Faculty Opinions recommendation of International Surviving Sepsis Campaign guidelines 2016: the perspective from low-income and middle-income countries.

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.

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

BMJ Global Health ◽

10.1136/bmjgh-2020-003423 ◽

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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Urgent needs of low-income and middle-income countries for COVID-19 vaccines and therapeutics

The Lancet ◽

10.1016/s0140-6736(21)00242-7 ◽

2021 ◽

Vol 397 (10274) ◽

pp. 562-564

Author(s):

J Peter Figueroa ◽

Maria Elena Bottazzi ◽

Peter Hotez ◽

Carolina Batista ◽

Onder Ergonul ◽

...

Keyword(s):

Low Income ◽

Middle Income ◽

Middle Income Countries

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Economics of physical activity in low-income and middle- income countries: a systematic review

BMJ Open ◽

10.1136/bmjopen-2020-037784 ◽

2021 ◽

Vol 11 (1) ◽

pp. e037784

Author(s):

Priyanga Diloshini Ranasinghe ◽

Subhash Pokhrel ◽

Nana Kwame Anokye

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Economic Evaluation ◽

Drug Treatment ◽

Chronic Diseases ◽

Low Income ◽

Economic Burden ◽

Eligibility Criteria ◽

Middle Income ◽

Middle Income Countries

BackgroundPromotion of physical activity (PA) among populations is a global health investment. However, evidence on economic aspects of PA is sparse and scattered in low-income and middle-income countries (LMICs).ObjectiveThe objective of this study was to summarise the available evidence on economics of PA in LMICs, identify potential target variables for policy and report gaps in the existing economic evidence alongside research recommendations.Data sourcesA systematic review of the electronic databases (Scopus, Web of Science and SPORTDiscus) and grey literature.Study eligibility criteriaCost-of-illness studies, economic evaluations, interventions and descriptive studies on economic factors associated with PA using preset eligibility criteria.Study appraisal and synthesis of methodsScreening, study selection and quality appraisal based on standard checklists performed by two reviewers with consensus of a third reviewer. Descriptive synthesis of data was performed.ResultsThe majority of the studies were from upper-middle-income countries (n=16, 88.8%) and mainly from Brazil (n=9, 50%). Only one economic evaluation study was found. The focus of the reviewed literature spanned the economic burden of physical inactivity (n=4, 22%), relationship between PA and costs (n=6, 46%) and socioeconomic determinants of PA (n=7, 39%). The findings showed a considerable economic burden due to insufficient PA, with LMICs accounting for 75% of disability-adjusted life years (DALYs) globally due to insufficient PA. Socioeconomic correlates of PA were identified, and inverse relationship of PA with the cost of chronic diseases was established. Regular PA along with drug treatment as a treatment scheme for chronic diseases showed advantages with a cost–utility ratio of US$3.21/quality-adjusted life year (QALY) compared with the drug treatment-only group (US$3.92/QALY) by the only economic evaluation conducted in the LMIC, Brazil.LimitationsMeta-analysis was not performed due to heterogeneity of the studies.Conclusions and recommendationsEconomic evaluation studies for PA promotion interventions/strategies and local research from low-income countries are grossly inadequate. Setting economic research agenda in LMICs ought to be prioritised in those areas.PROSPERO registration numberCRD42018099856.

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Modelling the COVID-19 pandemic in context: an international participatory approach

BMJ Global Health ◽

10.1136/bmjgh-2020-003126 ◽

2020 ◽

Vol 5 (12) ◽

pp. e003126

Author(s):

Ricardo Aguas ◽

Lisa White ◽

Nathaniel Hupert ◽

Rima Shretta ◽

Wirichada Pan-Ngum ◽

...

Keyword(s):

Mathematical Models ◽

Low Income ◽

Scientific Evidence ◽

Participatory Approach ◽

Middle Income ◽

Middle Income Countries ◽

Containment Measures ◽

History Of ◽

High Degree ◽

The Mathematical Model

The SARS-CoV-2 pandemic has had an unprecedented impact on multiple levels of society. Not only has the pandemic completely overwhelmed some health systems but it has also changed how scientific evidence is shared and increased the pace at which such evidence is published and consumed, by scientists, policymakers and the wider public. More significantly, the pandemic has created tremendous challenges for decision-makers, who have had to implement highly disruptive containment measures with very little empirical scientific evidence to support their decision-making process. Given this lack of data, predictive mathematical models have played an increasingly prominent role. In high-income countries, there is a long-standing history of established research groups advising policymakers, whereas a general lack of translational capacity has meant that mathematical models frequently remain inaccessible to policymakers in low-income and middle-income countries. Here, we describe a participatory approach to modelling that aims to circumvent this gap. Our approach involved the creation of an international group of infectious disease modellers and other public health experts, which culminated in the establishment of the COVID-19 Modelling (CoMo) Consortium. Here, we describe how the consortium was formed, the way it functions, the mathematical model used and, crucially, the high degree of engagement fostered between CoMo Consortium members and their respective local policymakers and ministries of health.

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