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      The economic burden associated with unmet surgical needs in Liberia: a retrospective macroeconomic analysis based on a nationwide enumeration of surgical procedures

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          Abstract

          Objectives

          The economic consequences of untreated surgical disease are potentially large. The aim of this study was to estimate the economic burden associated with unmet surgical needs in Liberia.

          Design

          A nationwide enumeration of surgical procedures and providers was conducted in Liberia in 2018. We estimated the number of disability-adjusted life years (DALYs) saved by operative activities and converted these into economic losses averted using gross national income per capita and value of a statistical life (VSL) approaches. The total, the met and the unmet needs for surgery were determined, and economic losses caused by unmet surgical needs were estimated. Finally, we valued the economic losses avoided by various surgical provider groups.

          Results

          A total of 55 890 DALYs were averted by surgical activities in 2018; these activities prevented an economic loss of between US$35 and US$141 million. About half of these values were generated by the non-specialist physician workforce. Furthermore, a non-specialist physician working a full-time position for 1 year prevented an economic loss of US$717 069 using the VSL approach, while a specialist resident and a certified specialist saved US$726 606 and US$698 877, respectively. The burden of unmet surgical need was associated with productivity losses of between US$388 million and US$1.6 billion; these losses equate to 11% and 46% of the annual gross domestic product for Liberia.

          Conclusion

          The economic burden of untreated surgical disease is large in Liberia. There is a need to strengthen the surgical system to reduce ongoing economic losses; a framework where specialist and non-specialist physicians collaborate may result in better economic return than a narrower focus on training specialists alone.

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          Most cited references31

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          Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.
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            Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development.

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              Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010.

              Measurement of the global burden of disease with disability-adjusted life-years (DALYs) requires disability weights that quantify health losses for all non-fatal consequences of disease and injury. There has been extensive debate about a range of conceptual and methodological issues concerning the definition and measurement of these weights. Our primary objective was a comprehensive re-estimation of disability weights for the Global Burden of Disease Study 2010 through a large-scale empirical investigation in which judgments about health losses associated with many causes of disease and injury were elicited from the general public in diverse communities through a new, standardised approach. We surveyed respondents in two ways: household surveys of adults aged 18 years or older (face-to-face interviews in Bangladesh, Indonesia, Peru, and Tanzania; telephone interviews in the USA) between Oct 28, 2009, and June 23, 2010; and an open-access web-based survey between July 26, 2010, and May 16, 2011. The surveys used paired comparison questions, in which respondents considered two hypothetical individuals with different, randomly selected health states and indicated which person they regarded as healthier. The web survey added questions about population health equivalence, which compared the overall health benefits of different life-saving or disease-prevention programmes. We analysed paired comparison responses with probit regression analysis on all 220 unique states in the study. We used results from the population health equivalence responses to anchor the results from the paired comparisons on the disability weight scale from 0 (implying no loss of health) to 1 (implying a health loss equivalent to death). Additionally, we compared new disability weights with those used in WHO's most recent update of the Global Burden of Disease Study for 2004. 13,902 individuals participated in household surveys and 16,328 in the web survey. Analysis of paired comparison responses indicated a high degree of consistency across surveys: correlations between individual survey results and results from analysis of the pooled dataset were 0·9 or higher in all surveys except in Bangladesh (r=0·75). Most of the 220 disability weights were located on the mild end of the severity scale, with 58 (26%) having weights below 0·05. Five (11%) states had weights below 0·01, such as mild anaemia, mild hearing or vision loss, and secondary infertility. The health states with the highest disability weights were acute schizophrenia (0·76) and severe multiple sclerosis (0·71). We identified a broad pattern of agreement between the old and new weights (r=0·70), particularly in the moderate-to-severe range. However, in the mild range below 0·2, many states had significantly lower weights in our study than previously. This study represents the most extensive empirical effort as yet to measure disability weights. By contrast with the popular hypothesis that disability assessments vary widely across samples with different cultural environments, we have reported strong evidence of highly consistent results. Bill & Melinda Gates Foundation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2024
                8 January 2024
                : 14
                : 1
                : e076293
                Affiliations
                [1 ]departmentDepartment of Public Health and Nursing, Faculty of Medicine and Health Sciences , Ringgold_8018NTNU - Norwegian University of Science and Technology , Trondheim, Norway
                [2 ]departmentDepartment of Surgery , Ålesund Hospital, Møre and Romsdal Hospital Trust , Ålesund, Norway
                [3 ]CapaCare, Trondheim, Norway , & Tappita, Liberia
                [4 ]departmentDepartment of Surgery , St Olav’s Hospital, Trondheim University Hospital , Trondheim, Norway
                [5 ]departmentDepartment of Surgery , ELWA Hospital , Monrovia, Liberia
                [6 ]departmentKing's Centre for Global Health and Health Partnerships , King's College , London, UK
                [7 ]Ringgold_8952Medway NHS Foundation Trust , Gillingham, UK
                [8 ]Physician Assistant Association , Monrovia, Liberia
                [9 ]departmentDepartment of Global Health and Development , Ringgold_218289London School of Hygiene and Tropical Medicine , London, UK
                [10 ]Evidera Ltd , London, UK
                Author notes
                [Correspondence to ] Dr Håvard A Adde; haavarad@ 123456stud.ntnu.no
                Author information
                http://orcid.org/0000-0002-0883-0549
                http://orcid.org/0000-0002-6943-0100
                http://orcid.org/0000-0002-1662-5799
                http://orcid.org/0000-0001-9291-1511
                http://orcid.org/0000-0002-9609-4093
                Article
                bmjopen-2023-076293
                10.1136/bmjopen-2023-076293
                10806694
                38191260
                63af4f2e-ba1e-4609-8c61-b28c72cf70e3
                © Author(s) (or their employer(s)) 2024. 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
                : 02 June 2023
                : 15 December 2023
                Funding
                Funded by: Torunn and Oles Foundation;
                Award ID: N/A
                Categories
                Global Health
                1506
                1699
                Original research
                Custom metadata
                unlocked

                Medicine
                health economics,surgery,health equity
                Medicine
                health economics, surgery, health equity

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