1. Home
  2. People
  3. Faculty
  4. Prachi Sanghavi

Prachi Sanghavi

Assistant Professor
psanghavi@uchicago.edu
Research Summary
Prachi Sanghavi is a health policy researcher who uses empirical methods to study comparative effectiveness of health care services, quality of care measurement, and population health. Her current projects include assessment of: (1) the effect of ambulance type, transport distance, and hospital quality on outcomes after out-of-hospital medical emergencies, (2) nursing home-reported data for patient safety and quality of care measurement, (3) the association between physician provision of low-value care and their patients' reported experiences, and (4) the health effects of hydraulic fracturing for natural oil and gas.
Keywords
Pre-hospital care, Trauma, Fracking, Long term care, Healthcare quality measurement, Burn injuries, Low-value services, Medicare, Medicaid
Education
  • Harvard University, Cambridge, MA, PhD Health Policy (Evaluative Science and Statistics) 05/2015
  • Cornell University, Ithaca, NY, BS Electrical and Computer Engineering 05/2004
Biosciences Graduate Program Association
Awards & Honors
  • 2009 - Graduate Student Fellowship Harvard University
  • 2010 - Graduate Research Fellowship National Science Foundation
  • 2013 - Disseration Completion Fellowship Harvard University
  • 2013 - Dissertation Award (R36) Agency for Healthcare Research and Quality
  • 2015 - Harvard Horizons Scholar Harvard University
Publications

  1. Hospitalisations for cardiovascular and respiratory disease among older adults living near unconventional natural gas development: a difference-in-differences analysis. Lancet Planet Health. 2023 03; 7(3):e187-e196. View in: PubMed

  2. Comparison of survival outcomes among older adults with major trauma after trauma center versus non-trauma center care in the United States. Health Serv Res. 2023 Feb 24. View in: PubMed

  3. Accuracy of Pressure Ulcer Events in US Nursing Home Ratings. Med Care. 2022 10 01; 60(10):775-783. View in: PubMed

  4. A national assessment of legacy versus new generation Medicaid data. Health Serv Res. 2022 08; 57(4):944-956. View in: PubMed

  5. Association of Low-Value Care Exposure With Health Care Experience Ratings Among Patient Panels. JAMA Intern Med. 2021 07 01; 181(7):941-948. View in: PubMed

  6. Identifying outlier patterns of inconsistent ambulance billing in Medicare. Health Serv Res. 2021 04; 56(2):188-192. View in: PubMed

  7. Outcomes of Medicaid home- and community-based long-term services relative to nursing home care among dual eligibles. Health Serv Res. 2020 12; 55(6):973-982. View in: PubMed

  8. Public reporting of hydraulic fracturing chemicals in the USA, 2011-18: a before and after comparison of reporting formats. Lancet Planet Health. 2020 05; 4(5):e178-e185. View in: PubMed

  9. Fire-related deaths among women in India are underestimated. Lancet. 2020 03 07; 395(10226):779-780. View in: PubMed

  10. Assessment of nursing home reporting of major injury falls for quality measurement on nursing home compare. Health Serv Res. 2020 04; 55(2):201-210. View in: PubMed

  11. A National Examination Of Long-Term Care Setting, Outcomes, And Disparities Among Elderly Dual Eligibles. Health Aff (Millwood). 2019 07; 38(7):1110-1118. View in: PubMed

  12. Is Prehospital Advanced Life Support Harmful? Ann Intern Med. 2016 07 05; 165(1):70-1. View in: PubMed

  13. Outcomes of Basic Versus Advanced Life Support for Out-of-Hospital Medical Emergencies. Ann Intern Med. 2016 07 05; 165(1):69-70. View in: PubMed

  14. Outcomes of Basic Versus Advanced Life Support for Out-of-Hospital Medical Emergencies. Ann Intern Med. 2015 Nov 03; 163(9):681-90. View in: PubMed

  15. Basic vs Advanced Life Support for Out-of-Hospital Cardiac Arrest--Reply. JAMA Intern Med. 2015 Aug; 175(8):1423. View in: PubMed

  16. Outcomes after out-of-hospital cardiac arrest treated by basic vs advanced life support. JAMA Intern Med. 2015 Feb; 175(2):196-204. View in: PubMed

  17. Using culpability analysis to infer crash risk requires unrealistic assumptions: author's response to: culpability analysis is still a valuable technique. Int J Epidemiol. 2014 Feb; 43(1):272-3. View in: PubMed

  18. Commentary: culpability analysis won't help us understand crash risk due to cell phones. Int J Epidemiol. 2013 Feb; 42(1):267-9. View in: PubMed

  19. Fire-related deaths in India in 2001: a retrospective analysis of data. Lancet. 2009 Apr 11; 373(9671):1282-8. View in: PubMed
© 2023 The University of Chicago | All Rights Reserved.
Facebook Instagram Twitter Youtube