Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls

BACKGROUND: Low birth weight (LBW) is a significant public health concern given its association with early-life mortality and other adverse health consequences that can impact the entire life cycle. In many countries, accurate estimates of LBW prevalence are lacking due to inaccuracies in collection and gaps in available data. Our study aimed to determine LBW prevalence among facility-born infants in selected areas of Kenya and Tanzania and to assess whether the introduction of an intervention to improve the accuracy of birth weight measurement would result in a meaningfully different estimate of LBW prevalence than current practice. METHODS: We carried out a historically controlled intervention study in 22 health facilities in Kenya and three health facilities in Tanzania. The intervention included: provision of high-quality digital scales, training of nursing staff on accurate birth weight measurement, recording and scale calibration practices, and quality maintenance support that consisted of enhanced supervision and feedback (prospective arm). The historically controlled data were birth weights from the same facilities recorded in maternity registers for the same calendar months from the previous year measured using routine practices and manual scales. We calculated mean birth weight (95% confidence interval CI), mean difference in LBW prevalence, and respective risk ratio (95% CI) between study arms. RESULTS: Between October 2019 and February 2020, we prospectively collected birth weights from 8441 newborns in Kenya and 4294 in Tanzania. Historical data were available from 9318 newborns in Kenya and 12,007 in Tanzania. In the prospective sample, the prevalence of LBW was 12.6% (95% confidence intervals [CI]: 10.9%-14.4%) in Kenya and 18.2% (12.2%-24.2%) in Tanzania. In the historical sample, the corresponding prevalence estimates were 7.8% (6.5%-9.2%) and 10.0% (8.6%-11.4%). Compared to the retrospective sample, the LBW prevalence in the prospective sample was 4.8% points (3.2%-6.4%) higher in Kenya and 8.2% points (2.3%-14.0%) higher in Tanzania, corresponding to a risk ratio of 1.61 (1.38-1.88) in Kenya and 1.81 (1.30-2.52) in Tanzania. CONCLUSION: Routine birth weight records underestimate the risk of LBW among facility-born infants in Kenya and Tanzania. The quality of birth weight data can be improved by a simple intervention consisting of provision of digital scales and supportive training

The Future of Music Schools:European Perspectives

Music education in Europe reflects the colorful diversity and rich tradition of the cultural identities of our continent. Within the music education landscape music schools are institutions specially focused on the practices of music-making. The First European Music School Symposium, which took place at the University of Music and Performing Arts Vienna in October 2017, brought together more than 150 researchers and practitioners from twenty-five European countries. The two cooperating partners, European Music School Union and Austrian Conference of Music School Associations, ensured a lively exchange between research and practitioners. This post-symposium publication presents contributions from twenty-nine researchers from thirteen European countries and paints a multicolored picture of music schools in Europe

Geospatial Analysis of The Spreading of COVID-19 In The United States

The COVID-19 pandemic has been a big threat to public health and there is an increasing need for efficient modelling of pathogens, predicting the daily infection rates to reduce the spread of COVID-19. The Moran’s and Geary’s statistics showed significant spatial autocorrelation in the infection counts for the US COVID-19 data. Spatial regression using the simultaneous autoregression (SAR) and conditional autoregression (CAR) models indicate clear association between the confirmed cases and the number of population and the population density in both national county and state specific analyses. The SAR model provided a better model fit with the low AIC value, leaving no significant autocorrelation for the residuals. The approximate Bayesian computation (ABC) methods were used to provide a flexible posterior distribution of the infection rate for COVID-19 based on the first 100 days of the pandemic. Three different simulation methods such as ABC-Rejection, ABC- Markov Chain Monte Carlo (MCMC) and ABC- Sequential Monte Carlo (SMC) were employed and compared. These algorithms seem to give reasonable posterior estimates for the average daily infections when the likelihood calculations for the spread of a harmful pathogen become complex, or intractable entirely. The posterior distributions of ABC-MCMC and ABC-SMC provided plausible estimations covering all of the observed infection rates at different time points

Child growth and neurodevelopment after maternal antenatal antibiotic treatment

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A modular systematic review of antenatal interventions targeting modifiable environmental exposures in improving low birth weight

BACKGROUND: Low birth weight (LBW) increases the risk of short- and long-term morbidity and mortality from early life to adulthood. Despite research effort to improve birth outcomes the progress has been slow. OBJECTIVE: This systematic search and review of English language scientific literature on clinical trials aimed to compare the efficacy antenatal interventions to reduce environmental exposures including a reduction of toxins exposure, and improving sanitation, hygiene, and health-seeking behaviors, which target pregnant women to improve birth outcomes. METHODS: We performed eight systematic searches in MEDLINE (OvidSP), Embase (OvidSP), Cochrane Database of Systematic Reviews (Wiley Cochrane Library), Cochrane Central Register of Controlled Trials (Wiley Cochrane Library), CINAHL Complete (EbscoHOST) between 17 March 2020 and 26 May 2020. RESULTS: Four documents identified describe interventions to reduce indoor air pollution: two randomised controlled trials (RCTs), one systematic review and meta-analysis (SRMA) on preventative antihelminth treatment and one RCT on antenatal counselling against unnecessary caesarean section. Based on the published literature, interventions to reduce indoor air pollution (LBW: RR: 0.90 [0.56, 1.44], PTB: OR: 2.37 [1.11, 5.07]) or preventative antihelminth treatment (LBW: RR: 1.00 [0.79, 1.27], PTB: RR: 0.88 [0.43, 1.78]) are not likely to reduce the risk of LBW or Preterm birth (PTB). Data is insufficient on antenatal counselling against caesarian-sections. For other interventions, there is lack of published research data from RCTs. CONCLUSIONS: We conclude that there is a paucity of evidence from RCT on interventions that modify environmental risk factors during pregnancy to potentially improve birth outcomes. Magic bullets approach might not work and that it would be important to study the effect of the broader interventions, particularly in LMIC settings. Global interdisciplinary action to reduce harmful environmental exposures, is likely to help to reach global targets for LBW reduction and sustainably improve long-term population health

Antenatal interventions to address harmful behaviors and psychosocial risk factors in the prevention of low birth weight

BACKGROUND: Risk factors related to the harmful behaviors, psychosocial wellbeing, and socio-economic circumstances in the lives of pregnant women can lead to adverse birth outcomes, including low birth weight (LBW). OBJECTIVE: This systematic search and review aims to provide a comparative evidence synthesis on the effect of eleven antenatal interventions targeted to address psychosocial risk factors on adverse birth outcomes. METHODS: We searched MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials and CINAHL Complete between March 2020 and May 2020. We included randomized controlled trials (RCTs) and reviews of RCTs of eleven antenatal interventions for pregnant females reporting LBW, preterm birth (PTB), small-for-gestational-age or stillbirth as outcomes. For interventions where randomization was either not feasible or unethical, we accepted non-randomized controlled studies. RESULTS: Seven records contributed data to the quantitative estimates of the effect sizes and 23 contributed to narrative analysis. Psychosocial interventions for reducing smoking in pregnancy likely reduced the risk of LBW, and professionally provided psychosocial support for at-risk women possibly reduced the risk of PTB. Financial incentives or nicotine replacement therapy as smoking cessation aids, or virtually delivered psychosocial support did not appear to reduce the risk of adverse birth outcomes. The available evidence on these interventions was primarily from high-income countries. For other reviewed interventions (psychosocial interventions to reduce alcohol use, group based psychosocial support programs, intimate partner violence prevention interventions, antidepressant medication, and cash transfers) there was little evidence in any direction regarding the efficacy or the data was conflicting. CONCLUSIONS: Professionally provided psychosocial support during pregnancy in general and specifically as a means to reduce smoking can potentially contribute to improved newborn health. The gaps in the investments for research and implementation of psychosocial interventions should be addressed to better meet the global targets in LBW reduction