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Automatic Assessment of Socioeconomic Impact on Cardiac Rehabilitation

Author

Listed:
  • Mireia Calvo

    (Cardiac Electrophysiology Unit, Hospital Clínic Universitari de Barcelona, Villarroel, 170, Barcelona 08036, Spain
    Part of this work was completed while at Barcelona Digital Technology Centre.)

  • Laia Subirats

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, Barcelona 08018, Spain
    Universitat Autònoma de Barcelona, Campus UAB, Bellaterra 08193, Spain)

  • Luigi Ceccaroni

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, Barcelona 08018, Spain)

  • José María Maroto

    (Cardiac Rehabilitation Unit, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain)

  • Carmen De Pablo

    (Cardiac Rehabilitation Unit, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain)

  • Felip Miralles

    (Barcelona Digital Technology Centre, Roc Boronat, 117, 5th floor, Barcelona 08018, Spain)

Abstract

Disability-Adjusted Life Years (DALYs) and Quality-Adjusted Life Years (QALYs), which capture life expectancy and quality of the remaining life-years, are applied in a new method to measure socioeconomic impacts related to health. A 7-step methodology estimating the impact of health interventions based on DALYs, QALYs and functioning changes is presented. It relates the latter (1) to the EQ-5D-5L questionnaire (2) to automatically calculate the health status before and after the intervention (3). This change of status is represented as a change in quality of life when calculating QALYs gained due to the intervention (4). In order to make an economic assessment, QALYs gained are converted to DALYs averted (5). Then, by inferring the cost/DALY from the cost associated to the disability in terms of DALYs lost (6) and taking into account the cost of the action, cost savings due to the intervention are calculated (7) as an objective measure of socioeconomic impact. The methodology is implemented in Java. Cases within the framework of cardiac rehabilitation processes are analyzed and the calculations are based on 200 patients who underwent different cardiac-rehabilitation processes. Results show that these interventions result, on average, in a gain in QALYs of 0.6 and a cost savings of 8,000 €.

Suggested Citation

  • Mireia Calvo & Laia Subirats & Luigi Ceccaroni & José María Maroto & Carmen De Pablo & Felip Miralles, 2013. "Automatic Assessment of Socioeconomic Impact on Cardiac Rehabilitation," IJERPH, MDPI, vol. 10(11), pages 1-18, October.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:11:p:5266-5283:d:29860
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    References listed on IDEAS

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    1. Laia Subirats & Luigi Ceccaroni & Felip Miralles, 2012. "Knowledge Representation for Prognosis of Health Status in Rehabilitation," Future Internet, MDPI, vol. 4(3), pages 1-14, August.
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    Cited by:

    1. Laia Subirats & Jordi Conesa & Manuel Armayones, 2020. "Biomedical Holistic Ontology for People with Rare Diseases," IJERPH, MDPI, vol. 17(17), pages 1-11, August.

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