View Item 

Show simple item record

How well do doctors know their patients? Evidence from a mandatory access prescription drug monitoring program
dc.contributor.authorBuchmueller, Thomas C.
dc.contributor.authorCarey, Colleen M.
dc.contributor.authorMeille, Giacomo
dc.date.accessioned2020-09-02T15:02:05Z
dc.date.availableWITHHELD_13_MONTHS
dc.date.available2020-09-02T15:02:05Z
dc.date.issued2020-09
dc.identifier.citationBuchmueller, Thomas C.; Carey, Colleen M.; Meille, Giacomo (2020). "How well do doctors know their patients? Evidence from a mandatory access prescription drug monitoring program." Health Economics 29(9): 957-974.
dc.identifier.issn1057-9230
dc.identifier.issn1099-1050
dc.identifier.urihttps://hdl.handle.net/2027.42/156491
dc.description.abstractMany opioid control policies target the prescribing behavior of health care providers. In this paper, we study the first comprehensive state‐level policy requiring providers to access patients’ opioid history before making prescribing decisions. We compare prescribers in Kentucky, which implemented this policy in 2012, to those in a control state, Indiana. Our main difference‐in‐differences analysis uses the universe of prescriptions filled in the two states to assess how the information provided affected prescribing behavior. We find that a significant share of low‐volume providers stopped prescribing opioids altogether after the policy was implemented, though this change accounted for a small share of the reduction in total volume. The most important margin of response was to prescribe opioids to fewer patients. Although providers disproportionately discontinued treating patients whose opioid histories showed the use of multiple providers, there were also economically meaningful reductions for patients without multiple providers and single‐use acute patients.
dc.publisherStata Press
dc.publisherWiley Periodicals, Inc.
dc.subject.otherphysician behavior
dc.subject.otherprescription drug monitoring programs
dc.subject.otheropioid prescribing
dc.titleHow well do doctors know their patients? Evidence from a mandatory access prescription drug monitoring program
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPublic Health
dc.subject.hlbsecondlevelEconomics
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbtoplevelBusiness and Economics
dc.subject.hlbtoplevelHealth Sciences
dc.subject.hlbtoplevelScience
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/156491/3/hec4020_am.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/156491/2/hec4020.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/156491/1/hec4020-sup-0001-Supplementaary_data.pdfen_US
dc.identifier.doi10.1002/hec.4020
dc.identifier.sourceHealth Economics
dc.identifier.citedreferencePalliative.org ( 2016 ). Instructions for morphine equivalent daily dose (MEDD). http://palliative.org/NewPC/_pdfs/tools/INSTRUCTIONsMEDD.pdf. Accessed: February 2, 2016.
dc.identifier.citedreferenceWen, H., Schackman, B. R., Aden, B., & Bao, Y. ( 2017 ). States with prescription drug monitoring mandates saw a reduction in opioids prescribed to Medicaid enrollees. Health Affairs, 36 ( 4 ), 733 – 741. https://www.healthaffairs.org/doi/abs/10.1377/hlthaff.2016.1141
dc.identifier.citedreferenceMeinhofer, A. ( 2018 ). Prescription drug monitoring programs: The role of asymmetric information on drug availability and abuse. American Journal of Health Economics, 4 ( 4 ), 504 – 526.
dc.identifier.citedreferenceOhio Bureau of Workers’ Compensation ( 2016 ). Med table. https://www.bwc.ohio.gov/downloads/blankpdf/MEDTable.pdf. Accessed: February 2, 2016.
dc.identifier.citedreferencePaulozzi, L. J., Kilbourne, E. M., & Desai, H. A. ( 2011 ). Prescription drug monitoring programs and death rates from drug overdose. Pain Medicine, 12 ( 5 ), 747 – 754.
dc.identifier.citedreferenceWen, H., Hockenberry, J. M., Jeng, P. J., & Bao, Y. ( 2019 ). Prescription drug monitoring program mandates: impact on opioid prescribing and related hospital use. Health Affairs, 38 ( 9 ), 1550 – 1556.
dc.identifier.citedreferenceThiels, C. A., Anderson, S. S., Ubl, D. S., Hanson, K. T., Bergquist, W. J., Gray, R. J., … Habermann, E. B. ( 2017 ). Wide variation and overprescription of opioids after elective surgery. Annals of surgery, 266 ( 4 ), 564 – 573.
dc.identifier.citedreferenceStrickler, G. K., Zhang, K., Halpin, J. F., Bohnert, A. S. B., Baldwin, G. T., & Kreiner, P. W. ( 2019 ). Effects of mandatory prescription drug monitoring program (PDMP) use laws on prescriber registration and use and on risky prescribing. Drug and Alcohol Dependence, 199, 1 – 9.
dc.identifier.citedreferenceSmith, J. C., & Medalia, C. ( 2015 ). Health Insurance Coverage in the United States: 2014: US Department of Commerce, Economics and Statistics Administration, Bureau of the Census Washington, DC.
dc.identifier.citedreferenceShatterproof ( 2016 ). Prescription drug monitoring programs: Critical elements of effective state legislation. New York, NY: Shatterproof.
dc.identifier.citedreferenceSchnell, M., & Currie, J. ( 2018 ). Addressing the opioid epidemic: Is there a role for physician education?. American Journal of Health Economics, 4 ( 3 ), 388 – 410.
dc.identifier.citedreferenceSacarny, A., Yokum, D., Finkelstein, A., & Agrawal, S. ( 2016 ). Medicare letters to curb overprescribing of controlled substances had no detectable effect on providers. Health Affairs, 35 ( 3 ), 471 – 479. http://content.healthaffairs.org/content/35/3/471.abstract
dc.identifier.citedreferenceSacarny, A., Barnett, M. L., Le, J., Tetkoski, F., Yokum, D., & Agrawal, S. ( 2018 ). Effect of peer comparison letters for high‐volume primary care prescribers of quetiapine in older and disabled adults: A randomized clinical trial. JAMA Psychiatry, 75 ( 10 ), 1003 – 1011.
dc.identifier.citedreferenceRutkow, L., Chang, H., Daubresse, M., D, W., Stuart, E. A., & Alexander, G. ( 2015 ). Effect of Florida’s prescription drug monitoring program and pill mill laws on opioid prescribing and use. JAMA Internal Medicine, 175 ( 10 ), 1642 – 1649.
dc.identifier.citedreferenceRudd, R. A., Aleshire, N., Zibbell, J. E., & Matthew Gladden, R. ( 2016 ). Increases in drug and opioid overdose deaths: United States, 2000–2014. American Journal of Transplantation, 16 ( 4 ), 1323 – 1327.
dc.identifier.citedreferencePaulozzi, L. J., Mack, K. A., & Hockenberry, J. M. ( 2014 ). Variation among states in prescribing of opioid pain relievers and benzodiazepines United States, 2012. Journal of Safety Research, 51, 125 – 129.
dc.identifier.citedreferenceAllain, M. ( 2012 ). INSPECT PDMP 2.0. https://www.deadiversion.usdoj.gov/mtgs/pharm_awareness/conf_2012/december_2012/allain.pdf
dc.identifier.citedreferenceAlpert, A., Powell, D., & Pacula R. L. ( 2018 ). Supply‐Side Drug Policy in the Presence of Substitutes: Evidence from the Introduction of Abuse‐Deterrent Opioids. American Economic Journal: Economic Policy, 10, ( 4 ), 1 – 35. https://doi.org/10.1257/pol.20170082
dc.identifier.citedreferenceBao, Y., Wen, K., Johnson, P., Jeng, P. J., Meisel, Z. F., & Schackman, B. R. ( 2018 ). Assessing the impact of state policies for prescription drug monitoring programs on high‐risk opioid prescriptions. Health Affairs, 37 ( 10 ), 1596 – 1604.
dc.identifier.citedreferenceBelotti, F., Deb, P., Manning, W., & Norton, E. ( 2015 ). Twopm: Two‐part models. The Stata Journal, 15 ( 1 ), 3 – 20.
dc.identifier.citedreferenceBertrand, M., Duflo, E., & Mullainathan, S. ( 2004 ). How much should we trust differences‐in‐differences estimates?. The Quarterly Journal of Economics, 119 ( 1 ).
dc.identifier.citedreferenceBrady, J. E., Wunsch, H., DiMaggio, C. J., Lang, B. H., Giglio, J., & Li, G. ( 2014 ). Prescription drug monitoring and dispensing of prescription opioids. Public Health Reports, 129.
dc.identifier.citedreferenceBuchmueller, T. C., & Carey, C. ( 2018 ). The effect of prescription drug monitoring programs on opioid utilization in Medicare. American Economic Journal: Economic Policy, 10 ( 1 ), 77 – 112. http://www.aeaweb.org/articles?id=10.1257/pol.20160094
dc.identifier.citedreferenceCMS ( 2015 ). Opioid morphine equivalent conversion factors. https://www.cms.gov/Medicare/Prescription‐Drug‐Coverage/PrescriptionDrugCovContra/Downloads/Opioid‐Morphine‐EQ‐Conversion‐Factors‐March‐2015.pdf. Accessed: February 2, 2016.
dc.identifier.citedreferenceCarey, C. M., Jena, A. B., & Barnett, M. L. ( 2018 ). Patterns of potential opioid misuse and subsequent adverse outcomes in Medicare, 2008 to 2012. Annals of Internal Medicine, 168 ( 12 ), 837 – 845. http://doi.org/10.7326/M17-3065
dc.identifier.citedreferenceCenter for Workforce Studies ( 2013 ). 2013 State physician workforce data book. available at https://members.aamc.org/eweb/upload/State%20Physician%20Workforce%20Da%ta%20Book%202013%20(PDF).pdf, accessed Sep 11 2018.
dc.identifier.citedreferenceCepeda, M. S., Fife, D., Chow, W., Mastrogiovanni, G., & Henderson, S. C. ( 2013 ). Opioid shopping behavior: How often, how soon, which drugs, and what payment method. The Journal of Clinical Pharmacology, 53 ( 1 ), 112 – 117.
dc.identifier.citedreferenceChen, L. H., Hedegaard, H., & Warner, M. ( 2014 ). Drug‐poisoning deaths involving opioid analgesics: United States, 1999–2011. NCHS data brief, 166, 1 – 8.
dc.identifier.citedreferenceDart, R. C., Surratt, H. L., Cicero, T. J., Parrino, M. W., Severtson, G., Bucher‐Bartelson, B., & Green, J. L. ( 2015 ). Trends in opioid analgesic abuse and mortality in the United States. New England Journal of Medicine, 372 ( 3 ).
dc.identifier.citedreferenceDasgupta, N., Funk, M. J., Proescholdbell, S., Hirsch, A., Ribisl, K. M., & Marshall, S. ( 2016 ). Cohort study of the impact of high‐dose opioid analgesics on overdose mortality. Pain Medicine, 17 ( 1 ), 85 – 98. http://doi.org/10.1111/pme.12907
dc.identifier.citedreferenceDeb, P., Norton, E. G., & Manning, W. G. ( 2017 ). Health Econometrics using Stata: Stata Press.
dc.identifier.citedreferenceDoctor, J. N., Nguyen, A., Lev, R., Lucas, J., Knight, T., Zhao, H., & Menchine, M. ( 2018 ). Opioid prescribing decreases after learning of a patient’s fatal overdose. Science, 361 ( 6402 ), 588 – 590.
dc.identifier.citedreferenceDonald, S. G., & Lang, K. ( 2007 ). Inference with difference‐in‐differences and other panel data. The Review of Economics and Statistics, 89 ( 2 ), 221 – 233.
dc.identifier.citedreferenceDowell, D., Zhang, K., Noonan, R. K., & Hockenberry, J. M. ( 2016 ). Mandatory provider review and pain clinic laws reduce the amounts of opioids prescribed and overdose death rates. Health Affairs, 35 ( 10 ), 1876 – 1883.
dc.identifier.citedreferenceEvans, W. N., Lieber, E., & Power, P. ( 2019 ). How the reformulation of Oxycontin ignited the heroin epidemic. The Review of Economics and Statistics, CI ( 1 ).
dc.identifier.citedreferenceFreeman, P., Goodin, A., Troske, S., & Talbert, J. ( 2015 ). Kentucky house bill 1 impact evaluation. Lexington, KY: University of Kentucky Department of Pharmacy Practice and Science.
dc.identifier.citedreferenceGAO ( 2011 ). Instances of questionable access to prescription drugs. Washington, DC: Government Accountability Office GAO‐11‐699.
dc.identifier.citedreferenceGrecu, A. M., Dave, D. M., & Saffer, H. ( 2019 ). Mandatory access prescription drug monitoring programs and prescription drug abuse. Journal of Policy Analysis and Management, 38 ( 1 ), 181 – 209.
dc.identifier.citedreferenceHaffajee, R. L., Jena, A. B., & Weiner, S. G. ( 2015 ). Mandatory use of prescription drug monitoring programs. JAMA, 313 ( 9 ), 891 – 892.
dc.identifier.citedreferenceHaffajee, R. L., Mello, M. M., Zhang, F., Zaslavsky, A. M., Larochelle, M. R., & Wharam, J. F. ( 2018 ). Four states with robust prescription drug monitoring programs reduced opioid dosages. Health Affairs, 37 ( 6 ), 964 – 974.
dc.identifier.citedreferenceHan, B., Compton, W. M., Blanco, C., Crane, E., Lee, J., & Jones, C. M. ( 2017 ). Prescription opioid use, misuse, and use disorders in US adults: 2015 National Survey on Drug Use and Health. Annals of Internal Medicine, 167 ( 5 ), 293 – 301.
dc.identifier.citedreferenceHorwitz, J., Davis, C. S., McClelland, L. S., Fordon, R. S., & Meara, E. ( 2018 ). The problem of data quality in analyses of opioid regulation: The case of prescription drug monitoring programs. ( 24947 ), Working Paper Series: National Bureau of Economic Research.
dc.identifier.citedreferenceJena, A. B., Goldman, D., Weaver, L., & Karaca‐Mandic, P. ( 2014 ). Opioid prescribing by multiple providers in Medicare: Retrospective observational study of insurance claims. British Medical Journal, 348.
dc.identifier.citedreferenceKennedy‐Hendricks, A., Richey, M., McGinty, E. E., Stuart, E. A., Barry, C. L., & Webster, D. W. ( 2016 ). Opioid overdose deaths and Florida’s crackdown on pill mills. American Journal of Public Health, 106 ( 2 ), 291 – 297.
dc.identifier.citedreferenceKunins, H. V., Farley, T. A., & Dowell, D. ( 2013 ). Guidelines for opioid prescription: Why emergency physicians need support. Annals of Internal Medicine, 158.
dc.identifier.citedreferenceLi, G., Brady, J. E., Lang, B. H., Giglio, J., Wunsch, H., & DiMaggio, C. ( 2014 ). Prescription drug monitoring and drug overdose mortality. Injury Epidemiology, 1 ( 1 ), 1 – 8. http://doi.org/10.1186/2197-1714-1-9
dc.identifier.citedreferenceMakary, M. A., Overton, H. N., & Wang, P. ( 2017 ). Overprescribing is major contributor to opioid crisis. BMJ: British Medical Journal (Online), 359.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
hec4020-sup-0001-Supplementaar ...
Size:
118.9KB
Format:
PDF
View/Open
Name:
hec4020.pdf
Size:
1.484MB
Format:
PDF
View/Open
Name:
hec4020_am.pdf
Size:
1.311MB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.