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

2019 ◽  
Vol 4 (3) ◽  
pp. e000964corr1
Keyword(s):  
Low Income ◽  
Opportunity Costs ◽  
Middle Income ◽  
Middle Income Countries ◽  
Novel Approach ◽  
Cross Country

Migraine and Stress – An Explorative Cross-Country Study of External Stress Factors

2020 ◽  
Author(s):  
Irene van Staveren
Keyword(s):  
Low Income ◽  
Developed Countries ◽  
Ordinary Least Squares ◽  
External Stress ◽  
Stress Factors ◽  
Middle Income ◽  
Middle Income Countries ◽  
Proxy Variables ◽  
Modifiable Factors ◽  
Cross Country

Abstract BackgroundAccording to the Global Burden of Disease 2016 project, migraine ranks first for 15-49 years and second for all ages. The project has reported no significant relation with socio-economic status of a country. To the contrary, migraine ranks first for all ages in low- and middle-income countries suffering from civic unrest and conflict. This raises the question whether external stress factors may be correlated with migraine years lived with disability (YLD).MethodsIn the absence of cross-country studies on migraine and stress, this is a unique exploratory study. The analysis uses two country groups: developed countries (including some middle-income countries) and developing (middle- and low-income) countries. For the first group, proxy variables for stress are included that relate to flexible and highly competitive labour markets (productivity and unemployment), whereas for the second group, proxy variables are used that relate to conflict and migration. The data were analysed with multiple ordinary least squares cross-section regressions.ResultsThe results show a positive relationship between the stress variables on the one hand and migraine YLD on the other hand for both country groups. Almost all results are statistically significant at p<0.01.ConclusionsThe findings from the exploratory cross-country analysis suggest that societal stress factors may be potential candidates for modifiable factors for the prevalence and severity of migraine at the country level.

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

2018 ◽  
Vol 3 (6) ◽  
pp. e000964 ◽  
Author(s):  
Jessica Ochalek ◽  
James Lomas ◽  
Karl Claxton
Keyword(s):  
Health Outcomes ◽  
Low Income ◽  
Health Expenditure ◽  
Cost Effective ◽  
Opportunity Costs ◽  
Donor Funding ◽  
Middle Income ◽  
Novel Approach ◽  
Healthcare Interventions ◽  
Country Specific

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.

scholarly journals Early Detection of CKD: Implications for Low-Income, Middle-Income, and High-Income Countries

2020 ◽  
Vol 31 (9) ◽  
pp. 1931-1940 ◽  
Author(s):  
Marcello Tonelli ◽  
James A. Dickinson
Keyword(s):  
Early Detection ◽  
Low Income ◽  
Population Based ◽  
Case Finding ◽  
High Income ◽  
Opportunity Costs ◽  
Middle Income ◽  
Middle Income Countries ◽  
Use Of Resources ◽  
Low And Middle Income

CKD is common, costly, and associated with adverse health outcomes. Because inexpensive treatments can slow the rate of kidney function loss, and because CKD is asymptomatic until its later stages, the idea of early detection of CKD to improve outcomes ignites enthusiasm, especially in low- and middle-income countries where renal replacement is often unavailable or unaffordable. Available data and prior experience suggest that the benefits of population-based screening for CKD are uncertain; that there is potential for harms; that screening is not a wise use of resources, even in high-income countries; and that screening has substantial opportunity costs in low- and middle-income countries that offset its hypothesized benefits. In contrast, some of the factors that diminish the value of population-based screening (such as markedly higher prevalence of CKD in people with diabetes, hypertension, and cardiovascular disease, as well as high preexisting use of kidney testing in such patients) substantially increase the appeal of searching for CKD in people with known kidney risk factors (case finding) in high-income countries as well as in low- and middle-income countries. For both screening and case finding, detection of new cases is the easiest component; the real challenge is ensuring appropriate management for a chronic disease, usually for years or even decades. This review compares and contrasts the benefits, harms, and opportunity costs associated with these two approaches to early detection of CKD. We also suggest criteria (discussed separately for high-income countries and for low- and middle-income countries) to use in assessing when countries should consider case finding versus when they should consider foregoing systematic attempts at early detection and focus on management of known cases.

scholarly journals Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

2021 ◽  
Vol 18 (5) ◽  
pp. 2439
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  
Keyword(s):  
Health Survey ◽  
Low Income ◽  
World Health ◽  
Low Income Countries ◽  
Multivariable Logistic Regression Analysis ◽  
World Health Survey ◽  
Middle Income ◽  
Middle Income Countries ◽  
The World ◽  
Low And Middle Income

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

scholarly journals Gestational weight gain in low-income and middle-income countries: a modelling analysis using nationally representative data

2020 ◽  
Vol 5 (11) ◽  
pp. e003423
Author(s):  
Dongqing Wang ◽  
Molin Wang ◽  
Anne Marie Darling ◽  
Nandita Perumal ◽  
Enju Liu ◽  
...  
Keyword(s):  
Weight Gain ◽  
North Africa ◽  
Low Income ◽  
Sub Saharan Africa ◽  
Middle Income ◽  
Middle Income Countries ◽  
Gestational Weight ◽  
Latin America And Caribbean ◽  
Nationally Representative ◽  
Sub Saharan

IntroductionGestational weight gain (GWG) has important implications for maternal and child health and is an ideal modifiable factor for preconceptional and antenatal care. However, the average levels of GWG across all low-income and middle-income countries of the world have not been characterised using nationally representative data.MethodsGWG estimates across time were computed using data from the Demographic and Health Surveys Program. A hierarchical model was developed to estimate the mean total GWG in the year 2015 for all countries to facilitate cross-country comparison. Year and country-level covariates were used as predictors, and variable selection was guided by the model fit. The final model included year (restricted cubic splines), geographical super-region (as defined by the Global Burden of Disease Study), mean adult female body mass index, gross domestic product per capita and total fertility rate. Uncertainty ranges (URs) were generated using non-parametric bootstrapping and a multiple imputation approach. Estimates were also computed for each super-region and region.ResultsLatin America and Caribbean (11.80 kg (95% UR: 6.18, 17.41)) and Central Europe, Eastern Europe and Central Asia (11.19 kg (95% UR: 6.16, 16.21)) were the super-regions with the highest GWG estimates in 2015. Sub-Saharan Africa (6.64 kg (95% UR: 3.39, 9.88)) and North Africa and Middle East (6.80 kg (95% UR: 3.17, 10.43)) were the super-regions with the lowest estimates in 2015. With the exception of Latin America and Caribbean, all super-regions were below the minimum GWG recommendation for normal-weight women, with Sub-Saharan Africa and North Africa and Middle East estimated to meet less than 60% of the minimum recommendation.ConclusionThe levels of GWG are inadequate in most low-income and middle-income countries and regions. Longitudinal monitoring systems and population-based interventions are crucial to combat inadequate GWG in low-income and middle-income countries.

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