The effect of public health system performance on child well-being: an analysis through the construction and selection of composite indicators

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The effect of public health system performance on child well-being: an analysis through the construction and selection of composite indicators | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report The effect of public health system performance on child well-being: an analysis through the construction and selection of composite indicators Angélica Cidália Gouveia dos Santos, Matheus Libório, André Coimbra, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8038364/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Interest in child health and well-being is growing. Given the multidimensional nature of well-being and the health system, composite indicators (CIs) are a useful tool. This study proposes an analysis of the correlation between the CI of child well-being and the CI of the public health system's performance. To this end, a proposal for selecting the weighting scheme for constructing the CIs is presented. Among the schemes used, the CIs constructed with entropy weighting showed the highest correlation. The uncertainty analysis indicates that the ranking of countries obtained with entropy weighting is the most stable among the methods adopted, demonstrating that the selected CIs are robust. The explanatory power indicates a strong correlation between the CIs obtained and the GDP, validating the compatibility with the reference variable of the multidimensional phenomenon, and the discriminant power, demonstrates that the CIs have high informational diversity, facilitating the differentiation of countries by decision makers. The analysis of the correlation of CIs generated to represent child well-being and the health system indicates that countries with better health system performance tend to have higher levels of child well-being, reinforcing the role of the public health system for child well-being in the search for sustainable development. Well-being Health System Multidimensional health phenomenon Composite Indicators Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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