13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Estimating health opportunity costs in low-income and middle-income countries: a novel approach and evidence from cross-country data

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The economic evaluation of healthcare interventions requires an assessment of whether the improvement in health outcomes they offer exceeds the improvement in health that would have been possible if the additional resources required had, instead, been made available for other healthcare activities. Therefore, some assessment of these health opportunity costs is required if the best use is to be made of the resources available for healthcare. This paper provides a framework for generating country-specific estimates of cost per disability-adjusted life year (DALY) averted ‘thresholds’ that reflect health opportunity costs. We apply estimated elasticities on mortality, survival, morbidity and a generic measure of health, DALYs, that take account of measures of a country’s infrastructure and changes in donor funding to country-specific data on health expenditure, epidemiology and demographics to determine the likely DALYs averted from a 1% change in expenditure on health. The resulting range of cost per DALY averted ‘threshold’ estimates for each country that represent likely health opportunity costs tend to fall below the range previously suggested by WHO of 1–3× gross domestic product (GDP) per capita. The 1–3× GDP range and many other previous and existing recommendations about which interventions are cost-effective are not based on an empirical assessment of the likely health opportunity costs, and as a consequence, the health effects of changes in health expenditure have tended to be underestimated, and there is a risk that interventions regarded as cost-effective reduce rather than improve health outcomes overall.

          Related collections

          Most cited references12

          • Record: found
          • Abstract: found
          • Article: not found

          The impact of public spending on health: does money matter?

          We use cross-national data to examine the impact of both public spending on health and non-health factors (economic, educational, cultural) in determining child (under-5) and infant mortality. There are two striking findings. First, the impact of public spending on health is quite small, with a coefficient that is typically both numerically small and statistically insignificant at conventional levels. Independent variation in public spending explains less than one-seventh of 1% of the observed differences in mortality across countries. The estimates imply that for a developing country at average income levels the actual public spending per child death averted is $50,000-100,000. This stands in marked contrast to the typical range of estimates of the cost effectiveness of medical interventions to avert the largest causes of child mortality in developing countries, which is $10-4000. We outline three possible explanations for this divergence of the actual and apparent potential of public spending. Second, whereas health spending is not a powerful determinant of mortality, 95% of cross-national variation in mortality can be explained by a country's income per capita, inequality of income distribution, extent of female education, level of ethnic fragmentation, and predominant religion.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cost-Effectiveness Thresholds: the Past, the Present and the Future

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Government health expenditures and health outcomes.

              This paper provides econometric evidence linking a country's per capita government health expenditures and per capita income to two health outcomes: under-five mortality and maternal mortality. Using instrumental variables techniques (GMM-H2SL), we estimate the elasticity of these outcomes with respect to government health expenditures and income while treating both variables as endogenous. Consequently, our elasticity estimates are larger in magnitude than those reported in literature, which may be biased up. The elasticity of under-five mortality with respect to government expenditures ranges from -0.25 to -0.42 with a mean value of -0.33. For maternal mortality the elasticity ranges from -0.42 to -0.52 with a mean value of -0.50. For developing countries, our results imply that while economic growth is certainly an important contributor to health outcomes, government spending on health is just as important a factor. Copyright (c) 2006 John Wiley & Sons, Ltd.
                Bookmark

                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2018
                5 November 2018
                : 3
                : 6
                : e000964
                Affiliations
                [1 ] departmentCentre for Health Economics , University of York , York, UK
                [2 ] departmentDepartment of Economics and Related Studies , University of York , York, UK
                Author notes
                [Correspondence to ] Jessica Ochalek; jessica.ochalek@ 123456york.ac.uk
                Author information
                http://orcid.org/0000-0003-0744-1178
                Article
                bmjgh-2018-000964
                10.1136/bmjgh-2018-000964
                6231096
                30483412
                0e6d94ad-a537-4d17-bfab-2b2916a13475
                © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0

                History
                : 19 May 2018
                : 12 September 2018
                : 14 September 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1165566
                Categories
                Research
                1506
                Custom metadata
                unlocked

                health economics &lt,health policies and all other topics,health systems evaluation &lt

                Comments

                Comment on this article