State Abortion Policies and Maternal Death in the United States, 2015‒2018

2021 ◽  
pp. e1-e9
Author(s):  
Dovile Vilda ◽  
Maeve E. Wallace ◽  
Clare Daniel ◽  
Melissa Goldin Evans ◽  
Charles Stoecker ◽  
...  
Keyword(s):  
United States ◽  
Maternal Mortality ◽  
Composite Index ◽  
State Level ◽  
The United States ◽  
Abortion Policy ◽  
Abortion Care ◽  
Unit Increase ◽  
Adjusted Rate ◽  
Rate Ratios

Objectives. To examine associations between state-level variation in abortion-restricting policies in 2015 and total maternal mortality (TMM), maternal mortality (MM), and late maternal mortality (LMM) from 2015 to 2018 in the United States. Methods. We derived an abortion policy composite index for each state based on 8 state-level abortion-restricting policies. We fit ecological state-level generalized linear Poisson regression models with robust standard errors to estimate 4-year TMM, MM, and LMM rate ratios and 95% confidence intervals (CIs) associated with a 1-unit increase in the abortion index, adjusting for state-level covariates. Results. States with the higher score of abortion policy composite index had a 7% increase in TMM (adjusted rate ratio [ARR] = 1.07; 95% CI = 1.02, 1.12) compared with states with lower abortion policy composite index, after we adjusted for state-level covariates. Among individual abortion policies, states with a licensed physician requirement had a 51% higher TMM (ARR = 1.51; 95% CI = 1.15, 1.99) and a 35% higher MM (ARR = 1.35; 95% CI = 1.09, 1.67), and states with restrictions on Medicaid coverage of abortion care had a 29% higher TMM (ARR = 1.29; 95% CI = 1.03, 1.61). Conclusions. Restricting access to abortion care at the state level may increase the risk for TMM. (Am J Public Health. Published online ahead of print August 19, 2021: e1–e9. https://doi.org/10.2105/AJPH.2021.306396 )

Current Status of State-Level Maternal Mortality Review Legislation in the United States [26B]

2017 ◽  
Vol 129 ◽  
pp. 26S-27S
Author(s):  
Adebayo Adesomo ◽  
Amanda McDonald ◽  
Ayamo G. Oben ◽  
Emma Rodriguez ◽  
Kayla Ireland ◽  
...  
Keyword(s):  
United States ◽  
Maternal Mortality ◽  
State Level ◽  
The United States ◽  
Current Status ◽  
Mortality Review ◽  
Maternal Mortality Review

scholarly journals Effects of Government Mandated Social Distancing Measures on Cumulative Incidence of COVID-19 in the United States and its Most Populated Cities

2020 ◽  
Author(s):  
Bhuma Krishnamachari ◽  
Alexander Morris ◽  
Diane Zastrow ◽  
Andrew Dsida ◽  
Brian Harper ◽  
...  
Keyword(s):  
United States ◽  
Population Density ◽  
Cumulative Incidence ◽  
Negative Binomial ◽  
State Level ◽  
The United States ◽  
Reverse Causality ◽  
Social Distancing ◽  
School Closing ◽  
Adjusted Rate

AbstractCOVID-19, caused by the SARS-CoV-2 virus, has quickly spread throughout the world, necessitating assessment of the most effective containment methods. Very little research exists on the effects of social distancing measures on this pandemic. The purpose of this study was to examine the effects of government implemented social distancing measures on the cumulative incidence rates of COVID-19 in the United States on a state level, and in the 25 most populated cities, while adjusting for socio-demographic risk factors. The social distancing variables assessed in this study were: days to closing of non-essential business; days to stay home orders; days to restrictions on gathering, days to restaurant closings and days to school closing. Using negative binomial regression, adjusted rate ratios and 95% confidence intervals were calculated comparing two levels of a binary variable: “above median value,” and “median value and below” for days to implementing a social distancing measure. For city level data, the effects of these social distancing variables were also assessed in high (above median value) vs low (median value and below) population density cities. For the state level analysis, days to school closing was associated with cumulative incidence, with an adjusted rate ratio of 1.59 (95% CI:1.03,2.44), p=0.04 at 35 days. Some results were counterintuitive, including inverse associations between cumulative incidence and days to closure of non-essential business and restrictions on gatherings. This finding is likely due to reverse causality, where locations with slower growth rates initially chose not to implement measures, and later implemented measures when they absolutely needed to respond to increasing rates of infection. Effects of social distancing measures seemed to vary by population density in cities. Our results suggest that the effect of social distancing measures may differ between states and cities and between locations with different population densities. States and cities need individual approaches to containment of an epidemic, with an awareness of their own structure in terms of crowding and socio-economic variables. In an effort to reduce infection rates, cities may want to implement social distancing in advance of state mandates.

The association between state-level abortion restrictions and maternal mortality in the United States, 1995-2017

Contraception ◽  
2021 ◽  
Author(s):  
Amy N. Addante ◽  
David L. Eisenberg ◽  
Mark C. Valentine ◽  
Jennifer Leonard ◽  
Karen E. Joynt Maddox ◽  
...  
Keyword(s):  
United States ◽  
Maternal Mortality ◽  
State Level ◽  
The United States

scholarly journals Significant Declines in Juvenile Onset Recurrent Respiratory Papillomatosis following HPV Vaccine Introduction in the United States

2021 ◽  
Author(s):  
Elissa Meites ◽  
Laura Stone ◽  
Raiza Amiling ◽  
Vidisha Singh ◽  
Elizabeth R Unger ◽  
...  
Keyword(s):  
United States ◽  
Hpv Vaccine ◽  
Hpv Vaccination ◽  
State Level ◽  
Clinical History ◽  
The United States ◽  
Recurrent Respiratory Papillomatosis ◽  
Juvenile Onset ◽  
Vaccine Introduction ◽  
Rate Ratios

Abstract Background Juvenile onset recurrent respiratory papillomatosis (JORRP) is a rare and serious disease caused by human papillomavirus (HPV) presumably acquired during vaginal delivery. HPV vaccination of females through age 26 years, recommended in the United States since 2006, can prevent HPV transmission. We assessed trends in JORRP cases before and after HPV vaccine introduction in the United States. Methods Case-patients were identified from 26 pediatric otolaryngology centers in 23 U.S. states. Demographics and clinical history were abstracted from medical records. Case-patients were grouped by year of birth, and birth-cohort incidences were calculated using number of births from either national or state-level natality data from the 23 states. We calculated incidence rate ratios (IRR) and 95% confidence intervals (CI) in 2-year intervals. Results We identified 576 U.S. JORRP case-patients born in 2004-2013. Median age at diagnosis was 3.4 years (interquartile range: 1.9, 5.5). Number of identified JORRP case-patients declined from a baseline of 165 born in 2004-2005 to 36 born in 2012-2013. Incidence of JORRP per 100,000 births using national data declined from 2.0 cases in 2004-2005 to 0.5 cases in 2012-2013 (IRR=0.2, CI=0.1-0.4); incidence using state-level data declined from 2.9 cases in 2004-2005 to 0.7 cases in 2012-2013 (IRR=0.2, CI=0.1-0.4). Conclusions Over a decade, numbers of JORRP case-patients and incidences declined significantly. Incidences calculated using national denominator data are likely underestimates; those calculated using state-level denominator data could be overestimates. These declines are most likely due to HPV vaccination. Increasing vaccination uptake could lead to elimination of this HPV-related disease.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

Dissent in the Atlantic World, 1787–1830

2018 ◽  
Author(s):  
Katherine Carté Engel
Keyword(s):  
United States ◽  
African Americans ◽  
First Amendment ◽  
Church And State ◽  
State Level ◽  
The United States ◽  
American Population ◽  
Simple Fact ◽  
General Role

The very term ‘Dissenter’ became problematic in the United States, following the passing of the First Amendment. The formal separation of Church and state embodied in the First Amendment was followed by the ending of state-level tax support for churches. None of the states established after 1792 had formal religious establishments. Baptists, Congregationalists, Presbyterians, and Methodists accounted for the majority of the American population both at the beginning and end of this period, but this simple fact masks an important compositional shift. While the denominations of Old Dissent declined relatively, Methodism grew quickly, representing a third of the population by 1850. Dissenters thus faced several different challenges. Primary among these were how to understand the idea of ‘denomination’ and also the more general role of institutional religion in a post-establishment society. Concerns about missions, and the positions of women and African Americans are best understood within this context.

The Oxford Handbook of Preservice Music Teacher Education in the United States

2019 ◽  
Keyword(s):  
United States ◽  
Teacher Education ◽  
Music Education ◽  
State Level ◽  
The United States ◽  
Music Teacher ◽  
Music Teacher Education ◽  
Education Faculty ◽  
Song Writing ◽  
Faculty And Administrators

The Oxford Handbook of Preservice Music Teacher Education in the United States aims to work from within the profession of music teacher education to push the boundaries of P-12 music education. In this book, we will provide all of those working in music teacher education—music education faculty and administrators, music researchers, graduate students, department of education faculty and administrators, and state-level certification agencies—with research and promising practices for all areas of traditional preservice music teacher preparation. We define the areas of music teacher education as encompassing the more traditional structures, such as band, jazz band, marching band, orchestra, choir, musical theater, and elementary and secondary general music, as well as less common or newer areas: alternative string ensembles, guitar and song-writing, vernacular and popular music, early childhood music, and adult learners

scholarly journals Incidence of Benign Meningiomas in the United States: Current and Future Trends

2021 ◽  
Author(s):  
Sonia Bhala ◽  
Douglas R Stewart ◽  
Victoria Kennerley ◽  
Valentina I Petkov ◽  
Philip S Rosenberg ◽  
...  
Keyword(s):  
United States ◽  
Age Groups ◽  
Cancer Registries ◽  
Health Impact ◽  
The United States ◽  
Birth Cohorts ◽  
Benign Meningioma ◽  
Case Count ◽  
Future Burden ◽  
Rate Ratios

Abstract Background Benign meningiomas are the most frequently reported central nervous system tumors in the United States (US), with increasing incidence in past decades. However, the future trajectory of this neoplasm remains unclear. Methods We analyzed benign meningioma incidence of cases identified by any means (eg, radiographically with or without microscopic confirmation) in US Surveillance Epidemiology and End Results (SEER) cancer registries among 35–84-year-olds during 2004–2017 by sex and race/ethnicity using age-period-cohort (APC) models. We employed APC forecasting models to glean insights regarding the etiology, distribution, and anticipated future (2018–2027) public health impact of this neoplasm. Results In all groups, meningioma incidence overall increased through 2010, then stabilized. Temporal declines were statistically significant overall and in most groups. JoinPoint analysis of cohort rate-ratios identified substantial acceleration in White men born after 1963 (from 1.1% to 3.2% per birth year); cohort rate-ratios were stable or increasing in all groups and all birth cohorts. We forecast that meningioma incidence through 2027 will remain stable or decrease among 55–84-year-olds but remain similar to current levels among 35–54-year-olds. Total meningioma burden in 2027 is expected to be approximately 30,470 cases, similar to the expected case count of 27,830 in 2018. Conclusions Between 2004–2017, overall incidence of benign meningioma increased and then stabilized or declined. For 2018–2027, our forecast is incidence will remain generally stable in younger age groups but decrease in older age groups. Nonetheless, the total future burden will remain similar to current levels because the population is aging.

scholarly journals Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Decision Making ◽  
Chronic Disease ◽  
Multinomial Logistic Regression ◽  
Public Health Practice ◽  
State Level ◽  
The United States ◽  
Organizational Level ◽  
Effective Programs

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

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