Sanctuary policies and type 2 diabetes medication prescription trends among community health center patients.

Immigrants in the United States are at increased risk of diabetes-related complications due to delayed diagnoses compared with US-born individuals. Immigration-related federal policies may support immigration enforcement activities and restrict some immigrants' access to health insurance and other publicly funded resources. Conversely, state and county-level sanctuary policies may reduce the fear of deportation and increase mobility in the community, improving the accessibility of essential pharmacological treatment for type 2 diabetes patients.

Latino-White Disparities in Identification and Control of Elevated Blood Pressure Among Adults With Hypertension.

Background: Studies analyzing blood pressure (BP) management using the hypertension control cascade have consistently shown disparities in hypertension awareness, treatment, and BP control between Latino patients and non-Latino White patients. We analyze this cascade using electronic health record data from a multistate network of community health centers.

Methods And Results: Data from 790 clinics in 23 US states from 2012 to 2020, including 1 270 174 patients, were analyzed to compare BP documentation in the electronic health record, clinician acknowledgment (diagnosis or treatment) of incident hypertension (BP ≥140/90), medication prescription, and BP control between non-Latino White patients, English-preferring Latino patients, and Spanish-preferring Latino patients, adjusted for patient-level covariates, and clustered on patients' primary clinics.

Policy solutions to eliminate racial and ethnic child health disparities in the USA.

Societal systems act individually and in combination to create and perpetuate structural racism through both policies and practices at the local, state, and federal levels, which, in turn, generate racial and ethnic health disparities. Both current and historical policy approaches across multiple sectors-including housing, employment, health insurance, immigration, and criminal legal-have the potential to affect child health equity. Such policies must be considered with a focus on structural racism to understand which have the potential to eliminate or at least attenuate disparities.

DeepmdQCT: A multitask network with domain invariant features and comprehensive attention mechanism for quantitative computer tomography diagnosis of osteoporosis.

In the medical field, the application of machine learning technology in the automatic diagnosis and monitoring of osteoporosis often faces challenges related to domain adaptation in drug therapy research. The existing neural networks used for the diagnosis of osteoporosis may experience a decrease in model performance when applied to new data domains due to changes in radiation dose and equipment. To address this issue, in this study, we propose a new method for multi domain diagnostic and quantitative computed tomography (QCT) images, called DeepmdQCT.

PE-Net: a parallel framework for 3D inferior mesenteric artery segmentation.

The structural morphology of mesenteric artery vessels is of significant importance for the diagnosis and treatment of colorectal cancer. However, developing automated vessel segmentation methods for this purpose remains challenging. Existing convolution-based segmentation methods have limitations in capturing long-range dependencies, while transformer-based models require large datasets, making them less suitable for tasks with limited training samples.

Region of origin and cervical cancer stage in multiethnic Hispanic/Latinx patients living in the United States.

Background: Hispanic/Latinx people have the second highest cervical cancer incidence rates in the U.S. However, there is a lack of disaggregated data on clinical outcomes for this diverse and populous group, which is critical to direct resources and funding where they are most needed.

SR-POSE: A Novel Non-Contact Real-Time Rehabilitation Evaluation Method Using Lightweight Technology.

Rehabilitation movement assessment often requires patients to wear expensive and inconvenient sensors or optical markers. To address this issue, we propose a non-contact and real-time approach using a lightweight pose detection algorithm-Sports Rehabilitation-Pose (SR-Pose), and a depth camera for accurate assessment of rehabilitation movement. Our approach utilizes an E-Shufflenet network to extract underlying features of the target, a RLE-Decoder module to directly regress the coordinate values of 16 key points, and a Weight Fusion Unit (WFU) module to output optimal human posture detection results.

Facing a dual threat: Pandemic stress and immigration policy vulnerability on mental health among Latinx immigrant parents.

Background: Exclusionary immigration policies rooted in structural racism threaten the wellbeing of Latinx families, increasing stress, anxiety, depression, and distress among immigrant parents. The COVID-19 pandemic has had devastating and disproportionate impacts on communities of color with unique impacts on Latinx immigrant parents in mixed-status families.

Aims: From a syndemic theory lens, we explored the convergence of structural racism and the COVID-19 pandemic to explore if the stress of the COVID-19 pandemic may compound harmful immigration-related policies.

Inequities in referrals to a breast cancer risk assessment and prevention clinic: a mixed methods study.

Background: Inequitable access to personalized breast cancer screening and prevention may compound racial and ethnic disparities in outcomes. The Breast Cancer Personalized Risk Assessment, Education and Prevention (B-PREP) program, located within the Brigham and Women's Hospital (BWH) Comprehensive Breast Health Center (BHC), provides care to patients at high risk for developing breast cancer. We sought to characterize the differences between BWH primary care patients referred specifically to B-PREP for risk evaluation and those referred to the BHC for benign breast conditions.

Immigration Enforcement Climate in Georgia and the Mental Health of Latinx Immigrants.

Introduction: Immigrant-related social policies and immigration enforcement contribute to a sociopolitical environment that affects immigrants' health. This exploratory study in six metro-Atlanta counties examined associations among immigrants' perceived vulnerability to harmful immigrant-related social policies and county-level 287(g) agreements (which facilitate cooperation between local law enforcement and federal immigration authorities), county-level immigration enforcement levels (arrests, community arrests, detainers, and removals), and immigrants' mental health.

Methods: Using data from a 2020 study among Latinx parents who were undocumented or members of mixed-status families (N = 140), we merged data on individuals' perceived policy vulnerability and depressive and anxiety symptoms with county 287(g) status and immigration enforcement levels.

Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos.

Introduction: Country of birth/nativity information may be crucial to understanding health equity in Latino populations and is routinely called for in health services literature assessing cardiovascular disease and risk, but is not thought to co-occur with longitudinal, objective health information such as that found in electronic health records (EHRs).

Methods: We used a multistate network of community health centres to describe the extent to which country of birth is recorded in EHRs in Latinos, and to describe demographic features and cardiovascular risk profiles by country of birth. We compared geographical/demographic/clinical characteristics, from 2012 to 2020 (9 years of data), of 914 495 Latinos recorded as US-born, non-US-born and without a country of birth recorded.

Involvement in Chemotherapy Decision Making among Patients with Stage II and III Colon Cancer.

Unlabelled: To explore preferred and actual involvement in chemotherapy decision making among stage II and III colon cancer (CC) patients by sociodemographic, interpersonal, and intrapersonal communication factors. Cross-sectional exploratory study collecting self-reported survey data from stage II and III CC patients from 2 cancer centers located in northern Manhattan. Of 88 patients approached, 56 completed the survey.

Disaggregating Latino nativity in equity research using electronic health records.

Objective: To develop and validate prediction models for inference of Latino nativity to advance health equity research.

Data Sources/study Setting: This study used electronic health records (EHRs) from 19,985 Latino children with self-reported country of birth seeking care from January 1, 2012 to December 31, 2018 at 456 community health centers (CHCs) across 15 states along with census-tract geocoded neighborhood composition and surname data.

Study Design: We constructed and evaluated the performance of prediction models within a broad machine learning framework (Super Learner) for the estimation of Latino nativity.

End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images.

Osteoporosis is a significant global health concern that can be difficult to detect early due to a lack of symptoms. At present, the examination of osteoporosis depends mainly on methods containing dual-energyX-ray, quantitative CT, etc., which are high costs in terms of equipment and human time.

Current Family Functioning and Youth Cardiometabolic Health in the SOL Youth Study.

Background: Family functioning may impact children's cardiometabolic health; however, few studies have examined multiple cardiometabolic markers among a diverse racial/ethnic cohort. The relationship between child- and caregiver-reported family functioning and the cardiometabolic health of Hispanic/Latino youth was examined.

Method: Data were from the Hispanic Community Children's Health Study/Study of Latino Youth (SOL Youth) (2012-2014), a population-based cohort study of children and adolescents whose parents participated in the HCHS/SOL (2008-2011).

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images.

Domain shift is a problem commonly encountered when developing automated histopathology pipelines. The performance of machine learning models such as convolutional neural networks within automated histopathology pipelines is often diminished when applying them to novel data domains due to factors arising from differing staining and scanning protocols. The Dual-Channel Auto-Encoder (DCAE) model was previously shown to produce feature representations that are less sensitive to appearance variation introduced by different digital slide scanners.

Self-rated health of both US citizens and noncitizens is associated with state-level immigrant criminalization policies.

Evidence shows that state-level restrictive immigrant policies are associated with health disparities between noncitizens and citizens. Most research has focused on Latinos and there is limited knowledge of the relationship between restrictive policies and citizenship status among other groups, particularly Asian and Pacific Islanders (API). We examined whether state-level criminalization policy contexts (e.

An Assessment of the Potential Economic Impacts of the Invasive Polyphagous Shot Hole Borer (Coleoptera: Curculionidae) in South Africa.

Studies addressing the economic impacts of invasive alien species are biased towards ex-post assessments of the costs and benefits of control options, but ex-ante assessments are also required to deal with potentially damaging invaders. The polyphagous shot hole borer Euwallacea fornicatus (Coleoptera: Curculionidae) is a recent and potentially damaging introduction to South Africa. We assessed the potential impact of this beetle by working across economic and biological disciplines and developing a simulation model that included dynamic mutualistic relations between the beetle and its symbiotic fungus.

Immigrant-Related Policies and the Health Outcomes of Latinx Adults in the United States: A Systematic Review.

Background: US federal and subfederal immigrant-related policy activity has increased in recent years. We hypothesize that these policies are structural determinants of health for Latinx communities, operating through access to resources, discriminatory enforcement, and stress.

Methods: We searched seven databases for quantitative studies, published as of September 2021, examining the association between the presence of federal, state, or local immigrant-related policy(ies), over time or cross-sectionally, and mental or physical health outcomes among immigrant or US-born Latinx adults.

Examining the impact of the Cultural Gap Narrative on Family Functioning and Youth Substance Use among the Health Study/Study of latino Youth (HCHS/SOL Youth) population.

The acculturation gap theory provides a complex illustration of how cultural orientations affect health behaviors among adolescents, by assuming that familial cultural orientation gaps lead to compromised family functioning and children adopting negative health behaviors. This analysis used three methods to conceptualize cultural gaps to examine the relationships between familial cultural orientation gaps and family functioning and substance use susceptibility among the Hispanic Community Children's Health Study/Study of Hispanic/Latino Youth population. Results did not support the assumptions behind the acculturation gap theory.

A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs.

Developing Field Programmable Gate Array (FPGA)-based applications is typically a slow and multi-skilled task. Research in tools to support application development has gradually reached a higher level. This paper describes an approach which aims to further raise the level at which an application developer works in developing FPGA-based implementations of image and video processing applications.