Skip to main content

Advertisement

Log in

Performance-Based Contracting Within a State Substance Abuse Treatment System: A Preliminary Exploration of Differences in Client Access and Client Outcomes

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

Abstract

To explore whether the implementation of performance-based contracting (PBC) within the State of Maine’s substance abuse treatment system resulted in improved performance, one descriptive and two empirical analyses were conducted. The first analysis examined utilization and payment structure. The second study was designed to examine whether timeliness of access to outpatient (OP) and intensive outpatient (IOP) substance abuse assessments and treatment, measures that only became available after the implementation of PBC, differed between PBC and non-PBC agencies in the year following implementation of PBC. Using treatment admission records from the state treatment data system (N = 9,128), logistic regression models run using generalized equation estimation techniques found no significant difference between PBC agencies and other agencies on timeliness of access to assessments or treatment, for both OP and IOP services. The third analysis, conducted using discharge data from the years prior to and after the implementation of performance-based contracting (N = 6,740) for those agencies that became a part of the performance-based contracting system, was designed to assess differences in level of participation, retention, and completion of treatment. Regression models suggest that performance on OP client engagement and retention measures was significantly poorer the year after the implementation of PBC, but that temporal rather than a PBC effects were more significant. No differences were found between years for IOP level of participation or completion of treatment measures.

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.

Similar content being viewed by others

Notes

  1. Although length of stay and completion of treatment measures were both available as possible outcome measures for OP and IOP services, management decided to partner length of stay with number of sessions for OP retention measures and to partner completion of treatment with number of days in treatment for IOP retention measures. As length of stay in OP programs was typically brief, providers had communicated to the state agency that they felt length of stay would be a better outcome indicator for a 4 to 6 weeks’ OP program. In addition, OP had some clear national indicators that were appropriate to use as benchmarks whereas IOP did not.

  2. Linear regression models were also run. PBC was not significant in any of the models. Results are available from authors.

References

  1. Backer, TE. (1988). Research utilization and managing innovation in rehabilitation organizations. Journal of Rehabilitation, 54(2): 18–22.

    Google Scholar 

  2. Lehman, W. Greener, J.M., and Simpson, D.D. (2002). Assessing organizational readiness for change. Journal of Substance Abuse Treatment, 22(4): 197.

    Article  PubMed  Google Scholar 

  3. Institute of Medicine (1990). Treating drug problems. (1990). Washington, DC: The National Academy Press, 1990.

    Google Scholar 

  4. Institute of Medicine (2006). Improving the quality of health care for mental and substance-use conditions. Washington, DC: The National Academy Press.

    Google Scholar 

  5. Commons, M., McGuire, T., and Riordan, M. (1997). Performance-based contracting for substance abuse treatment. Health Services Research, 32(5):631–50.

    PubMed  CAS  Google Scholar 

  6. Lu, M., and Ma, A. (2006). Financial incentives and gaming in alcohol treatment. Inquiry, 43(1): 34–53.

    PubMed  Google Scholar 

  7. Shen, Y. (2003). Selection incentives in a performance-based contracting system. Health Services Research, 38(2): 535–552.

    Article  PubMed  Google Scholar 

  8. Lu, M., and Ma, A. (2002). Consistency in performance evaluation reports and medical records. The Journal of Mental Health Policy and Economics, 5(4): 141–152.

    PubMed  Google Scholar 

  9. Maine Office of Substance Abuse (2008) Block grant application to federal Substance Abuse and Mental Health Services Administration. Maine Office of Substance Abuse, Augusta

    Google Scholar 

  10. McCarty, D., Gustafson, D.H., Wisdom, J.P., et al. (2007). The Network for the Improvement of Addiction Treatment (NIATx): Enhancing access and retention. Drug and Alcohol Dependence, 88: 138–145.

    Article  PubMed  Google Scholar 

  11. Wickizer, T., Maynard, C. Atherly, A et al. (1994). Completion rates of clients discharged from drug and alcohol treatment programs in Washington State. American Journal of Public Health, 84(2):215–221.

    Article  PubMed  CAS  Google Scholar 

  12. Linn, M. (1978). Attrition of older alcoholics from treatment. Internal Journal of Addictions Disorders, 3:437–447.

    CAS  Google Scholar 

  13. Jones, JW. (1985). Predicting patients’ withdrawal against medical advice from an alcoholism treatment center. Psychological Rep, 57:991–994.

    CAS  Google Scholar 

  14. Hahn, J and King, K. (1982). Client and environmental correlates of patient attrition from an inpatient alcoholism treatment center. Journal of Drug Education, 12:75–86.

    Article  Google Scholar 

  15. Sansone, J. (1980). Retention patterns in a therapeutic community for the treatment of drug abuse. International Journal of Addiction, 25:1–26.

    Google Scholar 

  16. Festinger, D.S., Lamb, R.J., Marlowe, D.B. et al. (2002). From telephone to office: Intake attendance as a function of appointment delay. Addictive Behaviors, 27: 131–137.

    Article  PubMed  Google Scholar 

  17. Maddux, J.F., Desmond, D. and Esquivel, M. (1995). Rapid admission and retention on methadone. American Journal of Drug and Alcohol Abuse, 21(4): 533–547.

    Article  PubMed  CAS  Google Scholar 

  18. Stark, M.J., Campbell, B. and Brinkerhoff, C. (1990). Hello, may we help you? A study of attrition prevention at the time of the first phone contact with substance-abusing clients. American Journal of Drug and Alcohol Abuse, 16(1&2): 67–76.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgement

A portion of the work on this study was completed through funding from the National Institute on Drug Abuse Brandeis/Harvard Center on Managed Care and Drug Abuse Treatment (P50-DA10233).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Debra L. Brucker MPA, PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Brucker, D.L., Stewart, M. Performance-Based Contracting Within a State Substance Abuse Treatment System: A Preliminary Exploration of Differences in Client Access and Client Outcomes. J Behav Health Serv Res 38, 383–397 (2011). https://doi.org/10.1007/s11414-010-9228-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11414-010-9228-5

Keywords

Navigation