Childbirth care in Egypt: a repeat cross-sectional analysis using Demographic and Health Surveys between 1995 and 2014 examining use of care, provider mix and immediate postpartum care content.

BACKGROUND: Egypt has achieved important reductions in maternal and neonatal mortality and experienced increases in the proportion of births attended by skilled professionals. However, substandard care has been highlighted as one of the avoidable causes behind persisting maternal deaths. This paper describes changes over time in the use of childbirth care in Egypt, focusing on location and sector of provision (public versus private) and the content of immediate postpartum care. METHODS: We used five Demographic and Health Surveys conducted in Egypt between 1995 and 2014 to explore national and regional trends in childbirth care. To assess content of care in 2014, we calculated the caesarean section rate and the percentage of women delivering in a facility who reported receiving four components of immediate postpartum care for themselves and their newborn. RESULTS: Between 1995 and 2014, the percentage of women delivering in health facilities increased from 35 to 87% and women delivering with a skilled birth attendant from 49 to 92%. The percentage of women delivering in a private facility nearly quadrupled from 16 to 63%. In 2010-2014, fewer than 2% of women delivering in public or private facilities received all four immediate postpartum care components measured. CONCLUSIONS: Egypt achieved large increases in the percentage of women delivering in facilities and with skilled birth attendants. However, most women and newborns did not receive essential elements of high quality immediate postpartum care. The large shift to private facilities may highlight failures of public providers to meet women's expectations. Additionally, the content (quality) of childbirth care needs to improve in both sectors. Immediate action is required to understand and address the drivers of poor quality, including insufficient resources, perverse incentives, poor compliance and enforcement of existing standards, and providers' behaviours moving between private and public sectors. Otherwise, Egypt risks undermining the benefits of high coverage because of substandard quality childbirth care

Temporal and regional variations in use, equity and quality of antenatal care in Egypt: a repeat cross-sectional analysis using Demographic and Health Surveys.

BACKGROUND: Egypt has seen substantial decreases in maternal mortality and reached near universal coverage for antenatal care (ANC). The objective of this paper is to describe the changes over time (1991-2014) in the use of ANC in Egypt, focusing on sector of provision (public versus private), and the content and equity of this care, to inform future policies for improving maternal and newborn health. METHODS: We used Demographic and Health surveys (DHS) conducted in Egypt in 1995, 2000, 2005, 2008 and 2014 to explore national and regional trends in ANC. To assess content of care, we calculated the percentage of ANC users who reported receiving seven ANC components measured in DHS in 2014. RESULTS: During the period under consideration, the percentage of women in need of ANC who received facility-based ANC increased from 42 to 90%, the majority of which was private-sector ANC. The mean number of ANC visits among ANC users increased over time from 7.5 (95% confidence interval [CI] = 7.1-7.9) in 1991-1995 to 9.7 (95%CI 9.6-9.9) in 2010-2014. In 2010-2014, 44% of women using public ANC reported eight or more visits compared to 71% in private ANC. In the same period, 24% of ANC users received all seven care components. This percentage ranged from 10% of women reporting fewer than four ANC visits to 29% of women reporting eight or more. The poorest ANC users received all seven measured components of care less often than the wealthiest (20% versus 28%, p-value< 0.001). CONCLUSIONS: Egypt's improvements in ANC coverage were characterized by decreasing reliance on public services and a rising number of ANC visits. However, despite rising ANC coverage, less than a third of women received the seven essential ANC components measured at least once during pregnancy, with differences between poorer and wealthier women. Policymakers need to ensure that high ANC coverage translates into equity-focused interventions targeting ANC quality. Further research needs to support this effort by assessing the determinants behind poor quality of ANC and evaluating potential interventions

Evidence review of what works for health systems strengthening, where and when?

Comprehensive reviews of health system strengthening (HSS) interventions are rare, partly because of lack of clarity on definitions of the term but also the potentially huge scale of the evidence. We reflect on the process of undertaking such an evidence review recently, drawing out suggestions on definitions of HSS and approaches to assessment, as well as summarising some key conclusions from the current evidence base. The key elements of a clear definition include, in our view, consideration of scope (with effects cutting across building blocks in practice, even if not in intervention design, and also tackling more than one disease), scale (having national reach and cutting across levels of the system), sustainability (effects being sustained over time and addressing systemic blockages), and effects (impacting on health outcomes, equity, financial risk protection, and responsiveness). We also argue that agreeing a framework for design and evaluation of HSS is urgent. Most HSS interventions have theories of change relating to specific system blocks, but more work is needed on capturing their spillover effects and their contribution to meeting overarching health system process goals. We make some initial suggestions about such goals, to reflect the features that characterise a “strong health system.” We highlight that current findings on “what works” are just indicative, given the limitations and biases in what has been studied and how, and argue that there is need to rethink evaluation methods for HSS beyond finite interventions and narrow outcomes. Clearer concepts, frameworks, and methods can support more coherent HSS investment

Effect of innate antiviral glycoproteins in breast milk on seroconversion to rotavirus vaccine (Rotarix) in children in Lusaka, Zambia.

INTRODUCTION: Rotavirus vaccines have been introduced into national immunization programmes to mitigate morbidity and mortality associated rotavirus diarrhoea. Lower vaccine effectiveness has however been noted in low-middle income countries, but little is known about the role of maternal components found in breast milk. This study assessed the effect of lactoferrin, lactadherin, and tenascin-c on rotavirus vaccine seroconversion. METHODS: This was a retrospective cohort study of 128 infants who had been fully immunized with Rotarix™. Serum samples were collected from the infant at baseline and one month after second rotavirus vaccine dose. Breast milk samples were collected from mothers at baseline. Standard ELISA was used to determine titres of rotavirus-specific immunologlobulin G and A in breast milk and serum as well as concentrations of lactoferrin, lactadherin, and tenascin-c. Poisson regression model with robust standard error was used to estimate the effect of breast milk components on seroconversion. The components were modelled on log base 2 so that the effect would be interpreted as a doubling of the concentration. RESULTS: In a multivariable analysis adjusting for maternal age, maternal HIV status, seropositivity at baseline, sex, age of child at vaccination as well as breast milk IgA and IgG, we found evidence of independent effect of LA (Adjusted IRR = 0.95; 95% CI = 0.91-0.99; P = 0.019) on seroconversion while there was no evidence for TNC (Adjusted IRR = 1.00; 95% CI = 0.85-1.17; P = 0.967) and LF (Adjusted RR = 1.01; 95% CI = 0.96-1.05); P = 0.802). We explored the joint effects of the three components but we found no evidence (Adjusted RR = 0.95; 95% CI = 0.81; P = 0.535). CONCLUSION: High breast milk concentrations of lactadherin might play a role in infant's failure to seroconvert to rotavirus vaccines. Further research to understand this observed association is an important consideration

Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study

New SARS-CoV-2 variants, breakthrough infections, waning immunity, and sub-optimal vaccination rates account for surges of hospitalizations and deaths. There is an urgent need for clinically valuable and generalizable triage tools assisting the allocation of hospital resources, particularly in resource-limited countries. We developed and validate CODOP, a machine learning-based tool for predicting the clinical outcome of hospitalized COVID-19 patients. CODOP was trained, tested and validated with six cohorts encompassing 29223 COVID-19 patients from more than 150 hospitals in Spain, the USA and Latin America during 2020-22. CODOP uses 12 clinical parameters commonly measured at hospital admission for reaching high discriminative ability up to 9 days before clinical resolution (AUROC: 0.90-0.96), it is well calibrated, and it enables an effective dynamic risk stratification during hospitalization. Furthermore, CODOP maintains its predictive ability independently of the virus variant and the vaccination status. To reckon with the fluctuating pressure levels in hospitals during the pandemic, we offer two online CODOP calculators, suited for undertriage or overtriage scenarios, validated with a cohort of patients from 42 hospitals in three Latin American countries (78-100% sensitivity and 89-97% specificity). The performance of CODOP in heterogeneous and geographically disperse patient cohorts and the easiness of use strongly suggest its clinical utility, particularly in resource-limited countries

High voltage calibration method for the CMS RPC detector

The Resistive Plate Chambers (RPC) are used for muon triggers in the CMS experiment. To calibrate the high voltage working-points (WP) and identify degraded detectors due to radiation or chemical damage, a high voltage scan has been performed using 2017 data from pp collisions at a center-of-mass energy of 13 TeV. In this paper, we present the calibration method and the latest results obtained for the 2017 data. A comparison with all scans taken since 2011 is considered to investigate the stability of the detector performance in time

CMSRPC efficiency measurement using the tag-and-probe method

We measure the efficiency of CMS Resistive Plate Chamber (RPC) detectors in proton-proton collisions at the centre-of-mass energy of 13 TeV using the tag-and-probe method. A muon from a Z(0) boson decay is selected as a probe of efficiency measurement, reconstructed using the CMS inner tracker and the rest of CMS muon systems. The overall efficiency of CMS RPC chambers during the 2016-2017 collision runs is measured to be more than 96% for the nominal RPC chambers

RPC radiation background simulations for the high luminosity phase in the CMS experiment

The high luminosity expected from the HL-LHC will be a challenge for the CMS detector. The increased rate of particles coming from the collisions and the radioactivity induced in the detector material could cause significant damage and result in a progressive degradation of its performance. Simulation studies are very useful in these scenarios as they allow one to study the radiation environment and the impact on detector performance. Results are presented for CMS RPC stations considering the operating conditions expected at the HL-LHC

The CMS RPC detector performance and stability during LHC RUN-2

The CMS experiment, located at the Large Hadron Collider (LHC) in CERN, has a redundant muon system composed by three different gaseous detector technologies: Cathode Strip Chambers (in the forward regions), Drift Tubes (in the central region), and Resistive Plate Chambers (both its central and forward regions). All three are used for muon reconstruction and triggering. The CMS RPC system confers robustness and redundancy to the muon trigger. The RPC system operation in the challenging background and pileup conditions of the LHC environment is presented. The RPC system provides information to all muon track finders and thus contributing to both muon trigger and reconstruction. The summary of the detector performance results obtained with proton-proton collision at root s = 13 TeV during 2016 and 2017 data taking have been presented. The stability of the system is presented in terms of efficiency and cluster size vs time and increasing instantaneous luminosity. Data-driven predictions about the expected performance during High Luminosity LHC (HL-LHC) stage have been reported

ECMO for COVID-19 patients in Europe and Israel

Since March 15th, 2020, 177 centres from Europe and Israel have joined the study, routinely reporting on the ECMO support they provide to COVID-19 patients. The mean annual number of cases treated with ECMO in the participating centres before the pandemic (2019) was 55. The number of COVID-19 patients has increased rapidly each week reaching 1531 treated patients as of September 14th. The greatest number of cases has been reported from France (n = 385), UK (n = 193), Germany (n = 176), Spain (n = 166), and Italy (n = 136) .The mean age of treated patients was 52.6 years (range 16–80), 79% were male. The ECMO configuration used was VV in 91% of cases, VA in 5% and other in 4%. The mean PaO2 before ECMO implantation was 65 mmHg. The mean duration of ECMO support thus far has been 18 days and the mean ICU length of stay of these patients was 33 days. As of the 14th September, overall 841 patients have been weaned from ECMO support, 601 died during ECMO support, 71 died after withdrawal of ECMO, 79 are still receiving ECMO support and for 10 patients status n.a. . Our preliminary data suggest that patients placed on ECMO with severe refractory respiratory or cardiac failure secondary to COVID-19 have a reasonable (55%) chance of survival. Further extensive data analysis is expected to provide invaluable information on the demographics, severity of illness, indications and different ECMO management strategies in these patients