Interstage monitoring programs for single ventricle disease have been developed to reduce morbidity and mortality. There is increased use of telemedicine and mobile application monitoring. It is unknown if there are disparities in use based on patient socio-demographic factors.

We conducted a retrospective cohort study of patients enrolled in the single ventricle monitoring program and KidsHeart application at a single centre from 4/21/2021 to 12/31/2023. We investigated the association of socio-demographic factors with telemedicine usage, mobile application enrollment and usage. We assessed resource utilisation and weight changes by program era.

There were 94 children in the cohort. Patients with Norwood and ductal stent had higher mean telemedicine visits per month (1.8 visits, p = 0.004), without differences based on socio-demographic factors. There were differences in application enrollment with more Black patients enrolled compared to White patients (p = 0.016). There were less Hispanic patients enrolled than Non-Hispanic patients (p = 0.034). There were no Spaish speaking patient’s enrolled (p = 0.0015). There were no patients with maternal education of less than high school enrolled and all those with maternal education of advanced degree were enrolled (p = 0.0016). There was decreased mobile application use in those from neighbourhoods in the lowest income quartile. There were decreased emergency department visits with mobile application monitoring. Mean weight-for-age z-scores had increased from start to completion of the program in all eras.

Differences were seen in mobile application enrollment and usage based on socio-demographic factors. Further work is needed to ensure that all patients have access to mobile application usage.

The present study characterized heterogeneity in the cognitive profiles of monolingual and bilingual Latino older adults enrolled in the HABS-HD.

A total of 859 cognitively unimpaired older adults completed neuropsychological testing. Raw scores for cognitive tests were converted to z-scores adjusted for age, education, sex, and language of testing. A latent profile analysis (LPA) was conducted for monolingual and bilingual speaker groups. A series of 2–5 class solutions were examined, and the optimal model was selected based on fit indices, posterior probabilities, proportion of sample sizes, and pattern of scores. Identified classes were compared on sociodemographic, psychosocial, and health characteristics.

For the monolingual group (n = 365), a 3-class solution was optimal; this consisted of a Low Average Memory group with low average verbal memory performances on the SEVLT Total Learning and Delayed Recall trials, as well as an Average Cognition group and a High Average Cognition group. For the bilingual group (n = 494), a 3-class solution was observed to be optimal; this consisted of a Low Average Memory group, with low average verbal memory performances on the learning and delayed recall trials of Logical Memory; a Low Average Executive group, where performance on Trails A and B and Digit Substitution were the lowest; and a High Average Cognition group, where performance was generally in the high average range across most cognitive measures.

Cognitive class solutions differed across monolingual and bilingual groups and illustrate the need to better understand cognitive variability in linguistically diverse samples of Latino older adults.

Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significant barrier to research and care quality.

We conducted a PubMed search using “SDOH” and “EHR” Medical Subject Headings terms, analyzing included articles across five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions.

Of 685 articles identified, 324 underwent full review. Key findings include implementation of tailored screening instruments, census and claims data linkage for contextual SDoH profiles, NLP systems extracting SDoH from notes, associations between SDoH and healthcare utilization and chronic disease control, and integrated care management programs. However, variability across data sources, tools, and outcomes underscores the need for standardization.

Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately, widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Seattle Children’s Research Institute is identifying the amount and type of health equity scholarship being conducted institution wide. However, methods for categorizing how scholarship is equity-focused are lacking. We developed and evaluated the reliability of a health equity scholarship coding schema applied to Seattle Children’s affiliated scholarship.

A 2021–2022 Ovid MEDLINE affiliation search yielded 3551 affiliated scholarship records, with 1079 records identified via an existing filter as scholarship addressing social determinants of health. Through reliability testing and examining concordance and discordance across three independent coders of these records, we developed a coding schema to classify health equity scholarship (yes/no). When health equity scholarship proved positive/Yes, the coders assigned a one through five maturity rating of the scholarship towards addressing inequities. Subsequent reliability testing including a new coder was conducted for 992 subsequent affiliated scholarship records (Oct 2022–June 2023), with additional testing of the sensitivity and specificity of the existing filter relative to the new coding schema.

Reliability for identifying health equity scholarship was consistently high (Fleiss kappas ≥ .78) and categorization of health equity scholarship into maturity levels was moderate (Fleiss kappas ≥ .47). The coding schema identified additional health equity scholarship not captured in an existing filter for social determinants of health scholarship. Based on the new schema, 23.3% of Seattle Childrens’ affiliated scholarship published October 2002–June 2023 was health equity focused.

This new coding schema can be used to identify and categorize health equity scholarship to help quantitate the health equity focus of portfolios of human-focused research.

People with psychosis experience worse cardiometabolic health than the same-aged general population. In New Zealand, Indigenous Māori experiencing psychosis have greater risk of cardiometabolic and other physical health problems.

To identify a cohort of adults accessing secondary mental health and addiction services in New Zealand, with a previous psychosis diagnosis as of 1 January 2018, and compare odds of hospital admission outcomes, mortality and receipt of cardiometabolic blood screening between Māori and non-Māori in the following 2 years.

Crude and adjusted logistic regression models compared odds of hospital admission outcomes, mortality and receipt of cardiometabolic blood screening (lipids and haemoglobin A1c) between Māori and non-Māori, occurring between 1 January 2018 and 31 December 2019.

A cohort (N = 21 214) of Māori (n = 7274) and non-Māori (n = 13 940) was identified. Māori had higher adjusted risk of mortality (odds ratio 1.26, 95% CI 1.03–1.54), and hospital admission with diabetes (odds ratio 1.64, 95% CI 1.43–1.87), cardiovascular disease (odds ratio 1.54, 95% CI 1.25–1.88) and any physical health condition (odds ratio 1.07, 95% CI 1.00–1.15) than non-Māori. Around a third of people did not receive recommended cardiometabolic blood screening, with no difference between Māori and non-Māori after covariate adjustment.

Māori experiencing psychosis are more likely to die and be admitted to hospital with cardiovascular disease or diabetes than non-Māori. Because of the higher cardiometabolic risk borne by Māori, it is suggested that cardiometabolic screening shortfalls will lead to worsening physical health inequities for Māori experiencing psychosis.

Invasive colonial influences and continuing neoliberal policies have a detrimental impact on Land, health, food and culture for Indigenous Communities. Food security and sovereignty have significant impacts on Indigenous well-being and, specifically, oral health. Aspects relating to food security, such as availability of nutritious foods, are a common risk factor of oral diseases. This scoping review aimed to collate existing evidence regarding the relationship between food sovereignty and/or food security and oral health for Indigenous Communities, globally.

Four databases were searched using keywords related to ‘Food security’ or ‘Food sovereignty,’ ‘Indigenous Peoples’ and ‘Oral health.’ Duplicates were removed, and two independent reviewers screened the titles and abstracts to identify articles for full-text review. Extracted data were summarised narratively, presenting a conceptual model which illustrates the findings and relationships between food security and/or food sovereignty and oral health.

The search identified 369 articles, with forty-one suitable for full-text review and a final nine that met inclusion criteria. The impact of food security and food sovereignty on oral health was discussed across different populations and sample sizes, ranging from eighteen Kichwa families in Brazil to 533 First Nations and Metis households in Canada. Pathways of influence between food sovereignty and/or food security are explored clinically, quantitatively and qualitatively across oral health outcomes, including early childhood caries, dental caries and oral health-related quality of life for Indigenous Communities.

Innovative strategies underpinned by concepts of Indigenous food sovereignty are needed to promote oral health equity for Indigenous Communities. The nexus between oral health and Indigenous food sovereignty remains largely unexplored, but has immense potential for empowering Indigenous rights to self-determination of health that honour Indigenous ways of knowing, being and doing.

Estimate the impact of 20 % flat-rate and tiered sugary drink tax structures on the consumption of sugary drinks, sugar-sweetened beverages and 100 % juice by age, sex and socio-economic position.

We modelled the impact of price changes – for each tax structure – on the demand for sugary drinks by applying own- and cross-price elasticities to self-report sugary drink consumption measured using single-day 24-h dietary recalls from the cross-sectional, nationally representative 2015 Canadian Community Health Survey-Nutrition. For both 20 % flat-rate and tiered sugary drink tax scenarios, we used linear regression to estimate differences in mean energy intake and proportion of energy intake from sugary drinks by age, sex, education, food security and income.

Canada.

19 742 respondents aged 2 and over.

In the 20 % flat-rate scenario, we estimated mean energy intake and proportion of daily energy intake from sugary drinks on a given day would be reduced by 29 kcal/d (95 % UI: 18, 41) and 1·3 % (95 % UI: 0·8, 1·8), respectively. Similarly, in the tiered tax scenario, additional small, but meaningful reductions were estimated in mean energy intake (40 kcal/d, 95 % UI: 24, 55) and proportion of daily energy intake (1·8 %, 95 % UI: 1·1, 2·5). Both tax structures reduced, but did not eliminate, inequities in mean energy intake from sugary drinks despite larger consumption reductions in children/adolescents, males and individuals with lower education, food security and income.

Sugary drink taxation, including the additional benefit of taxing 100 % juice, could reduce overall and inequities in mean energy intake from sugary drinks in Canada.

There is an urgent need to address pervasive inequities in health and healthcare in the USA. Many areas of health inequity are well known, but there remain important unexplored areas, and for many populations in the USA, accessing data to visualize and monitor health equity is difficult.

We describe the development and evaluation of an open-source, R-Shiny application, the “Health Equity Explorer (H2E),” designed to enable users to explore health equity data in a way that can be easily shared within and across common data models (CDMs).

We have developed a novel, scalable informatics tool to explore a wide variety of drivers of health, including patient-reported Social Determinants of Health (SDoH), using data in an OMOP CDM research data repository in a way that can be easily shared. We describe our development process, data schema, potential use cases, and pilot data for 705,686 people who attended our health system at least once since 2016. For this group, 996,382 unique observations for questions related to food and housing security were available for 324,630 patients (at least one answer for all 46% of patients) with 65,152 (20.1% of patients with at least one visit and answer) reporting food or housing insecurity at least once.

H2E can be used to support dynamic and interactive explorations that include rich social and environmental data. The tool can support multiple CDMs and has the potential to support distributed health equity research and intervention on a national scale.