RESUMO
Previous research in the US has found negative health effects of contamination when it triggers regulatory violations. An important question is whether levels of contamination that do not trigger a health-based violation impact health. We study the impact of drinking water contamination in community water systems on birth outcomes using drinking water sampling results data in Pennsylvania. We focus on the effects of water contamination for births not exposed to regulatory violations. Our most rigorous specification employs mother fixed effects and finds changing from the 10th to the 90th percentile of water contamination (among births not exposed to regulatory violations) increases low birth weight by 12% and preterm birth by 17%.
RESUMO
BACKGROUND: Although the COVID-19 pandemic has persisted for over 3 years, reinfections with SARS-CoV-2 are not well understood. We aim to characterize reinfection, understand development of Long COVID after reinfection, and compare severity of reinfection with initial infection. METHODS: We use an electronic health record study cohort of over 3 million patients from the National COVID Cohort Collaborative as part of the NIH Researching COVID to Enhance Recovery Initiative. We calculate summary statistics, effect sizes, and Kaplan-Meier curves to better understand COVID-19 reinfections. RESULTS: Here we validate previous findings of reinfection incidence (6.9%), the occurrence of most reinfections during the Omicron epoch, and evidence of multiple reinfections. We present findings that the proportion of Long COVID diagnoses is higher following initial infection than reinfection for infections in the same epoch. We report lower albumin levels leading up to reinfection and a statistically significant association of severity between initial infection and reinfection (chi-squared value: 25,697, p-value: <0.0001) with a medium effect size (Cramer's V: 0.20, DoF = 3). Individuals who experienced severe initial and first reinfection were older in age and at a higher mortality risk than those who had mild initial infection and reinfection. CONCLUSIONS: In a large patient cohort, we find that the severity of reinfection appears to be associated with the severity of initial infection and that Long COVID diagnoses appear to occur more often following initial infection than reinfection in the same epoch. Future research may build on these findings to better understand COVID-19 reinfections.
More than three years after the start of the COVID-19 pandemic, individuals are frequently reporting multiple COVID-19 infections. However, these reinfections remain poorly understood. Here, we investigate COVID-19 reinfections in a large electronic health record cohort of over 3 million patients. We use data summary techniques and statistical tests to characterize reinfections and their relationships with disease severity, biomarkers, and Long COVID. We find that individuals with severe initial infection are more likely to experience severe reinfection, that some protein levels are lower, leading to reinfection, and that a lower proportion of individuals are diagnosed with Long COVID following reinfection than initial infection. Our work highlights the prevalence and impact of reinfections and suggests the need for further research.
RESUMO
Traffic related air pollution is a major concern for perinatal health. Determining causal associations, however, is difficult since high-traffic areas tend to correspond with lower socioeconomic neighborhoods and other environmental exposures. To overcome confounding, we compared pregnant individuals living downwind and upwind of the same high-traffic road. We leveraged vital statistics data for Texas from 2007-2016 (n=3,570,272 births) and computed hourly wind estimates for residential addresses within 500 m of high-traffic roads (i.e., annual average daily traffic greater than 25,000) (10.9% of births). We matched pregnant individuals predominantly upwind to pregnant neighbors downwind of the same road segment (n=37,631 pairs). Living downwind was associated with an 11.6 gram (95% CI: -18.01, -5.21) decrease in term birth weight. No associations were observed with low term birth weight, preterm birth, or very preterm birth. In distance-stratified models, living downwind within 50 m was associated with a -36.3 gram (95% CI: -67.74, -4.93) decrease in term birth weight and living 51-100m downwind was associated with an odds ratio of 3.68 (95% CI: 1.71, 7.90) for very preterm birth. These results suggest traffic air pollution is associated with adverse birth outcomes, with steep distance decay gradients around major roads.
RESUMO
Objective: Determine the incidence of vestibular disorders in patients with SARS-CoV-2 compared to the control population. Study Design: Retrospective. Setting: Clinical data in the National COVID Cohort Collaborative database (N3C). Methods: Deidentified patient data from the National COVID Cohort Collaborative database (N3C) were queried based on variant peak prevalence (untyped, alpha, delta, omicron 21K, and omicron 23A) from covariants.org to retrospectively analyze the incidence of vestibular disorders in patients with SARS-CoV-2 compared to control population, consisting of patients without documented evidence of COVID infection during the same period. Results: Patients testing positive for COVID-19 were significantly more likely to have a vestibular disorder compared to the control population. Compared to control patients, the odds ratio of vestibular disorders was significantly elevated in patients with untyped (odds ratio [OR], 2.39; confidence intervals [CI], 2.29-2.50; P < 0.001), alpha (OR, 3.63; CI, 3.48-3.78; P < 0.001), delta (OR, 3.03; CI, 2.94-3.12; P < 0.001), omicron 21K variant (OR, 2.97; CI, 2.90-3.04; P < 0.001), and omicron 23A variant (OR, 8.80; CI, 8.35-9.27; P < 0.001). Conclusions: The incidence of vestibular disorders differed between COVID-19 variants and was significantly elevated in COVID-19-positive patients compared to the control population. These findings have implications for patient counseling and further research is needed to discern the long-term effects of these findings.
RESUMO
COVID-19 vaccines have been shown to be effective in preventing severe illness, including among pregnant persons. The vaccines appear to be safe in pregnancy, supporting a continuously favorable overall risk/benefit profile, though supportive data for the U.S. over different periods of variant predominance are lacking. We sought to analyze the association of adverse pregnancy outcomes with COVID-19 vaccinations in the pre-Delta, Delta, and Omicron SARS-CoV-2 variants' dominant periods (constituting 50% or more of each pregnancy) for pregnant persons in a large, nationally sampled electronic health record repository in the U.S. Our overall analysis included 311,057 pregnant persons from December 2020 to October 2023 at a time when there were approximately 3.6 million births per year. We compared rates of preterm births and stillbirths among pregnant persons who were vaccinated before or during pregnancy to persons vaccinated after pregnancy or those who were not vaccinated. We performed a multivariable Poisson regression with generalized estimated equations to address data site heterogeneity for preterm births and unadjusted exact models for stillbirths, stratified by the dominant variant period. We found lower rates of preterm birth in the majority of modeled periods (adjusted incidence rate ratio [aIRR] range: 0.42 to 0.85; p-value range: <0.001 to 0.06) and lower rates of stillbirth (IRR range: 0.53 to 1.82; p-value range: <0.001 to 0.976) in most periods among those who were vaccinated before or during pregnancy compared to those who were vaccinated after pregnancy or not vaccinated. We largely found no adverse associations between COVID-19 vaccination and preterm birth or stillbirth; these findings reinforce the safety of COVID-19 vaccination during pregnancy and bolster confidence for pregnant persons, providers, and policymakers in the importance of COVID-19 vaccination for this group despite the end of the public health emergency.
RESUMO
Traffic-related air pollution (TRAP) poses a significant public health risk that is associated with adverse birth outcomes. Large roadway infrastructure projects present a natural experiment to examine how resulting congestion change is associated with adverse birth outcomes for nearby populations. This study is designed to examine the influence of living close to a roadway before, during, and after a construction project using a difference-in-differences design. We integrated data on all large roadway construction projects (defined as widening of existing roads, building new roads, improving bridges, installing intelligent transportation systems, improving intersections, and installing or upgrading traffic signals) in Texas from 2007 to 2016 with Vital Statistic data for all births with residential addresses within 1 km of construction projects. Our outcomes included term low birth weight, term birth weight, preterm birth, and very preterm birth. Using a difference-in-differences design, we included births within 3 years of construction start and 2 years of construction end. In our main model, the exposed group is limited to pregnant individuals residing within 300 m of a construction project, and the control group includes those living within 300-1000 m from a project. We used regression models to estimate the influence of construction on infant health. We included 1,360 large roadway construction projects linked to 408,979 births. During construction, we found that the odds of term low birth weight increased by 19% (95% CI: 1.05, 1.36). However, we saw little evidence of an association for other birth outcomes. Contrary to our hypothesis of decreased TRAP after construction ends, we did not observe consistent improvements post-construction for pregnant individuals living within 300 m. Continued consideration of the influence of traffic congestion programs on birth outcomes is necessary to inform future policy decisions.
Assuntos
Poluição do Ar , Saúde do Lactente , Humanos , Texas , Poluição do Ar/análise , Poluição do Ar/efeitos adversos , Feminino , Recém-Nascido , Gravidez , Lactente , Poluição Relacionada com o Tráfego/efeitos adversos , Poluição Relacionada com o Tráfego/análise , Poluentes Atmosféricos/análise , Emissões de Veículos/análise , Recém-Nascido de Baixo Peso , Peso ao Nascer/efeitos dos fármacos , Nascimento Prematuro/epidemiologia , AdultoRESUMO
Background: Community socioeconomic deprivation (CSD) may be related to higher oil and natural gas development (OGD) exposure. We tested for distributive and benefit-sharing environmental injustice in Pennsylvania's Marcellus Shale by examining (1) whether OGD and waste disposal occurred disproportionately in more deprived communities and (2) discordance between the location of land leased for OGD and where oil and gas rights owners resided. Materials and Methods: Analyses took place at the county subdivision level and considered OGD wells, waste disposal, and land lease agreement locations from 2005 to 2019. Using 2005-2009 American Community Survey data, we created a CSD index relevant to community vulnerability in suburban/rural areas. Results: In adjusted regression models accounting for spatial dependence, we observed no association between the CSD index and conventional or unconventional drilled well presence. However, a higher CSD index was linearly associated with odds of a subdivision having an OGD waste disposal site and receiving a larger volume of waste. A higher percentage of oil and gas rights owners lived in the same county subdivision as leased land when the community was least versus most deprived (66% vs. 56% in same county subdivision), suggesting that individuals in more deprived communities were less likely to financially benefit from OGD exposure. Discussion and Conclusions: We observed distributive environmental injustice with respect to well waste disposal and benefit-sharing environmental injustice related to oil and rights owner's residential locations across Pennsylvania's Marcellus Shale. These results add evidence of a disparity between exposure and benefits resulting from OGD.
RESUMO
We conducted a service evaluation of the medical support worker (MSW) role at Oxford University Hospitals NHS Foundation Trust following the Coronavirus 2019 (COVID-19) pandemic. The aim was to explore the roles of MSWs, their contributions to the NHS, factors influencing their career choices, and the goals of the MSW position, to inform quality improvement in relation to their integration into the Trust. The perspectives of MSWs, their supervisors and recruiters were analysed through nine semi-structured interviews and two focus group discussions involving 18 participants. Results were categorised into micro-, meso-, and macro-levels of the health system. At the micro-level, MSWs were recognised as a diverse group of highly qualified international medical graduates (IMGs) who had a crucial role during the pandemic. At the meso-level, participants emphasised the importance of a comprehensive induction by the hospital, to clarify responsibilities and familiarise MSWs with the health system. At the macro-level, the role facilitated MSW integration within the NHS, with the aim of practising as doctors. The importance of comprehensive hospital induction, with role clarity for both MSWs and their teams, supportive supervision and assistance with applying for registration with the General Medical Council, were highlighted as key quality improvement areas.
Assuntos
COVID-19 , Pandemias , Humanos , Hospitais Universitários , Medicina Estatal , Reino Unido/epidemiologiaRESUMO
Our study objective was to explore possible pathways by which neighborhood-level characteristics drive COVID-19 vaccination among communities experiencing health inequity and disparities. To do so, we conducted semi-structured qualitative interviews with stakeholders in the Finger Lakes region of New York between November 2022 through January 2023. Using a pre-developed interview guide informed by the Health Belief Model, we elicited county health commissioner, medical professional and community-health partner's perspectives regarding the impact community determinants have on shaping barriers to and facilitators of COVID-19 vaccine uptake, as well as recommended solutions for ensuring health equity in future vaccination efforts. Fifteen stakeholders were interviewed, of which 40% were county health commissioners, 27% hospital executives and 33% community-health organization partners. We identified diverse perceived and logistical barriers to COVID-19 vaccination that emerged as sub-themes including perceived risks outweighing the benefits of vaccination, concerns of vaccine safety, distrust stemming from changing scientific knowledge surrounding the vaccines, mistrust of the medical system, and challenges with transportation to and registering for vaccine appointments. Stakeholders reported these barriers were linked to the racial diversity, poverty, political conservatism, and availability of health care of the communities where they reported these were experienced. Notable solutions for improving equitable vaccination included facilitating structural access to vaccination and engaging community trusted messengers. Perceived and experienced barriers to COVID-19 vaccination may differ based upon the social, racial and economic composition of neighboring communities. Strategies for ensuring health equity in future vaccination campaigns should specifically target prevalent barriers based upon the community composition.
Assuntos
COVID-19 , Equidade em Saúde , Humanos , Vacinas contra COVID-19 , COVID-19/prevenção & controle , Vacinação , Instalações de SaúdeRESUMO
This article was migrated. The article was marked as recommended. As healthcare increases in complexity there is growing awareness that interprofessional teamwork underpins safe and effective care delivery. However, in order to collaborate in interprofessional teams, health professionals must also train in them. Despite increasing interest in IPE amongst healthcare educators, and positive comments from students, barriers to its implementation remain. The authors of this article come from different healthcare professions and have overcome the challenges of developing IPE to devise several successful activities. This article outlines the educational benefits of IPE and provides guidance for surmounting obstacles to its implementation, supported by examples from our own experience.