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What Difference Does a Diagnosis Make? Evidence from Marginal Patients

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  • 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.

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  • 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
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    References listed on IDEAS

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    Cited by:

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    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. 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).
    9. Krista Riukula, 2023. "The effects of screening for gestational diabetes," Empirical Economics, Springer, vol. 65(4), pages 1931-1964, October.
    10. 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.
    11. 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.

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    More about this item

    JEL classification:

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

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