IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26360.html
   My bibliography  Save this paper

Can Diffuse Delivery System Reforms Improve Population Health? A Study of the State Innovation Models Initiative

Author

Listed:
  • Partha Deb
  • Anjelica Gangaram
  • Hoda Khajavi

Abstract

We examine the effects of the State Innovation Models (SIM) on population-level health status. The SIM initiative provided $250 million to six states in 2013 for delivery system reforms. We use data from the Behavioral Risk Factor Surveillance System for the years 2010 -- 2016 to compare health of the populations in 6 SIM states to 15 states that were not involved in any aspects of SIM. We examine changes in health using an event study design. We develop a Latent Class Profile model that takes multiple measures of latent health into a common, latent health status to study the effect of the intervention. Such models can yield informative estimates where separate estimation of measures do not. We find that individuals in states that implemented SIM saw significant improvements in health across a number policy-relevant subpopulations.

Suggested Citation

  • Partha Deb & Anjelica Gangaram & Hoda Khajavi, 2019. "Can Diffuse Delivery System Reforms Improve Population Health? A Study of the State Innovation Models Initiative," NBER Working Papers 26360, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:26360
    Note: EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26360.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    2. France Portrait & Maarten Lindeboom & Dorly Deeg, 1999. "Health and mortality of the elderly: the grade of membership method, classification and determination," Health Economics, John Wiley & Sons, Ltd., vol. 8(5), pages 441-458, August.
    3. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    4. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
    5. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    6. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    7. Hwan Chung & James C. Anthony & Joseph L. Schafer, 2011. "Latent class profile analysis: an application to stage sequential processes in early onset drinking behaviours," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 689-712, July.
    8. Elena Erosheva, 2005. "Comparing Latent Structures of the Grade of Membership, Rasch, and Latent Class Models," Psychometrika, Springer;The Psychometric Society, vol. 70(4), pages 619-628, December.
    Full references (including those not matched with items on IDEAS)

    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. Deb, Partha & Gangaram, Anjelica & Khajavi, Hoda Nouri, 2021. "The impact of the State Innovation Models Initiative on population health," Economics & Human Biology, Elsevier, vol. 42(C).
    2. Puhani, Patrick A. & Sonderhof, Katja, 2010. "The effects of a sick pay reform on absence and on health-related outcomes," Journal of Health Economics, Elsevier, vol. 29(2), pages 285-302, March.
    3. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    4. repec:hal:psewpa:halshs-00590524 is not listed on IDEAS
    5. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    6. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    7. Ruth Hancock & Marcello Morciano & Stephen Pudney & Francesca Zantomio, 2015. "Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 815-836, October.
    8. Quitterie Roquebert & Jonathan Sicsic & Thomas Rapp, 2021. "Health measures and long-term care use in the European frail population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 405-423, April.
    9. Sandy Tubeuf & Marc Perronnin, 2008. "New prospects in the analysis of inequalities in health: a measurement of health encompassing several dimensions of health," Health, Econometrics and Data Group (HEDG) Working Papers 08/01, HEDG, c/o Department of Economics, University of York.
    10. Cameron D. Miller & Richard D. Wang, 2024. "Product digitization and differentiation strategy change: Evidence from the book publishing industry," Strategic Management Journal, Wiley Blackwell, vol. 45(7), pages 1241-1272, July.
    11. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    12. Lota D. Tamini & Aristide B. Valéa, 2021. "Investment in research and development and export performances of Canadian small and medium‐sized agri‐food firms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 311-336, September.
    13. Au, N. & Johnston, D. W., 2013. "An econometric analysis of self-assessed health: what does it mean and what is it hiding?," Health, Econometrics and Data Group (HEDG) Working Papers 13/31, HEDG, c/o Department of Economics, University of York.
    14. Harris, Matthew & Kohn, Jennifer, 2015. "Reference dependent utility from health and the demand for medical care," MPRA Paper 61926, University Library of Munich, Germany.
    15. Ciani Emanuele & Fisher Paul, 2019. "Dif-in-Dif Estimators of Multiplicative Treatment Effects," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-10, January.
    16. Joan Costa-i-Font & Nilesh Raut, 2021. "Long-Term Care Partnership Effects on Medicaid and Private Insurance," CESifo Working Paper Series 9335, CESifo.
    17. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    18. Barkowski, Scott, 2021. "Interpretation of nonlinear difference-in-differences: the role of the parallel trends assumption," MPRA Paper 108975, University Library of Munich, Germany.
    19. Na Li & Richard J. Vyn & Ken McEwan, 2016. "To Invest or Sell? The Impacts of Ontario’s Greenbelt on Farm Exit and Investment Decisions," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 389-412.
    20. Michael Lokshin & Martin Ravallion, 2008. "Testing for an economic gradient in health status using subjective data," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1237-1259, November.
    21. Virgi A. Sari, 2019. "Educational Assistance and Education Quality in Indonesia: The Role of Decentralization," Population and Development Review, The Population Council, Inc., vol. 45(S1), pages 123-154, December.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:26360. 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.