Improving the world’s health through the post-2015 development agenda: perspectives from Rwanda

The world has made a great deal of progress through the Millennium Development Goals (MDGs) to improve the health and well-being of people around the globe, but there remains a long way to go. Here we provide reflections on Rwanda’s experience in working to meet the health-related targets of the MDGs. This experience has informed our proposal of five guiding principles that may be useful for countries to consider as the world sets and moves forward with the post-2015 development agenda. These include: 1) advancing concrete and meaningful equity agendas that drive the post-2015 goals; 2) ensuring that goals to meet Universal Health Coverage (UHC) incorporate real efforts to focus on improving quality and not only quantity of care; 3) bolstering education and the internal research capacity within countries so that they can improve local evidence-based policy-making; 4) promoting intersectoral collaboration to achieve goals, and 5) improving collaborations between multilateral agencies – that are helping to monitor and evaluate progress towards the goals that are set – and the countries that are working to achieve improvements in health within their nation and across the world

Early childhood development in Rwanda: a policy analysis of the human rights legal framework

Background: Early childhood development (ECD) is a critical period that continues to impact human health and productivity throughout the lifetime. Failing to provide policies and programs that support optimal developmental attainment when such services are financially and logistically feasible can result in negative population health, education and economic consequences that might otherwise be avoided. Rwanda, with its commitment to rights-based policy and program planning, serves as a case study for examination of the national, regional, and global human rights legal frameworks that inform ECD service delivery. Discussion In this essay, we summarize key causes and consequences of the loss of early developmental potential and how this relates to the human rights legal framework in Rwanda. We contend that sub-optimal early developmental attainment constitutes a violation of individuals’ rights to health, education, and economic prosperity. These rights are widely recognized in global, regional and national human rights instruments, and are guaranteed by Rwanda’s constitution. Recent policy implementation by several Rwandan ministries has increased access to health and social services that promote achievement of full developmental potential. These ECD-centric activities are characterized by an integrated approach to strengthening the services provided by several public sectors. Combining population level activities with those at the local level, led by local community health workers and women’s councils, can bolster community education and ensure uptake of ECD services. Conclusions: Realization of the human rights to health, education, and economic prosperity requires and benefits from attention to the period of ECD, as early childhood has the potential to be an opportunity for expedient intervention or the first case of human rights neglect in a lifetime of rights violations. Efforts to improve ECD services and outcomes at the population level require multisector collaboration at the highest echelons of government, as well as local education and participation at the community level

Critical Care Units in Malawi: A Cross-Sectional Study

Background: The global burden of critical illness falls disproportionately outside high-income countries. Despite younger patient populations with similar or lower disease severity, critical illness outcomes are poor outside high-income countries. A lack of data limits attempts to understand and address the drivers of critical care outcomes outside high-income countries. Objectives: We aim to characterize the organization, available resources, and service capacity of public sector critical care units in Malawi and identify barriers to improving care. Methods: We conducted a secondary analysis of the Malawi Emergency and Critical Care Survey, a cross-sectional study performed from January to February 2020 at all four central hospitals and a simple random sample of nine out of 24 public sector district hospitals in Malawi, a predominantly rural, low-income country of 19.6 million in southern Africa. Data from critical care units were used to characterize resources, processes, and barriers to care. Findings: There were four HDUs and four ICUs across the 13 hospitals in the Malawi Emergency and Critical Care Survey sample. The median critical care beds per 1,000,000 catchment was 1.4 (IQR: 0.9 to 6.7). Absent equipment was the most common barrier in HDUs (46% [95% CI: 32% to 60%]). Stockouts was the most common barriers in ICUs (48% [CI: 38% to 58%]). ICUs had a median 3.0 (range: 2 to 8) functional ventilators per unit and reported an ability to perform several quality mechanical ventilation interventions. Conclusions: Although significant gaps exist, Malawian critical care units report the ability to perform several complex clinical processes. Our results highlight regional inequalities in access to care and support the use of process-oriented questions to assess critical care capacity. Future efforts should focus on basic critical care capacity outside of urban areas and quantify the impact of context-specific variables on critical care mortality

Frequency drift in MR spectroscopy at 3T

Purpose: Heating of gradient coils and passive shim components is a common cause of instability in the B-0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites.Method: A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC).Results: Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p &lt; 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI.Discussion: This study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.</p

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH)

The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH) had a Special Observing Period (SOP) that ran from November 16, 2018 to February 15, 2019, a period chosen to span the austral warm season months of greatest operational activity in the Antarctic. Some 2200 additional radiosondes were launched during the 3-month SOP, roughly doubling the routine program, and the network of drifting buoys in the Southern Ocean was enhanced. An evaluation of global model forecasts during the SOP and using its data has confirmed that extratropical Southern Hemisphere forecast skill lags behind that in the Northern Hemisphere with the contrast being greatest between the southern and northern polar regions. Reflecting the application of the SOP data, early results from observing system experiments show that the additional radiosondes

Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Background The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression. Methods We fine-mapped the classical MHC (chr6: 29.6–33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10−6) and a candidate threshold (1.6 × 10−4). Results No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95 confidence interval = 0.97–0.99). Conclusions We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes

Improving the World’s Health through the Post-2015 Development Agenda: Perspectives from Rwanda

The world has made a great deal of progress through the Millennium Development Goals (MDGs) to improve the health and well-being of people around the globe, but there remains a long way to go. Here we provide reflections on Rwanda’s experience in working to meet the health-related targets of the MDGs. This experience has informed our proposal of five guiding principles that may be useful for countries to consider as the world sets and moves forward with the post-2015 development agenda. These include: 1) advancing concrete and meaningful equity agendas that drive the post-2015 goals; 2) ensuring that goals to meet Universal Health Coverage (UHC) incorporate real efforts to focus on improving quality and not only quantity of care; 3) bolstering education and the internal research capacity within countries so that they can improve local evidence-based policy-making; 4) promoting intersectoral collaboration to achieve goals, and 5) improving collaborations between multilateral agencies – that are helping to monitor and evaluate progress towards the goals that are set – and the countries that are working to achieve improvements in health within their nation and across the worl