IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26363.html
   My bibliography  Save this paper

What Difference Does a Diagnosis Make? Evidence from Marginal Patients

Author

Listed:
  • Mattan Alalouf
  • Sarah Miller
  • Laura R. Wherry

Abstract

Over the past 30 years, the criteria used to diagnose many illnesses have been relaxed, resulting in millions more relatively healthy individuals receiving treatment. This paper explores the impact of receiving a diagnosis of a common disease among such “marginally ill” patients. We apply a regression discontinuity design to the cutoff in blood sugar levels used to classify patients as having diabetes. We find that a marginally diagnosed patient with diabetes spends $1,097 more on drugs and diabetes-related care annually after diagnosis, but find no corresponding changes in self-reported health or healthy behaviors. These increases in spending persist over the 6-year period we observe the patients. These marginally diagnosed patients experience improved blood sugar after the first year of diagnosis, but this improvement does not persist in subsequent years. Other clinical measures of health, such as BMI, blood pressure, cholesterol, and mortality show no improvement. The diagnosis rates for preventable disease-related conditions such as diabetic retinopathy, neuropathy, and kidney disease increase following a diagnosis, likely due to more intensive screening. Our results imply that a small relaxation in the diagnosis cutoff would increase total spending on diabetes-related care by about $2.4 billion annually and minimally impact patient health.

Suggested Citation

  • Mattan Alalouf & Sarah Miller & Laura R. Wherry, 2019. "What Difference Does a Diagnosis Make? Evidence from Marginal Patients," NBER Working Papers 26363, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26363
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26363.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    2. Chyn, Eric & Gold, Samantha & Hastings, Justine, 2021. "The returns to early-life interventions for very low birth weight children," Journal of Health Economics, Elsevier, vol. 75(C).
    3. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    4. Joseph J. Doyle, 2011. "Returns to Local-Area Health Care Spending: Evidence from Health Shocks to Patients Far from Home," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 221-243, July.
    5. Kim, Hyuncheol Bryant & Lee, Suejin A. & Lim, Wilfredo, 2019. "Knowing is not half the battle: Impacts of information from the National Health Screening Program in Korea," Journal of Health Economics, Elsevier, vol. 65(C), pages 1-14.
    6. Douglas Almond & Joseph J. Doyle & Amanda E. Kowalski & Heidi Williams, 2010. "Estimating Marginal Returns to Medical Care: Evidence from At-risk Newborns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 591-634.
    7. Emily Oster, 2018. "Diabetes and Diet: Purchasing Behavior Change in Response to Health Information," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 308-348, October.
    8. Joseph J. Doyle Jr. & John A. Graves & Jonathan Gruber & Samuel A. Kleiner, 2015. "Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 170-214.
    9. Zhao, Meng & Konishi, Yoshifumi & Glewwe, Paul, 2013. "Does information on health status lead to a healthier lifestyle? Evidence from China on the effect of hypertension diagnosis on food consumption," Journal of Health Economics, Elsevier, vol. 32(2), pages 367-385.
    10. Michael Frakes, 2013. "The Impact of Medical Liability Standards on Regional Variations in Physician Behavior: Evidence from the Adoption of National-Standard Rules," American Economic Review, American Economic Association, vol. 103(1), pages 257-276, February.
    11. Dahlberg, Matz & Mani, Kevin & Öhman, Mattias & Wanhainen, Anders, 2016. "Health Information and Well-Being: Evidence from an Asymptomatic Disease," Working Paper Series 2016:2, Uppsala University, Department of Economics.
    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. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    2. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," CEPR Discussion Papers 15660, C.E.P.R. Discussion Papers.
    3. Iizuka, Toshiaki & Nishiyama, Katsuhiko & Chen, Brian & Eggleston, Karen, 2021. "False alarm? Estimating the marginal value of health signals," Journal of Public Economics, Elsevier, vol. 195(C).
    4. ZHAO Meng & YIN Ting & SEKIZAWA Yoichi, 2023. "Make Behavioral Changes for a Healthier Liver? Evidence from a liver function test in Japan," Discussion papers 23010, Research Institute of Economy, Trade and Industry (RIETI).
    5. Ding, Yu & Liu, Chenyuan, 2021. "Alternative payment models and physician treatment decisions: Evidence from lower back pain," Journal of Health Economics, Elsevier, vol. 80(C).
    6. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    7. Janet Currie & David Slusky, 2020. "Does the Marginal Hospitalization Save Lives? The Case of Respiratory Admissions for the Elderly," NBER Working Papers 26618, National Bureau of Economic Research, Inc.
    8. Liebman, Eli & Lawler, Emily C. & Dunn, Abe & Ridley, David B., 2023. "Consequences of a shortage and rationing: Evidence from a pediatric vaccine," Journal of Health Economics, Elsevier, vol. 92(C).
    9. Sacks, Daniel W. & Hollingsworth, Alex & Nguyen, Thuy & Simon, Kosali, 2021. "Can policy affect initiation of addictive substance use? Evidence from opioid prescribing," Journal of Health Economics, Elsevier, vol. 76(C).
    10. Avdic, Daniel & Decker, Simon & Karlsson, Martin & Salm, Martin, 2024. "No-claim refunds and healthcare use," Journal of Public Economics, Elsevier, vol. 230(C).
    11. Krista Riukula, 2023. "The effects of screening for gestational diabetes," Empirical Economics, Springer, vol. 65(4), pages 1931-1964, October.
    12. Claire E. Boone & Pablo A. Celhay & Paul Gertler & Tadeja Gracner, 2023. "Encouraging Preventative Care to Manage Chronic Disease at Scale," NBER Working Papers 31643, National Bureau of Economic Research, Inc.
    13. Mikko Nurminen & Hanna Rättö, 2023. "Impact of diabetes diagnosis on dental care utilization: evidence from Finland," Health Economics Review, Springer, vol. 13(1), pages 1-11, December.

    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. Iizuka, Toshiaki & Nishiyama, Katsuhiko & Chen, Brian & Eggleston, Karen, 2021. "False alarm? Estimating the marginal value of health signals," Journal of Public Economics, Elsevier, vol. 195(C).
    2. Szklo, Michel & Clarke, Damian & Rocha, Rudi, 2024. "Does Increasing Public Spending in Health Improve Health? Lessons from a Constitutional Reform in Brazil," IZA Discussion Papers 16829, Institute of Labor Economics (IZA).
    3. Tiantian Dai & Shenyi Jiang & Xiangbo Liu & Ang Sun, 2022. "The effects of a hypertension diagnosis on health behaviors: A two‐dimensional regression discontinuity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 31(4), pages 574-596, April.
    4. Engy Ziedan & Kosali I. Simon & Coady Wing, 2022. "Mortality Effects of Healthcare Supply Shocks: Evidence Using Linked Deaths and Electronic Health Records," NBER Working Papers 30553, National Bureau of Economic Research, Inc.
    5. Masato Oikawa, 2024. "The role of education in health policy reform outcomes: evidence from Japan," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 49-76, February.
    6. Maibom, Jonas & Sievertsen, Hans H. & Simonsen, Marianne & Wüst, Miriam, 2021. "Maternity ward crowding, procedure use, and child health," Journal of Health Economics, Elsevier, vol. 75(C).
    7. Danea Horn, 2024. "From prevention to treatment: Prescription medication, information, and health behaviors," Health Economics, John Wiley & Sons, Ltd., vol. 33(11), pages 2618-2644, November.
    8. Dzhamilya Nigmatulina & Charles Becker, 2016. "Is high-tech care in a middle-income country worth it?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(4), pages 585-620, October.
    9. Kämpfen, F.; & Gómez-Olivé, X.; & O’Donnell, O.; & Riumallo Herl, C.;, 2023. "Effectiveness of Population-Based Hypertension Screening: A Multidimensional Regression Discontinuity Design," Health, Econometrics and Data Group (HEDG) Working Papers 23/15, HEDG, c/o Department of Economics, University of York.
    10. Janet Currie & David Slusky, 2020. "Does the Marginal Hospitalization Save Lives? The Case of Respiratory Admissions for the Elderly," NBER Working Papers 26618, National Bureau of Economic Research, Inc.
    11. Salm, Martin & Wübker, Ansgar, 2018. "Do higher hospital reimbursement prices improve quality of care?," Ruhr Economic Papers 779, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Engy Ziedan & Kosali I. Simon & Coady Wing, 2020. "Effects of State COVID-19 Closure Policy on NON-COVID-19 Health Care Utilization," NBER Working Papers 27621, National Bureau of Economic Research, Inc.
    13. Christian Posso & Jorge Tamayo & Arlen Guarin & Estefania Saravia, 2024. "Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes," Borradores de Economia 1269, Banco de la Republica de Colombia.
    14. Gaggero, Alessio & Gil, Joan & Jiménez-Rubio, Dolores & Zucchelli, Eugenio, 2022. "Does health information affect lifestyle behaviours? The impact of a diabetes diagnosis," Social Science & Medicine, Elsevier, vol. 314(C).
    15. ZHAO Meng & YIN Ting & SEKIZAWA Yoichi, 2023. "Make Behavioral Changes for a Healthier Liver? Evidence from a liver function test in Japan," Discussion papers 23010, Research Institute of Economy, Trade and Industry (RIETI).
    16. Anup Malani & Cynthia Kinnan & Gabriella Conti & Kosuke Imai & Morgen Miller & Shailender Swaminathan & Alessandra Voena & Bartosz Woda, 2024. "Evaluating pricing health insurance in lower-income countries: A field experiment in India," IFS Working Papers W24/33, Institute for Fiscal Studies.
    17. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    18. Anell, Anders & Dietrichson, Jens & Ellegård, Lina Maria & Kjellsson, Gustav, 2022. "Well-Informed Choices? Effects of Information Interventions in Primary Care on Care Quality," Working Papers 2022:2, Lund University, Department of Economics.
    19. Mindy Marks & Moonkyung Kate Choi, 2019. "Baby Boomlets and Baby Health: Hospital Crowdedness, Hospital Spending, and Infant Health," American Journal of Health Economics, University of Chicago Press, vol. 5(3), pages 376-406, Summer.
    20. Rhys Llewellyn Thomas & Emmanouil Mentzakis, 2024. "The direct and spillover effects of diabetes diagnosis on lifestyle behaviours," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 952-970, May.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:nbr:nberwo:26363. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.