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The Use of a Prescription Drug Monitoring Program to Develop Algorithms to Identify Providers With Unusual Prescribing Practices for Controlled Substances

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Abstract

The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. Using one state’s prescription drug monitoring program, we describe a series of metrics we developed to identify providers manifesting unusual and uncustomary prescribing practices. We then present the results of a preliminary effort to assess the concurrent validity of these algorithms, using death records from the state’s vital records database pertaining to providers who wrote prescriptions to patients who then died of a medication or drug overdose within 30 days. Metrics manifesting the strongest concurrent validity with providers identified from these records related to those who co-prescribed benzodiazepines (e.g., valium) and high levels of opioid analgesics (e.g., oxycodone), as well as those who wrote temporally overlapping prescriptions. We conclude with a discussion of a variety of uses to which these metrics may be put, as well as problems and opportunities related to their use.

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Notes

  1. For further information, see the National Alliance for Model State Drug Laws at http://www.namsdl.org/prescription-monitoring-programs.cfm.

  2. 391, 402, 403, 404, 406, 424, 426, 428, 430, 432, 435, 436, 455, 450, 461, 462, 465, 476, and 509.

References

  • Baumblatt, J. A. G., Wiedeman, C., Dunn, J. R., Schaffner, W., Paulozzi, L. J., & Jones, T. F. (2014). High-risk use by patients prescribed opioids for pain and its role in overdose deaths. Journal of the American Medical Association Internal Medicine, 174, 796–801.

    CAS  Google Scholar 

  • Betses, M., & Brennan, T. (2013). Abusive prescribing of controlled substances—A pharmacy view. New England Journal of Medicine, 369(11), 989–991.

    Article  CAS  PubMed  Google Scholar 

  • Birnbaum, H. G., White, A. G., Schiller, M., Waldman, T., Cleveland, J. M., & Roland, C. L. (2011). Societal costs of prescription opioid abuse, dependence, and misuse in the United States. Pain Medicine, 12(4), 657–667.

    Article  PubMed  Google Scholar 

  • Bondy, J., Byrns, T., Steiner, J., et al. (1990). Designing a quality assurance program based on an administrative database: The Colorado DUR experience. Boulder, CO: University of Colorado Health Sciences Center, American Medical Review Research Center Symposium, 17 Aug. 1990.

  • Bradford, D., & Rodwell, L. (2011). Modelling supply rates of high-strength oxycodone across New South Wales. BOCSAR NSW Crime and Justice Bulletins, 12, 1–10.

    Google Scholar 

  • Brady, J. E., Wunsch, H., DiMaggio, C., Lang, B. H., Giglio, J., & Li, G. (2014). Prescription drug monitoring and dispensing of prescription opioids. Public Health Reports, 129(2), 139.

    PubMed Central  PubMed  Google Scholar 

  • Bronson, W. (2013). The North Carolina Controlled Substances Reporting System: A valuable tool for combating prescription drug misuse. North Carolina Medical Journal. www.ncmedicaljournal.com/wp-content/uploads/2013/05/74319.pdf. Accessed 5 Feb. 2014.

  • Centers for Disease Control and Prevention (CDC). (2011). Vital signs: Overdoses of prescription opioid pain relievers—United States, 1999–2008. MMWR. Morbidity and Mortality Weekly Report, 60(43), 1487.

    Google Scholar 

  • Chen, L. H., Hedegaard, H., & Warner, M. (2014). Drug-poisoning deaths involving opioid analgesics: United States, 1999–2011. NCHS Data Brief, 166, 1–8.

    Article  PubMed  Google Scholar 

  • Clark, T., Eadie, J., Kreiner, P., Strickler, G., Brandeis University, Florence Heller Graduate School of Social Welfare, & United States of America. (2012). Prescription drug monitoring programs: An assessment of the evidence for best practices. Report: September, 2012.

  • Cochran, B. N., Flentje, A., Heck, N. C., Van Den Bos, J., Perlman, D., Torres, J., et al. (2014). Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: Mathematical modeling using a database of commercially-insured individuals. Drug and Alcohol Dependence, 138, 202–208.

    Article  PubMed Central  PubMed  Google Scholar 

  • Deyo, R. A., Irvine, J. M., Millet, L. M., Beran, T., O’Kane, N., Wright, D. A., & McCarty, D. (2013). Measures such as interstate cooperation would improve the efficacy of programs to track controlled drug prescriptions. Health Affairs, 32(3), 603–613.

    Article  PubMed  Google Scholar 

  • Dormuth, C. R., Miller, T. A., Huang, A., Mamdani, M. M., & Juurlink, D. N. (2012). Effect of a centralized prescription network on inappropriate prescriptions for opioid analgesics and benzodiazepines. Canadian Medical Association Journal, 184(16), E852–E856.

    Article  PubMed Central  PubMed  Google Scholar 

  • Finucane, P. M., Bourgeois-Law, G. A., Ineson, S. L., & Kaigas, T. M. (2003). A comparison of performance assessment programs for medical practitioners in Canada, Australia, New Zealand, and the United Kingdom. Academic Medicine, 78(8), 837–843.

    Article  PubMed  Google Scholar 

  • Fisher, J., Sanyal, C., Frail, D., & Sketris, I. (2012). The intended and unintended consequences of benzodiazepine monitoring programmes: A review of the literature. Journal of Clinical Pharmacy and Therapeutics, 37(1), 7–21.

    Article  CAS  PubMed  Google Scholar 

  • Foster, D. (2012). Commentary on Young & Havens (2012): A policymaker’s perspective on drug use in Appalachia. Addiction, 107(3), 597–598.

    Article  PubMed  Google Scholar 

  • Garrettson, M., & Ringwalt, C. (2013). An evaluation of the North Carolina controlled substances reporting system: part II impact evaluation. University of North Carolina at Chapel Hill, Injury Prevention Research Center. http://www.pdmpexcellence.org/sites/all/pdfs/NC_control_sub_eval_pt_2.pdf. Accessed 3 Oct. 2014.

  • Gilson, A. M., Fishman, S. M., Wilsey, B. L., Casamalhuapa, C., & Baxi, H. (2012). Time series analysis of California’s prescription monitoring program: Impact on prescribing and multiple provider episodes. The Journal of Pain, 13(2), 103–111.

    Article  PubMed Central  PubMed  Google Scholar 

  • Goldenbaum, D. M., Christopher, M., Gallagher, R. M., Fishman, S., Payne, R., & Joranson, D. (2008). Physicians charged with opioid analgesic-prescribing offenses. Pain Medicine, 9(6), 737–747.

    Article  PubMed  Google Scholar 

  • Gourlay, D. L., & Heit, H. A. (2009). Universal precautions revisited: Managing the inherited pain patient. Pain Medicine, 10(S2), S115–S123.

    Article  PubMed  Google Scholar 

  • Hallas, J. (2005). Drug utilization statistics for individual-level pharmacy dispensing data. Pharmacoepidemiology and Drug Safety, 14(7), 455–463.

    Article  PubMed  Google Scholar 

  • Hoaken, P. C. S. (1963). Evaluation of hypnotic agents. Canadian Medical Association Journal, 89(1), 36.

    PubMed Central  CAS  PubMed  Google Scholar 

  • Jones, C. M., Mack, K. A., & Paulozzi, L. J. (2013). Pharmaceutical overdose deaths, United States, 2010. JAMA, 309(7), 657–659.

    Article  CAS  PubMed  Google Scholar 

  • Jones, J. D., Mogali, S., & Comer, S. D. (2012). Polydrug abuse: A review of opioid and benzodiazepine combination use. Drug and Alcohol Dependence, 125(1), 8–18.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Li, 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), 9.

    Article  Google Scholar 

  • Lipton, H. L., & Bird, J. A. (1993). Drug utilization review in ambulatory settings: State of the science and directions for outcomes research. Medical Care, 31(12), 1069–1082.

    Article  CAS  PubMed  Google Scholar 

  • Logan, J., Liu, Y., Paulozzi, L., Zhang, K., & Jones, C. (2013). Opioid prescribing in emergency departments: The prevalence of potentially inappropriate prescribing and misuse. Medical Care, 51(8), 646–653.

    Article  PubMed  Google Scholar 

  • Manchikanti, L., Fellows, B., & Ailinani, H. (2010). Therapeutic use, abuse, and nonmedical use of opioids: A ten-year perspective. Pain Physician, 13, 401–435.

    PubMed  Google Scholar 

  • Maxwell, J. C. (2011). The prescription drug epidemic in the United States. Drug and Alcohol Review, 30(3), 264–270.

    Article  PubMed  Google Scholar 

  • National Alliance of Model State Drug Laws, “Status of State Prescription Drug Monitoring Programs (PDMPs), http://www.namsdl.org/library/1E4808C8-1372-636C-DD0293F829471A7E/. Accessed 16 Apr. 2014.

  • North Carolina Controlled Substances Reporting System Act, North Carolina General Statute § 90-113.74(d) (2005).

  • Okie, S. (2010). A flood of opioids, a rising tide of deaths. New England Journal of Medicine, 363(21), 1981–1985.

    Article  CAS  PubMed  Google Scholar 

  • Paulozzi, 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.

    Article  PubMed  Google Scholar 

  • Pradel, V., Frauger, E., Thirion, X., Ronfle, E., Lapierre, V., & Masut, A. (2009). Impact of a prescription monitoring program on doctor-shopping for high dosage buprenorphine. Pharmacoepidemiology and Drug Safety, 18(1), 36–43.

    Article  PubMed  Google Scholar 

  • Prescription Drug Monitoring Program Training and Technical Assistance Center (PDMP TTAC). (2013a). Technical assistance guide No. 01-13: Calculating daily morphine milligram equivalents. Brandeis University, The Heller School For Social Policy and Management. http://www.pdmpassist.org/pdf/BJA_performance_measure_aid_MME_conversion.pdf.

  • Prescription Drug Monitoring Program Training and Technical Assistance Center (PDMP TTAC). (2013b). Technical assistance guide No. 02-13: Morphine milligram equivalents calculator. http://pdmpassist.org/pdf/bja_performance_measure_aid_mme_conversion_tool.pdf. Accessed 3 Oct 2014.

  • Rice, J. B., White, A. G., Birnbaum, H. G., Schiller, M., Brown, D. A., & Roland, C. L. (2012). A model to identify patients at risk for prescription opioid abuse, dependence, and misuse. Pain Medicine, 13(9), 1162–1173.

    Article  PubMed  Google Scholar 

  • Ringwalt, C., Garrettson, M., & Alexandridis, A. (2015). The effects of North Carolina’s prescription drug monitoring program on the prescribing behaviors of the state’s providers. Journal of Primary Prevention, 36(2), 131–137.

    Article  PubMed  Google Scholar 

  • Robinson, D. L. (2009). Bridging the gaps: Improved legislation to prohibit the abuse of prescription drugs in Virginia. Appalachian JL, 9, 281.

    Google Scholar 

  • Rossen, L. M., Khan, D., & Warner, M. (2014). Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health and Place, 26, 14–20.

    Article  PubMed  Google Scholar 

  • Simoni-Wastila, L., & Tompkins, C. (2001). Balancing diversion control and medical necessity: The case of prescription drugs with abuse potential. Substance Use and Misuse, 36(9–10), 1275–1296.

    Article  CAS  PubMed  Google Scholar 

  • Substance Abuse and Mental Health Services Administration. (2013). Results from the 2012 National Survey on Drug Use and Health: Summary of national findings, NSDUH Series H-46, HHS Publication No. (SMA) 13-4795. Rockville, MD: Substance Abuse and Mental Health Services Administration, Table 1.54B.

  • U.S. Department of Health, Education, and Welfare. Final Report. (1969). Prepared by the task force on prescription drugs. Washington, DC: Government Print Office.

    Google Scholar 

  • White, A. G., Birnbaum, H. G., Schiller, M., Tang, J., & Katz, N. P. (2009). Analytic models to identify patients at risk for prescription opioid abuse. American Journal of Managed Care, 15(12), 897–906.

    PubMed  Google Scholar 

  • Worley, J. (2012). Prescription drug monitoring programs, a response to doctor shopping: Purpose, effectiveness, and directions for future research. Issues in Mental Health Nursing, 33(5), 319–328.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This paper was supported by a Grant #2012-R2-CX-0002 from the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect those of the Department of Justice. We are profoundly grateful for the consistent support we have received from staff of the State’s Prescription Drug Monitoring Program, Bureau of Investigation, and Medical Board.

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Correspondence to Christopher Ringwalt.

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Ringwalt, C., Schiro, S., Shanahan, M. et al. The Use of a Prescription Drug Monitoring Program to Develop Algorithms to Identify Providers With Unusual Prescribing Practices for Controlled Substances. J Primary Prevent 36, 287–299 (2015). https://doi.org/10.1007/s10935-015-0397-0

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