh BW, Kimball AB. Targeted Reminder Phone Calls to Patients at High Risk of No-Show for Primary Care Appointment: A Randomized Trial. J Gen Intern Med. 2016 12; 31(12):1460-1466. PMID: 27503436.
      View in: PubMed
    7. Hwang AS, Atlas SJ, Cronin P, Ashburner JM, Shah SJ, He W, Hong CS. Appointment "no-shows" are an independent predictor of subsequent quality of care and resource utilization outcomes. J Gen Intern Med. 2015 Oct; 30(10):1426-33. PMID: 25776581; PMCID: PMC4579240 [Available on 10/01/16].
    8. Ben-Josef G, Ott LS, Spivack SB, Wang C, Ross JS, Shah SJ, Curtis JP, Kim N, Krumholz HM, Bernheim SM. Payments for acute myocardial infarction episodes-of-care initiated at hospitals with and without interventional capabilities. Circ Cardiovasc Qual Outcomes. 2014 Nov; 7(6):882-8. PMID: 25387777.
      View in: PubMed
    9. Shah SJ, Krumholz HM, Reid KJ, Rathore SS, Mandawat A, Spertus JA, Ross JS. Financial stress and outcomes after acute myocardial infarction. PLoS One. 2012; 7(10):e47420. PMID: 23112814; PMCID: PMC3480393.
    10. Kulkarni VT, Shah SJ, Bernheim SM, Wang Y, Normand SL, Han LF, Rapp MT, Drye EE, Krumholz HM. Regional associations between Medicare Advantage penetration and administrative claims-based measures of hospital outcomes. Med Care. 2012 May; 50(5):406-9. PMID: 22456113.
      View in: PubMed