Care Delivery Research Articles

Disparities in Teleneurology Use in Medicaid Beneficiaries With Epilepsy by Practice Setting: Promoting Health Equity in Academic Centers.

Medicaid beneficiaries in many American academic medical centers can receive care in a separate facility than those not covered by Medicaid. We aimed to identify possible disparities in care by evaluating the association between facility type (integrated faculty practice or Medicaid-only outpatient clinic) and telehealth utilization in people with epilepsy. We performed retrospective analyses using structured data from the Mount Sinai Health System electronic medical record data from January 2003 to August 2021. We identified people of all ages with epilepsy who were followed by an epileptologist after January 3, 2018, using a validated ICD-9-CM/10-CM coded case definition. We evaluated associations between practice setting and telehealth utilization, an outcome measure that captures the evolving delivery of neurologic care in a post-coronavirus disease 2019 era, using multivariable logistic regression. We identified 4,586 people with epilepsy seen by an epileptologist, including Medicaid beneficiaries in the Medicaid outpatient clinic (N = 387), Medicaid beneficiaries in the faculty practice after integration (N = 723), and non-Medicaid beneficiaries (N = 3,476). Patients not insured by Medicaid were significantly older (average age 40 years vs 29 in persons seen in Medicaid-only outpatient clinic and 28.5 in persons insured with Medicaid seen in faculty practice [p < 0.0001]). Medicaid beneficiaries were more likely to have drug-resistant epilepsy (DRE), with 51.94% of people seen in Medicaid-only outpatient clinic, 41.63% of Medicaid beneficiaries seen in faculty practice, and 37.2% of non-Medicaid beneficiaries having DRE (p < 0.0001). Medicaid outpatient clinic patients were less likely to have telehealth visits (phone or video); 81.65% of patients in the Medicaid outpatient clinic having no telehealth visits vs 71.78% of Medicaid beneficiaries in the faculty practice and 70.89% of non-Medicaid beneficiaries (p < 0.0001). In an adjusted logistic regression analysis, Medicaid beneficiaries had lower odds (0.61; 95% CI 0.46-0.81) of using teleneurology compared with all patients seen in faculty practice (p = 0.0005). Compared with the Medicaid-only outpatient clinic, we found higher telehealth utilization in the integrated faculty practice with no difference by insurance status (Medicaid vs other). Integrated care may be associated with better health care delivery in people with epilepsy; thus, future research should examine its impact on other epilepsy-related outcomes.

Dynamic mirroring: unveiling the role of digital twins, artificial intelligence and synthetic data for personalized medicine in laboratory medicine.

In recent years, the integration of technological advancements and digitalization into healthcare has brought about a remarkable transformation in care delivery and patient management. Among these advancements, the concept of digital twins (DTs) has recently gained attention as a tool with substantial transformative potential in different clinical contexts. DTs are virtual representations of a physical entity (e.g., a patient or an organ) or systems (e.g., hospital wards, including laboratories), continuously updated with real-time data to mirror its real-world counterpart. DTs can be utilized to monitor and customize health care by simulating an individual's health status based on information from wearables, medical devices, diagnostic tests, and electronic health records. In addition, DTs can be used to define personalized treatment plans. In this study, we focused on some possible applications of DTs in laboratory medicine when used with AI and synthetic data obtained by generative AI. The first point discussed how biological variation (BV) application could be tailored to individuals, considering population-derived BV data on laboratory parameters and circadian or ultradian variations. Another application could be enhancing the interpretation of tumor markers in advanced cancer therapy and treatments. Furthermore, DTs applications might derive personalized reference intervals, also considering BV data or they can be used to improve test results interpretation. DT's widespread adoption in healthcare is not imminent, but it is not far off. This technology will likely offer innovative and definitive solutions for dynamically evaluating treatments and more precise diagnoses for personalized medicine.

Working From Within: The Rural Community Participatory Design Framework.

This article describes the development of the rural community-based participatory design framework to guide healthcare design teams in their integration of rural community and clinical voice during the planning, design, and construction of a healthcare facility. Rural communities are facing an alarming rate of healthcare facility closures, provider shortages, and dwindling resources, which are negatively impacting population health outcomes. A prioritized focus on rural care access and delivery requires design teams to have a deeper understanding of the contextual considerations necessary for a successful healthcare facility project, made possible through engagement and partnership with rural dwelling community members and healthcare teams. The rural community participatory design framework is adapted from the rural participatory research model, selected due to its capture of key concepts and characteristics of rural communities. Underpinning theories included rural nursing theory and theory of the built environment. The framework encompasses healthcare facility project phases, key translational concepts, and common traits across rural communities and cultures. As a middle-range theoretical framework, it is being tested in a current healthcare project with a Critical Access Hospital in Montana to facilitate design team and stakeholder collaboration. The rural community participatory design framework may be utilized by design teams as a means of familiarization with rural cultures, norms, values, and critical needs, which relate to meaningful design. The framework further enables design teams to critically appraise best practices of stakeholder engagement throughout the project lifecycle.

Differences in quality of anticoagulation care delivery according to ethnoracial group in the United States: A scoping review.

Anticoagulation therapy is standard for conditions like atrial fibrillation, venous thromboembolism, and valvular heart disease, yet it is unclear if there are ethnoracial disparities in its quality and delivery in the United States. For this scoping review, electronic databases were searched for publications between January 1, 2011 - March 30, 2022. Eligible studies included all study designs, any setting within the United States, patients prescribed anticoagulation for any indication, outcomes reported for ≥ 2 distinct ethnoracial groups. The following four research questions were explored: Do ethnoracial differences exist in 1) access to guideline-based anticoagulation therapy, 2) quality of anticoagulation therapy management, 3) clinical outcomes related to anticoagulation care, 4) humanistic/educational outcomes related to anticoagulation therapy. A total of 5374 studies were screened, 570 studies received full-text review, and 96 studies were analyzed. The largest mapped focus was patients' access to guideline-based anticoagulation therapy (88/96 articles, 91.7%). Seventy-eight articles made statistical outcomes comparisons among ethnoracial groups. Across all four research questions, 79 articles demonstrated favorable outcomes for White patients compared to non-White patients, 38 articles showed no difference between White and non-White groups, and 8 favored non-White groups (the total exceeds the 78 articles with statistical outcomes as many articles reported multiple outcomes). Disparities disadvantaging non-White patients were most pronounced in access to guideline-based anticoagulation therapy (43/66 articles analyzed) and quality of anticoagulation management (19/21 articles analyzed). Although treatment guidelines do not differentiate anticoagulant therapy by ethnoracial group, this scoping review found consistently favorable outcomes for White patients over non-White patients in the domains of access to anticoagulation therapy for guideline-based indications and quality of anticoagulation therapy management. No differences among groups were noted in clinical outcomes, and very few studies assessed humanistic or educational outcomes.

Clinicians in the Veterans Health Administration initiate gender-affirming hormone therapy in concordance with clinical guideline recommendations

BackgroundGender-affirming hormone therapy (GAHT) is a common medical intervention sought by transgender and gender diverse (TGD) individuals. Initiating GAHT in accordance with clinical guideline recommendations ensures delivery of high-quality care. However, no prior studies have examined how current GAHT initiation compares to recommended GAHT initiation.ObjectiveThis study assessed guideline concordance around feminizing and masculinizing GAHT initiation in the Veterans Health Administration (VHA).MethodsThe sample included 4,676 veterans with a gender identity disorder diagnosis who initiated feminizing (n=3,547) and masculinizing (n=1,129) GAHT between 2007 and 2018 in VHA. Demographics and health conditions on veterans receiving feminizing and masculinizing GAHT were assessed. Proportion of guideline concordant veterans on six VHA guidelines on feminizing and masculinizing GAHT initiation were determined.ResultsCompared to veterans receiving masculinizing GAHT, a higher proportion of veterans receiving feminizing GAHT were older (≥60 years: 23.7% vs. 6.3%), White non-Hispanic (83.5% vs. 57.6%), and had a higher number of comorbidities (≥7: 14.0% vs. 10.6%). A higher proportion of veterans receiving masculinizing GAHT were Black non-Hispanic (21.5% vs. 3.5%), had posttraumatic stress disorder (43.0% vs. 33.9%) and positive military sexual trauma (33.5% vs.16.8%; all p-values&amp;lt;0.001) than veterans receiving feminizing GAHT. Among veterans who started feminizing GAHT with estrogen, 97.0% were guideline concordant due to no documentation of contraindication, including venous thromboembolism, breast cancer, stroke, or myocardial infarction. Among veterans who started spironolactone as part of feminizing GAHT, 98.1% were guideline concordant as they had no documentation of contraindication, including hyperkalemia or acute renal failure. Among veterans starting masculinizing GAHT, 90.1% were guideline concordant due to no documentation of contraindications, such as breast or prostate cancer. Hematocrit had been measured in 91.8% of veterans before initiating masculinizing GAHT, with 96.5% not having an elevated hematocrit (&amp;gt;50%) prior to starting masculinizing GAHT. Among veterans initiating feminizing and masculinizing GAHT, 91.2% had documentation of a gender identity disorder diagnosis prior to GAHT initiation.ConclusionWe observed high concordance between current GAHT initiation practices in VHA and guidelines, particularly for feminizing GAHT. Findings suggest that VHA clinicians are initiating feminizing GAHT in concordance with clinical guidelines. Future work should assess guideline concordance on monitoring and management of GAHT in VHA.

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture

This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for assessing the functional capacity in elderly and postoperative patients. This research uniquely compared the performance of this optimized DLC model, which was trained using ’filtered’ estimates from the widely used OpenPose (OP) model, thereby emphasizing computational effectiveness, motion-tracking precision, and enhanced stability in data capture. Utilizing a combination of smartphone-captured videos and specifically curated datasets, our methodological approach included data preparation, keypoint annotation, and extensive model training, with an emphasis on the flow of the optimized model. The findings demonstrate the superiority of the optimized DLC model in various aspects. It exhibited not only higher computational efficiency, with reduced processing times, but also greater precision and consistency in motion tracking thanks to the stability brought about by the meticulous selection of the OP data. This precision is vital for developing accurate biomechanical models for clinical interventions. Moreover, this study revealed that the optimized DLC maintained higher average confidence levels across datasets, indicating more reliable and accurate detection capabilities compared with standalone OP. The clinical relevance of these findings is profound. The optimized DLC model’s efficiency and enhanced point estimation stability make it an invaluable tool in rehabilitation monitoring and patient assessments, potentially streamlining clinical workflows. This study suggests future research directions, including integrating the optimized DLC model with virtual reality environments for enhanced patient engagement and leveraging its improved data quality for predictive analytics in healthcare. Overall, the optimized DLC model emerged as a transformative tool for biomechanical analysis and physical rehabilitation, promising to enhance the quality of patient care and healthcare delivery efficiency.

The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review.

Artificial intelligence (AI), more specifically large language models (LLMs), holds significant potential in revolutionizing emergency care delivery by optimizing clinical workflows and enhancing the quality of decision-making. Although enthusiasm for integrating LLMs into emergency medicine (EM) is growing, the existing literature is characterized by a disparate collection of individual studies, conceptual analyses, and preliminary implementations. Given these complexities and gaps in understanding, a cohesive framework is needed to comprehend the existing body of knowledge on the application of LLMs in EM. Given the absence of a comprehensive framework for exploring the roles of LLMs in EM, this scoping review aims to systematically map the existing literature on LLMs' potential applications within EM and identify directions for future research. Addressing this gap will allow for informed advancements in the field. Using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) criteria, we searched Ovid MEDLINE, Embase, Web of Science, and Google Scholar for papers published between January 2018 and August 2023 that discussed LLMs' use in EM. We excluded other forms of AI. A total of 1994 unique titles and abstracts were screened, and each full-text paper was independently reviewed by 2 authors. Data were abstracted independently, and 5 authors performed a collaborative quantitative and qualitative synthesis of the data. A total of 43 papers were included. Studies were predominantly from 2022 to 2023 and conducted in the United States and China. We uncovered four major themes: (1) clinical decision-making and support was highlighted as a pivotal area, with LLMs playing a substantial role in enhancing patient care, notably through their application in real-time triage, allowing early recognition of patient urgency; (2) efficiency, workflow, and information management demonstrated the capacity of LLMs to significantly boost operational efficiency, particularly through the automation of patient record synthesis, which could reduce administrative burden and enhance patient-centric care; (3) risks, ethics, and transparency were identified as areas of concern, especially regarding the reliability of LLMs' outputs, and specific studies highlighted the challenges of ensuring unbiased decision-making amidst potentially flawed training data sets, stressing the importance of thorough validation and ethical oversight; and (4) education and communication possibilities included LLMs' capacity to enrich medical training, such as through using simulated patient interactions that enhance communication skills. LLMs have the potential to fundamentally transform EM, enhancing clinical decision-making, optimizing workflows, and improving patient outcomes. This review sets the stage for future advancements by identifying key research areas: prospective validation of LLM applications, establishing standards for responsible use, understanding provider and patient perceptions, and improving physicians' AI literacy. Effective integration of LLMs into EM will require collaborative efforts and thorough evaluation to ensure these technologies can be safely and effectively applied.

Cradling disparities: A descriptive qualitative study of maternal experiences of mothers from low-socioeconomic status in the first month postpartum.

To explore the experiences, expectations and needs of mothers from low-socioeconomic status at 1 month postpartum. Descriptive qualitative. Mothers from low-socioeconomic status and irrespective of their parity were invited to participate in one-to-one interviews at 1 month postpartum. Semi-structured interviews were conducted until data saturation. Interviews were audio recorded, transcribed verbatim and analysed thematically. Written informed consent was obtained. Twenty mothers participated and six themes were identified: (1) No choice but to find meaning; (2) Father as a major pillar of support; (3) 'Kampung' Spirit; (4) Trials and Tribulations of Transition to Motherhood; (5) Shame, guilt and internalized stigma and (6) Reclaiming the power. This study reflected the unique struggles of mothers from low-socioeconomic status with pregnancy, childbirth and early postpartum and the wider health inequities within Singapore's maternal health system. To provide much-needed support and improved care, the stakeholders within government, healthcare providers and social organizations should consider the niche needs of this community. Nurses need to reflect on their own biases and ensure consistent care delivery regardless of socioeconomic status. When delivering patient education, patient-centred and sincere advice rooted in personal experience can help to establish rapport. This study is the first to explore the experiences of mothers from low-socioeconomic status in the Singapore context. Low-socioeconomic status mothers experienced less autonomy over their health, the care they received and their childcare options. As mothers adjusted to their new roles, they struggled to cope. However, as they were wary of the stigma surrounding poverty and their guilt of not being a 'good mother', they preferred to seek informal support from their family, friends and self-help through learning from social media, as compared to formal, external help. COREQ checklist. No patient or public contribution.

Musculoskeletal mimics of lumbosacral radiculopathy.

Electrodiagnostic evaluations are commonly requested for patients with suspected radiculopathy. Understanding lower extremity musculoskeletal conditions is essential for electrodiagnostic medicine specialists, as musculoskeletal disorders often mimic or coexist with radiculopathy. This review delineates radicular pain from other types originating from the lumbosacral spine and describes musculoskeletal conditions frequently mimicking radiculopathy, such as those that cause radiating pain and sensorimotor dysfunction. In clinical evaluation, a history of pain radiating along a specific dermatomal territory with associated sensory disturbance suggests radiculopathy. Physical examination findings consistent with radiculopathy include myotomal weakness, depressed or absent muscle stretch reflexes, focal atrophy along a discrete nerve root territory, and potentially positive dural tension maneuvers like the straight leg raise. However, electrodiagnostic medicine specialists must be knowledgeable of musculoskeletal mimics, which may manifest as incomplete radiation within or beyond a dermatomal territory, non-radiating pain, tenderness, and give-way weakness, in the context of a normal neurological examination. A systematic approach to musculoskeletal examination is vital, and this review focuses on high-yield physical examination maneuvers and diagnostic investigations to differentiate between musculoskeletal conditions and radiculopathy. This approach ensures accurate diagnoses, promotes resource stewardship, enhances patient satisfaction, and optimizes care delivery. Musculoskeletal conditions resembling L1 to S4 radiculopathy are reviewed, emphasizing their distinctive features in history, physical examination, and diagnostic investigation. Among the more than 30 musculoskeletal disorders reviewed are hip and knee osteoarthritis, lumbar facet syndrome, myofascial pain syndrome, greater trochanteric pain syndrome, and plantar fasciitis.

Serving Those Who Served: Enhancing Colorectal Surgery Care for Veterans

AbstractThe Department of Veterans Affairs (VA) is the largest provider of integrated health care services in the United States and its mission is to honor veterans by providing timely, effective, and high-quality health care that improves individuals' health and functionality. The VA provides comprehensive primary and specialty care, including colorectal surgery services, to eligible veterans who suffer from a disproportionately high burden of medical comorbidities and often belong to vulnerable populations, including individuals of low socioeconomic status, those who identify as lesbian, gay, bisexual, transgender, and questioning, racial minorities, and those suffering from severe mental health illness. There are many challenges to caring for a population of veterans with benign and malignant colorectal disease due to both patient and system level factors. Despite these challenges, the VA has demonstrated a commitment to ensuring culturally competent, equitable, and inclusive care and to conducting research that establishes evidence-based best practices in the management of colorectal diseases. These efforts have led to outcomes for patients undergoing care for colorectal diseases within the VA that are par with or better than civilian outcomes. The VA is uniquely positioned on a system level to provide nationwide efforts that improve care delivery and serve those who served.

Kidney Cancer Incidence Among Non-Hispanic American Indian and Alaska Native Populations in the United States, 1999-2020.

Background Non-Hispanic American Indian and Alaska Native (NH-AI/AN) people experience a disproportionate incidence of kidney cancer. Nationally aggregated data does not allow for a comprehensive description of regional disparities in kidney cancer incidence among NH-AI/AN communities. This study describes kidney cancer incidence rates and trends among NH-AI/AN compared to non-Hispanic White (NHW) populations by geographic region. Methods Using the United States Cancer Statistics American Indian and Alaska Native (AI/AN) Incidence Analytic Database, we calculated age-adjusted incidence rates (per 100,000) of kidney cancers for NH-AI/AN and NHW people for the years 2011-2020 combined using SEER*stat software. Analyses were restricted to non-Hispanic persons living in purchased/referred care delivery area (PRCDA) counties. Average annual percent changes (AAPCs) and trends (1999-2019) were estimated using Joinpoint regression analyses. Results Rates of kidney cancer incidence were higher among NH-AI/AN compared to NHW persons in the U.S. overall and in 5 of 6 regions. Kidney cancer incidence rates also varied by region, sex, age, and stage of diagnosis. Between 1999 and 2019, trends in rates of kidney cancer significantly increased among NH-AI/AN males (AAPC = 2.7%) and females (AAPC = 2.4%). The largest increases in incidence were observed for NH-AI/AN males and females under age 50 and those diagnosed with localized stage disease. Conclusions Study findings highlight growing disparities in kidney cancer incidence rates between NH-AI/AN and NHW populations. Impact: Differences in geographic region, sex, and stage highlight opportunities to decrease prevalence of kidney cancer risk factors and improve access to preventive care.

Introducing a digital emergency obstetric and newborn care register for indoor obstetric patient management: An implementation research in selected public health care facilities of Bangladesh.

Digital health records have emerged as vital tools for improving health care delivery and patient data management. Acknowledging the gaps in data recording by a paper-based register, the emergency obstetric and newborn care (EmONC) register used in the labour ward was digitised. In this study, we aimed to assess the implementation outcome of the digital register in selected public health care facilities in Bangladesh. Extensive collaboration with stakeholders facilitated the development of an android-based electronic register from the paper-based register in the labour rooms of the selected district and sub-district level public health facilities of Bangladesh. We conducted a study to assess the implementation outcome of introducing the digital EmONC register in the labour ward. The digital register demonstrated high usability with a score of 83.7 according to the system usability scale, and health care providers found it highly acceptable, with an average score exceeding 95% using the technology acceptance model. The adoption rate reached an impressive 98% (95% confidence interval (CI) = 98-99), and fidelity stood at 90% (95% CI = 88-91) in the digital register, encompassing more than 80% of data elements. Notably, fidelity increased significantly over the implementation period of six months. The digital system proved a high utility rate of 89% (95% CI = 88-91), and all outcome variables exceeded the predefined benchmark. The implementation outcome assessment underscores the potential of the digital register to enhance maternal and newborn health care in Bangladesh. Its user-friendliness, improved data completeness, and high adoption rates indicate its capacity to streamline health care data management and improve the quality of care.

The role of perceived quality of care on outpatient visits to health centers in two rural districts of northeast Ethiopia: a community-based, cross-sectional study

BackgroundPatients who have had a negative experience with the health care delivery bypass primary healthcare facilities and instead seek care in hospitals. There is a dearth of evidence on the role of users’ perceptions of the quality of care on outpatient visits to primary care facilities. This study aimed to examine the relationship between perceived quality of care and the number of outpatient visits to nearby health centers.MethodsA community-based cross-sectional study was conducted in two rural districts of northeast Ethiopia among 1081 randomly selected rural households that had visited the outpatient units of a nearby health center at least once in the previous 12 months. Data were collected using an interviewer-administered questionnaire via an electronic data collection platform. A multivariable analysis was performed using zero-truncated negative binomial regression model to determine the association between variables. The degree of association was assessed using the incidence rate ratio, and statistical significance was determined at a 95% confidence interval.ResultsA typical household makes roughly four outpatient visits to a nearby health center, with an annual per capita visit of 0.99. The mean perceived quality of care was 6.28 on a scale of 0–10 (SD = 1.05). The multivariable analysis revealed that perceived quality of care is strongly associated with the number of outpatient visits (IRR = 1.257; 95% CI: 1.094 to 1.374). In particular, a significant association was found for the dimensions of provider communication (IRR = 1.052; 95% CI: 1.012, 1.095), information provision (IRR = 1.088; 95% CI: 1.058, 1.120), and access to care (IRR = 1.058, 95% CI: 1.026, 1.091).ConclusionsService users’ perceptions of the quality of care promote outpatient visits to primary healthcare facilities. Effective provider communication, information provision, and access to care quality dimensions are especially important in this regard. Concerted efforts are required to improve the quality of care that relies on service users’ perceptions, with a special emphasis on improving health care providers’ communication skills and removing facility-level access barriers.

Is Collaborative Care the Future of Medicine? Lessons Learned from the Care of Children with Colorectal Conditions

The treatment of patients with colorectal disorders requires care from a wide variety of medical and surgical specialties over the course of their lifetime. This is ideally handled by a collaborative center which facilitates the assessment and development of patient care among multiple specialties which can enhance the quality and implementation of treatment plans, improve communication among different specialties, decrease morbidity, and improve patient satisfaction and outcomes. This collaborative approach can serve as a model for other parts of medicine requiring a similar multi-disciplinary and integrated method of care delivery. We describe the process, as well as the lessons learned in developing such a program.

Machine learning with electrocardiograms to optimize mortality risk stratification in patients with suspected acute coronary syndrome

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Heart, Lung, and Blood Institute (NHLBI) and National Center for Advancing Translational Sciences (NCATS). Background The importance of risk stratification in patients with suspected acute coronary syndrome (ACS) extends beyond diagnosis and immediate treatment. It influences the precision of care delivery and the allocation of resources to those at highest risk of adverse events. Purpose We sought to evaluate the prognostic value of electrocardiogram (ECG) feature-based machine learning models to risk-stratify long-term mortality in those with suspected ACS. Methods This was a multicenter prospective observational cohort study of consecutive, non-traumatic patients evaluated at the emergency department for suspected ACS. The derivation cohort included 4,015 patients from a University Medical Center (age 59±16 years, 47% women, 80% training with 10-fold cross-validation and 20% testing). Ascertainment of all-cause death was based on numerous data sources, including the Centers for Disease Control and Prevention’s National Death Index registry. We trained six machine learning methods for survival analysis using 73 morphological ECG features from presenting prehospital 10-second 12-lead ECGs. We used predicted risk scores in a variational Bayesian Gaussian mixture model to define three risk groups corresponding to low, moderate, and high-risk and compared the resulting classification performance against the HEART score. The external testing cohort included 3,095 patients from a University (age 59±15 years, 44% women). Results The mortality rate was 20.3% in the derivation cohort after an average follow-up period of 3.53 years (IQR 1.75 - 5.32). Extra Survival Trees outperformed other forecasting models during cross-validation. In the internal testing cohort, the derived risk groups were significantly predictive of survival (Kaplan-Meier log-rank test statistic = 121.14, p&amp;lt;0.001), outperforming the classification performance using the HEART score (Figure 1). Our machine learning-based risk stratification model detected &amp;gt;90% of death events missed by low-risk HEART score (Figure 2). Ruling-out the low-risk group, it achieved a negative predictive value of 93.4% with a sensitivity of 85.9% (compared to 89.0% and 75.0%, respectively, for the HEART score). This classification performance generalized well to our external testing cohort. Compared to those in the low-risk group, patients at moderate (OR = 3.62 [1.35-9.74]) and high (OR = 6.12 [2.38-15.75]) risk had significantly higher odds of 30-day cardiovascular death (n=109, 3.5%). Conclusions Using only features from the 10-second 12-lead ECG, we derived and externally validated a machine learning model that stratifies the mortality risk of patients during long-term follow up. This model outperformed current standard of care based on the HEART score. Future work should validate the potential of this decision-support tool in influencing treatment plans and resource allocation.Figure 1.Clustering performanceFigure 2.Sankey diagram

Exploring unmet needs and preferences of young adult stroke patients for post-stroke care through PROMs and gender differences

BackgroundStroke incidence among young adults of working age (under 65 years of age) has significantly increased in the past decade, with major individual, social, and economic implications. There is a paucity of research exploring the needs of this patient population. This study assessed: (1) young adult stroke patients' physical, psychological, and occupational functioning and health-related quality of life (HRQoL); and (2) post-stroke care preferences using patient-reported outcome measures (PROMs), with attention to gender differences.MethodsA cross-sectional pilot study was conducted. Sociodemographic and clinical characteristics were collected through chart review and data on occupational function, physical, psychological, and social wellbeing &amp;gt;90 days post-stroke through a self-reported survey. Descriptive statistics, gender-based, and regression analyses were conducted.ResultsThe sample included 85 participants. Participants reported impairments in both, occupational functioning, with 58.7% not returned to work (RTW), and HRQoL, specifically with social activities (37%), anxiety (34%), and cognitive function (34%). Women had significantly (p &amp;lt; 0.05) worse physical symptoms (sleep disturbance and fatigue), emotional health (depression, stigma, emotional dyscontrol) scores, and sense of self-identify post-stroke. Over 70% of participants preferred in-person post-stroke care led by health care providers and felt they would have benefited from receiving information on physical health (71.4%), emotional and psychological health (56.0%), RTW (38.1%), and self-identity (26.2%) post-stroke. Women preferred cognitive behavioral therapy (p = 0.018) and mindfulness-based stress reduction therapy (p = 0.016), while men preferred pharmacotherapy (p = 0.02) for psychological symptoms.ConclusionThis is the first study to report impaired HRQoL, psychological and occupational functioning using PROMs, with significant gender differences and preferences for post-stroke care delivery among young adult stroke patients at &amp;gt;90 days after stroke. The findings highlight the importance of needs, gender, and age-specific post-stroke education and interventions.

Leaders’ experiences of successfully implementing health and welfare technology in sparsely populated Nordic areas

Purpose This study examines the effective implementation of health and welfare technology (HWT) in sparsely populated Nordic regions within healthcare and social care settings. Materials and methods Through re-analysing 12 semi-structured interviews conducted in 2020 across three successfully implementing Nordic regions, the research utilised inductive thematic analysis with a reflexive approach to uncover key experiences. Results It identifies five critical success factors: Positive attitudes towards and understanding of digital transformation, Consensus on changing care delivery through HWT, Leadership and organisational readiness for change, Effective feedback mechanisms, and Trust and engagement in the learning process. Highlighting the significance of positive mindsets, leadership, collaboration, and adaptability, the findings underscore the theoretical underpinnings of Weiner’s organisational readiness for change and Bronfenbrenner’s ecological system theory for planning and understanding HWT implementation. Addressing challenges of adapting to HWT necessitates a comprehensive approach, including tailored training, robust support systems, strategic user engagement, feedback integration, and fostering open communication, ultimately ensuring technology serves the user’s needs effectively. Conclusion In conclusion, successful HWT adoption in these areas hinges on fostering a culture of learning, strong leadership, and collaborative efforts. It suggests further research with a larger cohort to validate these insights, offering vital considerations for organisations navigating digital transformation in healthcare and social services.

Social Safety for Black Women in Perinatal Health Care: A Concept Analysis

IntroductionNon‐Hispanic Black women and their infants experience the worst pregnancy‐related outcomes in the United States. Social safety is a health‐relevant resource found in environments communicating safety, connectedness, inclusion, and protection. Approaches promoting social safety may be particularly relevant to preventing adverse perinatal health outcomes among Black women. However, there remains a lack of conceptual clarity. The purpose of this concept analysis was to provide a theoretical clarification of the concept social safety for Black women within perinatal health care.MethodsPubMed, PsycINFO, and CINAHL were searched using Boolean search strategy. Retrieved articles were managed in Zotero. Duplicates were removed, and each article was assessed and categorized by both investigators. Articles reporting Black women's perinatal health care experiences were included. Thematic analysis guided by Rodgers’ evolutionary method identified defining attributes, antecedents, and consequences of social safety in perinatal care for Black women.ResultsSocial safety for Black women is defined as the process of feeling understood, respected, cared for, and in control in perinatal health care settings that make space, care for, and recognize strengths, thereby cultivating safety and empowerment.DiscussionSocial safety offers actionable insights for practice and research that have the potential to drive positive change in perinatal care delivery for Black women. Developing interventions and measurements that are valid, reliable, and reflect social safety are essential to promote positive experiences and equity in health care practices and policies.

Top Ten Tips Palliative Care Clinicians Should Know About the Physical Manifestations of Psychiatric Illness and Treatment.

Addressing the psychiatric aspects of serious illness in palliative care (PC) is crucial to both care delivery and outcomes. Psychiatric comorbidities are common among patients with PC needs and can significantly impact their total burden of symptomatic distress, overall quality of life, functional independence, and healthcare utilization. Yet, these aspects of care are often deferred to mental health consultant teams in the context of busy PC services and often limited human resources. To provide comprehensive and person-centered care, PC clinicians must understand the interplay between medical conditions and psychiatric presentations within a biopsychosocial framework to respond empathically, efficiently, and effectively. This article is the first of a two-part series developed in collaboration with a group of psychiatric-palliative care specialists. This article explores ten common physical manifestations of psychiatric illness and treatment among patients facing serious illnesses. The second article will provide pragmatic tips PC clinicians should know about the psychiatric manifestations of nonpsychiatric serious illness and treatment. Combined, these two articles support a holistic approach that PC clinicians can use to prioritize and integrate both mental and emotional well-being throughout the continuum of serious illness.

Enhancing healthcare access for an older population: The age-friendly emergency department.

Healthcare systems face significant challenges in meeting the unique needs of older adults, particularly in the acute setting. Age-friendly healthcare is a comprehensive approach using the 4Ms framework-what matters, medications, mentation, and mobility-to ensure that healthcare settings are responsive to the needs of older patients. The Age-Friendly Emergency Department (AFED) is a crucial component of a holistic age-friendly health system. Our objective is to provide an overview of the AFED model, its core principles, and the benefits to older adults and healthcare clinicians. The AFED optimizes the delivery of emergency care by integrating age-specific considerations into various aspects of (1) ED physical infrastructure, (2) clinical care policies, and (3) care transitions. Physical infrastructure incorporates environmental modifications to enhance patient safety, including adequate lighting, nonslip flooring, and devices for sensory and ambulatory impairment. Clinical care policies address the physiological, cognitive, and psychosocial needs of older adults while preserving focus on emergency issues. Care transitions include communication and involving community partners and case management services. The AFED prioritizes collaboration between interdisciplinary team members (ED clinicians, geriatric specialists, nurses, physical/occupational therapists, and social workers). By adopting an age-friendly approach, EDs have the potential to improve patient-centered outcomes, reduce adverse events and hospitalizations, and enhance functional recovery. Moreover, healthcare clinicians benefit from the AFED model through increased satisfaction, multidisciplinary support, and enhanced training in geriatric care. Policymakers, healthcare administrators, and clinicians must collaborate to standardize guidelines, address barriers to AFEDs, and promote the adoption of age-friendly practices in the ED.