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The coronavirus disease 2019 (COVID-19) pandemic has magnified disparities in care, including within reproductive health. There has been limited research on the implications of the financial calamity COVID-19 has precipitated on reproductive health, including restricted access to contraception and prenatal care, as well as adverse perinatal outcomes resulting from economic contracture. We therefore examined the Great Recession (the period of economic downturn from 2007–2009 also referred to as the 2008 recession) to discuss how the current financial difficulties may influence reproductive health now and in the years to come. The existing literature examining the impacts of economic downturn on reproductive health provides a resounding body of evidence supporting the need for state and federal investment in comprehensive reproductive health care. Policies directed at expanding access to programs such as Special Supplemental Nutrition Program for Women, Infants, and Children and Medicaid (WIC), extending Medicaid coverage to 12 months’ postpartum, continuing coverage for telehealth services, and lowering barriers to access through mobile care units would help mitigate anticipated effects of a recession on reproductive health.

Purpose To characterize pulmonary toxicities associated with the use of novel immune checkpoint inhibitors Methods Adverse event reports from immune checkpoint inhibitors targeting PD-1/L1 and CTLA-4 were captured from the W.H.O pharmacovigilance database (VigiBase) up until Dec. 31st 2019 and were analyzed to evaluate for measures of association between the use of immune checkpoint inhibitors and pulmonary toxicities. Disproportionality analysis using both frequentist and Bayesian approaches were used to detect signals between pulmonary immune-related adverse events and the use of these agents. Results A total of 9202 adverse pulmonary immune checkpoint inhibitor-related events were captured up until 2019. Adverse pulmonary events were compromised of 1305 airway, 18 alveolar, 5491 interstitial, 898 pleural, 560 vascular and 939 non-specific pulmonary events. We found a common association between all immune checkpoint inhibitors studied and pneumonitis, interstitial lung disease, pulmonary embolism and respiratory failure. We also noted other associations between immune checkpoint inhibitors, however not as uniformly across agents. Most of these immune-related adverse drug reactions were noted to be severe and accounted for a significant source of mortality in the reported cases. Conclusion Immune checkpoint inhibitors are associated with a spectrum of inflammatory pulmonary toxicities. The breadth of pulmonary complications and prevalence may be underappreciated with the use of these agents.

Assessing perioperative risk is essential for surgical decision-making. Our study compares the accuracy of comorbidity indices to predict morbidity and mortality. Analyzing the National Surgical Quality Improvement Program, 16 major procedures were identified and American Society of Anesthesiologists (ASA), Charlson Comorbidity Index and modified Frailty Index were calculated. We fit models with each comorbidity index for prediction of morbidity, mortality, and prolonged length of stay (pLOS). Decision Curve Analysis determined the effectiveness of each model. Of 650,437 patients, 11.7%, 6.0%, 17.0% and 0.75% experienced any, major complication, pLOS, and mortality, respectively. Each index was an independent predictor of morbidity, mortality, and pLOS (p < 0.05). While the indices performed similarly for morbidity and pLOS, ASA demonstrated greater net benefit for threshold probabilities of 1–5% for mortality. Models including readily available factors (age, sex) already provide a robust estimation of perioperative morbidity and mortality, even without considering comorbidity indices. All comorbidity indices show similar accuracy for prediction of morbidity and pLOS, while ASA, the score easiest to calculate, performs best in prediction of mortality. •Using comorbidity indices for prediction of perioperative morbidity and mortality.•ASA score, frailty index and CCI perform similarly for prediction of morbidity.•ASA score, the easiest to calculate, performs better for prediction of mortality.•Decision curve analysis determines the effectiveness of prediction models.

Childhood obesity represents a major and growing public health challenge, with a disproportionate burden in low‐ and middle‐income countries (LMICs). This systematic review will address a critical evidence gap by synthesising existing research on the effectiveness of interventions for the prevention and treatment of childhood obesity in LMICs. By focusing exclusively on interventions implemented within LMIC contexts, the review will account for the unique socio‐cultural, economic, and environmental determinants that influence intervention delivery and effectiveness in these settings. A literature search will be conducted across MEDLINE/PubMed, Embase, CINAHL, and The Cochrane Library, without restrictions on publication date or language. Randomised controlled trials (RCTs) examining interventions for the prevention or treatment of overweight and obesity among children aged 5–9 years and adolescents aged 10–19 years will be included. The primary outcomes will be age‐adjusted body mass index (BMI), other measures of adiposity, and the prevalence of overweight and obesity. Secondary outcomes including dietary intake, physical activity, health‐related quality of life, and adverse events will be reported narratively but excluded from the meta‐analysis. Two independent reviewers will screen the studies, data extraction, and risk of bias assessment. Intervention effectiveness will first be summarised descriptively according to intervention type and key characteristics. Where appropriate, pooled effect sizes will be estimated using a random‐effects meta‐analysis. To explore and manage heterogeneity, analyses will be stratified by age group (children vs adolescents) and intervention purpose (prevention vs treatment). This review will identify effective strategies for preventing and treating childhood obesity in LMICs and explore the intervention features associated with successful outcomes. The findings will inform policy development and support the design and implementation of contextually appropriate interventions, contributing to global efforts to reduce obesity and prevent non‐communicable diseases (NCDs).

Background: The MANIFEST study in eastern Uganda employed a participatory multisectoral approach to reduce barriers to access to maternal and newborn care services. Objectives: This study analyses the effect of the intervention on the utilization of maternal and newborn services and care practices. Methods: The quasi-experimental pre- and post-comparison design had two main components: community mobilization and empowerment, and health provider capacity building. The primary outcomes were utilization of antenatal care (ANC), delivery and postnatal care, and newborn care practices. Baseline (n = 2237) and endline (n = 1946) data were collected from women of reproductive age. The  data was analysed using difference in differences (DiD) analysis and  logistic regression. Results: The DiD results revealed an 8% difference in early ANC attendance (p < 0.01) and facility delivery (p < 0.01). Facility delivery increased from 66% to 73% in the intervention area, but remained unchanged in the comparison area (64% vs 63%, p < 0.01). The DiD results also demonstrated a 20% difference in clean cord care (p < 0.001) and an 8% difference in delayed bathing (p < 0.001). The intervention elements that predicted facility delivery were attending ANC four times [adjusted odds ratio (aOR) 1.42, 95% confidence interval (CI) 1.17-1.74] and saving for maternal health (aOR 2.11, 95% CI 1.39-3.21). Facility delivery and village health team (VHT) home visits were key predictors for clean cord care and skin-to-skin care. Conclusions: The multisectoral approach had positive effects on early ANC attendance, facility deliveries and newborn care practices. Community resources such as VHTs and savings are crucial to maternal and newborn outcomes and should be supported. VHT-led health education should incorporate practical measures that enable families to save and access transport services to enhance adequate preparation for birth.

Background: Evidence on effective ways of improving maternal and neonatal health outcomes is widely available. The challenge that most low-income countries grapple with is implementation at scale and sustainability. Objectives: The study aimed at improving access to quality maternal and neonatal health services in a sustainable manner by using a participatory action research approach. Methods: The  study consisted of a quasi-experimental design, with a participatory action research approach to implementation in three rural districts (Pallisa, Kibuku and Kamuli) in Eastern Uganda. The intervention had two main components; namely, community empowerment for comprehensive birth preparedness, and health provider and management capacity-building. We collected data using both quantitative and qualitative methods using household and facility-level structured surveys, record reviews, key informant interviews and focus group discussions. We purposively selected the participants for the qualitative data collection, while for the surveys we interviewed all eligible participants in the sampled households and health facilities. Descriptive statistics were used to describe the data, while the difference in difference analysis was used to measure the effect of the intervention. Qualitative data were analysed using thematic analysis. Conclusions: This study was implemented to generate evidence on how to increase access to quality maternal and newborn health services in a sustainable manner using a multisectoral participatory  approach.