IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/11218.html
   My bibliography  Save this paper

Socioeconomic Differences in the Adoption of New Medical Technologies

Author

Listed:
  • Dana Goldman
  • James P. Smith

Abstract

New medical technologies hold tremendous promise for improving population health, but they also raise concerns about exacerbating already large differences in health by socioeconomic status (SES). If effective treatments are more rapidly adopted by the better educated, SES health disparities may initially expand even though the health of those in all groups eventually improves. Hypertension provides a useful case study. It is an important risk factor for developing cardiovascular disease, the condition is relatively common, and there are large differences in rates of hypertension by education. This paper examines the short and long-term diffusion of two important classes of anti-hypertensives - ACE inhibitors and calcium channel blockers - over the last twenty-five years. Using three prominent medical surveys, we find no evidence that the diffusion of these drugs into medical practice favored one education group relative to another. The findings suggest that - at least for hypertension - SES differences in the adoption of new medical technologies are not an important reason for the SES health gradient.

Suggested Citation

  • Dana Goldman & James P. Smith, 2005. "Socioeconomic Differences in the Adoption of New Medical Technologies," NBER Working Papers 11218, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:11218
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w11218.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dana P. Goldman & James P. Smith, 2004. "Can Patient Self-Management Help Explain the SES Health Gradient?," HEW 0403004, University Library of Munich, Germany.
    2. James P. Smith, 1999. "Healthy Bodies and Thick Wallets: The Dual Relation between Health and Economic Status," Journal of Economic Perspectives, American Economic Association, vol. 13(2), pages 145-166, Spring.
    3. James Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
    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. Anderberg, Dan & Chevalier, Arnaud & Wadsworth, Jonathan, 2011. "Anatomy of a health scare: Education, income and the MMR controversy in the UK," Journal of Health Economics, Elsevier, vol. 30(3), pages 515-530, May.
    2. Huerta, Maria C. & Borgonovi, Francesca, 2010. "Education, alcohol use and abuse among young adults in Britain," Social Science & Medicine, Elsevier, vol. 71(1), pages 143-151, July.
    3. Lambrelli D & O’Donnell O, 2009. "Why Does the Utilization of Pharmaceuticals Vary So Much Across Europe? Evidence from Micro Data on Older Europeans," Health, Econometrics and Data Group (HEDG) Working Papers 09/06, HEDG, c/o Department of Economics, University of York.
    4. Sansani, Shahar, 2011. "The effects of school quality on long-term health," Economics of Education Review, Elsevier, vol. 30(6), pages 1320-1333.
    5. James P. Smith, 2009. "Comment on "Is the US Population Behaving Healthier?"," NBER Chapters, in: Social Security Policy in a Changing Environment, pages 442-446, National Bureau of Economic Research, Inc.
    6. Vaalavuo, Maria, 2021. "The unequal impact of ill health: Earnings, employment, and mental health among breast cancer survivors in Finland," Labour Economics, Elsevier, vol. 69(C).
    7. Barış Alpaslan & Julide Yildirim, 2020. "The Missing Link: Are Individuals with More Social Capital in Better Health? Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 811-834, August.
    8. Schnittker, Jason & Karandinos, George, 2010. "Methuselah's medicine: Pharmaceutical innovation and mortality in the United States, 1960-2000," Social Science & Medicine, Elsevier, vol. 70(7), pages 961-968, April.
    9. Marisa E. Domino, 2012. "Does managed care affect the diffusion of psychotropic medications?," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 428-443, April.
    10. Binswanger, J. & Carman, K.G., 2011. "The Role of Desicion Making Processes in the Correlation between Wealth and Health," Other publications TiSEM deb8d0eb-7290-4a34-931b-d, Tilburg University, School of Economics and Management.
    11. Francesca Borgonovi & Artur Pokropek, 2016. "Education and Self-Reported Health: Evidence from 23 Countries on the Role of Years of Schooling, Cognitive Skills and Social Capital," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
    12. Lenisa V. Chang, 2018. "Information, education, and health behaviors: Evidence from the MMR vaccine autism controversy," Health Economics, John Wiley & Sons, Ltd., vol. 27(7), pages 1043-1062, July.
    13. Jürgen Maurer, 2008. "Assessing horizontal equity in medication treatment among elderly Mexicans: which socioeconomic determinants matter most?," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1153-1169, October.
    14. Jürgen Maurer, 2007. "Assessing Horizontal Equity in Medication Treatment Among Elderly Mexicans: Which Socioeconomic Determinants Matter Most?," MEA discussion paper series 07143, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    15. Frankovic, Ivan & Kuhn, Michael, 2019. "Access to health care, medical progress and the emergence of the longevity gap: A general equilibrium analysis," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).

    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. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    2. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, pages 1044-1056.
    3. Hernández-Quevedo, Cristina & Jones, Andrew M. & Rice, Nigel, 2008. "Persistence in health limitations: A European comparative analysis," Journal of Health Economics, Elsevier, vol. 27(6), pages 1472-1488, December.
    4. James Smith, 2004. "Unravelling the SES health connection," IFS Working Papers W04/02, Institute for Fiscal Studies.
    5. Buckley, Neil J. & Denton, Frank T. & Leslie Robb, A. & Spencer, Byron G., 2004. "The transition from good to poor health: an econometric study of the older population," Journal of Health Economics, Elsevier, vol. 23(5), pages 1013-1034, September.
    6. repec:ran:wpaper:774 is not listed on IDEAS
    7. Ma, Yuanyuan & Nolan, Anne & Smith, James P., 2018. "The value of education to health: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 31(C), pages 14-25.
    8. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    9. Jürgen Maurer, 2007. "Modelling socioeconomic and health determinants of health care use: A semiparametric approach," MEA discussion paper series 07145, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Beomsoo Kim & Christopher J. Ruhm, 2012. "Inheritances, health and death," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 127-144, February.
    11. James Smith, 2005. "Consequences and Predictors of New Health Events," NBER Chapters, in: Analyses in the Economics of Aging, pages 213-240, National Bureau of Economic Research, Inc.
    12. Adam Wagstaff & Magnus Lindelow, 2014. "Are Health Shocks Different? Evidence From A Multishock Survey In Laos," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 706-718, June.
    13. Poterba, James & Venti, Steven & Wise, David A., 2018. "Longitudinal determinants of end-of-life wealth inequality," Journal of Public Economics, Elsevier, vol. 162(C), pages 78-88.
    14. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    15. James M. Poterba & Steven F. Venti & David A. Wise, 2011. "Were They Prepared for Retirement? Financial Status at Advanced Ages in the HRS and AHEAD Cohorts," NBER Chapters, in: Investigations in the Economics of Aging, pages 21-69, National Bureau of Economic Research, Inc.
    16. Joan Costa-i-Font & Cristina Hernandez-Quevedo & Azusa Sato, 2013. "A 'Health Kuznets' Curve'? Cross-Country and Longitudinal Evidence," CESifo Working Paper Series 4446, CESifo.
    17. Andrew M. Jones & Eddy Van Doorslaer & Teresa Bago D’Uva & Silvia Balia & Lynn Gambin & Cristina Hernández Quevedo & Xander Koolman & Nigel Rice, 2006. "Health and Wealth: Empirical Findings and Political Consequences," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 93-112, May.
    18. Sansani, Shahar, 2011. "The effects of school quality on long-term health," Economics of Education Review, Elsevier, vol. 30(6), pages 1320-1333.
    19. Zheng, Hui & George, Linda K., 2012. "Rising U.S. income inequality and the changing gradient of socioeconomic status on physical functioning and activity limitations, 1984–2007," Social Science & Medicine, Elsevier, vol. 75(12), pages 2170-2182.
    20. Poterba, James M. & Venti, Steven F. & Wise, David A., 2017. "The asset cost of poor health," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 172-184.
    21. Lundborg, Petter & Nilsson, Martin & Vikström, Johan, 2011. "Socioeconomic Heterogeneity in the Effect of Health Shocks on Earnings. Evidence from Population-Wide Data on Swedish Workers," Working Paper Series, Center for Labor Studies 2011:19, Uppsala University, Department of Economics.

    More about this item

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • H0 - Public Economics - - General

    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:11218. 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.