Skip to main content

Advertisement

Log in

Physicians as Mediators of Health Policy: Acceptance of Medicaid in the Context of Buprenorphine Treatment

  • Published:
The Journal of Behavioral Health Services & Research Aims and scope Submit manuscript

Abstract

Increasing numbers of individuals with opioid use disorder (OUD) are insured by Medicaid. Little is known about whether providers of buprenorphine, an evidence-based OUD pharmacotherapy, accept this type of payment. Data are scant regarding whether Medicaid acceptance varies by physician and state-level characteristics. To address these gaps, national survey data from 1174 buprenorphine-prescribing physicians (BPPs) and state characteristics were examined in a multi-level model of Medicaid acceptance. Only 52.0% of BPPs accepted Medicaid for buprenorphine-related office visits. Specialists in addiction and psychiatry were significantly less likely to accept Medicaid than other specialties, as were BPPs delivering buprenorphine in individual medical practice. Perceived adequacy of Medicaid reimbursement was positively associated with accepting Medicaid. Medicaid acceptance was not associated with states’ implementation of the Medicaid expansion. Individuals who are covered by Medicaid may face barriers to accessing buprenorphine treatment, which has high public health significance given the ongoing opioid epidemic.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  1. Han B, Compton WM, Blanco C, et al. Prescription opioid use, misuse, and use disorders in U.S. adults: 2015 National Survey on Drug Use and Health. Annals of Internal Medicine. 2017;167:293–301.

    Article  PubMed  Google Scholar 

  2. Martins SS, Sarvet A, Santaella-Tenorio J, et al. Changes in US lifetime heroin use and heroin use disorder: Prevalence From the 2001-2002 to 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions. JAMA Psychiatry. 2017;74(5):445–455.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Martins SS, Segura LE, Santaella-Tenorio J, et al. Prescription opioid use disorder and heroin use among 12-34 year-olds in the United States from 2002 to 2014. Addictive Behaviors. 2017;65:236–241.

    Article  PubMed  Google Scholar 

  4. Jones CM. The paradox of decreasing nonmedical opioid analgesic use and increasing abuse or dependence - An assessment of demographic and substance use trends, United States, 2003-2014. Addictive Behaviors. 2017;65:229–235.

    Article  PubMed  Google Scholar 

  5. Rudd RA, Aleshire N, Zibbell JE, et al. Increases in drug and opioid overdose deaths - United States, 2000-2014. MMWR: Morbidity and Mortality Weekly Report. 2016;64(50–51):1378–1382.

    PubMed  Google Scholar 

  6. Paulozzi LJ, Mack KA, Hockenberry JM. Vital signs: Variation among states in prescribing of opioid pain relievers and benzodiazapines--United States, 2012. MMWR: Morbidity and Mortality Weekly Report. 2014;63:563–568.

    PubMed  PubMed Central  Google Scholar 

  7. Jones CM, Mack KA, Paulozzi LJ. Pharmaceutical overdose deaths, United States, 2010. JAMA. 2013;309(7):657–659.

    Article  CAS  PubMed  Google Scholar 

  8. Wu LT, Zhu H, Swartz MS. Treatment utilization among persons with opioid use disorder in the United States. Drug and Alcohol Dependence. 2016;169:117–127.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Roman PM, Johnson JA. Adoption and implementation of new technologies in substance abuse treatment. Journal of Substance Abuse Treatment. 2002;22(4):211–218.

    Article  PubMed  Google Scholar 

  10. Knudsen HK, Abraham AJ, Roman PM. Adoption and implementation of medications in addiction treatment programs. Journal of Addiction Medicine. 2011;5(1):21–27.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Rieckmann TR, Kovas AE, McFarland BH, et al. A multi-level analysis of counselor attitudes toward the use of buprenorphine in substance abuse treatment. Journal of Substance Abuse Treatment. 2011;41(4):374–385.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Roman PM, Abraham AJ, Knudsen HK. Using medication-assisted treatment for substance use disorders: Evidence of barriers and facilitators of implementation. Addictive Behaviors. 2011;36(6):584–589.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Stein BD, Pacula RL, Gordon AJ, et al. Where is buprenorphine dispensed to treat opioid use disorders? The role of private offices, opiod treatment programs, and substance abuse treatment facilities in urban and rural counties. Milbank Quarterly. 2015;93:561–583.

    Article  PubMed  Google Scholar 

  14. Dick AW, Pacula RL, Gordon AJ, et al. Growth in buprenorphine waivers for physicians increased potential access to opioid agonist treatment, 2002-11. Health Affairs. 2015;34(6):1028–1034.

    Article  PubMed  Google Scholar 

  15. Jones CM, Campopiano M, Baldwin G, et al. National and state treatment need and capacity for opioid agonist medication-assisted treatment. American Journal of Public Health. 2015;105(8):e55-e63.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Pating DR, Miller MM, Goplerud E, et al. New systems of care for substance use disorders: Treatment, finance, and technology under health care reform. Psychiatric Clinics of North America. 2012;35(2):327–356.

    Article  PubMed  Google Scholar 

  17. Garfield RL, Druss BG. Health reform, health insurance, and mental health care. American Journal of Psychiatry. 2012;169(7):675–677.

    Article  PubMed  Google Scholar 

  18. Beronio K, Glied S, Frank R. How the Affordable Care Act and Mental Health Parity and Addiction Equity Act greatly expand coverage of behavioral health care. Journal of Behavioral Health Service and Research. 2014;41(4):410–428.

    Article  Google Scholar 

  19. Sommers BD, Gunja MZ, Finegold K, et al. Changes in self-reported insurance coverage, access to care, and health under the Affordable Care Act. JAMA. 2015;314(4):366–374.

    Article  CAS  PubMed  Google Scholar 

  20. Benitez JA, Creel L, Jennings J. Kentucky's Medicaid expansion showing early promise on coverage and access to care. Health Affairs. 2016;35(3):528–534.

    Article  PubMed  Google Scholar 

  21. McKenna RM. Treatment use, sources of payment, and financial barriers to treatment among individuals with opioid use disorder following the national implementation of the ACA. Drug and Alcohol Dependence. 2017;179:87–92.

    Article  PubMed  Google Scholar 

  22. Feder KA, Mojtabai R, Krawczyk N, et al. Trends in insurance coverage and treatment among persons with opioid use disorders following the Affordable Care Act. Drug and Alcohol Dependence. 2017;179:271–274.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Clark RE, Baxter JD, Aweh G, et al. Risk factors for relapse and higher costs among Medicaid members with opioid dependence or abuse: Opioid agonists, comorbidities, and treatment history. Journal of Substance Abuse Treatment. 2015;57(75–80).

    Article  Google Scholar 

  24. Clark RE, Baxter JD, Barton BA, et al. The impact of prior authorization on buprenorphine dose, relapse rates, and cost for Massachusetts Medicaid beneficiaries with opioid dependence. Health Services Research. 2014;49(6):1964–1979.

    PubMed  PubMed Central  Google Scholar 

  25. Baxter JD, Clark RE, Samnaliev M, et al. Factors associated with Medicaid patients' access to buprenorphine treatment. Journal of Substance Abuse Treatment. 2011;41(1):88–96.

    Article  PubMed  Google Scholar 

  26. Stein BD, Gordon AJ, Sorbero M, et al. The impact of buprenorphine on treatment of opioid dependence in a Medicaid population: Recent service utilization trends in the use of buprenorphine and methadone. Drug and Alcohol Dependence. 2012;123(1–3):72–78.

    Article  CAS  PubMed  Google Scholar 

  27. Stein BD, Gordon AJ, Dick AW, et al. Supply of buprenorphine waivered physicians: The influence of state policies. Journal of Substance Abuse Treatment. 2015;48:104–111.

    Article  PubMed  Google Scholar 

  28. Knudsen HK. The supply of physicians waivered to prescribe buprenorphine for opioid use disorders in the United States: A state-level analysis. Journal of Studies on Alcohol and Drugs. 2015;76(4):644–654.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Rinaldo SG, Rinaldo DW. Availability Without Accessibility? State Medicaid Coverage and Authorization Requirements for Opioid Dependence Medications. Available online at https://web.archive.org/web/20150304192426/http://www.asam.org/docs/default-source/advocacy/aaam_implications-for-opioid-addiction-treatment_final. Accessed on December 22, 2014.

  30. Mark TL, Lubran R, McCance-Katz EF, et al. Medicaid coverage of medications to treat alcohol and opioid dependence. Journal of Substance Abuse Treatment. 2015;55:1–5.

    Article  PubMed  Google Scholar 

  31. Clark RE, Baxter JD. Responses of state Medicaid programs to buprenorphine diversion: doing more harm than good? JAMA Internal Medicine. 2013;173(17):1571–1572.

    Article  PubMed  Google Scholar 

  32. Decker SL. In 2011 nearly one-third of physicians said they would not accept new Medicaid patients, but rising fees may help. Health Affairs (Millwood). 2012;31(8):1673–1679.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Cunningham PJ. State Variation in Primary Care Physician Supply: Implications for Health Reform Medicaid Expansions. Available online at https://web.archive.org/web/20110402000140/http://www.hschange.com/CONTENT/1192/1192.pdf. Accessed on December 1, 2015.

  34. Bishop TF, Federman AD, Keyhani S. Declines in physician acceptance of Medicare and private coverage. Archives of Internal Medicine. 2011;171(12):1117–1119.

    Article  PubMed  Google Scholar 

  35. Rhodes KV, Kenney GM, Friedman AB, et al. Primary care access for new patients on the eve of health care reform. JAMA Internal Medicine. 2014;174(6):861–869.

    Article  PubMed  Google Scholar 

  36. Arfken CL, Johanson CE, di Menza S, et al. Expanding treatment capacity for opioid dependence with office-based treatment with buprenorphine: National surveys of physicians. Journal of Substance Abuse Treatment. 2010;39(2):96–104.

    Article  PubMed  Google Scholar 

  37. Netherland J, Botsko M, Egan JE, et al. Factors affecting willingness to provide buprenorphine treatment. Journal of Substance Abuse Treatment. 2009;36(3):244–251.

    Article  PubMed  Google Scholar 

  38. Reif S, Thomas CP, Wallack SS. Factors determining how early adopter physicians use buprenorphine in treatment. Journal of Addiction Medicine. 2007;1(4):205–212.

    Article  PubMed  Google Scholar 

  39. Thomas CP, Reif S, Haq S, et al. Use of buprenorphine for addiction treatment: Perspectives of addiction specialists and general psychiatrists. Psychiatric Services. 2008;59(8):909–916.

    Article  PubMed  Google Scholar 

  40. Kissin W, McLeod C, Sonnefeld J, et al. Experiences of a national sample of qualified addiction specialists who have and have not prescribed buprenorphine for opioid dependence. Journal of Addictive Diseases. 2006;25(4):91–103.

    Article  PubMed  Google Scholar 

  41. Westat. The SAMJSA Evaluation of the Impact of the Data Waiver Program: Summary Report (Task Order 277–00-6111). Available online at https://web.archive.org/web/20111210211241/http://buprenorphine.samhsa.gov/FOR_FINAL_summaryreport_colorized.pdf. Accessed on August 27, 2009.

  42. Fiellin DA. The first three years of buprenorphine in the United States: Experience to date and future directions. Journal of Addiction Medicine. 2007;1(2):62–67.

    Article  PubMed  Google Scholar 

  43. LaBelle CT, Han SC, Bergeron A, et al. Office-based opioid treatment with buprenorphine (OBOT-B): Statewide implementation of the Massachusetts Collaborative Care Model in community health centers. Journal of Substance Abuse Treatment. 2016;60:6–13.

    Article  PubMed  Google Scholar 

  44. Gordon AJ, Trafton JA, Saxon AJ, et al. Implementation of buprenorphine in the Veterans Health administration: Results of the first 3 years. Drug and Alcohol Dependence. 2007;90(2–3):292–296.

    Article  CAS  PubMed  Google Scholar 

  45. Ducharme LJ, Roman PM. Opioid treatment programs in the Clinical Trials Network: Representativeness and buprenorphine adoption. Journal of Substance Abuse Treatment. 2009;37:90–94.

    Article  PubMed  Google Scholar 

  46. Ducharme LJ, Abraham AJ. State policy influence on the early diffusion of buprenorphine in community treatment programs. Substance Abuse Treatment, Prevention, and Policy. 2008;3:17.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Knudsen HK, Ducharme LJ, Roman PM. Early adoption of buprenorphine in substance abuse treatment centers: Data from the private and public sectors. Journal of Substance Abuse Treatment. 2006;30(4):363–373.

    Article  PubMed  Google Scholar 

  48. Cunningham PJ, O'malley AS. Do reimbursement delays discourage Medicaid participation by physicians? Health Affairs (Millwood). 2009;28(1):W17-W28.

    Article  PubMed  Google Scholar 

  49. Sommers AS, Paradise J, Miller C. Physician willingness and resources to serve more Medicaid patients: Perspectives from primary care physicians. Medicare & Medicaid Research Review. 2011;1(2):doi: https://doi.org/10.5600/mmrr.5001.5602.a5601.

  50. Cunningham P, May J. Medicaid Patients Increasingly Concentrated Among Physicians. Available online at https://web.archive.org/web/20061029231320/http://hschange.com/CONTENT/866/866.pdf. Accessed on November 30, 2015.

  51. Rosenbaum S. Racial and ethnic disparities in healthcare: Issues in the design, structure, and administration of federal healthcare financing program supported through direct public funding. In: Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: National Academies Press; 2003:664–698.

    Google Scholar 

  52. Pfeffer J. A resource dependence perspective on intercorporate relations. In: Mizruchi MS, Schwartz M, eds. Intercorporate Relations: The Structural Analysis of Business., Cambridge : Cambridge University Press; 1987:25–55.

    Google Scholar 

  53. Pfeffer J. New Directions for Organization Theory: Problems and Prospects. New York: Oxford University Press; 1997.

    Google Scholar 

  54. Dillman DA. Mail and internet surveys: The tailored design method. 2nd ed. Hoboken, N.J.: Wiley; 2007.

    Google Scholar 

  55. Henry J. Kaiser Family Foundation. Status of State Action on the Medicaid Expansion Decision, 2014. Available online at https://web.archive.org/web/20140617233352/; http://kff.org/health-reform/state-indicator/state-activity-around-expanding-medicaid-under-the-affordable-care-act/. Accessed on June 17, 2014.

  56. Henry J. Kaiser Family Foundation. Health Insurance Coverage of the Total Population. Available online at https://web.archive.org/web/20140712184316/http://kff.org/other/state-indicator/total-population/. Accessed on May 13, 2014.

  57. Henry J. Kaiser Family Foundation. Distribution of Total Population by Federal Poverty Level. Available online at https://web.archive.org/web/20140516085839/http://kff.org/other/state-indicator/distribution-by-fpl/. Accessed on January 24, 2014.

  58. Price CC, Eibner C. For states that opt out of Medicaid expansion: 3.6 million fewer insured and $8.4 billion less in federal payments. Health Affairs. 2013;32(6):1030–1036.

    Article  PubMed  Google Scholar 

  59. United States Census Bureau. State totals: Vintage 2014. Available online at https://web.archive.org/web/20150627072143/; http://www.census.gov/popest/data/state/totals/2014/index.html. Accessed on August 12, 2015.

  60. Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381.

    Article  PubMed  Google Scholar 

  61. Allison PD. Missing Data. Thousand Oaks, CA: Sage; 2002.

    Book  Google Scholar 

  62. Royston P. Multiple imputation of missing values. The Stata Journal. 2004;4(3):227–241.

    Article  Google Scholar 

  63. Royston P. Multiple imputation of missing values: Update. The Stata Journal. 2005;5(2):188–201.

    Article  Google Scholar 

  64. Royston P. Multiple imputation of missing values: Update of ice. The Stata Journal. 2005;5(4):527–536.

    Article  Google Scholar 

  65. White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine. 2011;30(4):377–399.

    Article  PubMed  Google Scholar 

  66. StataCorp. Stata Multiple-Imputation Reference Manual, Release 15. College Station, TX: StataCorp; 2017.

  67. Knudsen HK, Lofwall MR, Havens JR, et al. States' implementation of the Affordable Care Act and the supply of physicians waivered to prescribe buprenorphine for opioid dependence. Drug and Alcohol Dependence. 2015;157(Dec 1):36–43.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Wen H, Hockenberry JM, Borders TF, et al. Impact of Medicaid expansion on Medicaid-covered utilization of buprenorphine for opioid use disorder treatment. Medical Care. 2017;55(4):336–341.

    Article  PubMed  Google Scholar 

  69. Clemans-Cope L, Epstein M, Kenney GM. Rapid Growth in Medicaid Spending on Medications to Treat Opioid Use Disorder And Overdose. Available online at https://web.archive.org/web/20170710140634/; http://www.urban.org/sites/default/files/publication/91521/2001386-rapid-growth-in-medicaid-spending-on-medications-to-treat-opioid-use-disorder-and-overdose_3.pdf. Accessed on August 24, 2017.

  70. Henry J. Kaiser Family Foundation. Health Reform Implementation Timeline. Available online at http://kff.org/interactive/implementation-timeline/. Accessed on May 1, 2014.

  71. Klabunde CN, Willis GB, Casalino LP. Facilitators and barriers to survey participation by physicians: a call to action for researchers. Evaluation and the Health Professions. 2013;36(3):279–295.

    Article  PubMed  Google Scholar 

  72. McLeod CC, Klabunde CN, Willis GB, et al. Health care provider surveys in the United States, 2000-2010: a review. Evaluation and the Health Professions. 2013;36(1):106–126.

    Article  PubMed  Google Scholar 

  73. Groves RM, Peytcheva E. The impact of nonresponse rates on nonresponse bias: A meta-analysis. Public Opinion Quarterly. 2008;72(2):167–189.

    Article  Google Scholar 

  74. McLellan AT, Woodsworth AM. The Affordable Care Act and treatment for "substance use disorders:" Implications of ending segregated behavioral healthcare. Journal of Substance Abuse Treatment. 2014;46(5):541–545.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported by funding from the National Institute on Drug Abuse (NIDA Grant R33DA035641), an institute within the National Institutes of Health (NIH). The use of REDCap was supported by a grant from the National Center for Advancing Translational Sciences (NIH CTSA UL1TR000117). The content of this manuscript is solely the responsibility of the authors and does not represent the official views of the NIH or NIDA. The authors gratefully acknowledge the physicians who participated in the study and the efforts of the research staff: Jennifer Cook, Eric Shelton, Diana Norkus, Danielle Rosenkrantz, Jorge Masson, Joseph Calvert, and Haley Clark.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hannah K. Knudsen PhD.

Ethics declarations

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Knudsen, H.K., Studts, J.L. Physicians as Mediators of Health Policy: Acceptance of Medicaid in the Context of Buprenorphine Treatment. J Behav Health Serv Res 46, 151–163 (2019). https://doi.org/10.1007/s11414-018-9629-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11414-018-9629-4

Navigation