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Influence of Selected Indicators of Healthcare System Functioning Evaluation on the Health Result

Author

Listed:
  • Olga Partyka

    (Department of Health Economics and Medical Law, Medical University of Warsaw, 01-445 Warsaw, Poland)

  • Monika Pajewska

    (Department of Economic and System Analyses, National Institute of Public Health NIH-National Research Institute, 00-791 Warsaw, Poland)

  • Aleksandra Czerw

    (Department of Health Economics and Medical Law, Medical University of Warsaw, 01-445 Warsaw, Poland
    Department of Economic and System Analyses, National Institute of Public Health NIH-National Research Institute, 00-791 Warsaw, Poland)

  • Katarzyna Sygit

    (Faculty of Health Sciences, Calisia University, 62-800 Kalisz, Poland)

  • Kamila Kmieć

    (Faculty of Health Sciences, Calisia University, 62-800 Kalisz, Poland)

  • Oleh Lyubinets

    (Department of Public Health, Danylo Halytsky Lviv National Medical University, 79010 Lviv, Ukraine)

  • Mateusz Niemiec

    (Medical Institute, Jan Grodek State University in Sanok, 38-500 Sanok, Poland)

  • Mateusz Kaczmarski

    (Medical Institute, Jan Grodek State University in Sanok, 38-500 Sanok, Poland)

  • Izabela Gąska

    (Medical Institute, Jan Grodek State University in Sanok, 38-500 Sanok, Poland)

  • Grzegorz Juszczyk

    (Department of Public Health, Medical University of Warsaw, 02-091 Warsaw, Poland)

  • Edyta Krzych-Fałta

    (Department of Basic of Nursing, Faculty of Health Sciences, Medical University of Warsaw, 01-445 Warsaw, Poland)

  • Tomasz Banaś

    (Department of Gynaecology and Oncology, Jagiellonian University Medical College, 31-501 Cracow, Poland
    Department of Radiotherapy, Maria Sklodowska-Curie Institute-Oncology Centre, 31-115 Cracow, Poland)

  • Dariusz A. Kosior

    (Clinical and Research Department of Applied Physiology, Mossakowski Medical Research Institute Polis Academy of Sciences, 02-106 Warsaw, Poland
    Department of Cardiology and Hypertension with Electrophysiological Lab, Central Research Hospital of the Ministry of the Interior and Administration, 02-507 Warsaw, Poland)

  • Andrzej Deptała

    (Department of Cancer Prevention, Medical University of Warsaw, 02-091 Warsaw, Poland)

  • Artur Kotwas

    (Subdepartment of Social Medicine and Public Health, Department of Social Medicine, Pomeranian Medical University in Szczecin, 71-210 Szczecin, Poland)

  • Ewa Bandurska

    (Center for Competence Development, Integrated Care and e-Health, Medical University of Gdańsk, 80-204 Gdansk, Poland)

  • Weronika Ciećko

    (Center for Competence Development, Integrated Care and e-Health, Medical University of Gdańsk, 80-204 Gdansk, Poland)

  • Elżbieta Cipora

    (Medical Institute, Jan Grodek State University in Sanok, 38-500 Sanok, Poland)

Abstract

Background: According to the World Health Organization’s statistics, 7 of the 10 main causes of death in 2019 were noncommunicable diseases. Health indicators are measures used to evaluate public health system effectiveness and functioning. Monitoring mortality rates from leading causes, life expectancy and other health indicators is essential to address their causes and adapt health systems to react adequately. The aim of this study is to present the dependencies of selected health care indicators and health outcomes. Methods: Based on the literature review conducted, selected health indicators, along with healthcare system data, were analyzed using Pearson’s r correlation. The analyses included data from the Organization for Economic Cooperation and Development (OECD) presented in statistics and the Health at a Glance 2021 report and data collected as part of the preparation of the Financing Global Health 2020 report by the Institute for Health Metrics and Evaluation. Results: Health system resources are linked to health outcomes. The number of medical consultations, the number of nurses per patient or the level of financing of services under general health insurance are related to life expectancy and deaths due to causes that could have been avoided or treated. Conclusions: Life expectancy is positively correlated with access to general health insurance and public expenditure on healthcare. There is a need for all countries to provide their citizens with broad access to healthcare services.

Suggested Citation

  • Olga Partyka & Monika Pajewska & Aleksandra Czerw & Katarzyna Sygit & Kamila Kmieć & Oleh Lyubinets & Mateusz Niemiec & Mateusz Kaczmarski & Izabela Gąska & Grzegorz Juszczyk & Edyta Krzych-Fałta & To, 2022. "Influence of Selected Indicators of Healthcare System Functioning Evaluation on the Health Result," IJERPH, MDPI, vol. 19(21), pages 1-11, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14618-:d:966005
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    References listed on IDEAS

    as
    1. McDowell, I. & Spasoff, R.A. & Kristjansson, B., 2004. "On the Classification of Population Health Measurements," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 388-393.
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