Numbers Don't Lie: Prescription Drug Abuse


This infographic encapsulates the prescription drug abuse problem in the United States in an easy-to-read snapshot style using relevant data from various US government sources, while highlighting its seriousness as a national health epidemic. It also informs readers about specific steps they can take to help reverse the nation's increasing trend of prescription drug abuse.

Many readers find it hard to understand a poster or infographic displaying multiple graphs, so I decided to only include one for my competition entry, which shows the strongly increasing trends co-occurring in prescription painkiller sales, deaths, and substance abuse treatment admissions. Various other important facts and dangers in the prescription drug problem are presented not in graph or chart form, but via visual images, icons, numerical and percentage comparisons, and strategic groupings of text and data sets.

All of the information, data sets, and conclusions shown in the infographic submission, including prescription painkiller death rates, usage rates, treatment rates, health care costs, overdose rates, sources of prescription painkillers, and high risk populations and drug categories, are obtained directly from US Government sources, although they may have been separately reported by third party institutions and the media.

References

  1. Valarie Honeycutt Spears. Ky. sees rise in overdose deaths from pills obtained in Fla. Lexington Herald-Leader 2009 Apr 12. Available from URL: http://www.kentucky.com/2009/04/12/758845/ky-sees-rise-in-overdose-deaths.htmlExternal Web Site Icon.
  2. Cathy McKitrick. Youth’s overdose sends strong message. Salt Lake City Tribune 2011 May 17. Available from URL: http://www.sltrib.com/sltrib/news/51689248-78/prescription-drugs-drug-watson.html.cspExternal Web Site Icon.
  3. Keith O’Brien. Man fights what son could not. Boston Globe 2008 Jan 12. Available from URL: http://www.boston.com/news/local/articles/2008/01/12/man_fights_what_son_could_notExternal Web Site Icon/.
  4. CDC. Vital Signs: Overdoses of Prescription Opioid Pain Relievers—United States, 1999-2008. MMWR 2011; 60: 1-6
  5. National Vital Statistics System. Drug overdose death rates by state. 2008.
  6. Substance Abuse and Mental Health Services Administration. Drug Abuse Warning Network: selected tables of national estimates of drug-related emergency department visits. Rockville, MD: Center for Behavioral Health Statistics and Quality, SAMHSA; 2010.
  7. Substance Abuse and Mental Health Services Administration. Results from the 2010 National Survey on Drug Use and Health: volume 1: summary of national findings. Rockville, MD: Substance Abuse and Mental Health Services Administration, Office of Applied Studies; 2011. Available from URL: http://oas.samhsa.gov/NSDUH/2k10NSDUH/2k10Results.htm#2.16External Web Site Icon.
  8. CDC. Warner M, Chen LH, Makuc DM. Increase in fatal poisonings involving opioid analgesics in the United States, 1999-2006. NCHS Data Brief;22 Sept 2009. Available from URL: http://www.cdc.gov/nchs/data/databriefs/db22.pdf Adobe PDF file.
  9. Substance Abuse and Mental Health Services Administration. Substance abuse treatment admissions by primary substance of abuse, according to sex, age group, race, and ethnicity 2009 (Treatment Episode Data Set). (URL: http://wwwdasis.samhsa.gov/webt/quicklink/US09.htm)
    1. Volkow ND, McLellan TA, Cotto JH, Karithanom M, Weiss SRB. Characteristics of opioid prescriptions in 2009. JAMA 2011;305(13):1299–1301.
    2. Blumenschein K, Fink JL, Freeman PR, Kirsh KL, Steinke DT, Talbert J. Independent evaluation of the impact and effectiveness of the Kentucky All Schedule Prescription Electronic Reporting Program (KASPER). Lexington (KY): Institute for Pharmaceutical Outcomes and Policy; 2010.
    3. Dhalla IA, Mamdani MM, Gomes T. Juurlink DN. Clustering of opioid prescribing and opioid-related mortality among family physicians in Ontario. Canadian Family Med. 2011;57:e92–e96.
    4. Swedlow A, Ireland J, Johnson G. Prescribing patterns of schedule II opioids in California Workers’ Compensation. Cal. Workers’ Compensation Update. 2011 Mar:1–12. Available from URL: http://www.cwci.org/research.htmlExternal Web Site Icon.
    5. White AG, Birnbaum HG, Schiller M, Tang J, Katz NP. Analytic models to identify patients at risk for prescription opioid abuse. Am J of Managed Care 2009;15(12):897-906.
    6. Hall AJ, Logan JE, Toblin RL, Kaplan JA, Kraner JC, Bixler D, et al. Patterns of abuse among unintentional pharmaceutical overdose fatalities. JAMA 2008;300(22):2613-20.
    7. Green TC, Graub LE, Carver HW, Kinzly M, Heimer R. Epidemiologic trends and geographic patterns of fatal opioid intoxications in Connecticut, USA: 1997–2007. Drug and Alcohol Dependence 2011;115:221-8.
    8. Paulozzi LJ, Logan JE, Hall AJ, McKinstry E, Kaplan JA, Crosby AE. A comparison of drug overdose deaths involving methadone and other opioid analgesics in West Virginia. Addiction 2009;104(9):1541-8.
    9. Dunn KM, Saunders KW, Rutter CM, Banta-Green CJ, Merrill JO, Sullivan MD, et al. Opioid prescriptions for chronic pain and overdose: a cohort study. Ann Intern Med. 2010;152(2):85-92.
    10. Bohnert AS, Valenstein M, Bair MJ, Ganoczy D, McCarthy JF, Ilgen MA, et al. Association between opioid prescribing patterns and opioid overdose-related deaths. JAMA 2011;305(13):1315-1321.
    11. CDC. Overdose deaths involving prescription opioids among Medicaid enrollees-Washington, 2004-2007. MMWR. 2010;59;705-9.
    12. Braden JB, Fan MY, Edlund MJ, Martin BC, DeVries A, Sullivan MD. Trends in use of opioids by noncancer pain type 2000-2005 among Arkansas Medicaid and HealthCore enrollees: results from the TROUP study. J Pain 2008;9(11):1026-1035.
    13. Alliance of States with Prescription Monitoring Programs. Status of Prescription Drug Monitoring Programs (PDMPs). Available from URL: http://www.pmpalliance.org/pdf/pmpstatusmap2011.pdf Drug Abuse Warning Network (DAWN; http://www.samhsa.gov/data/DAWN.aspx)
    14. Monitoring the Future (MTF; http://www.monitoringthefuture.org/)
    15. National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; http://www.sgim.org/communities/research/dataset-compendium/national-epidemiologic-survey-on-alcohol-and-related-conditions-nesarc)
    16. National Health Interview Survey (NHIS; http://www.cdc.gov/nchs/nhis.htm)
    17. National Longitudinal Study of Adolescent Health (Add Health; http://www.cpc.unc.edu/projects/addhealth)
    18. National Longitudinal Surveys (NLS; http://www.bls.gov/nls/)
    19. National Survey on Drug Use & Health (NSDUH; http://www.samhsa.gov/data/NSDU/2011SummNatFindDetTables/Index.aspx)
    20. Treatment Episode Data Set (TEDS; http://wwwdasis.samhsa.gov/webt/newmapv1.htm)
    21. Health Data Community at data.gov (Health Data; http://www.healthdata.gov/)
    22. CDC Vital Signs: Prescription Painkiller Overdoses in the US (http://www.cdc.gov/vitalsigns/PainkillerOverdoses/index.html)
    23. MMWR: Vital Signs: Overdoses of Prescription Opioid Pain Relievers --- United States, 1999--2008
    24. CDC Feature Article: Prescription Painkiller Overdoses in the U.S. (http://www.cdc.gov/features/vitalsigns/painkilleroverdoses/index.html)
    25. National Vital Statistics System, 1999-2008
    26. Automation of Reports and Consolidated Orders System (ARCOS) of the Drug Enforcement Administration (DEA), 1999-2010
    27. Treatment Episode Data Set, 1999-2009

Try it out