IDEAS home Printed from https://ideas.repec.org/p/pri/econom/2020-10.html
   My bibliography  Save this paper

Rules vs. Discretion: Treatment of Mental Illness in U.S. Adolescents

Author

Listed:
  • Emily Cuddy

    (Princeton University)

  • Janet Currie

    (Princeton University)

Abstract

Mental health disorders are a leading cause of disability worldwide. Many mental health disorders start in adolescence and appropriate treatment at the outset may improve trajectories. We use a large national data base of insurance claims to examine the impact of initial mental health treatment on the outcomes of adolescent children over the next two years. We find that receiving follow up mental health treatment in the first three months after an initial mental health claim increases the total cost of care over the next 24 months. These higher costs are entirely accounted for by children who receive treatment that is not consistent with practice guidelines. Our estimates imply that, within 24 months, children who initially received a red-flag drug have 205% higher costs than those of the average treated child and are 131% more likely to have used an emergency room or experienced a hospitalization. These results show that large numbers of U.S. children are receiving mental health care that falls outside of accepted guidelines and poses risks to their health. In doing so, they provide support for the guidelines themselves, and demonstrate that analyses of large-scale claims data can provide a useful complement to clinical research studies in identifying best practices.

Suggested Citation

  • Emily Cuddy & Janet Currie, 2020. "Rules vs. Discretion: Treatment of Mental Illness in U.S. Adolescents," Working Papers 2020-10, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2020-10
    as

    Download full text from publisher

    File URL: https://www.nber.org/system/files/working_papers/w27890/w27890.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Janet M. Currie & W. Bentley MacLeod, 2020. "Understanding Doctor Decision Making: The Case of Depression Treatment," Econometrica, Econometric Society, vol. 88(3), pages 847-878, May.
    2. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    3. Duncan Sheppard Gilchrist & Emily Glassberg Sands, 2016. "Something to Talk About: Social Spillovers in Movie Consumption," Journal of Political Economy, University of Chicago Press, vol. 124(5), pages 1339-1382.
    4. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    5. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    6. Molly Schnell & Janet Currie, 2018. "Addressing the Opioid Epidemic: Is There a Role for Physician Education?," American Journal of Health Economics, University of Chicago Press, vol. 4(3), pages 383-410, Summer.
    7. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    8. Emily Cuddy & Janet Currie, 2020. "Treatment of mental illness in American adolescents varies widely within and across areas," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(39), pages 24039-24046, September.
    9. Cynthia Bansak & Steven Raphael, 2008. "The State Children's Health Insurance Program and Job Mobility: Identifying Job Lock among Working Parents in Near-Poor Households," ILR Review, Cornell University, ILR School, vol. 61(4), pages 564-579, July.
    10. Smith, James Patrick & Smith, Gillian C., 2010. "Long-term economic costs of psychological problems during childhood," Social Science & Medicine, Elsevier, vol. 71(1), pages 110-115, July.
    11. Frank, Richard G. & Zeckhauser, Richard J., 2007. "Custom-made versus ready-to-wear treatments: Behavioral propensities in physicians' choices," Journal of Health Economics, Elsevier, vol. 26(6), pages 1101-1127, December.
    12. Janet Currie & Mark Stabile & Phongsack Manivong & Leslie L. Roos, 2010. "Child Health and Young Adult Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    13. David Cutler & Jonathan S. Skinner & Ariel Dora Stern & David Wennberg, 2019. "Physician Beliefs and Patient Preferences: A New Look at Regional Variation in Health Care Spending," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 192-221, February.
    14. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    15. Omar Al-Ubaydli & John A. List & Danielle LoRe & Dana Suskind, 2017. "Scaling for Economists: Lessons from the Non-Adherence Problem in the Medical Literature," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 125-144, Fall.
    16. Omar Al-Ubaydli & John A. List & Dana L. Suskind, 2017. "What Can We Learn from Experiments? Understanding the Threats to the Scalability of Experimental Results," American Economic Review, American Economic Association, vol. 107(5), pages 282-286, May.
    17. Berndt, Ernst R. & Gibbons, Robert S. & Kolotilin, Anton & Taub, Anna Levine, 2015. "The heterogeneity of concentrated prescribing behavior: Theory and evidence from antipsychotics," Journal of Health Economics, Elsevier, vol. 40(C), pages 26-39.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amy Finkelstein & Petra Persson & Maria Polyakova & Jesse M. Shapiro, 2022. "A Taste of Their Own Medicine: Guideline Adherence and Access to Expertise," American Economic Review: Insights, American Economic Association, vol. 4(4), pages 507-526, December.
    2. Costa-Ramón, Ana & Daysal, N. Meltem & Rodríguez-González, Ana, 2023. "The Oral Contraceptive Pill and Adolescents' Mental Health," IZA Discussion Papers 16288, Institute of Labor Economics (IZA).
    3. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-Varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," ECONtribute Discussion Papers Series 083, University of Bonn and University of Cologne, Germany.
    4. Marie, Olivier & Zwiers, Esmée, 2022. "Religious Barriers to Birth Control Access," CEPR Discussion Papers 17427, C.E.P.R. Discussion Papers.
    5. Lena Janys & Bettina Siflinger, 2021. "Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions," Papers 2103.12159, arXiv.org, revised May 2022.
    6. Benjamin Ly Serena, 2021. "Revisiting Offsets of Psychotherapy Coverage," CEBI working paper series 21-05, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    2. Méndez, Susan J. & Scott, Anthony & Zhang, Yuting, 2021. "Gender differences in physician decisions to adopt new prescription drugs," Social Science & Medicine, Elsevier, vol. 277(C).
    3. Avdic, Daniel & Blankart, Katharina, 2021. "A Hard Look at “Soft” Cost‐control Measures in Healthcare Organizations: Evidence from Preferred Drug Policies in Germany," CINCH Working Paper Series (since 2020) 74978, Duisburg-Essen University Library, DuEPublico.
    4. Avdic, Daniel & Blankart, Katharina, 2021. "A Hard Look at “Soft” Cost‐control Measures in Healthcare Organizations: Evidence from Preferred Drug Policies in Germany," CINCH Working Paper Series (since 2020) 74978, Duisburg-Essen University Library, DuEPublico.
    5. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    6. John A. List & Fatemeh Momeni & Yves Zenou, 2020. "The Social Side of Early Human Capital Formation: Using a Field Experiment to Estimate the Causal Impact of Neighborhoods," Working Papers 2020-187, Becker Friedman Institute for Research In Economics.
    7. Michael L. Barnett & Andrew Olenski & Adam Sacarny, 2023. "Common Practice: Spillovers from Medicare on Private Health Care," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 65-88, August.
    8. Bonaccolto-Töpfer, Marina & Briel, Stephanie, 2022. "The gender pay gap revisited: Does machine learning offer new insights?," Labour Economics, Elsevier, vol. 78(C).
    9. McKenzie, David & Sansone, Dario, 2017. "Man vs. Machine in Predicting Successful Entrepreneurs: Evidence from a Business Plan Competition in Nigeria," CEPR Discussion Papers 12523, C.E.P.R. Discussion Papers.
    10. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
    11. Dubois, Pierre & Tunçel, Tuba, 2021. "Identifying the effects of scientific information and recommendations on physicians’ prescribing behavior," Journal of Health Economics, Elsevier, vol. 78(C).
    12. Ida Lykke Kristiansen, 2021. "Consequences of serious parental health events on child mental health and educational outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1772-1817, August.
    13. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
    14. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
    15. Godzinski, Alexandre & Suarez Castillo, Milena, 2021. "Disentangling the effects of air pollutants with many instruments," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    16. Ida Lykke Kristiansen & Sophie Yanying Sheng, 2022. "Doctor Who? The Effect of Physician-Patient Match on The SES-Health Gradient," CEBI working paper series 22-05, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    17. Anil Kumar, 2018. "Do Restrictions on Home Equity Extraction Contribute to Lower Mortgage Defaults? Evidence from a Policy Discontinuity at the Texas Border," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 268-297, February.
    18. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores‐Lagunes & Hans‐Peter Kohler, 2021. "Genetic risks, adolescent health, and schooling attainment," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2905-2920, November.
    19. Lin, Dajun & Lutter, Randall & Ruhm, Christopher J., 2018. "Cognitive performance and labour market outcomes," Labour Economics, Elsevier, vol. 51(C), pages 121-135.
    20. Omar Al-Ubaydli & John List & Claire Mackevicius & Min Sok Lee & Dana Suskind, 2019. "How Can Experiments Play a Greater Role in Public Policy? 12 Proposals from an Economic Model of Scaling," Artefactual Field Experiments 00679, The Field Experiments Website.

    More about this item

    Keywords

    Health; Healthcare; Mental Illness;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pri:econom:2020-10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bobray Bordelon (email available below). General contact details of provider: https://economics.princeton.edu/working-papers/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.