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The complementarity of drug monitoring programs and health IT for reducing opioid‐related mortality and morbidity

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  • Lucy Xiaolu Wang

Abstract

In response to the opioid crisis, each US state has implemented a prescription drug monitoring program (PDMP) to collect data on controlled substances prescribed and dispensed in the state. I study whether health information technology (HIT) complements patient prescription data in PDMPs to reduce opioid‐related mortality and morbidity. A novel dataset is constructed that records state policies that integrate PDMP with HIT and facilitate interstate data sharing. Using difference‐in‐differences models, I find that PDMP‐HIT integration policies reduce opioid‐related inpatient morbidity. The reductions are substantial in states that established integration without ever mandating the use of a PDMP. A mechanism test suggests that PDMP integration works mainly through the hospital system while a mandate affects legal opioids prescription. The impacts from integration are strongest for the vulnerable groups—middle‐aged, low‐to middle‐income patients, and those with public insurance. There is suggestive evidence that interstate data sharing further complements integration despite not having a significant impact independently. The results are robust to a set of tests using alternative specifications and measures. The total benefits from integration far exceed the associated costs.

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  • Lucy Xiaolu Wang, 2021. "The complementarity of drug monitoring programs and health IT for reducing opioid‐related mortality and morbidity," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2026-2046, September.
  • Handle: RePEc:wly:hlthec:v:30:y:2021:i:9:p:2026-2046
    DOI: 10.1002/hec.4360
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    1. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    2. Anne Case & Angus Deaton, 2017. "Mortality and Morbidity in the 21st Century," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 397-476.
    3. David Dranove & Chris Forman & Avi Goldfarb & Shane Greenstein, 2014. "The Trillion Dollar Conundrum: Complementarities and Health Information Technology," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 239-270, November.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    6. 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.
    7. William N. Evans & Ethan M. J. Lieber & Patrick Power, 2019. "How the Reformulation of OxyContin Ignited the Heroin Epidemic," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 1-15, March.
    8. 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.
    9. Hollingsworth, Alex & Ruhm, Christopher J. & Simon, Kosali, 2017. "Macroeconomic conditions and opioid abuse," Journal of Health Economics, Elsevier, vol. 56(C), pages 222-233.
    10. Powell, David & Pacula, Rosalie Liccardo & Jacobson, Mireille, 2018. "Do medical marijuana laws reduce addictions and deaths related to pain killers?," Journal of Health Economics, Elsevier, vol. 58(C), pages 29-42.
    11. Thomas C. Buchmueller & Colleen Carey, 2018. "The Effect of Prescription Drug Monitoring Programs on Opioid Utilization in Medicare," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 77-112, February.
    12. Jill Horwitz & Corey S. Davis & Lynn S. McClelland & Rebecca S. Fordon & Ellen Meara, 2018. "The Problem of Data Quality in Analyses of Opioid Regulation: The Case of Prescription Drug Monitoring Programs," NBER Working Papers 24947, National Bureau of Economic Research, Inc.
    13. Abby Alpert & David Powell & Rosalie Liccardo Pacula, 2018. "Supply-Side Drug Policy in the Presence of Substitutes: Evidence from the Introduction of Abuse-Deterrent Opioids," American Economic Journal: Economic Policy, American Economic Association, vol. 10(4), pages 1-35, November.
    14. Jeffrey S. McCullough & Stephen T. Parente & Robert Town, 2016. "Health information technology and patient outcomes: the role of information and labor coordination," RAND Journal of Economics, RAND Corporation, vol. 47(1), pages 207-236, February.
    15. Anca M. Grecu & Dhaval M. Dave & Henry Saffer, 2019. "Mandatory Access Prescription Drug Monitoring Programs and Prescription Drug Abuse," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(1), pages 181-209, January.
    16. Anne Case & Angua Deaton, 2015. "Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century," Working Papers 15078.full.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    17. Daniel I. Rees & Joseph J. Sabia & Laura M. Argys & Joshua Latshaw & Dhaval Dave, 2017. "With a Little Help from My Friends: The Effects of Naloxone Access and Good Samaritan Laws on Opioid-Related Deaths," NBER Working Papers 23171, National Bureau of Economic Research, Inc.
    18. Ryan M. McKenna & Debra Dwyer & John A. Rizzo, 2018. "Is HIT a hit? The impact of health information technology on inpatient hospital outcomes," Applied Economics, Taylor & Francis Journals, vol. 50(27), pages 3016-3028, June.
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