Electronic Data Research Articles

Building and Sustaining Public Trust in Health Data Sharing for Musculoskeletal Research: Semistructured Interview and Focus Group Study.

Although many people are supportive of their deidentified health care data being used for research, concerns about privacy, safety, and security of health care data remain. There is low awareness about how data are used for research and related governance. Transparency about how health data are used for research is crucial for building public trust. One proposed solution is to ensure that affected communities are notified, particularly marginalized communities where there has previously been a lack of engagement and mistrust. This study aims to explore patient and public perspectives on the use of deidentified data from electronic health records for musculoskeletal research and to explore ways to build and sustain public trust in health data sharing for a research program (known as "the Data Jigsaw") piloting new ways of using and analyzing electronic health data. Views and perspectives about how best to engage with local communities informed the development of a public notification campaign about the research. Qualitative methods data were generated from 20 semistructured interviews and 8 focus groups, comprising 48 participants in total with musculoskeletal conditions or symptoms, including 3 carers. A presentation about the use of health data for research and examples from the specific research projects within the program were used to trigger discussion. We worked in partnership with a patient and public involvement group throughout the research and cofacilitated wider community engagement. Respondents were supportive of their health care data being shared for research purposes, but there was low awareness about how electronic health records are used for research. Security and governance concerns about data sharing were noted, including collaborations with external companies and accessing social care records. Project examples from the Data Jigsaw program were viewed positively after respondents knew more about how their data were being used to improve patient care. A range of different methods to build and sustain trust were deemed necessary by participants. Information was requested about: data management; individuals with access to the data (including any collaboration with external companies); the National Health Service's national data opt-out; and research outcomes. It was considered important to enable in-person dialogue with affected communities in addition to other forms of information. The findings have emphasized the need for transparency and awareness about health data sharing for research, and the value of tailoring this to reflect current and local research where residents might feel more invested in the focus of research and the use of local records. Thus, the provision for targeted information within affected communities with accessible messages and community-based dialogue could help to build and sustain public trust. These findings can also be extrapolated to other conditions beyond musculoskeletal conditions, making the findings relevant to a much wider community.

Assessment of Changes in Sensory Characteristics of Strawberries during 5-Day Storage through Correlation between Human Senses and Electronic Senses.

In the last decade, significant efforts have been made to predict sensory characteristics using electronic senses, such as the electronic nose (e-nose) and the electronic tongue (e-tongue), and discuss their relationship to the eating quality evaluated by human panels. This study was conducted (1) to characterize the aroma and taste profiles of strawberries over a 5-day storage period (4 °C) using both electronic senses and human panels and (2) to correlate the electronic sense data with human panel data. A total of 10 sensory attributes of strawberries, including 7 aroma and 3 taste attributes, were analyzed by a descriptive sensory panel (n = 16) over the five days. Although the human panel did not find significant differences in the intensities of the strawberry attributes over the five days, the intensity ratings showed an increasing or decreasing trend over the storage period. However, the e-nose and the e-tongue discriminated each of the storage days of the strawberry samples. Furthermore, the partial least square regression coefficients of determination (R2) indicated that the e-nose and the e-tongue were highly predictive in their evaluation of the intensities of all the descriptive sensory attributes. Lastly, the concentrations of furaneol, one of the key volatiles imparting a distinct ripe strawberry aroma, were determined using an e-nose to correlate with the intensities of aroma attributes evaluated by the panel. A significant positive Pearson's correlation coefficient was found with the intensities of overripe aroma. The findings indicate the potential of electronic senses to determine sensory characteristics and their excellent capability to predict the eating quality of strawberries.

Associations between Systemic and Dental Diseases in Elderly Korean Population

Background and Objectives: Modernization and population aging have increased the prevalence of systemic diseases, such as diabetes and hypertension, which are often accompanied by various dental diseases. Our aim was to investigate associations between common dental conditions and major systemic diseases in an elderly Korean population. Materials and Methods: Utilizing electronic medical record data from 43,525 elderly patients, we examined the prevalence of systemic diseases (diabetes, hypertension, rheumatoid arthritis, osteoporosis, dementia) and dental conditions (caries, periodontal disease, pulp necrosis, tooth loss). The analysis focused on the correlations between these diseases. Results: Significant associations were found between systemic diseases and an increased prevalence of dental conditions. Patients with systemic diseases, especially those with multiple conditions, had higher incidences of periodontal disease and tooth loss. The correlation was particularly strong in patients with diabetes and rheumatoid arthritis. Interestingly, temporomandibular joint disorder was less frequent in this cohort. Conclusions: The findings highlight the importance of integrated dental care in managing systemic diseases in elderly populations. Enhanced dental monitoring and proactive treatment are essential due to the strong association between systemic diseases and dental conditions. Collaboration between dental and medical professionals is crucial for comprehensive care that improves health outcomes and quality of life for elderly patients.

Performance of Machine Learning Suicide Risk Models in an American Indian Population

Few suicide risk identification tools have been developed specifically for American Indian and Alaska Native populations, even though these populations face the starkest suicide-related inequities. To examine the accuracy of existing machine learning models in a majority American Indian population. This prognostic study used secondary data analysis of electronic health record data collected from January 1, 2017, to December 31, 2021. Existing models from the Mental Health Research Network (MHRN) and Vanderbilt University (VU) were fitted. Models were compared with an augmented screening indicator that included any previous attempt, recent suicidal ideation, or a recent positive suicide risk screen result. The comparison was based on the area under the receiver operating characteristic curve (AUROC). The study was performed in partnership with a tribe and local Indian Health Service (IHS) in the Southwest. All patients were 18 years or older with at least 1 encounter with the IHS unit during the study period. Data were analyzed between October 6, 2022, and July 29, 2024. Suicide attempts or deaths within 90 days. Model performance was compared based on the ability to distinguish between those with a suicide attempt or death within 90 days of their last IHS visit with those without this outcome. Of 16 835 patients (mean [SD] age, 40.0 [17.5] years; 8660 [51.4%] female; 14 251 [84.7%] American Indian), 324 patients (1.9%) had at least 1 suicide attempt, and 37 patients (0.2%) died by suicide. The MHRN model had an AUROC value of 0.81 (95% CI, 0.77-0.85) for 90-day suicide attempts, whereas the VU model had an AUROC value of 0.68 (95% CI, 0.64-0.72), and the augmented screening indicator had an AUROC value of 0.66 (95% CI, 0.63-0.70). Calibration was poor for both models but improved after recalibration. This prognostic study found that existing risk identification models for suicide prevention held promise when applied to new contexts and performed better than relying on a combined indictor of a positive suicide risk screen result, history of attempt, and recent suicidal ideation.

Cybersecurity lessons from the Vastaamo psychotherapy data breach for psychiatrists and other mental healthcare providers.

The Vastaamo psychotherapy data breach in Finland is perhaps the largest cybersecurity incident in mental healthcare to date, resulting in significant patient harm. There are specific lessons for mental healthcare providers from an analysis of the incident. Case study of this specific electronic health record data breach, based on detailed media reporting. The issues raised include: the importance of governance of the cybersecurity of sensitive personal patient data, such as compliance with legislative requirements on privacy and data security; specific security measures such as de-identification of data, data protection via passwords, multi-factor authentication, firewalls and encryption; and timely and effective communication, and support of those who have been affected. The implications for mental healthcare providers, including psychiatrists and trainees, are that, within their capability, providers need to assess the efficacy and robustness of cybersecurity of electronic health record systems they use, and carefully consider the information that is recorded to minimise exposures such as in the Vastaamo breach.

Racial and ethnic disparities in COVID-19 hospital cost of care.

Although studies have evaluated the hospital cost of care associated with treating patients with COVID-19, there are no studies that compare the hospital cost of care among racial and ethnic groups based on detailed cost accounting data. The aims of this study were to provide a detailed description of the hospital costs of COVID-19 based on individual resources during the hospital stay and standardized costs that do not rely on inflation adjustment and evaluate the extent to which hospital total cost of care for patients with COVID-19 differs by race and ethnicity. This study used electronic medical record data from an urban academic medical center in Chicago, Illinois USA. Hospital cost of care was calculated using accounting data representing the cost of the resources used to the hospital (i.e., cost to the hospital, not payments). A multivariable generalized linear model with a log link function and inverse gaussian distribution family was used to calculate the average marginal effect (AME) for Black, White, and Hispanic patients. A second regression model further compared Hispanic patients by preferred language (English versus Spanish). In our sample of 1,853 patients, the average adjusted cost of care was significantly lower for Black compared to White patients (AME = -$5,606; 95% confidence interval (CI), -$10,711 to -$501), and Hispanic patients had higher cost of care compared to White patients (AME = $8,539, 95% CI, $3,963 to $13,115). In addition, Hispanic patients who preferred Spanish had significantly higher cost than Hispanic patients who preferred English (AME = $11,866; 95% CI $5,302 to $18,431). Total cost of care takes into account both the intensity of the treatment as well as the duration of the hospital stay. Thus, policy makers and health systems can use cost of care as a proxy for severity, especially when looking at the disparities among different race and ethnicity groups.

Rethinking Measures and Mortality Attribution in Health Care: The ENT Example.

National performance metrics ultimately enhance patient decision-making and promote meaningful improvements in health care delivery, which makes having valid and reliable measures essential. This study examined US News and World Report metrics from 2019 to 2012 and used electronic health record data, combined with detailed chart review across 3 in-system hospitals, to assess the provision of care compared to the attribution of patients assigned to the ear, nose, and throat (ENT) mortality group. Of the initial 47 ENT-attributed deaths, 23 of those were verified, dimensioning the mortality rate from 1.7% to just 0.8%. These results underscore the necessity of rethinking measures and mortality attribution methodologies to be more accurate. Current methods use Medicare Severity Diagnosis Related Group billing coding to map the attribution. We suggest transitioning away from specialty ranking approaches and towards a procedure and condition "rating" approach to ensure that these ranking types capture data about the provision of care within a given encounter.

Associations of parenting styles with substance use in the offspring-A systematic review and meta-analysis.

Parenting styles have been suggested to predict the use of psychoactive substances in the offspring, although the size of associations might vary between cultures. The present meta-analysis tested whether parenting styles show concurrent and longitudinal associations with substance use and whether this association is moderated by study characteristics. A systematic search in electronic data bases resulted in 184 studies that were included in multi-level meta-analysis. An authoritative parenting style correlated with lower substance use (r =-0.12, confidence interval [CI] -0.14 to -0.10) while the reverse was found for neglectful (r = 0.10, CI 0.08 to 0.13), permissive (r = 0.04, CI 0.01 to 0.07) and authoritarian parenting (r = 0.03, CI 0.00 to 0.05). Analysis of cross-lagged effects found only an effect of authoritative parenting on decline of substance use (r = -0.06, CI -0.12 to -0.00). The size of associations varied, in part, by levels of horizontal and vertical collectivism or individualism, assessment of three versus four parenting styles, type of substance, and use of same versus different informants for assessing parenting and substance use. Parenting styles show small to very small associations with substance use. Although parents are recommended to behave in an authoritative manner, we should have only modest expectations about the effects of parenting styles on substance use in the offspring.

Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems.

Flexible electronics are integral in numerous domains such as wearables, healthcare, physiological monitoring, human-machine interface, and environmental sensing, owing to their inherent flexibility, stretchability, lightweight construction, and low profile. These systems seamlessly conform to curvilinear surfaces, including skin, organs, plants, robots, and marine species, facilitating optimal contact. This capability enables flexible electronic systems to enhance or even supplant the utilization of cumbersome instrumentation across a broad range of monitoring and actuation tasks. Consequently, significant progress has been realized in the development of flexible electronic systems. This study begins by examining the key components of standalone flexible electronic systems-sensors, front-end circuitry, data management, power management and actuators. The next section explores different integration strategies for flexible electronic systems as well as their recent advancements. Flexible hybrid electronics, which is currently the most widely used strategy, is first reviewed to assess their characteristics and applications. Subsequently, transformational electronics, which achieves compact and high-density system integration by leveraging heterogeneous integration of bare-die components, is highlighted as the next era of flexible electronic systems. Finally, the study concludes by suggesting future research directions and outlining critical considerations and challenges for developing and miniaturizing fully integrated standalone flexible electronic systems.

Intervention for the Management of Neuropsychiatric Symptoms to Reduce Caregiver Stress: Protocol for the Mindful and Self-Compassion Care Intervention for Caregivers of Persons Living With Dementia.

Stress related to Alzheimer disease and related dementias (ADRD) is common, particularly among those who care for persons with challenging behaviors and personality or mood changes. Mindfulness and self-compassion programs are efficacious for managing stress. The skills of mindfulness and self-compassion, however, must be integrated with behavioral management skills in order to effectively improve caregiver stress. In this study, we aimed to describe the development of the Mindful and Self-Compassionate Care (MASC) program, the first program that combines mindfulness and self-compassion with behavioral management skills to decrease caregiver stress, and its evaluation in the Supporting Our Caregivers in ADRD Learning (SOCIAL) study. Using the National Institutes of Health (NIH) stage model, we describe 3 phases of work encompassing NIH Stages 1A and 1B. In phase 1, we conducted 5 focus groups (N=28) of stressed individuals caring for persons with ADRD and challenging behaviors. Rapid data analysis informed the development of a 6-week online intervention. Phase 2 (NIH stage 1A) includes an open pilot (N>10) with optional exit interviews. Phase 3 (NIH stage 1B) is a feasibility randomized controlled trial of the intervention versus the Health Education Program control. Primary outcomes focus on feasibility with secondary outcomes encompassing acceptability, credibility, fidelity, and signals of preliminary efficacy. Phase 1 follows traditional recommendations for qualitative analyses (at the point of thematic saturation) which was achieved after 5 focus groups (N=28). For the phase 2 open pilot, up to 12 participants will be recruited. For the phase 3 feasibility study, recruitment of 80 caregivers will allow the assessment of feasibility benchmarks. Data for phase 1 included 5 focus groups. In phases 2 and 3, data collection will occur through REDCap (Research Electronic Data Capture; Vanderbilt University) surveys and an optional qualitative exit interview. Analyses will include hybrid inductive-deductive analyses for qualitative data and assessment of changes in our intervention targets and outcomes using t tests and correlation analyses. In phase 1, caregivers reported interest in a brief, online stress management program. Participants held misconceptions about mindfulness and self-compassion, but after detailed explanation thoughts, these skills could be helpful when directly linked to implementation during caregiving routines. Phases 2 and 3 will be completed by the end of 2025. We describe the protocol for the Supporting Our Caregivers in ADRD Learning study, as well as the development and feasibility testing of the Mindful and Self-Compassionate Care intervention. Future work will include a fully powered efficacy-effectiveness randomized controlled trial. ClinicalTrials NCT05847153; https://clinicaltrials.gov/study/NCT05847153; and ClinicalTrials.gov NCT06276023; https://clinicaltrials.gov/study/NCT06276023. DERR1-10.2196/58356.

Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study

AimInteractions between patients and healthcare professionals (HCP) during hospital admissions are complex and difficult to interrogate using traditional analysis of electronic patient record (EPR) data. The objective of this study...

Evaluation of an Outpatient Cervical Ripening Program Using Osmotic Dilators and Foley Balloon Catheters.

This study aimed to describe patient characteristics, satisfaction, and outcome measures for patients undergoing outpatient cervical ripening. A retrospective cohort study using electronic health record data from March 2020 to March 2022 from a large health system. The sample included patients with a low-risk singleton pregnancy undergoing outpatient cervical ripening with either an osmotic dilator or Foley balloon catheter. A subset of patients completed satisfaction surveys. Frequencies and means were used to describe the population and conduct comparisons by device type. Inverse probability of treatment weighted estimates were generated to address baseline differences between patients in the two device groups. Outpatient cervical ripening was completed by 120 patients (80 osmotic dilators and 40 Foley balloon catheters). The mean time from insertion to inpatient admission was 16.2 ± 4.8 hours. The mean change in simplified Bishop score (SBS) was 1.8 ± 1.4 and the mean change in dilation was 1.8 ± 1.1 cm. There were no differences in the amount of cervical change by device type. Patients returned earlier than planned 16.7% of the time, primarily for contractions or rupture of membranes. Following outpatient cervical ripening, the time from admission to delivery was 19.9 ± 10.3 hours, with no difference by device type. Vaginal delivery occurred for 74.8% of patients. Patients reported overall satisfaction with the outpatient cervical ripening experience, with the highest satisfaction among those with osmotic dilators. Patients with both device types stated they would recommend outpatient cervical ripening to others, and experienced low levels of stress and discomfort at home prior to hospital admission. Patients participating in outpatient cervical ripening with osmotic dilators or Foley balloon catheters experienced clinically meaningful changes in dilation and SBSs while at home and reported general satisfaction with the outpatient program experience. · Outpatient use of osmotic dilators or Foley balloon catheters improved Bishop scores.. · Patient and device complications were comparable to other research findings.. · Patients reported overall satisfaction with outpatient cervical ripening..

Equity-Focused Evaluation of a Medicaid-Funded Statewide Diabetes Quality Improvement Project Collaborative.

To evaluate the Ohio Diabetes Quality Improvement Project (QIP) equity aim to reduce the percentage of Non-Hispanic Black (NHB) and Hispanic patients with A1C >9% by ≥20% over 2 years. The Ohio Department of Medicaid, Ohio Colleges of Medicine Government Resource Center, Ohio Medicaid managed care plans, and seven medical schools in Ohio formed the Diabetes QIP collaborative using the collective impact model to improve diabetes outcomes and equity in 20 practices across 11 health systems. The quality improvement (QI) strategies included data audit and feedback, peer-to-peer learning, QI coaching/practice facilitation, and subject matter expert consultation through coaching calls, monthly webinars, and annual virtual learning sessions. Electronic health record data were collected for preintervention (2019-2020) and intervention (2020-2022) periods. Assessments of improvements in A1C were based on prevalence of A1C >9% from preintervention, year 1, and year 2 with stratification by race and ethnicity. The Diabetes QIP included 7,689 (54% female) sociodemographically diverse patients, self-identifying as non-Hispanic White (NHW) (42%), NHB (43%), Hispanic (8%), non-Hispanic Asian (4%), or other (3%). In year 2 compared with baseline, there were decreases in the proportion of patients with A1C >9% among NHW, NHB, and Hispanic patients (NHW from 19% to 12% [37% reduction], NHB 23% to 18% [22% reduction], and Hispanic 29% to 23% [20% reduction]). The Ohio Diabetes QIP, focused on multisector collaborative approaches, reduced the percentage of patients with A1C >9% by ≥20% among NHW, NHB, and Hispanic populations. Given the persistence of disparities, further equity-focused refinements are warranted to address disparities in diabetes control.

Social Vulnerability Index and Dental Caries in Children: An Exploratory Study.

This retrospective cross-sectional study evaluated the association between caries outcomes in a pediatric population visiting a dental clinic and the social vulnerability index, an area-based measure capturing 4 main social determinants of health: socioeconomic status, household composition/disability, minority status/language, and housing/transportation. The Centers for Disease Control Social Vulnerability Index (SVI) and electronic dental record data of children (0 to 18 y) reporting a caries diagnosis at the Children's Hospital Colorado in 2020 were extracted for 9,201 children. Logistic regressions were used to test the association between SVI and the presence or absence of dental caries, adjusting for age, sex, ethnicity, and race. Children with a caries diagnosis had a greater mean overall SVI percentile (62.0, standard deviation [SD] = 29.1) compared with patients without a caries diagnosis (59.1, SD = 29.8; P < 0.001). With each 10-point increase in the overall SVI percentile, having a caries diagnosis visit was 2.7% more likely compared with having a visit without a caries diagnosis (odds ratio [OR] 1.027, 95% confidence interval [CI] 1.012, 1.042; P = 0.0004). Those with an overall SVI percentile between 51 and 75 were 23% more likely to have a caries diagnosis compared with those with a percentile ≤25 (OR 1.23, 95% CI 1.07, 1.42; P = 0.003), and those with a percentile >75 were 23.6% more likely to have a caries diagnosis compared with those with a percentile ≤25 (OR 1.236, 95% CI 1.09, 1.40; P = 0.001). Children (0 to 18 y) living in socially vulnerable environments or areas were more likely to have a caries diagnosis at their dental exam. This study showed an association between social determinants of health demonstrating social vulnerability and dental caries in children. Ultimately, understanding upstream factors for children living in socially vulnerable areas could support policymakers in creating more effective policies to support socially vulnerable populations.

Impact of care coordination on service utilisation for children with medically complex cerebral palsy.

Complex care programmes for children with medically complex cerebral palsy (CP) exist; however, evidence for their impact is limited. This study (i) explored the impact of The Royal Children's Hospital Complex Care Hub (CCH) on hospital service utilisation rates over a 3-year period for children with medically complex CP compared with those eligible but received routine care, and (ii) compared health, disability and socio-demographic characteristics of children and their families in both groups. Electronic medical record data from 78 children (mean age 9.43 years, females n = 37) with medically complex CP who accessed CCH services, and 92 (mean age 10.86 years, females, n = 39) who received routine care were included. Multivariable regression was used to analyse service utilisation: number of emergency department (ED) presentations, length/number of inpatient and intensive care unit admissions and number/type of hospital appointments. Critical health-care needs, functioning/disability profile and child/family demographics for each group were compared. More children in the CCH group had a mixed motor type (73.1% vs. 15.2%), were classified within Gross Motor Function Classification System level V (76.9% vs. 34.8%), had respiratory, nutrition and social support needs and epilepsy. Children receiving CCH services had higher service utilisation rates; ED presentations (rate ratio (RR) = 1.81, 95% confidence interval (CI): 1.09-3.01), inpatient admissions (RR = 2.77, 95% CI: 2.01-3.83), outpatient encounters (RR = 1.69, 95% CI: 1.31-2.18) and telephone encounters (RR = 6.05, 95% CI: 4.56-8.02). Children with medically complex CP accessing a complex care service have higher service utilisation rates yet have more complex clinical presentations and higher support needs.

Nonlinear Analysis and Closed-Form Solution for Overhead Line Magnetic Energy Harvester Behavior

Recently, much attention has been given to the development of various energy harvesting technologies to power remote electronic sensors, data loggers, and communicators that can be installed on smart grid systems. Magnetic energy harvesting is, perhaps, the most straightforward way to capture a significant amount of power from a current-carrying overhead line. Since the harvester is expected to have a small size, the high currents of the distribution system easily saturate its magnetic core. As a result, the operation of the magnetic harvester is highly nonlinear and makes precise analytical modeling difficult. The operation of an overhead line magnetic energy harvester (OLMEH) generating significant DC power output into a constant voltage load was investigated in this paper. The analysis method was based on the Froelich equation to analytically model the nonlinearity of the core’s BH characteristic. The main findings of this piecewise nonlinear analysis include a closed-form solution that accounts for both the core and rectifiers’ nonlinearities and provides an accurate prediction of OLMEH transfer window length, output current, and harvested power. Continuous and discontinuous operational modes are identified and the mode transition boundary is obtained quantitatively. The theoretical investigation was concluded by comparison with a computer simulation and also verified by the experimental results of a laboratory prototype harvester. A good agreement was found.

Digital Health Readiness: Making Digital Health Care More Inclusive.

This paper proposes an approach to assess digital health readiness in clinical settings to understand how prepared, experienced, and equipped individual people are to participate in digital health activities. Existing digital health literacy and telehealth prediction tools exist but do not assess technological aptitude for particular tasks or incorporate available electronic health record data to improve efficiency and efficacy. As such, we propose a multidomain digital health readiness assessment that incorporates a person's stated goals and motivations for use of digital health, a focused digital health literacy assessment, passively collected data from the electronic health record, and a focused aptitude assessment for critical skills needed to achieve a person's goals. This combination of elements should allow for easy integration into clinical workflows and make the assessment as actionable as possible for health care providers and in-clinic digital health navigators. Digital health readiness profiles could be used to match individuals with support interventions to promote the use of digital tools like telehealth, mobile apps, and remote monitoring, especially for those who are motivated but do not have adequate experience. Moreover, while effective and holistic digital health readiness assessments could contribute to increased use and greater equity in digital health engagement, they must also be designed with inclusivity in mind to avoid worsening known disparities in digital health care.

Влияние количественного состава защитной линии футбольной команды на её оборонительную эффективность

In order to compare the defensive effectiveness of football teams using tactical systems with different quantitative composition of the defensive line, the defensive effectiveness of teams from five European leagues and the Russian Premier League for 8 full seasons 2014-2022 was compared on a number of indicators (goals conceded, shots allowed on their own goal, expected goals conceded) based on electronic data resource understat.com. According to statistical analysis, tactical systems with two central defenders are more defensively effective than tactical systems with three central defenders, according to the xGa indicator (expected goals conceded). Significant differences in xGa were obtained for the English Premier League, the Spanish La Liga; differences at the trend level in xGa were obtained for the French Ligue 1 and all the championships considered in general. Further research is needed, taking into account not only the type of tactical system of the team, but also the type of the opposing team and other factors affecting the defensive effectiveness of the team.

Novel linkage of the Society of Thoracic Surgeons database and hospital electronic health records.

Society of Thoracic Surgeons Congenital Heart Surgery Database is the largest congenital heart surgery database worldwide but does not provide information beyond primary episode of care. Linkage to hospital electronic health records would capture complications and comorbidities along with long-term outcomes for patients with CHD surgeries. The current study explores linkage success between Society of Thoracic Surgeons Congenital Heart Surgery Database and electronic health record data in North Carolina and Georgia. The Society of Thoracic Surgeons Congenital Heart Surgery Database was linked to hospital electronic health records from four North Carolina congenital heart surgery using indirect identifiers like date of birth, sex, admission, and discharge dates, from 2008 to 2013. Indirect linkage was performed at the admissions level and compared to two other linkages using a "direct identifier," medical record number: (1) linkage between Society of Thoracic Surgeons Congenital Heart Surgery Database and electronic health records from a subset of patients from one North Carolina institution and (2) linkage between Society of Thoracic Surgeons data from two Georgia facilities and Georgia's CHD repository, which also uses direct identifiers for linkage. Indirect identifiers successfully linked 79% (3692/4685) of Society of Thoracic Surgeons Congenital Heart Surgery Database admissions across four North Carolina hospitals. Direct linkage techniques successfully matched Society of Thoracic Surgeons Congenital Heart Surgery Database to 90.2% of electronic health records from the North Carolina subsample. Linkage between Society of Thoracic Surgeons and Georgia's CHD repository was 99.5% (7,544/7,585). Linkage methodology was successfully demonstrated between surgical data and hospital-based electronic health records in North Carolina and Georgia, uniting granular procedural details with clinical, developmental, and economic data. Indirect identifiers linked most patients, consistent with similar linkages in adult populations. Future directions include applying these linkage techniques with other data sources and exploring long-term outcomes in linked populations.

Enabling a Learning Public Health System: Enhanced Surveillance of HIV and Other Sexually Transmitted Infections.

Sexually transmitted infections (STIs) continue to pose a substantial public health challenge in the United States (US). Surveillance, a cornerstone of disease control and prevention, can be strengthened to promote more timely, efficient, and equitable practices by incorporating health information exchange (HIE) and other large-scale health data sources into reporting. New York City patient-level electronic health record data between January 1, 2018 and June 30, 2023 were obtained from Healthix, the largest US public HIE. Healthix data were linked to neighborhood-level information from the American Community Survey. In this cross-sectional study, we compared patients who received a test or tested positive for chlamydia, gonorrhea, and/or HIV with patients who were untested or tested negative, respectively, using generalized estimating equations with logit function and robust standard errors. Among 1,519,121 tests performed for chlamydia, 1,574,772 for gonorrhea, and 1,200,560 for HIV, 2%, 0.6% and 0.3% were positive for chlamydia, gonorrhea, and HIV, respectively. Chlamydia and gonorrhea co-occurred in 1,854 cases (7% of chlamydia and 21% of gonorrhea total cases). Testing behavior was often incongruent with geographic and sociodemographic patterns of positive cases. For example, people living in areas with the highest levels of poverty were less likely to test for gonorrhea but almost twice as likely to test positive compared to those in low poverty areas. Regional HIE enabled review of testing and cases using granular and complementary data not typically available given existing reporting practices. Enhanced surveillance spotlights potential incongruencies between testing patterns and STI risk in certain populations, signaling potential under- and over-testing. These and future insights derived from HIE data may be used to continuously inform public health practice and drive further improvements in provision and evaluation of services and programs.