Defining and estimating effects in cluster randomized trials: A methods comparison.

Across research disciplines, cluster randomized trials (CRTs) are commonly implemented to evaluate interventions delivered to groups of participants, such as communities and clinics. Despite advances in the design and analysis of CRTs, several challenges remain. First, there are many possible ways to specify the causal effect of interest (eg, at the individual-level or at the cluster-level). Second, the theoretical and practical performance of common methods for CRT analysis remain poorly understood. Here, we present a general framework to formally define an array of causal effects in terms of summary measures of counterfactual outcomes. Next, we provide a comprehensive overview of CRT estimators, including the t-test, generalized estimating equations (GEE), augmented-GEE, and targeted maximum likelihood estimation (TMLE). Using finite sample simulations, we illustrate the practical performance of these estimators for different causal effects and when, as commonly occurs, there are limited numbers of clusters of different sizes. Finally, our application to data from the Preterm Birth Initiative (PTBi) study demonstrates the real-world impact of varying cluster sizes and targeting effects at the cluster-level or at the individual-level. Specifically, the relative effect of the PTBi intervention was 0.81 at the cluster-level, corresponding to a 19% reduction in outcome incidence, and was 0.66 at the individual-level, corresponding to a 34% reduction in outcome risk. Given its flexibility to estimate a variety of user-specified effects and ability to adaptively adjust for covariates for precision gains while maintaining Type-I error control, we conclude TMLE is a promising tool for CRT analysis.

Super Divya to the rescue! Exploring Nurse Mentor Supervisor perceptions on a digital tool to support learning and engagement for simulation educators in Bihar, India.

BACKGROUND: Since 2014, the Government of Bihar and CARE India have implemented a nurse mentoring program that utilizes PRONTO International's simulation and team trainings to improve obstetric and neonatal care. Together they trained simulation educators known as Nurse Mentor Supervisors to conduct simulation trainings in rural health facilities across the state. Sustaining the knowledge and engagement of these simulation educators at a large-scale has proven difficult and resource intensive. To address this, the University of Utah with PRONTO International and with input from the University of California San Francisco, created an interactive, virtual education module based on a comic superhero named Super Divya to reinforce simulation educator concepts. This study examined the perceptions of Nurse Mentor Supervisors on Super Divya's accessibility, usefulness, and potential after implementation of Super Divya: Origin Story. METHODS: We conducted qualitative interviews with 17 Nurse Mentor Supervisors in Bihar, India. In light of the COVID-19 pandemic, interviews were conducted virtually via Zoom™ using a semi-structured interview guide in Hindi and English. Participants were identified with strict inclusion criteria and convenience sampling methods. Interviews were analyzed using a framework analysis. RESULTS: Nurse Mentor Supervisors found Super Divya to be engaging, innovative, relatable, and useful in teaching tips and tricks for simulation training. Supervisors thought the platform was largely accessible with some concerns around internet connectivity and devices. The majority reacted positively to the idea of distributing Super Divya to other simulation educators in the nurse mentoring program and had suggestions for additional clinical and simulation educator training topics. CONCLUSIONS: This study demonstrates the potential of Super Divya to engage simulation educators in continuous education. At a time when virtual education is increasingly important and in-person training was halted by the COVID-19 pandemic, Super Divya engaged Supervisors in the nurse mentoring program. We have incorporated suggestions for improvement of Super Divya into future modules. Further research can help understand how knowledge from Super Divya can improve simulation facilitation skills and behaviors, and explore potential for reinforcing clinical skills via this platform. ETHICAL APPROVAL: This study was approved by the institutional review board at the University of California San Francisco (IRB # 20-29902).

Training nurse simulation educators at scale to improve maternal and newborn health: a case study from Bihar, India.

BACKGROUND: Simulation has been shown to improve clinical and behavioral skills of birth attendants in low-resource settings at a low scale. Populous, low-resource settings such as Bihar, India, require large cadres of simulation educators to improve maternal and newborn health. It's unknown if simulation facilitation skills can be adopted through a train of trainers' cascade. To fill this gap, we designed a study to evaluate the simulation and debrief knowledge, attitudes and skills of a third generation of 701 simulation educators in Bihar, India. In addition, we assessed the physical infrastructure where simulation takes place in 40 primary healthcare facilities in Bihar, India. METHODS: We performed a 1 year before-after intervention study to assess the simulation facilitation strengths and weaknesses of a cadre of 701 nurses in Bihar, India. The data included 701 pre-post knowledge and attitudes self-assessments; videos of simulations and associated debriefs conducted by 701 providers at 40 primary healthcare centers. RESULTS: We observed a statistically significant difference in knowledge and attitude scores before and after the 4-day PRONTO simulation educator training. The average number of participants in a simulation video was 5 participants (range 3-8). The average length of simulation videos was 10:21 minutes. The simulation educators under study, covered behavioral in 90% of debriefs and cognitive objectives were discussed in all debriefs. CONCLUSION: This is the first study assessing the simulation and debrief facilitation knowledge and skills of a cadre of 701 nurses in a low-resource setting. Simulation was implemented by local nurses at 353 primary healthcare centers in Bihar, India. Primary healthcare centers have the physical infrastructure to conduct simulation training. Some simulation skills such as communication via whiteboard were widely adopted. Advanced skills such as eliciting constructive feedback without judgment require practice.

Correction: Ambient and household PM2.5 pollution and adverse perinatal outcomes: A meta-regression and analysis of attributable global burden for 204 countries and territories.

[This corrects the article DOI: 10.1371/journal.pmed.1003718.].

Ambient and household PM2.5 pollution and adverse perinatal outcomes: A meta-regression and analysis of attributable global burden for 204 countries and territories.

BACKGROUND: Particulate matter <2.5 micrometer (PM2.5) is associated with adverse perinatal outcomes, but the impact on disease burden mediated by this pathway has not previously been included in the Global Burden of Disease (GBD), Mortality, Injuries, and Risk Factors studies. We estimated the global burden of low birth weight (LBW) and preterm birth (PTB) and impacts on reduced birth weight and gestational age (GA), attributable to ambient and household PM2.5 pollution in 2019. METHODS AND FINDINGS: We searched PubMed, Embase, and Web of Science for peer-reviewed articles in English. Study quality was assessed using 2 tools: (1) Agency for Healthcare Research and Quality checklist; and (2) National Institute of Environmental Health Sciences (NIEHS) risk of bias questions. We conducted a meta-regression (MR) to quantify the risk of PM2.5 on birth weight and GA. The MR, based on a systematic review (SR) of articles published through April 4, 2021, and resulting uncertainty intervals (UIs) accounted for unexplained between-study heterogeneity. Separate nonlinear relationships relating exposure to risk were generated for each outcome and applied in the burden estimation. The MR included 44, 40, and 40 birth weight, LBW, and PTB studies, respectively. Majority of the studies were of retrospective cohort design and primarily from North America, Europe, and Australia. A few recent studies were from China, India, sub-Saharan Africa, and South America. Pooled estimates indicated 22 grams (95% UI: 12, 32) lower birth weight, 11% greater risk of LBW (1.11, 95% UI: 1.07, 1.16), and 12% greater risk of PTB (1.12, 95% UI: 1.06, 1.19), per 10 µg/m3 increment in ambient PM2.5. We estimated a global population-weighted mean lowering of 89 grams (95% UI: 88, 89) of birth weight and 3.4 weeks (95% UI: 3.4, 3.4) of GA in 2019, attributable to total PM2.5. Globally, an estimated 15.6% (95% UI: 15.6, 15.7) of all LBW and 35.7% (95% UI: 35.6, 35.9) of all PTB infants were attributable to total PM2.5, equivalent to 2,761,720 (95% UI: 2,746,713 to 2,776,722) and 5,870,103 (95% UI: 5,848,046 to 5,892,166) infants in 2019, respectively. About one-third of the total PM2.5 burden for LBW and PTB could be attributable to ambient exposure, with household air pollution (HAP) dominating in low-income countries. The findings should be viewed in light of some limitations such as heterogeneity between studies including size, exposure levels, exposure assessment method, and adjustment for confounding. Furthermore, studies did not separate the direct effect of PM2.5 on birth weight from that mediated through GA. As a consequence, the pooled risk estimates in the MR and likewise the global burden may have been underestimated. CONCLUSIONS: Ambient and household PM2.5 were associated with reduced birth weight and GA, which are, in turn, associated with neonatal and infant mortality, particularly in low- and middle-income countries.

Training and evaluating simulation debriefers in low-resource settings: lessons learned from Bihar, India.

BACKGROUND: To develop effective and sustainable simulation training programs in low-resource settings, it is critical that facilitators are thoroughly trained in debriefing, a critical component of simulation learning. However, large knowledge gaps exist regarding the best way to train and evaluate debrief facilitators in low-resource settings. METHODS: Using a mixed methods approach, this study explored the feasibility of evaluating the debriefing skills of nurse mentors in Bihar, India. Videos of obstetric and neonatal post-simulation debriefs were assessed using two known tools: the Center for Advanced Pediatric and Perinatal Education (CAPE) tool and Debriefing Assessment for Simulation in Healthcare (DASH). Video data was used to evaluate interrater reliability and changes in debriefing performance over time. Additionally, twenty semi-structured interviews with nurse mentors explored perceived barriers and enablers of debriefing in Bihar. RESULTS: A total of 73 debriefing videos, averaging 18 min each, were analyzed by two raters. The CAPE tool demonstrated higher interrater reliability than the DASH; 13 of 16 CAPE indicators and two of six DASH indicators were judged reliable (ICC > 0.6 or kappa > 0.40). All indicators remained stable or improved over time. The number of 'instructors questions,' the amount of 'trainee responses,' and the ability to 'organize the debrief' improved significantly over time (p < 0.01, p < 0.01, p = 0.04). Barriers included fear of making mistakes, time constraints, and technical challenges. Enablers included creating a safe learning environment, using contextually appropriate debriefing strategies, and team building. Overall, nurse mentors believed that debriefing was a vital aspect of simulation-based training. CONCLUSION: Simulation debriefing and evaluation was feasible among nurse mentors in Bihar. Results demonstrated that the CAPE demonstrated higher interrater reliability than the DASH and that nurse mentors were able to maintain or improve their debriefing skills overtime. Further, debriefing was considered to be critical to the success of the simulation training. However, fear of making mistakes and logistical challenges must be addressed to maximize learning. Teamwork, adaptability, and building a safe learning environment enhanced the quality enhanced the quality of simulation-based training, which could ultimately help to improve maternal and neonatal health outcomes in Bihar.

Simulation-enhanced nurse mentoring to improve preeclampsia and eclampsia care: an education intervention study in Bihar, India.

BACKGROUND: Inadequately treated, preeclampsia and eclampsia (PE/E) may rapidly lead to severe complications in both mothers and neonates, and are estimated to cause 60,000 global maternal deaths annually. Simulation-based training on obstetric and neonatal emergency management has demonstrated promising results in low- and middle-income countries. However, the impact of simulation training on use of evidence-based practices for PE/E diagnosis and management in low-resource settings remains unknown. METHODS: This study was based on a statewide, high fidelity in-situ simulation training program developed by PRONTO International and implemented in collaboration with CARE India on PE/E management in Bihar, India. Using a mixed methods approach, we evaluated changes over time in nurse mentees' use of evidence-based practices during simulated births at primary health clinics. We compared the proportion and efficiency of evidence-based practices completed during nurse mentees' first and last participation in simulated PE/E cases. Twelve semi-structured interviews with nurse mentors explored barriers and enablers to high quality PE/E care in Bihar. RESULTS: A total of 39 matched first and last simulation videos, paired by facility, were analyzed. Videos occurred a median of 62 days apart and included 94 nurses from 33 primary health centers. Results showed significant increases in the median number of 'key history questions asked,' (1.0 to 2.0, p = 0.03) and 'key management steps completed,' (2.0 to 3.0, p = 0.03). The time from BP measured to magnesium sulfate given trended downwards by 3.2 min, though not significantly (p = 0.06). Key barriers to high quality PE/E care included knowledge gaps, resource shortages, staff hierarchy between physicians and nurses, and poor relationships with patients. Enablers included case-based and simulation learning, promotion of teamwork and communication, and effective leadership. CONCLUSION: Simulation training improved the use of evidence-based practices in PE/E simulated cases and has the potential to increase nurse competency in diagnosing and managing complex maternal complications such as PE/E. However, knowledge gaps, resource limitations, and interpersonal barriers must be addressed in order to improve care. Teamwork, communication, and leadership are key mechanisms to facilitate high quality PE/E care in Bihar.

Effect of fly ash amendment on metolachlor and atrazine degradation and microbial activity in two soils.

The study reports the effect of Inderprastha (IP) and Badarpur (BP) fly ashes on degradation of metolachlor and atrazine in Inceptisol and Alfisol soils. Metolachlor dissipated at faster rate in Alfisol (t1/2 8.2-8.6 days) than in Inceptisol (t1/2 13.2-14.3 days). The fly ashes enhanced the persistence of metolachlor in both the soils; however, the extent of effect was more in Inceptisol (t1/2 16.6-33.8 days) than Alfisol (t1/2 8.4-12 days) and effect increased with fly ash dose. 2-Ethyl-6-methylacetanilide was detected as the only metabolite of metolachlor. Atrazine was more persistent in flooded soils (t1/2 10.8-20.3 days) than nonflooded soils (t1/2 3.7-12.6 days) and fly ash increased its persistence, but effect was more pronounced in the flooded Inceptisol (t1/2 23.7-31 days) and nonflooded Alfisol (t1/2 6.3-10.1 days). Increased herbicide sorption in the fly ash-amended soils might have contributed to the increased pesticide persistence. The IP fly ash inhibited microbial biomass carbon at 5 % amendment levels in both the soils, while BP fly ash slightly increased microbial biomass carbon (MBC) content. Dehydrogenase activity was inhibited by both fly ashes in both the soils with maximum inhibition observed in the IP fly ash-amended Alfisol. No significant effect of fly ash amendment was observed on the fluorescein diacetate activity.

Simultaneous removal of pesticides from water by rice husk ash: batch and column studies.

The present study evaluated rice husk ash (RHA) as an adsorbent for simultaneous removal of a mixture of seven different pesticides (alachlor, metolachlor, chlorpyriphos, fipronil, α-endosulfan, ß-endosulfan, and p,p'-DDT) and two metabolites (p,p'-DDE and endosulfan sulfate) from water. The adsorbent RHA was prepared in the laboratory and characterized by techniques such as X-ray diffraction spectroscopy, Fourier transform infrared spectroscopy, and scanning electron microscopy/energy-dispersive X-ray spectrometry. Adsorption kinetics were well described by the pseudo-second-order kinetic model. The Freundlich isotherm model fitted the equilibrium data better than the Langmuir model, and the maximum sorption capacity varied from 0.078 to 0.166 mg/g. The column elution studies showed that 10 L of mixed pesticide-contaminated water (0.05 mg/L) can be treated with only 10 g of RHA at a removal efficiency of 90%. The results implied that RHA can be used as a low-cost, easily available, and efficient adsorbent for the simultaneous removal of pesticides from contaminated water.

Assessment of organochlorine pesticide residues in Indian flue-cured tobacco with gas chromatography-single quadrupole mass spectrometer.

Presence of pesticide residues in tobacco increases health risk of both active and passive smokers, apart from the imminent potential health problems associated with it. Thus, monitoring of pesticide residue is an important issue in terms of formulating stringent policies, enabling global trade and safeguarding the consumer's safety. In this study, a gas chromatography-single quadrupole mass spectrometry (GC-MS) method based upon quantifier-qualifier ions (m/z) ratio was employed for detecting and assessing ten organochlorine pesticide residues (α-HCH, ß-HCH, γ-HCH, δ-HCH, 2,4-DDT, 4,4-DDT, endrin, α-endosulfan, ß-endosulfan and endosulfan sulphate) in 152 flue-cured (FC) tobacco leave samples from two major tobacco growing states, Karnataka and Andhra Pradesh, of India. In the majority of samples, pesticide residue levels were below the limit of quantification (LOQ). In few samples, pesticide residues were detected and they found to comply with the guidance residue levels (GRL) specifications of the Cooperation Center for Scientific Research Relative to Tobacco (CORESTA). Detection of the phase out pesticides like DDT/HCH might be due to transfer of persistent residues from the environmental components to the plant. This is the first report on these ten organochlorine pesticide residues in Indian FC tobacco.

SARS-CoV-2 infection by trimester of pregnancy and adverse perinatal outcomes: a Mexican retrospective cohort study.

OBJECTIVE: Conflicting evidence for the association between COVID-19 and adverse perinatal outcomes exists. This study examined the associations between maternal COVID-19 during pregnancy and adverse perinatal outcomes including preterm birth (PTB), low birth weight (LBW), small-for-gestational age (SGA), large-for-gestational age (LGA) and fetal death; as well as whether the associations differ by trimester of infection. DESIGN AND SETTING: The study used a retrospective Mexican birth cohort from the Instituto Mexicano del Seguro Social (IMSS), Mexico, between January 2020 and November 2021. PARTICIPANTS: We used the social security administrative dataset from IMSS that had COVID-19 information and linked it with the IMSS routine hospitalisation dataset, to identify deliveries in the study period with a test for SARS-CoV-2 during pregnancy. OUTCOME MEASURES: PTB, LBW, SGA, LGA and fetal death. We used targeted maximum likelihood estimators, to quantify associations (risk ratio, RR) and CIs. We fit models for the overall COVID-19 sample, and separately for those with mild or severe disease, and by trimester of infection. Additionally, we investigated potential bias induced by missing non-tested pregnancies. RESULTS: The overall sample comprised 17 340 singleton pregnancies, of which 30% tested positive. We found that those with mild COVID-19 had an RR of 0.89 (95% CI 0.80 to 0.99) for PTB and those with severe COVID-19 had an RR of 1.53 (95% CI 1.07 to 2.19) for LGA. COVID-19 in the first trimester was associated with fetal death, RR=2.36 (95% CI 1.04, 5.36). Results also demonstrate that missing non-tested pregnancies might induce bias in the associations. CONCLUSIONS: In the overall sample, there was no evidence of an association between COVID-19 and adverse perinatal outcomes. However, the findings suggest that severe COVID-19 may increase the risk of some perinatal outcomes, with the first trimester potentially being a high-risk period.

Heat stable carbetocin or oxytocin for prevention of postpartum hemorrhage among women at risk: A secondary analysis of the CHAMPION trial.

OBJECTIVE: To examine whether the observed non-inferiority of heat-stable carbetocin (HSC), compared with oxytocin, was influenced by biologic (macrosomia, parity 3 or more, or history of postpartum hemorrhage [PPH]) and/or pharmacologic (induction or augmentation) risk factors for PPH. METHODS: The present study is a secondary analysis of the CHAMPION non-inferiority randomized trial-a two-arm, double-blind, active-controlled study conducted at 23 hospitals in 10 countries, between July 2015 and January 2018. Women with singleton pregnancies, expected to deliver vaginally with cervical dilatation up to 6 cm were eligible. Randomization was stratified by country, with 1:1 assignment. Women in the intervention and control groups received a single intramuscular injection of 100 µg of HSC or 10 IU of oxytocin, respectively. The drugs were administered immediately after birth, and the third stage of labor was managed according to the WHO guidelines. Blood was collected using a plastic drape. For this analysis, we defined a woman as being at risk if she had any one or more of the biologic or pharmacologic risk factor(s). RESULTS: The HSC and oxytocin arms contained 14 770 and 14 768 women, respectively. The risk ratios (RR) for PPH were 1.29 (95% confidence interval [CI] 1.08-1.53) or 1.73 (95% CI 1.51-1.98) for those with only biologic (macrosomia, parity 3 or more, and PPH in the previous pregnancy) or only pharmacologic (induced or augmented) risk factors, respectively, compared with those with neither risk factors. CONCLUSIONS: Findings reinforce previous evidence that macrosomia, high parity, history of PPH, and induction/augmentation are risk factors for PPH. We did not find a difference in effects between HSC and oxytocin for PPH among women who were neither induced nor augmented or among those who were induced or augmented.

Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning.

Background: Type 2 diabetes elevates the risk of severe outcomes in COVID-19 patients, with multiple studies reporting higher case fatality rates. Metformin is a widely used medication for glycemic management. We hypothesize that improved adherence to metformin may lower COVID-19 post-infection mortality risk in this group. Utilizing data from the Mexican Social Security Institute (IMSS), we investigate the relationship between metformin adherence and mortality following COVID-19 infection in patients with chronic metformin prescriptions. Methods: This is a retrospective cohort study consisting of 61,180 IMSS beneficiaries who received a positive polymerase chain reaction (PCR) or rapid test for SARS-CoV-2 and had at least two consecutive months of metformin prescriptions prior to the positive test. The hypothetical intervention is improved adherence to metformin, measured by proportion of days covered (PDC), with the comparison being the observed metformin adherence values. The primary outcome is all-cause mortality following COVID-19 infection. We defined the causal parameter using shift intervention, an example of modified treatment policies. We used the targeted learning framework for estimation of the target estimand. Findings: Among COVID-19 positive patients with chronic metformin prescriptions, we found that a 5% and 10% absolute increase in metformin adherence is associated with a respective 0.26% (95% CI: -0.28%, 0.79%) and 1.26% (95% CI: 0.72%, 1.80%) absolute decrease in mortality risk. Interpretation: Subject to the limitations of a real-world data study, our results indicate a causal association between improved metformin adherence and reduced COVID-19 post-infection mortality risk.

Factors influencing pregnancy care and institutional delivery in rural Mali: a secondary baseline analysis of a cluster-randomised trial.

OBJECTIVE: The vast majority of the 300 000 pregnancy-related deaths every year occur in South Asia and sub-Saharan Africa. Increased access to quality antepartum and intrapartum care can reduce pregnancy-related morbidity and mortality worldwide. We used a population-based cross-sectional cohort design to: (1) examine the sociodemographic risk factors and structural barriers associated with pregnancy care-seeking and institutional delivery, and (2) investigate the influence of residential distance to the nearest primary health facility in a rural population in Mali. METHODS: A baseline household survey of Malian women aged 15-49 years was conducted between December 2016 and January 2017, and those who delivereda baby in the 5 years preceding the survey were included. This study leverages the baseline survey data from a cluster-randomised controlled trial to conduct a secondary analysis. The outcomes were percentage of women who received any antenatal care (ANC) and institutional delivery; total number of ANC visits; four or more ANC visits; first ANC visit in the first trimester. RESULTS: Of the 8575 women in the study, two-thirds received any ANC in their last pregnancy, one in 10 had four or more ANC visits and among those that received any ANC, about one-quarter received it in the first trimester. For every kilometre increase in distance to the nearest facility, the likelihood of the outcomes reduced by 5 percentage points (0.95; 95% CI 0.91 to 0.98) for any ANC; 4 percentage points (0.96; 95% CI 0.94 to 0.98) for an additional ANC visit; 10 percentage points (0.90; 95% CI 0.86 to 0.95) for four or more ANC visits; 6 percentage points (0.94; 95% CI 0.94 to 0.98) for first ANC in the first trimester. In addition, there was a 35 percentage points (0.65; 95% CI 0.56 to 0.76) decrease in likelihood of institutional delivery if the residence was within 6.5 km to the nearest facility, beyond which there was no association with the place of delivery. We also found evidence of increase in likelihood of receiving any ANC care and its intensity increased with having some education or owning a business. CONCLUSION: The findings suggest that education, occupation and distance are important determinants of pregnancy and delivery care in a rural Malian context. TRIAL REGISTRATION NUMBER: NCT02694055.

Air pollutants, genes and early childhood acute bronchitis.

BACKGROUND: Studies have reported gene-by-environment interaction for chronic respiratory conditions but none on acute illnesses in children. We investigated, longitudinally, whether genotype modifies the relationship of environmental exposures (second-hand tobacco smoke, polycyclic aromatic hydrocarbons, particulate matter <2.5µm (PM2.5)) with acute bronchitis in children below two years. METHODS: A random sample of 1133 children, born between 1994 and 1998, in two districts of the Czech Republic, was followed-up from birth, of which 793 were genotyped. Pediatric records were abstracted for respiratory illnesses. Second-hand tobacco smoke exposure from household members was obtained through questionnaires and verified using urine cotinine. Air monitoring provided estimates of ambient polycyclic aromatic hydrocarbons and PM2.5. Additionally, we collected information on a range of potential confounders including breastfeeding history, indoor fuel use, other children in household, maternal characteristics, ambient temperature etc. DNA was extracted from tissues taken from the middle of the placenta, opposite the umbilical cord. We examined six single nucleotide polymorphisms (GSTM1, GSTP1, GSTT1, CYP1A1 MspI, EPHX1 exon 3 and 4) and one (EPHX1) diplotype. To investigate effect measure modification we constructed logistic regression models using generalized estimating equations (for repeated observations) stratified by genotypes. RESULTS: The EPHX1 low activity diplotype consistently imparts greater susceptibility to bronchitis from second-hand tobacco smoke, polyclic aromatic hydrocarbons (PAH) and PM2.5. Each of these three classes of exposure also showed elevated risk for bronchitis in the presence of either one or two histidines at exon 3 and exon 4 of EPHX1. Additional effect modifiers include CYP1A1 and GSTT1. CONCLUSION: Several xenobiotic metabolizing genes may modify the impact of second-hand tobacco smoke and ambient air pollutants, polycyclic aromatic hydrocarbons and PM2.5, on acute bronchitis in preschool children.

No improvement in socioeconomic inequalities in birthweight and preterm birth over four decades: a population-based cohort study.

BACKGROUND: Birthweight and gestational age are associated with socioeconomic deprivation, but the evidence in relation to temporal changes in these associations is sparse. We investigated changes in the associations between socioeconomic status (SES) and birthweight and gestational age in Newcastle upon Tyne, North of England, during 1961-2000. METHODS: We used population-based data from hospital neonatal records on all singleton births to mothers resident in Newcastle (births with complete covariate information n = 113,182). We used linear regression to analyse the associations between neighbourhood SES and birthweight over the entire 40-year period and by decade, and logistic regression for associations with low birthweight (LBW) and preterm birth, adjusting for potential confounders. RESULTS: There was a significant interaction between SES and decade of birth for birthweight (p = 0.028) and preterm birth (p < 0.001). Socioeconomic gradients were similar in each decade for birthweight outcomes, but for preterm birth, socioeconomic disparities were more evident in the later decades [for 1961-70, odds ratio (OR) was 1.1, 95% CI 0.9, 1.3, for the most deprived versus the least deprived quartile, while for 1991-2000, the corresponding OR was 1.5, 95% CI 1.3, 1.7]. In each decade, there was a significant decrease in birthweight adjusted for gestational age for the most deprived compared to the least deprived SES group [1961-1970: -113.4 g (95% CI-133.0, -93.8); 1991-2000: -97.5 g (95% CI-113.0, -82.0)], while there was a significant increase in birthweight in each SES group over time. CONCLUSIONS: Socioeconomic inequalities did not narrow over the four decades for birthweight and widened for preterm birth. Mean birthweight adjusted for gestational age increased in all socioeconomic groups, suggesting an overall increase in fetal growth.

Adsorption-desorption of metolachlor and atrazine in Indian soils: effect of fly ash amendment.

The effect of two fly ashes as soil amendment on the adsorption-desorption of metolachlor [2-chloro-N-(2-ethyl-6-methylphenyl)-N-(2-methoxy-1-methylphenyl)] and atrazine (2-chloro-4-ethylamino-6-isopropylamino-1,3,5-triazine) was studied in alluvial and laterite soils. The adsorption data for both the herbicides fitted well the Freundlich equation, and Freundlich adsorption coefficient (K (f)) increased with an increase of fly ash amount. Both the fly ashes differed in their extent to increase herbicide sorption, and the effect was different in different soils. Atrazine was sorbed more in the soils/soils + fly ash mixtures than the metolachlor. The K (f) values showed significant correlation with the amount of fly ash amendment (correlation coefficient, R > 0.982). The desorption isotherms also fitted the Freundlich equation, and desorption showed hysteresis which increased with an increase in the content of fly ash amendment. The free energy change (ΔG) indicated that the sorption process is exothermic, spontaneous, and physical in nature. The study has shown that fly ash as soil amendment significantly increased the sorption of metolachlor and atrazine, but the effect is soil- and fly ash-specific.

Adverse effects of temperature on perinatal and pregnancy outcomes: methodological challenges and knowledge gaps.

Evidence linking temperature with adverse perinatal and pregnancy outcomes is emerging. We searched for literature published until 30 January 2023 in PubMed, Web of Science, and reference lists of articles focusing on the outcomes that were most studied like preterm birth, low birth weight, stillbirth, and hypertensive disorders of pregnancy. A review of the literature reveals important gaps in knowledge and several methodological challenges. One important gap is the lack of knowledge of how core body temperature modulates under extreme ambient temperature exposure during pregnancy. We do not know the magnitude of non-modulation of body temperature during pregnancy that is clinically significant, i.e., when the body starts triggering physiologic counterbalances. Furthermore, few studies are conducted in places where extreme temperature conditions are more frequently encountered, such as in South Asia and sub-Saharan Africa. Little is also known about specific cost-effective interventions that can be implemented in vulnerable communities to reduce adverse outcomes. As the threat of global warming looms large, effective interventions are critically necessary to mitigate its effects.

A comic based interactive digital intervention to enhance facilitation skills of nurse mentors in public facilities - results of a pilot intervention in Bihar, India.

BACKGROUND: Various trainings are designed to educate nurses to become simulation educators. However, there are no good strategies to sustain their learnings and keep them engaged. We developed a series of 10 interactive digital storytelling comic episodes 'The Adventures of Super Divya (SD)' to strengthen simulation educator's facilitation knowledge, skills, confidence, and engagement. This endline evaluation presents results on the change in knowledge after watching the episodes and retention of that knowledge over 10 months. OBJECTIVES: The objectives of this pilot study are to: 1) assess the change in knowledge between the baseline and post-episode surveys; and 2) understand the retention of knowledge between the post-episode and the endline survey. METHODS: A human-centred design was used to create the episodes grounded in the lived experience of nurse simulation educators. The heroine of the comic is Divya, a 'Super Facilitator' and her nemesis is Professor Agni who wants to derail simulation as an educational strategy inside obstetric facilities. Professor Agni's schemes represent real-life challenges; and SD uses effective facilitation and communication to overcome them. The episodes were shared with a group of nurse mentors (NM) and nurse mentor supervisors (NMS) who were trained to be champion simulation educators in their own facilities. To assess change in knowledge, we conducted a baseline, nine post-episode surveys and an endline survey between May 2021 and February 2022. RESULTS: A total 110 NM and 50 NMS watched all 10 episodes and completed all of the surveys. On average, knowledge scores increased by 7-9 percentage points after watching the episodes. Comparison of survey responses obtained between 1 and 10 months suggest that the gain in knowledge was largely retained over time. CONCLUSIONS: Findings suggest that this interactive comic series was successful in a resource limited setting at engaging simulation educators and helped to maintain their facilitation knowledge over time.

Air pollution and child health impacts of decarbonization in 16 global cities: Modelling study.

Most research on the air pollution-related health effects of decarbonization has focused on adults. We assess the potential health benefits that could be achieved in children and young people in a global sample of 16 cities through global decarbonization actions. We modelled annual average concentrations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) at 1x1 km resolution in the cities using a general circulation/atmospheric chemistry model assuming removal of all global combustion-related emissions from land transport, industries, domestic energy use and power generation. We modelled the impact on childhood asthma incidence and adverse birth outcomes (low birthweight, pre-term births) using published exposure-response relationships. Removal of combustion emissions was estimated to decrease annual average PM2.5 by between 2.9 µg/m3 (8.4%) in Freetown and 45.4 µg/m3 (63.7%) in Dhaka. For NO2, the range was from 0.3 ppb (7.9%) in Freetown to 18.8 ppb (92.3%) in Mexico City. Estimated reductions in asthma incidence ranged from close to zero in Freetown, Tamale and Harare to 149 cases per 100,000 population in Los Angeles. For pre-term birth, modelled impacts ranged from a reduction of 135 per 100,000 births in Dar es Salaam to 2,818 per 100,000 births in Bhubaneswar and, for low birthweight, from 75 per 100,000 births in Dar es Salaam to 2,951 per 100,000 births in Dhaka. The large variations chiefly reflect differences in the magnitudes of air pollution reductions and estimated underlying disease rates. Across the 16 cities, the reduction in childhood asthma incidence represents more than one-fifth of the current burden, and an almost 10% reduction in pre-term and low birthweight births. Decarbonization actions that remove combustion-related emissions contributing to ambient PM2.5 and NO2 would likely lead to substantial but geographically-varied reductions in childhood asthma and adverse birth outcomes, though there are uncertainties in causality and the precision of estimates.