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Health IT and Ambulatory Care Quality

Author

Listed:
  • Carole Roan Gresenz
  • Scott P. Laughery
  • Amalia Miller
  • Catherine E Tucker

Abstract

US government investments in health information technology (IT) have focused on giving incentives for digital health records in hospital settings and by individual physicians. We evaluate the omission of ambulatory care centers, by studying the effects of healthcare IT on ambulatory care quality, which we measure using the rate of hospital admissions for conditions identified as sensitive to ambulatory care quality, using data from Medicare and the Nationwide Inpatient Sample. Results from difference-indifferences models that control for location and time fixed effects, as well as observable factors related to healthcare quality and population demographics, indicate that increased ambulatory IT adoption lowers local area ambulatory care sensitive (ACS) hospitalizations, suggesting quality improvements. The magnitudes imply that a 45% increase in ambulatory IT adoption in a county (the average increase over our sample period 2003-2012) lowers the ACS admission rate in that county by about 1.6%.

Suggested Citation

  • Carole Roan Gresenz & Scott P. Laughery & Amalia Miller & Catherine E Tucker, 2015. "Health IT and Ambulatory Care Quality," Working Papers WR-1131, RAND Corporation.
    • Handle: RePEc:ran:wpaper:wr-1131
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    References listed on IDEAS

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    1. Amalia R. Miller & Catherine Tucker, 2009. "Privacy Protection and Technology Diffusion: The Case of Electronic Medical Records," Management Science, INFORMS, vol. 55(7), pages 1077-1093, July.
    2. Agha, Leila, 2014. "The effects of health information technology on the costs and quality of medical care," Journal of Health Economics, Elsevier, vol. 34(C), pages 19-30.
    3. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2013. "Health Information Technology and Patient Outcomes: The Role of Organizational and Informational Complementarities," NBER Working Papers 18684, National Bureau of Economic Research, Inc.
    4. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    5. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    6. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    7. Seth Freedman & Haizhen Lin & Jeffrey T. Prince, 2014. "Information Technology and Patient Health: An Expanded Analysis of Outcomes, Populations, and Mechanisms," Working Papers 2014-02, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    8. Amalia R. Miller & Catherine E. Tucker, 2011. "Can Health Care Information Technology Save Babies?," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 289-324.
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