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What Drives Patient Mobility Across Italian Regions? Evidence from Hospital Discharge Data

In: Health Care Provision and Patient Mobility

Author

Listed:
  • Silvia Balia

    (University of Cagliari and CRENoS)

  • Rinaldo Brau

    (University of Cagliari and CRENoS)

  • Emanuela Marrocu

    (University of Cagliari and CRENoS)

Abstract

This chapter examines patient mobility across Italian regions using data on hospital discharges that occurred in 2008. The econometric analysis is based on Origin–Destination (OD) flow data. Since patient mobility is a crucial phenomenon in contexts of hospital competition based on quality and driven by patient choice, as is the case in Italy, it is crucial to understand its determinants. What makes the Italian case more interesting is the decentralization of the National Health Service that yields large regional variation in patient flows in favor of Centre-Northern regions, which typically are ‘net exporters’ of hospital treatments. We present results from gravity models estimated using count data estimators, for total and specific types of flows (ordinary admissions, surgical DRGs and medical DRGs). We model cross-section dependence by specifically including features other than geographical distance for OD pairs, such as past migration flows and the share of surgical DRGs. Most of the explanatory variables exhibit the expected effect, with distance and GDP per capita at origin showing a negative impact on patient outflows. Past migrations and indicators of performance at destination are effective determinants of patient mobility. Moreover, we find evidence of regional externalities due to spatial proximity effects at both origin and destination.

Suggested Citation

  • Silvia Balia & Rinaldo Brau & Emanuela Marrocu, 2014. "What Drives Patient Mobility Across Italian Regions? Evidence from Hospital Discharge Data," Developments in Health Economics and Public Policy, in: Rosella Levaggi & Marcello Montefiori (ed.), Health Care Provision and Patient Mobility, edition 127, pages 133-154, Springer.
  • Handle: RePEc:spr:dehchp:978-88-470-5480-6_6
    DOI: 10.1007/978-88-470-5480-6_6
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    Citations

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    Cited by:

    1. Mattia Altini & Laura Solinas & Lauro Bucchi & Nicola Gentili & Davide Gallegati & William Balzi & Fabio Falcini & Ilaria Massa, 2020. "Assessment of Cancer Care Costs in Disease-Specific Cancer Care Pathways," IJERPH, MDPI, vol. 17(13), pages 1-13, July.
    2. Amerigo Ferrari & Chiara Seghieri & Andrea Giannini & Paolo Mannella & Tommaso Simoncini & Milena Vainieri, 2023. "Driving time drives the hospital choice: choice models for pelvic organ prolapse surgery in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1575-1586, December.
    3. Chiara Seghieri & Martina Calovi & Francesca Ferrè, 2018. "Proximity and waiting times in choice models for outpatient cardiological visits in Italy," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    4. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 63-77, September.
    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. Michele Bisceglia & Roberto Cellini & Luca Grilli, 2019. "Quality Competition in Healthcare Services with Regional Regulators: A Differential Game Approach," Dynamic Games and Applications, Springer, vol. 9(1), pages 1-23, March.
    7. Michele Bisceglia & Roberto Cellini & Luca Grilli, 2018. "Regional regulators in health care service under quality competition: A game theoretical model," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1821-1842, November.
    8. Boffardi, Raffaele, 2022. "How efficient is the Italian health system? Evidence on the role of political-institutional dynamics," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    9. 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).

    More about this item

    Keywords

    Hospital admissions; Bilateral flows; Gravity model; Cross-section dependence;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H4 - Public Economics - - Publicly Provided Goods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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