IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v31y2022i3p443-465.html
   My bibliography  Save this article

Technology adoption by primary care physicians

Author

Listed:
  • Tor Iversen
  • Ching‐to Albert Ma

Abstract

We study primary care physicians' prevention and monitoring technology adoption. Physicians' adoption decisions are based on benefits and costs, which depend on payment incentives, educational assistance, and market characteristics. The empirical study uses national Norwegian register and physician claims data between 2009 and 2014. In 2006, a new annual comprehensive checkup for Type 2 diabetic patients was introduced. A physician collects a fee for each checkup. In 2013, an education assistance program was introduced in two Norwegian counties. We estimate adoption decisions by fixed‐effect regressions, and two‐part and hazard models. We use a difference‐in‐difference model to estimate the education program impact. Fixed‐effect estimations and separate analyses of physicians who have moved between municipalities support a peer effect. The education program has a strongly positive effect, which is positively associated with a physician's number of diabetic patients, and the fraction of physician‐adopters in the same market.

Suggested Citation

  • Tor Iversen & Ching‐to Albert Ma, 2022. "Technology adoption by primary care physicians," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 443-465, March.
    • Handle: RePEc:wly:hlthec:v:31:y:2022:i:3:p:443-465
    DOI: 10.1002/hec.4447
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4447
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.4447?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    2. Baker, Laurence C., 2001. "Managed care and technology adoption in health care: evidence from magnetic resonance imaging," Journal of Health Economics, Elsevier, vol. 20(3), pages 395-421, May.
    3. Klausen, Liv Marit & Olsen, Trond E. & Risa, Alf Erling, 1992. "Technological diffusion in primary health care," Journal of Health Economics, Elsevier, vol. 11(4), pages 439-452, December.
    4. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    5. David Molitor, 2018. "The Evolution of Physician Practice Styles: Evidence from Cardiologist Migration," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 326-356, February.
    6. Damian Clarke & Joseph P. Romano & Michael Wolf, 2020. "The Romano–Wolf multiple-hypothesis correction in Stata," Stata Journal, StataCorp LP, vol. 20(4), pages 812-843, December.
    7. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, March.
    8. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    9. Jill R. Horwitz & Charleen Hsuan & Austin Nichols, 2018. "The Role of Hospital and Market Characteristics in Invasive Cardiac Service Diffusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(1), pages 81-115, August.
    10. L. F. Andrade & T. Rapp & C. Sevilla-Dedieu, 2018. "Quality of diabetes follow-up care and hospital admissions," International Journal of Health Economics and Management, Springer, vol. 18(2), pages 153-167, June.
    11. Katharina Elisabeth Blankart & Tom Stargardt, 2020. "The impact of drug quality ratings from health technology assessments on the adoption of new drugs by physicians in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 63-82, October.
    12. Iversen, Tor & Lurås, Hilde, 2011. "Patient switching in general practice," Journal of Health Economics, Elsevier, vol. 30(5), pages 894-903.
    13. Anthony Scott & Stefanie Schurer & Paul H. Jensen & Peter Sivey, 2009. "The effects of an incentive program on quality of care in diabetes management," Health Economics, John Wiley & Sons, Ltd., vol. 18(9), pages 1091-1108, September.
    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. Jin, Xiaoyu & Xiao, Fu & Zhang, Chong & Chen, Zhijie, 2022. "Semi-supervised learning based framework for urban level building electricity consumption prediction," Applied Energy, Elsevier, vol. 328(C).
    2. Jungo, Katharina Tabea & Salari, Paola & Meier, Rahel & Bagattini, Michael & Spruit, Marco & Rodondi, Nicolas & Streit, Sven & Schwenkglenks, Matthias, 2024. "Cost-effectiveness of a medication review intervention for general practitioners and their multimorbid older patients with polypharmacy," Socio-Economic Planning Sciences, Elsevier, vol. 92(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. Iversen, Tor & Ching-to , Albert Ma, 2020. "Technology Adoption in Primary Health Care," HERO Online Working Paper Series 2020:4, University of Oslo, Health Economics Research Programme.
    2. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    3. Yuheng Lin & Dooruj Rambaccussing & Yu Zhu, 2024. "The impact of international students in the UK on the cultural goods trade," French Stata Users' Group Meetings 2024 29, Stata Users Group.
    4. Carrieri, Vincenzo & Madio, Leonardo & Principe, Francesco, 2019. "Light cannabis and organized crime: Evidence from (unintended) liberalization in Italy," European Economic Review, Elsevier, vol. 113(C), pages 63-76.
    5. Cain Polidano & Justin van de Ven & Sarah Voitchovsky, 2017. "The Power of Self-Interest: Effects of Education and Training Entitlements in Later-Life," Melbourne Institute Working Paper Series wp2017n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    7. Kümpel, Christian & Schneider, Udo, 2020. "Additional reimbursement for outpatient physicians treating nursing home residents reduces avoidable hospital admissions: Results of a reimbursement change in Germany," Health Policy, Elsevier, vol. 124(4), pages 470-477.
    8. Pérez, Jorge & Vial, Felipe & Zárate, Román, 2022. "Urban Transit Infrastructure: Spatial Mismatch and Labor Market Power," Research Department working papers 1992, CAF Development Bank Of Latinamerica.
    9. Carpenter, Christopher S. & Churchill, Brandyn F. & Marcus, Michelle, 2023. "Bad lighting: Effects of youth indoor tanning prohibitions," Journal of Health Economics, Elsevier, vol. 88(C).
    10. Dana C. Andersen, 2016. "Credit Constraints, Technology Upgrading, and the Environment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(2), pages 283-319.
    11. Cristiano Antonelli, 2017. "The Engines of the Creative Response: Reactivity and Knowledge Governance," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 47(2), pages 9-30, Julio-Dic.
    12. Feinberg Robert M. & Kuehn Daniel, 2018. "Guaranteed Nonlabor Income and Labor Supply: The Effect of the Alaska Permanent Fund Dividend," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(3), pages 1-13, July.
    13. Edo, Anthony & Rapoport, Hillel, 2019. "Minimum wages and the labor market effects of immigration," Labour Economics, Elsevier, vol. 61(C).
    14. Meinhofer, Angélica & Witman, Allison E. & Hinde, Jesse M. & Simon, Kosali, 2021. "Marijuana liberalization policies and perinatal health," Journal of Health Economics, Elsevier, vol. 80(C).
    15. George J. Borjas, 2021. "The Wage Impact Of The Marielitos: A Reappraisal," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 12, pages 375-408, World Scientific Publishing Co. Pte. Ltd..
    16. Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Dec 2022.
    17. Burlig, Fiona & Preonas, Louis & Woerman, Matt, 2020. "Panel data and experimental design," Journal of Development Economics, Elsevier, vol. 144(C).
    18. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    19. Lauren E. Jones & Nicolas R. Ziebarth, 2017. "U.S. Child Safety Seat Laws: Are they Effective, and Who Complies?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(3), pages 584-607, June.
    20. Hasan, Iftekhar & Noth, Felix & Tonzer, Lena, 2023. "Cultural norms and corporate fraud: Evidence from the Volkswagen scandal," Journal of Corporate Finance, Elsevier, vol. 82(C).

    More about this item

    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:wly:hlthec:v:31:y:2022:i:3:p:443-465. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.