Use of Telehealth for Follow-up Care After Children's Mental Health Hospitalizations.

Objectives: This study measured the extent to which the COVID-19 pandemic disrupted follow-up care for children and adolescents with acute mental health hospitalizations and the use of telehealth to offset barriers to in-person follow-up care.

Methods: The study used statewide claims data from Alabama's Children's Health Insurance Program, ALL Kids, from 2017 to 2022. Logit regressions measured associations between receipt of follow-up care within 30 days of acute mental health hospitalization and patient characteristics, timing of the COVID-19 pandemic, and receipt of care via telehealth.

Affordability, negative experiences, perceived racism, and health care system distrust among black American women aged 45 and over.

Black Americans (AA) face a confluence of challenges when seeking care including unaffordable costs, negative experiences with providers, racism, and distrust in the healthcare system. This study utilized linear regressions and mediation analysis to explore the interconnectedness of these challenges within a community-based sample of 313 AA women aged 45 and older. Approximately 23% of participants reported affordability problems, while 44% had a negative experience with a provider.

Lead time trajectory of blood-based protein biomarkers for detection of pancreatic cancer based on repeat testing.

In the current study, we assessed whether repeated measurements of a panel of protein biomarkers with relevance to pancreatic ductal adenocarcinoma (PDAC) improves lead time performance for earlier detection over a single timepoint measurement. Specifically, CA125, CEA, LRG1, REG3A, THBS2, TIMP1, TNRFSF1A as well as CA19-9 were assayed in serially collected pre-diagnostic plasma from 242 PDAC cases and 242 age- and sex-matched non-case control participants in the PLCO cohort. We compared performance estimates of a parametric empirical Bayes (PEB) algorithm, which incorporates participant biomarker history, to that of a single-threshold (ST) method.

Development and validation of computable social phenotypes for health-related social needs.

Objective: Measurement of health-related social needs (HRSNs) is complex. We sought to develop and validate computable phenotypes (CPs) using structured electronic health record (EHR) data for food insecurity, housing instability, financial insecurity, transportation barriers, and a composite-type measure of these, using human-defined rule-based and machine learning (ML) classifier approaches.

Materials And Methods: We collected HRSN surveys as the reference standard and obtained EHR data from 1550 patients in 3 health systems from 2 states.

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant.

Epidemiological and Oral Public Health Aspects of Dental Pain: A Narrative Review.

The aim of this narrative review is to synthesize and discuss existing evidence on the epidemiological aspects of dental pain, addressing its prevalence, risk factors, population distribution, impact on the quality of life, and implications for public health. Dental pain is a common condition that involves complex mechanisms of pain transmission and perception. Dental pain can be due to various causes, such as caries, pulpitis, periodontitis, dental trauma, and soft tissue conditions (e.

Using a Social Network Approach to Characterize Oral Health Behavior Social Support Among Mexican-Origin Young Adults.

Using a social network approach, we characterize who Mexican-origin young adults perceive as social support sources for oral health behaviors and provide additional validity evidence for Oral Health Behavior Social Support Scales (OHBSS). From April to September 2022, we gathered social network data from 62 Mexican-origin adults (21-40 years old) through Zoom interviews about their perceived received social support for three oral health behaviors (toothbrushing, flossing, and obtaining dental care) from three potential sources of support (family, health providers, and others/friends). Overall, we found similar results across all three oral health behaviors.

A Clinical Decision Support System for Addressing Health-Related Social Needs in Emergency Department: Defining End User Needs and Preferences.

Background:  Health-related social needs (HRSNs) are the unmet social and economic needs (e.g., housing instability) that affect individuals' health and well-being.

Human-Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace.

Background/objectives: Studies on the application and exploration of human-computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a notable shortage of comprehensive bibliometric analyses dedicated to the application of HCI in healthcare, which limits a thorough comprehension of the growth trends and future trajectories in this area.

Methods: To bridge this gap, we employed bibliometric methods using the CiteSpace tool to systematically review and analyze the current state and trends of HCI research in healthcare.

Dietary intake of isoflavones and coumestrol and risk of pancreatic cancer in the prostate, lung, colorectal, and ovarian cancer screening trial.

Background: Although phytoestrogens modulated pancreatic tumour growth in experimental studies, it remains unclear whether phytoestrogen intake is associated with pancreatic cancer.

Methods: Of 92,278 persons who completed the Diet History Questionnaire in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial, 346 were diagnosed with pancreatic cancer within a median follow-up of 9.4 years.

Influenza vaccine effectiveness against hospitalizations and emergency department or urgent care encounters for children, adolescents, and adults during the 2023-2024 season, United States.

Background: The 2023-2024 influenza season had predominant influenza A(H1N1)pdm09 virus activity, but A(H3N2) and B viruses co-circulated. Seasonal influenza vaccine strains were well-matched to these viruses.

Methods: Using health care encounters data from health systems in 8 states, we evaluated influenza vaccine effectiveness (VE) against influenza-associated medical encounters from October 2023-April 2024.

Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments.

Objective: Existing literature shows associations between patient demographics and reported experiences of care, but this relationship is poorly understood. Our objective was to use natural language processing of patient comments to gain insight into associations between patient demographics and experiences of care.

Methods: This is a cross-sectional study of 14,848 unique emergency department (ED) patient visits from 1/1/2020 to 12/31/2020.

Associations between patient portal use and electronic health record (EHR) data timeliness in type 2 diabetes mellitus care.

Objective: Patient data is subject to missingness and errors. Patient portals enable patients managing type 2 diabetes mellitus (T2DM) to review and correct data to avoid retesting, medication errors, and diagnostic mistakes. We examined whether patient portal use was associated with electronic health record (EHR) data timeliness in T2DM care.

Implementation and sustainability of systems change for mental health promotion and substance misuse prevention: a qualitative study.

Background: Social determinants of health have been shown to influence individual mental health and overall well-being. Additionally, populations that experience stigma and/or discrimination because of race, class, gender, or another identity group experience disproportionately higher rates of mental health disorders than populations that do not experience such marginalization. One way to address upstream social determinants that influence mental health is through systems change initiatives.

Impact of Social Determinants of Health on Follow-up for Neonates Requiring Neurocritical Care.

Objective:  This study aimed exploration of associations of social determinants of health (SDH) with attrition rates of neurocritical care graduates at follow-up.

Study Design:  An observational retrospective cohort study was conducted to evaluate the attrition rates of an infant's first appointment scheduled with the NeuroNICU follow-up clinic in correlation with SDH.

Results:  The "No Show" group was more likely to have unemployed ( = 0.

Performance of Dysmorphology-Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing.

Background: Dysmorphology evaluation is important for congenital heart disease (CHD) assessment, but there are no prior investigations quantifying the screening performance compared to standardized genetics evaluations. We investigated this through systematic dysmorphology assessment in CHD patients with standardized genetic testing in primarily pediatric patients with CHD.

Methods: Dysmorphology evaluations preceding genetic testing results allowed us to test for associations between dysmorphic status and genetic diagnoses while adjusting for extracardiac anomalies (ECAs).

Standards of care for peripheral intravenous catheters: evidence-based expert consensus.

Background: The insertion of a PIVC is the most commonly performed invasive procedure in healthcare. Despite its frequency in placement in hospitalized patients, PIVCs are generally perceived as being safe; however, the prevalence of failure ranges from 35%-50%. Additionally, complications are common and often deemed 'acceptable' by clinicians.

Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support.

Objectives: To highlight the often overlooked role of user interface (UI) design in mitigating bias in artificial intelligence (AI)-based clinical decision support (CDS).

Materials And Methods: This perspective paper discusses the interdependency between AI-based algorithm development and UI design and proposes strategies for increasing the safety and efficacy of CDS.

Results: The role of design in biasing user behavior is well documented in behavioral economics and other disciplines.