Chronic Stress and Preconception Health Among Latina Women in Metro Atlanta.

BACKGROUND: Underserved subgroups are less likely to have optimal health prior to pregnancy. We describe preconception health indicators (behavior, pregnancy intention, and obesity) among pregnant Latina women with and without chronic stress in metro Atlanta. DESIGN: We surveyed 110 pregnant Latina women enrolled in prenatal care at three clinics in Atlanta. The survey assessed chronic stress, pregnancy intention, preconception behavior changes (taking folic acid or prenatal vitamins, seeking healthcare advice, any reduction in smoking or drinking), and previous trauma. RESULTS: Specific behaviors to improve health prior to pregnancy were uncommon (e.g., taking vitamins (25.5%) or improving nutrition (20.9%)). Just under half of women were experiencing a chronic stressor at the time of conception (49.5%). Chronically stressed women were more likely to be obese (aOR: 3.0 (1.2, 7.4)), less likely to intend their pregnancy (aOR: 0.3 (0.1, 0.7)), and possibly less likely to report any PHB (45.5% vs. 57.4%; aOR: 0.5 (0.2-1.1)). CONCLUSIONS: Chronically stress women were less likely to enter prenatal care with optimal health. However, preconception behaviors were uncommon overall.

Using a geolocation social networking application to calculate the population density of sex-seeking gay men for research and prevention services.

BACKGROUND: In the United States, human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) continues to have a heavy impact on men who have sex with men (MSM). Among MSM, black men under the age of 30 are at the most risk for being diagnosed with HIV. The US National HIV/AIDS strategy recommends intensifying efforts in communities that are most heavily impacted; to do so requires new methods for identifying and targeting prevention resources to young MSM, especially young MSM of color. OBJECTIVE: We piloted a methodology for using the geolocation features of social and sexual networking applications as a novel approach to calculating the local population density of sex-seeking MSM and to use self-reported age and race from profile postings to highlight areas with a high density of minority and young minority MSM in Atlanta, Georgia. METHODS: We collected data from a geographically systematic sample of points in Atlanta. We used a sexual network mobile phone app and collected application profile data, including age, race, and distance from each point, for either the 50 closest users or for all users within a 2-mile radius of sampled points. From these data, we developed estimates of the spatial density of application users in the entire city, stratified by race. We then compared the ratios and differences between the spatial densities of black and white users and developed an indicator of areas with the highest density of users of each race. RESULTS: We collected data from 2666 profiles at 79 sampled points covering 883 square miles; overlapping circles of data included the entire 132.4 square miles in Atlanta. Of the 2666 men whose profiles were observed, 1563 (58.63%) were white, 810 (30.38%) were black, 146 (5.48%) were another race, and 147 (5.51%) did not report a race in their profile. The mean age was 31.5 years, with 591 (22.17%) between the ages of 18-25, and 496 (18.60%) between the ages of 26-30. The mean spatial density of observed profiles was 33 per square mile, but the distribution of profiles observed across the 79 sampled points was highly skewed (median 17, range 1-208). Ratio, difference, and distribution outlier measures all provided similar information, highlighting areas with higher densities of minority and young minority MSM. CONCLUSIONS: Using a limited number of sampled points, we developed a geospatial density map of MSM using a social-networking sex-seeking app. This approach provides a simple method to describe the density of specific MSM subpopulations (users of a particular app) for future HIV behavioral surveillance and allow targeting of prevention resources such as HIV testing to populations and areas of highest need.

Examination of the Black-White racial disparity in severe maternal morbidity among Georgia deliveries, 2016 to 2020.

BACKGROUND: Studies find that delivery hospital explains a significant portion of the Black-White gap in severe maternal morbidity. No such studies have focused on the US Southeast, where racial disparities are widest, and few have examined the relative contribution of hospital, residential, and maternal factors. OBJECTIVE: This study aimed to estimate the portion of Georgia's Black-White gap in severe maternal morbidity during delivery through 42 days postpartum explained by hospital, residential, and maternal factors. STUDY DESIGN: Using linked Georgia hospital discharge, birth, and fetal death records for 2016 through 2020, we identified 413,124 deliveries to non-Hispanic White (229,357; 56%) or Black (183,767; 44%) individuals. We linked hospital data from the American Hospital Association and Center for Medicare and Medicaid Services, and area data from the Area Resource File and American Community Survey. We identified severe maternal morbidity indicator conditions during delivery or subsequent hospitalizations through 42 days postpartum. Using race-specific logistic models followed by a decomposition technique, we estimated the portion of the Black-White severe maternal morbidity gap explained by the following: (1) sociodemographic factors (age, education, marital status, and nativity), (2) medical conditions (diabetes mellitus, gestational diabetes, chronic hypertension, gestational hypertension or preeclampsia, and smoking), (3) obstetrical factors (singleton or multiple, and birth order); (4) access to care (no or third trimester care, and payer), (5) hospital factors that are time-varying (delivery volume, deliveries per full-time equivalent nurse, doctor communication, patient safety, and adverse event composite score) or measured time-invariant characteristics (ownership, profit status, religious affiliation, teaching status, and perinatal level), and (6) residential factors (county urban/rural classification, percent uninsured women of reproductive age, obstetrician-gynecologists per women of reproductive age, number of federally-qualified and community health centers, medically-underserved area [yes/no], and census tract neighborhood deprivation index). We estimated models with and without hospital fixed-effects, which account for unobserved time-invariant hospital characteristics such as within-hospital care processes or unmeasured hospital-specific factors. RESULTS: There was 1.8 times the rate of severe maternal morbidity per 100 discharges among non-Hispanic Black (3.15) than among White (1.73) individuals, with an explained proportion of 30.4% in models without and 49.8% in models with hospital fixed-effects. In the latter, hospital fixed-effects explained the largest portion of the Black-White severe maternal morbidity gap (15.1%) followed by access to care (14.9%) and sociodemographic factors (14.4%), with residential factors being protective for Black individuals (-7.5%). Smaller proportions were explained by medical (5.6%), obstetrical (4.0%), and time-varying hospital factors (3.2%). Within each category, the largest explanatory portion was payer type (13.3%) for access to care, marital status (10.3%) for sociodemographic, gestational hypertension (3.3%) for medical, birth order (3.6%) for obstetrical, and patient safety indicator (3.1%) for time-varying hospital factors. CONCLUSION: Models with hospital fixed-effects explain a greater proportion of Georgia's Black-White severe maternal morbidity gap than models without them, thereby supporting the point that differences in care processes or other unmeasured factors within the same hospital translate into racial differences in severe maternal morbidity during delivery through 42 days postpartum. Research is needed to discern and ameliorate sources of within-hospital differences in care. The substantial proportion of the gap attributable to racial differences in access to care and sociodemographic factors points to other needed policy interventions.

Structural racism theory, measurement, and methods: A scoping review.

Introduction: Epidemiologic and public health interest in structural racism has grown dramatically, producing both increasingly sophisticated questions, methods, and findings, coupled with concerns of atheoretical and ahistorical approaches that often leave the actual production of health or disease ambiguous. This trajectory raises concerns as investigators adopt the term "structural racism" without engaging with theories and scholars with a long history in this area. This scoping review aims to build upon recent work by identifying current themes about the incorporation of structural racism into (social) epidemiologic research and practice with respect to theory, measurement, and practices and methods for trainees and public health researchers who are not already deeply grounded in this work. Methods: This review uses methodological framework and includes peer-review articles written in English published between January 2000-August 2022. Results: A search of Google Scholar, manual collection, and referenced lists identified a total of 235 articles; 138 met the inclusion criteria after duplicates were removed. Results were extracted by, and organized into, three broad sections: theory, construct measurement, and study practice and methods, with several themes summarized in each section. Discussion: This review concludes with a summary of recommendations derived from our scoping review and a call to action echoing previous literature to resist an uncritical and superficial adoption of "structural racism" without attention to already existing scholarship and recommendations put forth by experts in the field.

Characteristics and treatment of hospitalized pregnant women with COVID-19.

BACKGROUND: Pregnant women less frequently receive COVID-19 vaccination and are at increased risk for adverse pregnancy outcomes from COVID-19. OBJECTIVE: This study aimed to first, describe the vaccination status, treatment, and outcomes of hospitalized, symptomatic pregnant women with COVID-19, and second, estimate whether treatment differs by pregnancy status among treatment-eligible (ie, requiring supplemental oxygen per National Institutes of Health guidelines at the time of the study) women. STUDY DESIGN: From January to November 2021, the COVID-19-Associated Hospitalization Surveillance Network completed medical chart abstraction for a probability sample of 2715 hospitalized women aged 15 to 49 years with laboratory-confirmed SARS-CoV-2 infection. Of these, 1950 women had symptoms of COVID-19 on admission, and 336 were pregnant. We calculated weighted prevalence estimates of demographic and clinical characteristics, vaccination status, and outcomes among pregnant women with symptoms of COVID-19 on admission. We used propensity score matching to estimate prevalence ratios and 95% confidence intervals of treatment-eligible patients who received remdesivir or systemic steroids by pregnancy status. RESULTS: Among 336 hospitalized pregnant women with symptomatic COVID-19, 39.6% were non-Hispanic Black, 24.8% were Hispanic or Latino, and 61.9% were aged 25 to 34 years. Among those with known COVID-19 vaccination status, 92.9% were unvaccinated. One-third (32.7%) were treatment-eligible. Among treatment-eligible pregnant women, 74.1% received systemic steroids and 61.4% received remdesivir. Among those that were no longer pregnant at discharge (n=180), 5.4% had spontaneous abortions and 3.5% had stillbirths. Of the 159 live births, 29.0% were preterm. Among a propensity score-matched cohort of treatment-eligible hospitalized women of reproductive age, pregnant women were less likely than nonpregnant women to receive remdesivir (prevalence ratio, 0.82; 95% confidence interval, 0.69-0.97) and systemic steroids (prevalence ratio, 0.80; 95% confidence interval, 0.73-0.87). CONCLUSION: Most hospitalized pregnant patients with symptomatic COVID-19 were unvaccinated. Hospitalized pregnant patients were less likely to receive recommended remdesivir and systemic steroids compared with similar hospitalized nonpregnant women. Our results underscore the need to identify opportunities for improving COVID-19 vaccination, implementation of treatment of pregnant women, and the inclusion of pregnant women in clinical trials.

Policy- and county-level associations with HIV pre-exposure prophylaxis use, the United States, 2018.

PURPOSE: HIV pre-exposure prophylaxis (PrEP) is highly efficacious, and yet most individuals indicated for it are not currently using it. To provide guidance for health policymakers, researchers, and community advocates, we developed county-level PrEP use estimates and assessed locality and policy associations. METHODS: Using data from a national aggregator, we applied a validated crosswalk procedure to generate county-level estimates of PrEP users in 2018. A multilevel Poisson regression explored associations between PrEP use and (1) state policy variables of Medicaid expansion and state Drug Assistance Programs (PrEP-DAPs) and (2) county-level characteristics from the U.S. Census Bureau. Outcomes were PrEP per population (prevalence) and PrEP-to-need ratio (PnR), defined as the ratio of PrEP users per new HIV diagnosis. Higher levels of PrEP prevalence or PnR indicate more PrEP users relative to the total population or estimated need, respectively. RESULTS: Our 2018 county-level data set included a total of 188,546 PrEP users in the United States. Nationally, PrEP prevalence was 70.3/100,000 population and PnR was 4.9. In an adjusted model, counties with a 5% higher proportion of black residents had 5% lower PnR (rate ratio (RR): 0.95, 95% confidence interval (CI): 0.93, 0.96). Similarly, counties with higher concentration of residents uninsured or living in poverty had lower PnR. Relative to states without Medicaid expansion or PrEP-DAPs, states with only one of those programs had 25% higher PrEP prevalence (RR: 1.25, 95% CI: 1.09, 1.45), and states with both programs had 99% higher PrEP prevalence (RR: 1.99, 95% CI: 1.60, 2.48). There was a significant linear trend across the three policy groups, and similar findings for the relation between PnR and the policy groups. CONCLUSIONS: In a data set comprising approximately 80% of PrEP users in the United States, we found that Medicaid expansion and PrEP-DAPs were associated with higher PrEP use in states that adopted those policies, after controlling for potential confounders. Future research should identify which components of PrEP support programs have the most success and how to best promote PrEP among groups most impacted by the epidemic. States should support the admirable health decisions of their residents to get on PrEP by implementing policies that facilitate access.

Methods for county-level estimation of pre-exposure prophylaxis coverage and application to the U.S. Ending the HIV Epidemic jurisdictions.

PURPOSE: Pre-exposure prophylaxis (PrEP) is a pillar of the US Department of Health and Human Services "Ending the HIV Epidemic" (EHE) initiative in 50 EHE jurisdictions (48 U.S. counties and two U.S. cities) and seven U.S. states with high numbers of HIV diagnoses rates in rural areas. Current data systems do not provide data on PrEP uptake in counties or cities. METHODS: We report on PrEP users at the county level. Data from a large, commercial pharmacy database were used; we applied the U.S. Census Bureau's method to allocate PrEP users within a ZIP3 into counties and validated the results. We report counts and rates of PrEP users in 2018 for all EHE jurisdictions. We used joinpoint regression to model the estimated annual percent change in PrEP use for each jurisdiction and state. RESULTS: 93,156 people in the 50 EHE jurisdictions used PrEP in 2018; 94% were men and 39% were aged 25-34 years. There was more than an 80-fold difference in the range of rates of PrEP use per 100,000 population among the EHE jurisdictions (range: 8-644 per 100,000 population; median 93 per 100,000 population). PrEP use increased from 2012 to 2018 in all EHE counties and states. At current rates of growth of PrEP use, 94% of EHE counties and jurisdictions will reach their National HIV/AIDS Strategy goals of a 500% increase in PrEP use in 2020. EHE states had less variation in rates of PrEP use (range: 29-51/100,000 population; median 32/100,000 population). CONCLUSIONS: At the outset of a major U.S. government program to reduce HIV infections, rates of PrEP use are highly variable among the 50 EHE jurisdictions. Data from commercial prescription databases will be a useful public resource to understand progress in promoting use of PrEP as part of the EHE initiative and evaluating progress in PrEP use across health jurisdictions.

Is segregation bad for your health?

For decades, racial residential segregation has been observed to vary with health outcomes for African Americans, although only recently has interest increased in the public health literature. Utilizing a systematic review of the health and social science literature, the authors consider the segregation-health association through the lens of 4 questions of interest to epidemiologists: How is segregation best measured? Is the segregation-health association socially or biologically plausible? What evidence is there of segregation-health associations? Is segregation a modifiable risk factor? Thirty-nine identified studies test an association between segregation and health outcomes. The health effects of segregation are relatively consistent, but complex. Isolation segregation is associated with poor pregnancy outcomes and increased mortality for blacks, but several studies report health-protective effects of living in clustered black neighborhoods net of social and economic isolation. The majority of reviewed studies are cross-sectional and use coarse measures of segregation. Future work should extend recent developments in measuring and conceptualizing segregation in a multilevel framework, build upon the findings and challenges in the neighborhood-effects literature, and utilize longitudinal data sources to illuminate opportunities for public health action to reduce racial disparities in disease.

Being on the Safe Side: A Qualitative Study of Condom Use Motivations According to Contraceptive Type among Adolescents in Atlanta, Georgia.

STUDY OBJECTIVE: Quantitative data suggest that adolescent users of long-acting reversible contraception (LARC), compared with short-acting methods (pill, patch, ring, depot medroxyprogesterone acetate [DMPA]), might be less likely to use condoms. We qualitatively describe and explain adolescent contraceptive users' motivations for condom use, including variation according to contraceptive type. DESIGN: Individual, in-depth qualitative interviews, analyzed thematically. SETTING: Participants were recruited from public family planning clinics and an adolescent medicine clinic, as well as university and other community settings in Atlanta, Georgia. PARTICIPANTS: Sexually active contraceptive users aged 17-19 years old (n = 30), including LARC (n = 10), DMPA (n = 10), and oral contraceptive (n = 10) users. RESULTS: Of the 30 participants, most (n = 25; 83%) used condoms with their more effective contraceptive method, although 11 of 25 used them inconsistently (44%). Oral contraceptive users were particularly motivated to use condoms for pregnancy prevention, because of concerns about contraceptive method efficacy and a desire to be on "the safe side." In contrast, LARC users were primarily motivated by sexually transmitted infection (STI) prevention. DMPA users' motivations were more mixed. Across contraceptive type, factors influencing condom use motivations included sexual health education, personal awareness and/or experience, and perceived consequences and risk. CONCLUSION: Because all participants were using an effective contraceptive method, it is notable that pregnancy prevention was a prominent motivator for using condoms, although LARC users reported STI prevention to be a more important motivation. Parental and school-based sexual health education that clearly addresses STI prevention in addition to pregnancy prevention has the potential to influence condom use motivations and behavior.

Do health promotion messages integrate unintended pregnancy and STI prevention? A content analysis of online information for adolescents and young adults.

OBJECTIVE: Recently there have been calls to strengthen integration of unintended pregnancy and sexually transmitted infection (STI) prevention messages, spurred by increasing use of long-acting reversible contraception. To assess the extent to which public health/clinical messages about unintended pregnancy prevention also address STI prevention, we conducted a content analysis of web-based health promotion information for young people. STUDY DESIGN: Websites identified through a systematic Google search were eligible for inclusion if they were operated by a United States-based organization with a mission related to public health/clinical services and the URL included: 1) original content; 2) about sexual and reproductive health; 3) explicitly for adolescents and/or young adults. Using defined protocols, URLs were screened and content was selected and analyzed thematically. RESULTS: Many of the 32 eligible websites presented information about pregnancy and STI prevention separately. Concurrent discussion of the two topics was often limited to statements about (1) strategies that can prevent both outcomes (abstinence, condoms only, condoms plus moderately or highly effective contraceptive methods) and (2) contraceptive methods that confer no STI protection. We also identified framing of condom use with moderately or highly effective contraceptive methods for back-up pregnancy prevention but not STI prevention. STI prevention methods in addition to condoms, such as STI/HIV testing, vaccination, or pre-exposure or post-exposure prophylaxis, were typically not addressed with pregnancy prevention information. CONCLUSIONS: There may be missed opportunities for promoting STI prevention online in the context of increasing awareness of and access to a full range of contraceptive methods. IMPLICATIONS: Strengthening messages that integrate pregnancy and STI prevention may include: describing STI prevention strategies when noting that birth control methods do not prevent STIs; promoting a full complement of STI prevention strategies; and always connecting condom use to STI prevention, even when promoting condoms for back-up contraception.

Geographic Access Modeling of Emergency Obstetric and Neonatal Care in Kigoma Region, Tanzania: Transportation Schemes and Programmatic Implications.

BACKGROUND: Access to transportation is vital to reducing the travel time to emergency obstetric and neonatal care (EmONC) for managing complications and preventing adverse maternal and neonatal outcomes. This study examines the distribution of travel times to EmONC in Kigoma Region, Tanzania, using various transportation schemes, to estimate the proportion of live births (a proxy indicator of women needing delivery care) with poor geographic access to EmONC services. METHODS: The 2014 Reproductive Health Survey of Kigoma Region identified 4 primary means of transportation used to travel to health facilities: walking, cycling, motorcycle, and 4-wheeled motor vehicle. A raster-based travel time model was used to map the 2-hour travel time catchment for each mode of transportation. Live birth density distributions were aggregated by travel time catchments, and by administrative council, to estimate the proportion of births with poor access. RESULTS: Of all live births in Kigoma Region, 13% occurred in areas where women can reach EmONC facilities within 2 hours on foot, 33% in areas that can be reached within 2 hours only by motorized vehicles, and 32% where it is impossible to reach EmONC facilities within 2 hours. Over 50% of births in 3 of the 8 administrative councils had poor estimated access. In half the councils, births with poor access could be reduced to no higher than 12% if all female residents had access to motorized vehicles. CONCLUSION: Significant differences in geographic access to EmONC in Kigoma Region, Tanzania, were observed both by location and by primary transportation type. As most of the population may only have good EmONC access when using mechanized or motorized vehicles, bicycles and motorcycles should be incorporated into the health transportation strategy. Collaboration between private transportation sectors and obstetric service providers could improve access to EmONC services among most populations. In areas where residents may not access EmONC facilities within 2 hours regardless of the type of transportation used, upgrading EmONC capacity among nearby non-EmONC facilities may be required to improve accessibility.

A Profile of Patients Who Fail to Keep Appointments in a Veterans Affairs Primary Care Clinic.

BACKGROUND: Missed medical appointments ("no-shows") affect both staff and other patients who are unable to make timely appointments. No-shows can be prevented through interventions that target those most at risk to miss appointments. Young age, low socioeconomic status, a history of missed appointments, psychosocial problems, and longer wait times are some predictors that previously have been associated with higher no-show rates. OBJECTIVE: To determine predictors for outpatient appointment no-shows in primary care clinics of the Veterans Affairs Nebraska-Western Iowa Health Care System. METHODS: The study included 69,908 noncancelled primary care appointments between January 1, 2012 and December 31, 2013 among patients residing in ZIP codes within the Veterans Affairs Nebraska-Western Iowa Health Care System Service Area. Age, sex, race, presence of a mental health diagnosis, previous no-show rate in the past 2 years, appointment wait time, distance to clinic, and neighborhood deprivation index were extracted or measured for each patient. RESULTS: In log-binomial models accounting for clustering by ZIP code, the strongest predictors of no-shows were age between 20 and 39 (OR compared to 60+: 3.87, 95% CI, 3.48-4.31) or between 40 and 59 (OR compared to 60+: 2.23, 95% CI, 2.05-2.43), black (OR compared to white: 2.14, 95% CI, 1.98-2.31) or other nonwhite race (OR compared to white: 1.35, 95% CI, 1.17- 1.56), male sex (OR compared to female: 1.30, 95% CI, 1.16-1.45), and presence versus absence of mental health diagnosis (OR: 1.16, 95% CI, 1.09-1.24). CONCLUSION: These findings show that individuals who are younger, nonwhite, male, or have been diagnosed with mental health issues are more likely to no-show. Interventions to improve compliance could be targeted at these individuals in order to decrease the burden of no-shows on health care systems.

Geography of Adolescent Obesity in the U.S., 2007-2011.

INTRODUCTION: Obesity remains a significant threat to the current and long-term health of U.S. adolescents. The authors developed county-level estimates of adolescent obesity for the contiguous U.S., and then explored the association between 23 conceptually derived area-based correlates of adolescent obesity and ecologic obesity prevalence. METHODS: Multilevel small area regression methods applied to the 2007 and 2011-2012 National Survey of Children's Health produced county-level obesity prevalence estimates for children aged 10-17 years. Exploratory multivariable Bayesian regression estimated the cross-sectional association between nutrition, activity, and macrosocial characteristics of counties and states, and county-level obesity prevalence. All analyses were conducted in 2015. RESULTS: Adolescent obesity varies geographically with clusters of high prevalence in the Deep South and Southern Appalachian regions. Geographic disparities and clustering in observed data are largely explained by hypothesized area-based variables. In adjusted models, activity environment, but not nutrition environment variables were associated with county-level obesity prevalence. County violent crime was associated with higher obesity, whereas recreational facility density was associated with lower obesity. Measures of the macrosocial and relational domain, including community SES, community health, and social marginalization, were the strongest correlates of county-level obesity. CONCLUSIONS: County-level estimates of adolescent obesity demonstrate notable geographic disparities, which are largely explained by conceptually derived area-based contextual measures. This ecologic exploratory study highlights the importance of taking a multidimensional approach to understanding the social and community context in which adolescents make obesity-relevant behavioral choices.