Evaluación comparativa del desempeño sanitario en países de la OCDE mediante el índice GOWLAD: un enfoque de agregación logarítmica y lógica difusa

Authors

DOI:

https://doi.org/10.33110/inceptum.v20i39.510

Keywords:

agregación logarítmica, desempeño del sistema de salud, lógica difusa, OCDE, política sanitaria

Abstract

This study analyzes structural disparities in the performance of OECD health systems from 2000 to 2021 using the GOWLAD* index (Generalized Ordered Weighted Logarithmic Aggregated Distance), a fuzzy logic–based aggregation model that estimates relative distances to an empirical optimum. Seven official indicators grouped into four functional dimensions—human resources, access to medical technologies, health financing, and effective service coverage—were used to construct optimal benchmarks and evaluate the relative lag of each country. The findings reveal a persistent gap between high-income and upper-middle-income countries, with a trend of increasing divergence since 2010. Some systems, such as South Korea, show consistent improvements, while others, including Mexico and Chile, remain considerably distant from the optimum. The study discusses methodological and policy implications and proposes the GOWLAD index as an alternative tool for assessing health system performance beyond conventional approaches.

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References

Alfaro-García, V. G., Merigó, J. M., Gil-Lafuente, A. M., & Kacprzyk, J. (2018). Logarithmic aggregation operators and distance measures. International Journal of Intelligent Systems, 33(7). https://doi.org/10.1002/int.21988

Anand, S., & Hanson, K. (1997). Disability-adjusted life years: A critical review. Journal of Health Economics, 16(6). https://doi.org/10.1016/S0167-6296(97)00005-2

Atun, R., De Andrade, L. O. M., Almeida, G., Cotlear, D., Dmytraczenko, T., Frenz, P., Garcia, P., Gómez-Dantés, O., Knaul, F. M., Muntaner, C., De Paula, J. B., Rígoli, F., Serrate, P. C. F., & Wagstaff, A. (2015). Health-system reform and universal health coverage in Latin America. In The Lancet (Vol. 385, Issue 9974). https://doi.org/10.1016/S0140-6736(14)61646-9

Beretta, L., & Santaniello, A. (2016). Nearest neighbor imputation algorithms: A critical evaluation. BMC Medical Informatics and Decision Making, 16. https://doi.org/10.1186/s12911-016-0318-z

Boerma, T., Eozenou, P., Evans, D., Evans, T., Kieny, M. P., & Wagstaff, A. (2014). Monitoring Progress towards Universal Health Coverage at Country and Global Levels. In PLoS Medicine (Vol. 11, Issue 9). https://doi.org/10.1371/journal.pmed.1001731

Campbell, J., Dussault, G., Buchan, J., Pozo-Martin, F., Guerra Arias, M., Leone, C., Siyam, A., & Cornetto, A. (2013). A universal truth: No health without a workforce. In World Health Organization.

Fullér, R., & Majlender, P. (2001). An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets and Systems, 124(1). https://doi.org/10.1016/S0165-0114(01)00007-0

Hogan, D. R., Stevens, G. A., Hosseinpoor, A. R., & Boerma, T. (2018). Monitoring universal health coverage within the Sustainable Development Goals: development and baseline data for an index of essential health services. The Lancet Global Health, 6(2). https://doi.org/10.1016/S2214-109X(17)30472-2

Jerez, J. M., Molina, I., García-Laencina, P. J., Alba, E., Ribelles, N., Martín, M., & Franco, L. (2010). Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artificial Intelligence in Medicine, 50(2). https://doi.org/10.1016/j.artmed.2010.05.002

Kassebaum, N. J., Barber, R. M., Dandona, L., Hay, S. I., Larson, H. J., Lim, S. S., Lopez, A. D., Mokdad, A. H., Naghavi, M., Pinho, C., Steiner, C., Vos, T., Wang, H., Achoki, T., Anderson, G. M., Arora, M., Biryukov, S., Blore, J. D., Carter, A., … Zuhlke, L. J. (2016). Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053). https://doi.org/10.1016/S0140-6736(16)31470-2

Kruk, M. E., Gage, A. D., Arsenault, C., Jordan, K., Leslie, H. H., Roder-DeWan, S., Adeyi, O., Barker, P., Daelmans, B., Doubova, S. V., English, M., Elorrio, E. G., Guanais, F., Gureje, O., Hirschhorn, L. R., Jiang, L., Kelley, E., Lemango, E. T., Liljestrand, J., … Pate, M. (2018). High-quality health systems in the Sustainable Development Goals era: time for a revolution. In The Lancet Global Health (Vol. 6, Issue 11). https://doi.org/10.1016/S2214-109X(18)30386-3

MacKenbach, J. P., & McKee, M. (2013). A comparative analysis of health policy performance in 43 European countries. European Journal of Public Health, 23(2). https://doi.org/10.1093/eurpub/cks192

Manyazewal, T. (2017). Using the World Health Organization health system building blocks through survey of healthcare professionals to determine the performance of public healthcare facilities. Archives of Public Health, 75(1). https://doi.org/10.1186/s13690-017-0221-9

Merigó, J. M., & Gil-Lafuente, A. M. (2010). New decision-making techniques and their application in the selection of financial products. Information Sciences, 180(11). https://doi.org/10.1016/j.ins.2010.01.028

Moreno-Serra, R., & Smith, P. C. (2012). Does progress towards universal health coverage improve population health? In The Lancet (Vol. 380, Issue 9845). https://doi.org/10.1016/S0140-6736(12)61039-3

Moreno-Serra, R., & Smith, P. C. (2015). Broader health coverage is good for the nation’s health: Evidence from country level panel data. Journal of the Royal Statistical Society. Series A: Statistics in Society, 178(1). https://doi.org/10.1111/rssa.12048

Ng, M., Fullman, N., Dieleman, J. L., Flaxman, A. D., Murray, C. J. L., & Lim, S. S. (2014). Effective Coverage: A Metric for Monitoring Universal Health Coverage. In PLoS Medicine (Vol. 11, Issue 9). https://doi.org/10.1371/journal.pmed.1001730

O’Donnell, O., van Doorslaer, E., Wagstaff, A., & Lindelow, M. (2008). Measurement of Living Standards. Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and Their Implementation. The World Bank, Washington, DC.

OECD. (2023a). Computed tomography (CT) scanners per million population. In https://stats.oecd.org/Index.aspx?DataSetCode=HEALTH_STAT. OECD Health Statistics.

OECD. (2023b). Health at a Glance 2023: OECD Indicators. OECD Publishing. https://doi.org/https://doi.org/10.1787/7a7afb35-en

OECD. (2023c). Health expenditure per capita, USD PPP. In https://stats.oecd.org/Index.aspx?DataSetCode=SHA. OECD Health Statistics.

OECD. (2023d). Hospital beds (per 1,000 population). In https://stats.oecd.org/Index.aspx?DataSetCode=HEALTH_STAT. OECD Health Statistics.

OECD. (2023e, July 10). Health expenditure as a share of GDP. OECD Health Statistics. https://stats.oecd.org/Index.aspx?DataSetCode=SHA

Salomon, J. A., Vos, T., Hogan, D. R., Gagnon, M., Naghavi, M., Mokdad, A., Begum, N., Shah, R., Karyana, M., Kosen, S., Farje, M. R., Moncada, G., Dutta, A., Sazawal, S., Dyer, A., Seiler, J., Aboyans, V., Baker, L., Baxter, A., … Murray, C. J. L. (2012). Common values in assessing health outcomes from disease and injury: Disability weights measurement study for the Global Burden of Disease Study 2010. The Lancet, 380(9859). https://doi.org/10.1016/S0140-6736(12)61680-8

Scheffler, R. M., & Arnold, D. R. (2019). Projecting shortages and surpluses of doctors and nurses in the OECD: What looms ahead. Health Economics, Policy and Law, 14(2). https://doi.org/10.1017/S174413311700055X

Sen, A. (1999). Development as Freedom. Oxford University Press.

Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001). Missing value estimation methods for DNA microarrays. Bioinformatics, 17(6). https://doi.org/10.1093/bioinformatics/17.6.520

United Nations. (2015). Transforming Our World: the 2030 Agenda for Sustainable Development United Nations United Nations Transforming Our World: the 2030 Agenda for Sustainable Development. United Nations.

Wagstaff, A., Cotlear, D., Eozenou, P. H. V., & Buisman, L. R. (2016). Measuring progress towards universal health coverage: With an application to 24 developing countries. Oxford Review of Economic Policy, 32(1). https://doi.org/10.1093/oxrep/grv019

Wagstaff, A., & Neelsen, S. (2020). A comprehensive assessment of universal health coverage in 111 countries: a retrospective observational study. The Lancet Global Health, 8(1). https://doi.org/10.1016/S2214-109X(19)30463-2

WHO. (2007). Everybody’s business: strengthening health systems to improve health outcomes: WHO’s framework for action. Production. https://doi.org/10 July 2012

WHO. (2010). Health Systems Financing: The Path to Universal Coverage. World Health Report 2010. Relictos de Bosques de Excepcional Diversidad En Los Andes Centrales Del Per.

WHO. (2023a). Medical doctors (per 10 000 population). In https://www.who.int/data/gho/data/indicators/indicator-details/GHO/medical-doctors-(per-10-000-population). Global Health Observatory.

WHO. (2023b). Out-of-pocket expenditure as percentage of current health expenditure (CHE) (%). In https://www.who.int/data/gho/data/indicators/indicator-details/GHO/out-of-pocket-expenditure-as-percentage-of-current-health-expenditure-(che)-(-). Global Health Observatory.

WHO. (2023c). Universal health coverage (UHC) service coverage index. In https://www.who.int/data/gho/data/themes/universal-health-coverage. Global Health Observatory.

Xu, K., Evans, D. B., Kawabata, K., Zeramdini, R., Klavus, J., & Murray, C. J. L. (2003). Household catastrophic health expenditure: A multicountry analysis. Lancet, 362(9378). https://doi.org/10.1016/S0140-6736(03)13861-5

Yager, R. R. (1988). On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking. IEEE Transactions on Systems, Man and Cybernetics, 18(1). https://doi.org/10.1109/21.87068

Published

2025-12-19

How to Cite

Carrillo-Gómez, D., Alfaro-Calderón, G. G., García-Orozco, D., & Sanchez-Vázquez , E. (2025). Evaluación comparativa del desempeño sanitario en países de la OCDE mediante el índice GOWLAD: un enfoque de agregación logarítmica y lógica difusa. INCEPTUM, 20(39), 23–45. https://doi.org/10.33110/inceptum.v20i39.510

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