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Technology and managed care: patient benefits of telemedicine in a rural health care network

  • Matthew Berman

    (Institute of Social and Economic Research, University of Alaska Anchorage, USA)

  • Andrea Fenaughty

    (Division of Public Health, State of Alaska, USA)

Registered author(s):

    Rural health providers have looked to telemedicine as a technology to reduce costs. However, virtual access to physicians and specialists may alter patients' demand for face-to-face physician access. We develop a model of service demand under managed care, and apply the model to a telemedicine application in rural Alaska. Provider-imposed delays and patient costs were highly significant predictors of patient contingent choices in a survey of ENT clinic patients. The results suggest that telemedicine increased estimated patient benefits by about $40 per visit, and reduced patients' loss from rationing of access to physicians by about 20%. Copyright © 2004 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.952
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    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 14 (2005)
    Issue (Month): 6 ()
    Pages: 559-573

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    Handle: RePEc:wly:hlthec:v:14:y:2005:i:6:p:559-573
    Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    1. Mandy Ryan & Fernando San Miguel, 2003. "Revisiting the axiom of completeness in health care," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 295-307.
    2. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
    3. Lee, Lung-Fei, 1982. "Some Approaches to the Correction of Selectivity Bias," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 355-72, July.
    4. Winkelmann, Rainer, 2001. "Health Care Reform and the Number of Doctor Visits - An Econometric Analysis," CEPR Discussion Papers 3021, C.E.P.R. Discussion Papers.
    5. Susan M. Capalbo & Christine N. Heggem, 1999. "Valuing Rural Health Care: Issues of Access and Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 674-679.
    6. Ulla Slothuus Skjoldborg & Dorte Gyrd-Hansen, 2003. "Conjoint analysis. The cost variable: an Achilles' heel?," Health Economics, John Wiley & Sons, Ltd., vol. 12(6), pages 479-491.
    7. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    8. Gurmu, Shiferaw, 1997. "Semi-Parametric Estimation of Hurdle Regression Models with an Application to Medicaid Utilization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 225-43, May-June.
    9. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
    10. Harvey S. Rosen & Kenneth A. Small, 1979. "Applied Welfare Economics with Discrete Choice Models," NBER Working Papers 0319, National Bureau of Economic Research, Inc.
    11. Nancy E. Bockstael, 1999. "The Use of Random Utility in Modeling Rural Health Care Demand: Discussion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 692-695.
    12. Jaume Puig‐Junoy & Marc Saez & Esther Martínez‐García, 1998. "Why do patients prefer hospital emergency visits? A nested multinomial logit analysis for patient‐initiated contacts," Health Care Management Science, Springer, vol. 1(1), pages 39-52, September.
    13. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-55, March-Apr.
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