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Choice of hospital and long-distances: Evidence from Italy

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  • Balia, Silvia
  • Brau, Rinaldo
  • Moro, Daniela

Abstract

Long-distance hospitalizations may represent an important phenomenon, especially with severe pathologies. In this work, we investigate patients’ elective admissions for cancers of the digestive system distinguishing between “local” hospitals (located in the region of residence) and “distant” hospitals (located in long-distances non-boundary regions). We model patient mobility towards alternative hospitals as a discrete choice process determined by geographical distance, clinical quality and other hospital-level characteristics and control for patients’ heterogeneity. We exploit data on admissions of patients residing in insular Italy, occurred in 2013 either locally or in central-northern hospitals, and estimate a willingness to travel of at least 14 ​km to be cured in a distant hospital for a quality increase from the 75th to the 25th percentile. Higher values are found for younger and more educated patients. Clinical quality does not affect the choice of local hospitals. Hospital choice significantly depends on characteristics that proxy hospital attractiveness, with differences between local and distant providers: commitment to research and private ownership show a positive role only for the latter.

Suggested Citation

  • Balia, Silvia & Brau, Rinaldo & Moro, Daniela, 2020. "Choice of hospital and long-distances: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:regeco:v:81:y:2020:i:c:s0166046219302522
    DOI: 10.1016/j.regsciurbeco.2019.103502
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    Cited by:

    1. Martini, Gianmaria & Levaggi, Rosella & Spinelli, Daniele, 2022. "Is there a bias in patient choices for hospital care? Evidence from three Italian regional health systems," Health Policy, Elsevier, vol. 126(7), pages 668-679.
    2. Berta, Paolo & Guerriero, Carla & Levaggi, Rosella, 2021. "Hospitals’ strategic behaviours and patient mobility: Evidence from Italy," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    3. Cristian Barra & Raffaele Lagravinese & Roberto Zotti, 2022. "Exploring hospital efficiency within and between Italian regions: new empirical evidence," Journal of Productivity Analysis, Springer, vol. 57(3), pages 269-284, June.
    4. Rubino, Claudio & Di Maria, Chiara & Abbruzzo, Antonino & Ferrante, Mauro, 2022. "Socio-economic inequality, interregional mobility and mortality among cancer patients: A mediation analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    5. Lippi Bruni, Matteo & Ugolini, Cristina & Verzulli, Rossella, 2021. "Should I wait or should I go? Travelling versus waiting for better healthcare," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    6. Giovanni Guarducci & Gabriele Messina & Simona Carbone & Andrea Urbani & Nicola Nante, 2022. "Inter-Regional Patients’ Migration for Hospital Orthopedic Intensive Rehabilitation: The Italian Experience," IJERPH, MDPI, vol. 19(21), pages 1-11, October.
    7. Milcent, Carine, 2023. "The sorting effect in healthcare access: Those left behind," Economics & Human Biology, Elsevier, vol. 51(C).
    8. Ferré, Francesca & Seghieri, Chiara & Nuti, Sabina, 2023. "Women's choices of hospital for breast cancer surgery in Italy: Quality and equity implications," Health Policy, Elsevier, vol. 131(C).
    9. Elisabetta Listorti & Arianna Alfieri & Erica Pastore, 2022. "Hospital volume allocation: integrating decision maker and patient perspectives," Health Care Management Science, Springer, vol. 25(2), pages 237-252, June.
    10. Yu Yang & Yong Wang, 2022. "Analysis of the Characteristics of Cross-Regional Patient Groups and Differences in Hospital Service Utilization in Beijing," IJERPH, MDPI, vol. 19(6), pages 1-15, March.

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    More about this item

    Keywords

    Hospital choice; Access to care; Distance; Quality of care; Patient mobility;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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