Traditional and Online Health Information Seeking Among Individuals With Limited English Proficiency in the United States: Cross-Sectional Study.

Purpose: We investigate how individuals with Limited English Proficiency (LEP) seek, access, and evaluate traditional and online sources they rely on for health information.

Design: Retrospective cross-sectional survey analysis from the United States.

Setting: Pooled Health Information National Trends Survey surveys (2013-2019).

Lessons Learned From Developing Dashboards to Support Decision-Making for Community Opioid Response by Community Stakeholders: Mixed Methods and Multisite Study.

Background: Data dashboards are published tools that present visualizations; they are increasingly used to display data about behavioral health, social determinants of health, and chronic and infectious disease risks to inform or support public health endeavors. Dashboards can be an evidence-based approach used by communities to influence decision-making in health care for specific populations. Despite widespread use, evidence on how to best design and use dashboards in the public health realm is limited.

Reducing perceived barriers to scaling up overdose education and naloxone distribution and medications for opioid use disorder in the United States in the HEALing (Helping End Addiction Long-Term®) communities study.

Background: Scaling up overdose education and naloxone distribution (OEND) and medications for opioid use disorder (MOUD) is needed to reduce opioid overdose deaths, but barriers are pervasive. This study examines whether the Communities That HEAL (CTH) intervention reduced perceived barriers to expanding OEND and MOUD in healthcare/behavioral health, criminal-legal, and other/non-traditional venues.

Methods: The HEALing (Helping End Addiction Long-Term®) Communities Study is a parallel, wait-list, cluster randomized trial testing the CTH intervention in 67 communities in the United States.

Patient and Provider Perspectives About the Use of Patient-Generated Health Data During Pregnancy: Qualitative Exploratory Study.

Background: There is increasing interest in using patient-generated health data (PGHD) to improve patient-centered care during pregnancy. However, little research has examined the perspectives of patients and providers as they report, collect, and use PGHD to inform obstetric care.

Objective: This study aims to explore the perspectives of patients and providers about the use of PGHD during pregnancy, including the benefits and challenges of reporting, collecting, and using these data, as well as considerations for expanding the use of PGHD to improve obstetric care.

Screening tools to address social determinants of health in the United States: A systematic review.

The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023).

Association Between Neighborhood Opportunity, Allostatic Load, and All-Cause Mortality in Patients With Breast Cancer.

Purpose: Adverse neighborhood contextual factors may affect breast cancer outcomes through environmental, psychosocial, and biological pathways. The objective of this study is to examine the relationship between allostatic load (AL), neighborhood opportunity, and all-cause mortality among patients with breast cancer.

Methods: Women age 18 years and older with newly diagnosed stage I-III breast cancer who received surgical treatment between January 1, 2012, and December 31, 2020, at a National Cancer Institute Comprehensive Cancer Center were identified.

An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions-Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes.

Mobile health (mHealth) apps can be an evidence-based approach to improve health behavior and outcomes. Prior literature has highlighted the need for more research on mHealth personalization, including in diabetes and pregnancy. Critical gaps exist on the impact of personalization of mHealth apps on patient engagement, and in turn, health behaviors and outcomes.

Developing a multimodal maternal infant perinatal outpatient delivery system: the MOMI PODS program.

Progress in maternal child health has been hampered by poor rates of outpatient follow up for postpartum individuals. Primary care after delivery can effectively detect and treat several pregnancy-related complications and comorbidities, but postpartum linkage to primary care remains low. In this manuscript, we share the experience of implementing a novel mother-infant dyad program, the Multimodal Maternal Infant Perinatal Outpatient Delivery System (MOMI PODS), to improve primary care linkage and community resource access postpartum via integration into pediatric care structures.

Establishing a clinical informatics umbilical cord: lessons learned in launching infrastructure to support dyadic mother/infant primary care.

The Multimodal Maternal Infant Perinatal Outpatient Delivery System (MOMI PODS) was developed to facilitate the pregnancy to postpartum primary care transition, particularly for individuals at risk for severe maternal morbidity, via a unique multidisciplinary model of mother/infant dyadic primary care. Specialized clinical informatics platforms are critical to ensuring the feasibility and scalability of MOMI PODS and a smooth perinatal transition into longitudinal postpartum primary care. In this manuscript, we describe the MOMI PODS transition and management clinical informatics platforms developed to facilitate MOMI PODS referrals, scheduling, evidence-based multidisciplinary care, and program evaluation.

Patient and provider perspectives on the use of patient portals during pregnancy and the postpartum period.

Introduction: Interest in the use of patient portals to support prenatal and postpartum care is growing. This study was conducted to understand patient and provider perspectives about the impact of portal use during pregnancy and the postpartum period.

Methods: Interviews were conducted with 30 pregnant or postpartum patients and 15 obstetric care providers at an academic medical center that offers its patients access to an outpatient portal.

Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant individuals with type 2 diabetes: clinical trial protocol for the ACHIEVE study.

Introduction: Type 2 diabetes (T2D) is one of the most frequent comorbid medical conditions in pregnancy. Glycaemic control decreases the risk of adverse pregnancy outcomes for the pregnant individual and infant. Achieving glycaemic control can be challenging for Medicaid-insured pregnant individuals who experience a high burden of unmet social needs.

Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus.

Background: Neighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined.

Objective: This study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes.

Disparities in Continuous Glucose Monitoring Use Among Women of Reproductive Age with Type 1 Diabetes in the T1D Exchange.

We identified characteristics associated with continuous glucose monitoring (CGM) use in women of reproductive age with type 1 diabetes (T1D) in the T1D Exchange clinic registry from 2015 to 2018. Among 6643 assessed women, the frequency of CGM increased from 2015 to 2018 (20.6% vs.

Patterns of Postpartum Primary Care Follow-up and Diabetes-Related Care After Diagnosis of Gestational Diabetes.

Importance: Gestational diabetes (GD) affects up to 10% of pregnancies and increases lifetime risk of type 2 diabetes 10-fold; postpartum diabetes evaluation and primary care follow-up are critical in preventing and detecting type 2 diabetes. Despite clinical guidelines recommending universal follow-up, little remains known about how often individuals with GD access primary care and type 2 diabetes screening.

Objective: To describe patterns of primary care follow-up and diabetes-related care among individuals with and without GD in the first year post partum.

Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study.

Background: A tailored and integrated technology solution (patient mHealth application and provider dashboard) can provide a 360° view of Medicaid-enrolled patients with type 2 diabetes (T2D) during pregnancy that could improve health outcomes and address health inequities.

Objectives: To develop a set of user specifications for the mHealth and dashboard applications, develop prototypes based on user needs, and collect initial impressions of the prototypes to subsequently develop refined tools that are ready for deployment.

Methods: Study activities followed a double-diamond framework with a participatory design mindset.

Review of applied health informatics courses in a multidisciplinary biomedical informatics department.

Introduction: Applied health informatics infrastructure is a requirement for learning health systems and it is imperative that we train a workforce that can support this infrastructure. Our department offers courses in several interdisciplinary programs with topics ranging from bioinformatics to population health informatics. Due to changes in the field and our faculty members, we sought to assess our courses relevant to applied health informatics.

Sequences of Events from the Electronic Medical Record and the Onset of Infection.

We present a novel model of time-series analysis to learn from electronic health record (EHR) data when infection occurred in the intensive care unit (ICU) by translating methods from proteomics and Bayesian statistics. Using 48,536 patients hospitalized in an ICU, we describe each hospital course as an 'alphabet' of 23 physician actions ('events') in temporal order. We analyze these as k-mers of length 3-12 events and apply a Bayesian model of (cumulative) relative risk (RR).

Effect of In-Person vs Video Training and Access to All Functions vs a Limited Subset of Functions on Portal Use Among Inpatients: A Randomized Clinical Trial.

Importance: Inpatient portals provide patients with clinical data and information about their care and have the potential to influence patient engagement and experience. Although significant resources have been devoted to implementing these portals, evaluation of their effects has been limited.

Objective: To assess the effects of patient training and portal functionality on use of an inpatient portal and on patient satisfaction and involvement with care.

Construction of the Ohio Children's Opportunity Index.

Objective: To describe the development of an area-level measure of children's opportunity, the Ohio Children's Opportunity Index (OCOI).

Data Sources/study Setting: Secondary data were collected from US census based-American Community Survey (ACS), US Environmental Protection Agency, US Housing and Urban Development, Ohio Vital Statistics, US Department of Agriculture-Economic Research Service, Ohio State University Center for Urban and Regional Analysis, Ohio Incident Based Reporting System, IPUMS National Historical Geographic Information System, and Ohio Department of Medicaid. Data were aggregated to census tracts across two time periods.

Attitudes towards and sociodemographic determinants of genetic test usage in the USA; data from the Health Information National Trend Survey, 2020.

The purpose of this study was to examine the trends in who obtains genetic tests, and opinions about how genes affect health. Cross-sectional survey data from Health Information National Trends Survey (HINTS) 5, Cycle 4 was used. This data was collected from adults 18 years of age or older who completed mailed surveys sent by the National Cancer Institute between January and April 2020.

Outpatient portal use among pregnant individuals: Cross-sectional, temporal, and cluster analysis of use.

Background: Outpatient portal technology can improve patient engagement. For pregnant individuals, the level of engagement could have important implications for maternal and infant outcomes.

Objective: This study: (1) cross-sectionally and temporally characterized the outpatient portal use among pregnant individuals seen at our academic medical center; and (2) identified clusters of the outpatient portal user groups based on the cross-sectional and temporal patterns of use.

Association Between Social Vulnerability and Achieving Glycemic Control Among Pregnant Individuals With Pregestational Diabetes.

Objective: To evaluate the association between community-level social vulnerability and achieving glycemic control (defined as hemoglobin A1c [Hb A1c] less than 6.0% or less than 6.5%) among individuals with pregestational diabetes.

Mothers' Perspectives on a Mother/Infant Dyad Postpartum Primary Care Program Following Gestational Diabetes Mellitus: A Qualitative Pilot Study.

Purpose: The purpose of this study is to characterize mothers' experiences within a mother/infant dyad postpartum primary care program (Dyad) following gestational diabetes mellitus (GDM) to inform improvements in the delivery of care.

Methods: A qualitative pilot study of women (n = 10) enrolled in a mother/infant Dyad program was conducted in a primary care practice at a large, urban academic medical center. Respondents were asked a series of open-ended questions about their experience with GDM, the Dyad program, and health behaviors.

Association of change in haemoglobin A1c with adverse perinatal outcomes in women with pregestational diabetes.

Aims: To determine whether a net decline in glycosylated haemoglobin (HbA ) from early to late pregnancy is associated with lower risk of adverse perinatal outcomes at delivery among women with pregestational diabetes.

Methods: A retrospective analysis from 2012 to 2016 at a tertiary care centre. The exposure was the net change in HbA from early (<20 weeks gestation) to late pregnancy (≥20 weeks gestation).

Differences in Hemoglobin A1c during Pregnancy between Non-Hispanic Black versus White Women with Prepregnancy Diabetes.

Objective: The objective of this was to determine whether the change in hemoglobin A1c (HbA1c) from early to late pregnancy differs between non-Hispanic Black and White women with prepregnancy diabetes.

Study Design: A retrospective analysis was performed from an integrated prenatal and diabetes care program from 2012 to 2016. We compared HbA1c as a continuous measure and secondarily, HbA1c <6.