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Variability in Healthcare Expenditure According to the Stratification of Adjusted Morbidity Groups in the Canary Islands (Spain)

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  • Maria Consuelo Company-Sancho

    (Health Promotion Service, Directorate General for Public Health, Canary Islands Health Service, 35003 Las Palmas de Gran Canaria, Spain
    Nursing and Healthcare Research Unit (Investén-isciii), Institute of Health Carlos III, 28029 Madrid, Spain)

  • Víctor M. González-Chordá

    (Nursing Department, Universitat Jaume I, Avda Sos Baynat s/n, 12071 Castellon, Spain)

  • María Isabel Orts-Cortés

    (Nursing and Healthcare Research Unit (Investén-isciii), Institute of Health Carlos III, 28029 Madrid, Spain
    Department of Nursing, University of Alicante (BALMIS), Alicante Institute for Health and Biomedical Research (ISABIAL), 03690 Alicante, Spain
    CIBER of Frailty and Healthy Ageing, (CIBERFES) Institute of Health Carlos III, 28029 Madrid, Spain)

Abstract

Morbidity is the main item in the distribution of expenditure on healthcare services. The Adjusted Morbidity Group (AMG) measures comorbidity and complexity and classifies the patient into mutually exclusive clinical categories. The aim of this study is to analyse the variability of healthcare expenditure on users with similar scores classified by the AMG. Observational analytical and retrospective study. Population: 1,691,075 subjects, from Canary Islands (Spain), aged over 15 years with data from health cards, clinical history, Basic Minimum Specialised Healthcare Data Set, AMG, hospital agreements information system and Electronic Prescriptions. A descriptive, bivariant (ANOVA coefficient η 2 ) and multivariant analysis was conducted. There is a correlation between the costs and the weight of AMG (rho = 0.678) and the prescribed active ingredients (rho = 0.689), which is smaller with age and does not exist with the other variables. As for the influence of the AMG morbidity group on the total costs of the patient, the coefficient η 2 (0.09) obtains a median effect in terms of the variability of expenditure, hence there is intra- and inter-group variability in the cost. In a first model created with all the variables and the cost, an explanatory power of 36.43% (R 2 = 0.3643) was obtained; a second model that uses solely active ingredients, AMG weight, being female and a pensioner obtained an explanatory power of 36.4%. There is room for improvement in terms of predicting the expenditure.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4219-:d:785384
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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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