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Predictability of pharmaceutical spending in primary health services using Clinical Risk Groups

Author

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  • Vivas-Consuelo, David
  • Usó-Talamantes, Ruth
  • Trillo-Mata, José Luis
  • Caballer-Tarazona, Maria
  • Barrachina-Martínez, Isabel
  • Buigues-Pastor, Laia

Abstract

Risk adjustment instruments applied to existing electronic health records and administrative datasets may contribute to monitoring the correct prescribing of medicines.

Suggested Citation

  • Vivas-Consuelo, David & Usó-Talamantes, Ruth & Trillo-Mata, José Luis & Caballer-Tarazona, Maria & Barrachina-Martínez, Isabel & Buigues-Pastor, Laia, 2014. "Predictability of pharmaceutical spending in primary health services using Clinical Risk Groups," Health Policy, Elsevier, vol. 116(2), pages 188-195.
    • Handle: RePEc:eee:hepoli:v:116:y:2014:i:2:p:188-195
    DOI: 10.1016/j.healthpol.2014.01.012
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    References listed on IDEAS

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    1. Vivas, David & Guadalajara, Natividad & Barrachina, Isabel & Trillo, José-Luis & Usó, Ruth & de-la-Poza, Elena, 2011. "Explaining primary healthcare pharmacy expenditure using classification of medications for chronic conditions," Health Policy, Elsevier, vol. 103(1), pages 9-15.
    2. Leena Saastamoinen & Jouko Verho, 2013. "Drug expenditure of high-cost patients and their characteristics in Finland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 495-502, June.
    3. Manuel García-Goñi & Pere Ibern & José Inoriza, 2009. "Hybrid risk adjustment for pharmaceutical benefits," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(3), pages 299-308, July.
    4. Manuel García-Goñi & Pere Ibern & José María Inoriza, 2009. "Hybrid risk adjustment for pharmaceutical benefits," Working Papers, Research Center on Health and Economics 1139, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Lamers, Leida M. & van Vliet, Rene C. J. A., 2004. "The Pharmacy-based Cost Group model: validating and adjusting the classification of medications for chronic conditions to the Dutch situation," Health Policy, Elsevier, vol. 68(1), pages 113-121, April.
    6. Manuel García‐Goñi & Pere Ibern, 2008. "Predictability of drug expenditures: an application using morbidity data," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 119-126, January.
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    Cited by:

    1. Ruth Usó-Talamantes & Silvia González-de-Julián & Javier Díaz-Carnicero & Inmaculada Saurí-Ferrer & José Luis Trillo-Mata & Marc Carrasco-Pérez & Jorge Navarro-Pérez & José Luis Górriz & David Vivas-C, 2021. "Cost of Type 2 Diabetes Patients with Chronic Kidney Disease Based on Real-World Data: An Observational Population-Based Study in Spain," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    2. Maria Consuelo Company-Sancho & Víctor M. González-Chordá & María Isabel Orts-Cortés, 2022. "Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)," IJERPH, MDPI, vol. 19(7), pages 1-13, April.
    3. Caballer-Tarazona, Vicent & Guadalajara-Olmeda, Natividad & Vivas-Consuelo, David, 2019. "Predicting healthcare expenditure by multimorbidity groups," Health Policy, Elsevier, vol. 123(4), pages 427-434.

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