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Progress and compliance in alcohol abuse treatment

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  • Lien, Hsien-Ming
  • Lu, Mingshan
  • Albert Ma, Ching-To
  • McGuire, Thomas G.

Abstract

Improving patient compliance with physicians' treatment or prescription recommendations is an important goal in medical practice. We examine the relationship between treatment progress and patient compliance. We hypothesize that patients balance expected benefits and costs during a treatment episode when deciding on compliance; a patient is more likely to comply if doing so results in an expected gain in health benefit. We use a unique data set of outpatient alcohol abuse treatment to identify a relationship between treatment progress and compliance. Treatment progress is measured by the clinician's comments after each attended visit. Compliance is measured by a client attending a scheduled appointment, and continuing with treatment. We find that a patient who is making progress is less likely to drop out of treatment. We find no evidence that treatment progress raises the likelihood of a patient attending the next scheduled visit. Our results are robust to unobserved patient heterogeneity.

Suggested Citation

  • Lien, Hsien-Ming & Lu, Mingshan & Albert Ma, Ching-To & McGuire, Thomas G., 2010. "Progress and compliance in alcohol abuse treatment," Journal of Health Economics, Elsevier, vol. 29(2), pages 213-225, March.
    • Handle: RePEc:eee:jhecon:v:29:y:2010:i:2:p:213-225
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    1. Mingshan Lu, 1999. "Separating the True Effect from Gaming in Incentive‐Based Contracts in Health Care," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 8(3), pages 383-431, September.
    2. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    3. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2004. "Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 657-668, July.
    4. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    5. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    6. Cutler, David M, 1995. "The Incidence of Adverse Medical Outcomes under Prospective Payment," Econometrica, Econometric Society, vol. 63(1), pages 29-50, January.
    7. Conway, Karen Smith & Deb, Partha, 2005. "Is prenatal care really ineffective? Or, is the 'devil' in the distribution?," Journal of Health Economics, Elsevier, vol. 24(3), pages 489-513, May.
    8. Paul Ellickson & Scott Stern & Manuel Trajtenberg, 2001. "Patient Welfare and Patient Compliance -- An Empirical Framework for Measuring the Benefits from Pharmaceutical Innovation," NBER Chapters, in: Medical Care Output and Productivity, pages 539-564, National Bureau of Economic Research, Inc.
    9. Anonymous, 1979. "Introduction [La Crise Linguistique]," Canadian Public Policy, University of Toronto Press, vol. 5(1), pages 2-3, Winter.
    10. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
    11. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    12. Lien, Hsien-Ming & Albert Ma, Ching-To & McGuire, Thomas G., 2004. "Provider-client interactions and quantity of health care use," Journal of Health Economics, Elsevier, vol. 23(6), pages 1261-1283, November.
    13. Spire, Bruno & Duran, Ségolène & Souville, Marc & Leport, Catherine & Raffi, François & Moatti, Jean-Paul, 2002. "Adherence to highly active antiretroviral therapies (HAART) in HIV-infected patients: from a predictive to a dynamic approach," Social Science & Medicine, Elsevier, vol. 54(10), pages 1481-1496, May.
    14. Anonymous, 1979. "Introduction [The Language Crisis]," Canadian Public Policy, University of Toronto Press, vol. 5(1), pages 1-2, Winter.
    15. Avi Dor & William Encinosa, 2004. "How Does Cost-Sharing Affect Drug Purchases? Insurance Regimes in the Private Market for Prescription Drugs," NBER Working Papers 10738, National Bureau of Economic Research, Inc.
    16. Conrad, Peter, 1985. "The meaning of medications: Another look at compliance," Social Science & Medicine, Elsevier, vol. 20(1), pages 29-37, January.
    17. William Greene, 2002. "The Behavior of the Fixed Effects Estimator in Nonlinear Models," Working Papers 02-05, New York University, Leonard N. Stern School of Business, Department of Economics.
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    1. Briscese, Guglielmo & Lacetera, Nicola & Macis, Mario & Tonin, Mirco, 2023. "Expectations, reference points, and compliance with COVID-19 social distancing measures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).

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