Financial Burden Research Articles

The staff perspectives of facilitators and barriers to implementing virtual reality for people living with dementia in long-term care

IntroductionOne emerging technology in long-term care (LTC) is virtual reality (VR), an innovative tool that uses head-mounted devices to provide the viewer with an immersive experience. It has been shown that VR has a positive impact on the well-being of residents living with dementia, and staff are essential in the implementation and sustainable use of technology. Currently, there is a lack of inclusion and focus on direct staff perspectives on VR implementation in LTC. This paper aims to report staff perspectives on VR adoption in a 2-year study on a virtual reality program at three Canadian LTC homes.MethodsOur interdisciplinary team (clinicians, people living with dementia and family partners, trainees, and researchers) explored the facilitators and barriers to implementing VR in LTC, guided by the Consolidated Framework for Implementation Research (CFIR) and intersectionality supplemented CFIR. Twenty-one participants were recruited, including recreation staff, care aides, nurses, screeners, and leadership team members. The team collected data through staff interviews, focus groups, and ethnographic observation field notes. Reflexive thematic analysis was performed to identify themes reporting the facilitators and barriers for VR implementation in LTC from staff perspectives.ResultsThe data analysis resulted in three facilitators and four barriers. Facilitators are (1) perceived VR benefits, (2) integrate VR into workflow and routines, and (3) partner with skillful VR champions. Barriers include (1) staff concerns about VR use, (2) financial burden and competing priorities, (3) lack of infrastructure and physical spaces, and (4) staff workload and limited leadership support.DiscussionThis study contributes to the field with staff perspectives on facilitators and barriers to VR implementation. It underscores the rarely discussed aspects of VR implementation, such as funding prioritization and implementation timing. We offer practical strategies to inform future practices and research. Future studies should further explore long-term VR implementation, the involvement of family members as VR facilitators, and the use of VR in LTC.

Financial implications of unpaid clinical placements for allied health, dentistry, medical, and nursing students in Australia: a scoping review with recommendations for policy, research, and practice.

Investing in allied health, dentistry, medical, and nursing undergraduate and postgraduate qualifying education is critical to meet a growing demand on global health care systems. Clinical placements are an integral component of qualifying training and are conventionally unpaid. Widespread economic challenges, attributed to a post-COVID-19 pandemic recovery era and global unrest, have led to growing economic hardship for populations, even in high-income countries like Australia. Allied health, dentistry, medical, and nursing undergraduate and postgraduate students undertaking unpaid clinical placements are not immune from these stressors, which has implications for education providers, ageing populations, the future health care system, and policy-makers. The purpose of this review was to better understand these stressors by scoping the financial implications of unpaid clinical placements for allied health, dentistry, medical, and nursing students in Australian research. The Joanna Briggs Institute's scoping review methodology was used. This involved a search of academic databases and an extensive search of grey literature sources. Literature published from 1 January 2014 was included. Citations were independently screened by two reviewers. Thirty-three research studies were included. Most studies focused on allied health students (n = 12), followed by nursing (n = 11), and medical students (n = 5), with an additional five studies focused on multiple disciplines, including dentistry. One study had an interventional component. Findings were grouped around four concepts: reliance on self-reported measures of financial implications, costs of unpaid clinical placements for students, implications of costs for students, and an urgent need for targeted strategies to redress. The financial implications of unpaid clinical placements for allied health, dentistry, medical, and nursing students in Australia are well-established in research. Impacts are significant for the future of Australia's health workforce and health system. Research findings have been consistent over the past decade in advocating for greater financial support for students undertaking unpaid clinical placements and flexibility of placement models to mitigate the indirect costs of placements. Collaboration between state and federal government, universities, peak professional bodies, and placement host organisations is imperative to implement a suite of strategies to redress the financial burden experienced by students and secure the future of Australia's health workforce.

Prior Musculoskeletal Injury and Components of Physical Fitness in Military Personnel: A Systematic Review with Meta-analysis.

Military personnel confront heightened risks of musculoskeletal injuries (MSIs) because of the demanding nature of their duties, contributing to restricted active duty and financial burdens. Although preventable factors like training and physical fitness influence some injuries, understanding the enduring effects of previous MSIs on physical fitness in military personnel remains a critical gap. This study aimed to systematically review and meta-analyze this impact. In accordance with PRISMA guidelines, a systematic review with meta-analysis was conducted, focusing on military personnel with and without a history of MSIs. Physical fitness components were assessed via observational studies, with isokinetic peak torque values as primary metrics. Quality assessments utilized the NIH Quality Assessment Tool and GRADE framework. Out of 36 papers, 6 met inclusion criteria, with 4 included in the meta-analysis. Across 1,267 participants, individuals with prior MSIs exhibited a significant reduction in the pooled effect size for isokinetic peak muscle force, with d+ = -0.25 (95% CI: -0.36 to -0.13), notably affecting knee and shoulder regions. These findings underscore the pervasive impact of MSIs on military personnel's physical performance, necessitating targeted interventions. Military personnel with prior MSIs exhibit enduring deficits in isokinetic peak muscle force, particularly in knee and shoulder regions. However, evidence on the impact of previous injuries on other physical fitness components remains limited. Further research is crucial to understanding the multifaceted impact of MSIs on diverse aspects of physical performance, informing comprehensive injury prevention strategies and optimizing performance outcomes among military personnel.

Resilient supply chain operations following major disturbances: lessons from COVID-19 cases

Resilience has become a major concern to the global supply chain after the COVID-19 pandemic. Although the pandemic is hopefully tailing off, this study remains essential for future preparedness against major disruptions in global supply chain operations. This paper extends the Public-Health Corridors (PHC) concept from international travel coordination to global supply chain operations, with the underlying goals of reopening borders and alleviating social and financial burdens. Very little has been learnt from and very few guidelines are provided for developing PHC that recovers supply chain operations. This research fills this research gap by providing the architecture of PHC. Game-theoretical models with a strategic government-private-public-partnerships (G3P) mechanism are proposed to demonstrate how effective PHC can establish a new norm for social and economic activities under COVID-19 with minimal additional burdens. It offers theoretical evidence for possible approaches that facilitate effective stakeholder collaboration in launching PHC. Findings show that the implementation of basic PHC can resume supply chain operations through appropriate PHC measures and investments, while a well-designed G3P mechanism significantly bridges the gap between new norms and pre-pandemic conditions. A targeted subsidy programme is crucial for profitability, and well-crafted contracts are essential for achieving Pareto improvement and reducing required subsidies.

Predicting stroke severity of patients using interpretable machine learning algorithms.

Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke severity is crucial for predicting clinical outcomes, with standard assessment tools being the Rapid Arterial Occlusion Evaluation (RACE) and the National Institutes of Health Stroke Scale (NIHSS). This study aims to utilize Machine Learning (ML) algorithms to predict stroke severity using these two distinct scales. We conducted this study using two datasets collected from hospitals in Urmia, Iran, corresponding to stroke severity assessments based on RACE and NIHSS. Seven ML algorithms were applied, including K-Nearest Neighbor (KNN), Decision Tree (DT), Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and Artificial Neural Network (ANN). Hyperparameter tuning was performed using grid search to optimize model performance, and SHapley Additive Explanations (SHAP) were used to interpret the contribution of individual features. Among the models, the RF achieved the highest performance, with accuracies of 92.68% for the RACE dataset and 91.19% for the NIHSS dataset. The Area Under the Curve (AUC) was 92.02% and 97.86% for the RACE and NIHSS datasets, respectively. The SHAP analysis identified triglyceride levels, length of hospital stay, and age as critical predictors of stroke severity. This study is the first to apply ML models to the RACE and NIHSS scales for predicting stroke severity. The use of SHAP enhances the interpretability of the models, increasing clinicians' trust in these ML algorithms. The best-performing ML model can be a valuable tool for assisting medical professionals in predicting stroke severity in clinical settings.

BN SO02 - Cholecystectomy HRG Coding Audit

Abstract Background Incorrect coding practices for elective surgical procedures carry significant financial implications at Trust level. In this project, we aimed to audit the current coding practices pertaining to laparoscopic cholecystectomies performed within the NHS WWL Foundation Trust during November 2021-October 2022 and calculate the financial burden resulting from this. Method A list of 194 patients undergoing a cholecystectomy and their allocated HRG coding at time of discharge was compiled by the coding department. A comorbidity and complication index (CCI) for each of these patients was calculated using the operation note together with hospital and GP records. With this information, the correct HRG coding for each patient was calculated and compared to their allocated coding at discharge to calculate the difference in tariffs generated. Results 69.23% of 194 procedures carried out during the reported time period were coded incorrectly. This amounted to a financial burden of £72,232 lost in potential tariffs, equating to £372.33 per cholecystectomy performed. Commonest CCI of 3 in 29% of patients with corresponding HRG code GA10J Commonest incorrectly allocated coding GA10K denotes a presumed CCI of 0 Conclusion High percentage of incorrectly coded procedures with significant financial implications at Trust level Currenty coding practice often incorrectly presumes a CCI index of 0 with subsequent incorrect GA10K coding. However, the appropriate coding for the vast majority of patients undergoing a laparoscopic cholecystectomy was GA10J. Education and awareness is underway to make improvements at a Trust level before re-auditing of data can commence.

Caregiving Intensity, Duration, and Subjective Financial Well-Being Among Rural Informal Caregivers of Older Adults with Chronic Illnesses or Disabilities

Introduction: Rural informal caregivers (IC) experience major financial and economic constraints in caring for their older family members. Rurality combined with increased caregiving demands and intensity, poor economic opportunities, and limited financial resources and policies create multiple financial stressors and can lead to poor financial well-being. A cross-sectional survey was conducted to understand how caregiving demands, intensity, and duration impact the subjective financial well-being of rural caregivers of older adults. Methods: Informal caregivers (N = 196) residing in 12 rural counties in the central North Region of the Midwestern US participated in the survey. Ordinary Least Squares and Linear Probability Model regressions were conducted to measure the association among the study variables. Results: Our findings showed a moderate level of subjective financial well-being among informal caregivers (average = 51.62; SD 14.52). Caregiving intensity negatively affected financial well-being (β = −1.470, p < 0.05). More than half of informal caregivers (58%) were not satisfied with their household income, and 30% found it difficult to meet their family’s needs with their current income status. Discussion and Conclusions: Longer hours of care are associated with financial burden and insecurity and can significantly influence the financial health and well-being of rural informal caregivers of older adults. Older caregivers were found to manage their financial constraints more effectively. Future comparative and longitudinal studies with a more diverse sample are required to infer long-term interactions among the different variables in this study.

Reducing Surgical Site Infections in Neurosurgery During the Intra-operative Phase: An Audit of National Institute for Health and Care Excellence (NICE) Guideline Adherence at a Major Trauma Centre.

Surgical site infections (SSIs) pose significant risks to patient safety and healthcare systems globally despite preventive measures. This study audits compliance with the National Institute for Health and Care Excellence (NICE) guidelines for SSI prevention during the intra-operative phase in the Neurosurgery Department at Salford Royal National Health Service (NHS) Foundation Trust. Conducted in two audit cycles from October 2022 to October 2023, the study assessed adherence to 19 key parameters aimed at minimising SSIs. Significant improvements were observed in various areas, including antibiotic prophylaxis information (from 44% to 90%) and bodywash compliance (from 14% to 80%). Compliance with skin preparation protocols also showed marked progress, with antiseptic application time improving from 12% to 80%. However, areas such as double gloving (increased from 36% to 44%) and the use of antimicrobial sutures (from 2% to 30%) indicate opportunities for further enhancement. The findings underscore the effectiveness of targeted interventions and the importance of continuous education and evaluation of surgical practices to reduce SSIs, ultimately improving patient outcomes and alleviating financial burdens on the NHS. Future audits are recommended to ensure sustained compliance and quality of care in Neurosurgery.

AHP SO04 - ''Effectiveness of a surgical wound care bundle for reducing surgical site infection after emergency abdominal surgery''

Abstract Background Surgical site infection (SSI) imposes a considerable financial burden to both hospital and patient by increasing the hospital stay, utilization of resources and readmission rates. This study compared the effectiveness of surgical wound care bundle concept with traditional ongoing wound care for reduction of SSI after emergency abdominal surgery. Method This cross-sectional analytical study was carried out with a total of 120 patients who underwent emergency abdominal surgery were included after taking informed written consent and divided into two groups: Group-A (n=60, surgical wound care bundle) and Group-B (n=60, traditional ongoing care). A detailed history and thorough clinical examination were carried out in each patient. Data were collected in separated case-record form and analyzed by SPSS 24. Results Mean age of Group A and Group B was 44.88 ±11.2 years and 44.82±13.3 years accordingly (p=0.391) with male majority in both groups (70% in Group-A and 80% in Group-B, p<0.292). Both groups were statistically similar regarding comorbidities, baseline laboratory parameters and pre-operative diagnosis (p>0.05).Group-B patients had higher frequency of SSI development compared to Group-A(43.3% vs. 15%, p-0.001). Besides, patients having traditional ongoing care had longer hospital duration than surgical wound care bundle (10.1±2.7 vs. 6.9±1.9 days, p<0.01). Though not significant, 30-day readmission rate was also higher in Group-B than Group-A (16.7% vs. 5%, p=0.075). Conclusion Surgical wound care bundle reduce surgical site infections in patients with emergency surgery. However, further multicenter studies are warranted.

BS SO07 - NHS Tertiary Centre Experience with Bariatric Tourism; A Call for National Registry

Abstract Background Bariatric surgery has demonstrated notable efficacy and is becoming an increasingly popular practice. Nonetheless, patients often opt for bariatric tourism due to the unaffordability of bariatric procedures or the lengthy waiting lists. The postoperative care for such patients not only imposes financial burdens on a different health system, necessitating costly interventions for complex cases but also affects the allocation of resources for patients receiving care in the public health services. A national guidance platform and registry are required to measure the impact of bariatric tourism on the modern NHS and plan future resource allocation. Method This is a retrospective review of patients referred to one of the bariatric units in the United Kingdom for complications following bariatric procedures abroad. Patient demographics, bariatric intervention, presenting complications, length of hospital stay and management received were recorded. Results Between 2022 and 2024, our unit admitted nine patients. Eight had sleeve gastrectomy in Turkey, and one had a gastric balloon in Thailand. In the sleeve group, five patients had intractable vomiting, one had small bowel ischemia, one leaked, and one had reactive hypoglycemia. The patient with the gastric balloon had vomiting and abdominal pain, leading to balloon removal. Three sleeve patients had a conversion to Roux-en-Y bypass, one is under investigation, and one is awaiting bypass surgery, one required three surgeries for small bowel ischemia, and one with a leak was treated with a pigtail and gastric stent. Conclusion Medical tourism for bariatric procedures is an appealing option for obese patients due to its affordability and shorter wait times. Patients typically receive brief pre-operative preparation and education in addition to a limited post-operative care. However, managing complex bariatric cases is expensive, necessitates extended hospital stays and nutritional and emotional support, and can only be done in specialised centres. It's important to create a national bariatric surgery guidance platform providing recognised centre details internationally and a national registry of bariatric tourism patients to assess the impact on the healthcare system and to plan for future resource allocation.

Abstract A061: A cost-effective two-step approach for multi-cancer early detection in general population

Abstract In population-wide cancer screening, three key issues need to be focused on: number of cancer cases identified, the issue of false positives, and cost. A high false positive rate can result in a significant waste of healthcare resources. Large-scale screening inevitably leads to significant financial burdens on the healthcare system which is a key factor constraining nationwide screening. OncoSeek is a multi-cancer early detection (MCED) test using a panel of seven plasma protein tumor markers (PTMs) and artificial intelligence (AI). SeekInCare is a MCED test that integrates the seven PTMs and four cancer genomic features (aneuploidy, fragment size, end motifs, and oncogenic viruses) from cell-free DNA (cfDNA) by shallow whole-genome sequencing (sWGS). In a two-step approach, the initial screening is conducted using OncoSeek and SeekInCare is then used as the secondary test for those individuals who tested positive by OncoSeek. In a case-control study (n = 1197) including both OncoSeek and SeekInCare testing results, OncoSeek showed 49.9% sensitivity at 91.0% specificity, while SeekInCare demonstrated 60.0% sensitivity at 98.3% specificity. In the two-step process, specificity significantly increased from 91.0% to 99.3%, while sensitivity decreased from 49.9% to 39.9%. We modeled a screening in five million adults aged ≥ 50 years with a cancer incidence rate of 1.9%. The simulated real-world sensitivities of OncoSeek and two-step were adjusted downward proportionally to 28.0% and 22.4% based on the sensitivity differences observed between GRAIL’s CCGA study (case-control, 51.5%) and PATHFINDER study (prospective, 28.9%). While at 91.0% specificity OncoSeek had 441,450 cases of false positives, using the two-step approach significantly reduced false positives to 34,335 (0.7%). Although Galleri ($949 per test) identified more cancer cases than the two-step MCED, with 27,455 and 21,280 cases respectively, its total cost for the former reached $4,745 million. As the positive predictive value (PPV) of two-step (38.3%) was the same as Galleri (38.3%), it reduced cost 6.6-fold, amounting to a total cost of $713.6 million and a cost of $143 per individual screened. The cost of per cancer case detected using Galleri is $172,828 compared to $33,534 using the two-step MCED, which represents a 5.2-fold difference. In conclusion, the two-step approach not only significantly reduces false positives, but also cuts the screening cost down substantially, making it a cost-effective strategy for population-wide cancer screening. Citation Format: Mao Mao, Geng shuai peng, Li shi yong, Wu Wei, Chang Yin Yin. A cost-effective two-step approach for multi-cancer early detection in general population [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A061.

Knowledge and perception of older adults toward end of life and advanced directive in Nigeria.

Older adults often have a heightened awareness of death due to personal losses. In many low- and middle-income countries, including Nigeria, conversation about end-of-life issues and advanced care planning (ACP) among older adults is gradually emerging. Our study explored older adults' knowledge and perceptions towards advanced directives and end-of-life issues in a geriatric care setting in Nigeria. A cross-sectional study was conducted among older adults (aged ≥60 years) in a geriatric outpatient clinic. Data were collected using an interviewer-administered, semi-structured questionnaire, tested at a significance level set at alpha 0.05. The study included 204 participants with a mean age of 71.3 ± 7.2 years, predominantly female (67.2%). Few of the participants have heard about end of life (20.1%), living will (19.1%), power of attorney (19.6%), and ACP (25.9%). About 29.9% of the respondents considered having a living will, of which about 34.4% have written one. Only 23 (11.3%) would consider discussing ACP in the future, 32 (15.7%) would discuss place of care, and 30 (14.7%) place of death. Preparedness for end of life and knowledge of ACP was higher among males, those with formal education, and those with good self-rated health (p < 0.05). The study highlighted gap in awareness and engagement in ACP among older adults in a country like Nigeria. This lack of knowledge can lead to inadequate end-of-life care and unpreparedness for critical health decisions for older adults in Africa. Thus, improving awareness and understanding of ACP can empower older adults, ensuring their end-of-life preferences are respected, enhancing the quality of care, and reducing the emotional and financial burden on families.

Using School-Based Teleconsultation Services to Make Community Health Services Accessible in Semirural Settings of Pakistan: Sequential Explanatory Mixed Methods Study.

In Pakistan's remote areas, quality health care and experienced professionals are scarce. Telehealth can bridge this gap by offering innovative services like teleconsultations. Schools can serve as effective platforms for introducing these services, significantly improving health service access in semirural communities. This study aims to explore the feasibility of introducing school-based teleconsultation services (TCS) to strengthen community health in a semirural area of Karachi, Pakistan. This study used a mixed methods design. A total of 393 students were enrolled for the quantitative component, while 35 parents, teachers, and community stakeholders participated in the qualitative arm (focused group discussion). Proportional computation for the quantitative data was done using SPSS (version 24; IBM Corp), while qualitative data underwent thematic analysis. A total of 1046 successful teleconsultations were provided for 393 students over 28 months. The demographic data showed that the mean age of the students availing TCS was 9.24 (SD 3.25) years, with the majority being males (59.3%, 233/393). Only 1.24% (13/1046) of cases required referrals. The qualitative analysis yielded three themes: (1) transformation of the health care experience, (2) escalating demands for teleconsultation, and (3) the psychological aspect of care. This study demonstrated the efficacy of integrating TCS in a semiurban school in Karachi to address health care accessibility gaps. Implementing TCS through the school platform improved the overall health status of school children while reducing school absences and financial burdens on families. The study highlighted TCS's cost-effectiveness, time efficiency, and quality, with community support for 24/7 availability, expansion to adults, and a reimbursement model. School health nurse-led TCS offers a scalable solution to health care challenges, enhancing health outcomes for school-going children in Pakistan and globally, particularly in low- and middle-income countries, where accessibility is a major issue.

Assessment of Transcription Errors and their Effects on Medical Approach, Hospitalization Duration, and Financial Costs of Traumatic Patients: How Can We Prevent Them?

Background and aims: Transcription errors pose significant risks to patient well-being, potentially leading to morbidity, mortality, and financial burdens on healthcare systems and society. This study assessed the prevalence of transcription errors and their impacts on medical treatment approaches, hospitalization duration, and associated costs. Methods: Direct observation was used to evaluate and compare all patients’ medical records, identifying errors, costs, and hospitalization duration. Physician orders and patient applications were checked, with intervention and control groups categorized based on the presence or absence of errors, respectively. Data were analyzed using descriptive and quantitative methods such as the chi-square, student’s t-test, Mann-Whitney test, and ANCOVA, to assess statistical significance. Results: No significant differences were observed in gender (P=0.73) and age (P=0.89) between patients. Omission errors and incorrect dosage forms were the most common. Errors were more frequent in patients with underlying diseases (P&lt;0.001), with nurses frequently involved (P&lt;0.001). Errors were more prevalent in intensive care units (ICUs) (P=0.002) and during morning and night shifts (P&lt;0.001). A significant association was found between trauma severity and medication error occurrence (P&lt;0.001). Moreover, patients with transcription errors had higher medical expenses and extended hospital stays (P&lt;0.001). Conclusion: Effective preventive measures are crucial to avoid transcription errors and their adverse consequences. Recommendations include minimizing abbreviations, ensuring complete and explicit orders, rigorous training, double-checking, using technology such as Electronic Prescription and Physician Orders, maintaining a distraction-free, ergonomic work environment, and fostering open communication among healthcare providers and patients to enhance medication safety.

Emerging technologies for the management of diabetic foot ulceration: a review

Diabetic foot ulcers (DFUs) and infections are common complications that frequently result in reduced quality of life and even morbidity for patients with diabetes. This paper highlights significant findings in DFU treatments and emerging advanced technologies for monitoring ulceration in patients with diabetes. The management of DFUs requires a multidisciplinary approach that involves patient education. It is well-established that poor glycemic control significantly contributes to diabetic foot ulcer complications, presenting global challenges in quality of life, economics, and resource allocation, affecting approximately half a billion people and potentially leading to lower limb amputation or mortality. Therefore, effective DFU management necessitates a multidisciplinary approach that includes patient education. However, current clinical guidelines for DFU treatment are not performing effectively, resulting in unnecessary increases in financial and emotional burden on patients. Researchers have experimented with advanced technologies and methods, including traditional approaches, to address complications related to DFU healing. This paper also presents the evolution of patents in the field of DFU medication and advanced diagnostic methods, showcasing relevant innovations that may benefit a wide range of researchers.

Abstract 4142793: Development of an Angiography-Based Multimodal AI Model for Predicting the risk of In-Stent Restenosis

Background: Despite advances in Second-generation drug-eluting stents (DES), 5-10% of patients still experience in-stent restenosis (ISR) after percutaneous coronary intervention (PCI), which generates significant financial burden and elevates the risk of acute coronary syndrome (ACS) and rehospitalization. Thus, early identification of patients at high risk for ISR is crucial for guiding clinical stratification and early intervention. Aims: To develop and validate a multimodal artificial intelligence (AI) model based on coronary angiography images for predicting ISR risk in patients post-DES implantation. Methods: To establish an accurate predictive model, our approach begins with the pre-training on 100,000 angiographic images to enhance the model’s capability in recognizing image features. Subsequently, we employ the DenseNet architecture as the primary deep learning model, incorporating angiographic images from 2,000 cases of DES-treated de novo lesions—1,000 from patients who did not experience ISR within two years and 1,000 from those who did. A multivariate logistic regression analysis, including radiomic features, clinical baselines, and functional information, constructs the predictive model. Additionally, a separate prospective cohort of 300 cases was assembled for validation to simulate real-world application and to verify the model's reliability and accuracy. Results: Our study successfully developed an AI prediction model for ISR, utilizing a large cohort of coronary angiography images, which effectively predicts ISR with high accuracy. Leveraging the DenseNet architecture and finely tuned machine learning algorithms, the model achieved a sensitivity and specificity of 90% in the validation cohort. The ROC curve from the test phase demonstrated an AUC above 0.90, underscoring the model’s exceptional diagnostic capabilities. Furthermore, the implementation of this model in a prospective cohort confirmed its reliability and practical utility in real-world clinical settings. Conclusions: This study introduces the first multimodal AI model using angiographic imaging to predict ISR. By demonstrating high diagnostic accuracy and reliability in real-world settings, this model serves as an essential tool for early ISR detection and intervention, ultimately helping to reduce the incidence of major adverse cardiac events (MACEs) and mortality.

Abstract 4137718: Coronary Artery Calcium for Risk Stratification of Heart Failure Mortality

Background: There is increasing interest in predicting heart failure (HF), a major cause of morbidity and mortality that exerts a significant financial burden. The role of coronary artery calcium (CAC), an accessible and inexpensive test, in predicting long-term HF mortality amongst asymptomatic adults remains unknown. Objectives: To determine if CAC burden is associated with HF-related mortality in the primary prevention population. Methods: The study included 66,636 primary prevention patients from the Coronary Artery Calcium Consortium. Multivariable competing risks regression was used to assess the association between CAC and HF-related mortality adjusting for demographics and traditional risk factors. Results: The mean age was 54.4 years, 67% male, 89% white, and 55% had CAC &gt;0. A total of 260 HF-related mortality events were observed during a median follow up of 12.5 years, 75.3% of which occurred among those with a baseline CAC score &gt;100. Compared with a CAC = 0, there was a stepwise higher risk (P &lt; 0.005) of HF mortality for CAC 1-100 (subdistribution hazard ratio [SHR]: 2.27; 95% CI: 1.3-3.99), 100-400 (SHR: 3.68; 95% CI 2.1-6.43), and &gt;400 (SHR: 7.05; 95% CI 4.05-12.29). This increasing risk of HF mortality across higher CAC scores persisted across age groups, sex, and in the intermediate and high-risk groups as calculated by the pooled cohort equation (PCE) and the PREVENT equation. Conclusions: Higher CAC is associated with increasing incidence of long-term HF-related mortality in the primary prevention population, particularly intermediate and high-risk patients. Early preventive approaches in patients with high CAC must focus on preventing heart failure and ASCVD with lifestyle changes and medications.

Abstract 4136932: Impact of Different Socioeconomic Metrics on Heart Failure-Related Admission and Short-Term Outcomes in Maryland

Introduction: Annually, over 500,000 Americans are hospitalized due to heart failure (HF), marking it as a major contributor to morbidity and mortality. It also poses a significant financial burden and leads to considerable losses in productivity. Objective: This study investigates the predictive accuracy of different socioeconomic metrics on the risk and outcomes of HF in Maryland. Methodology: A retrospective analysis of the Maryland State Inpatient Database (2016-2020) was conducted to assess the predictive accuracy of race/ethnicity, insurance status, household median income, and neighborhood poverty level (measured by the Distressed Communities Index) on the risk of heart failure-related hospital admissions and outcomes. Multivariate logistic regression models were also used to adjust for confounders. Result: During the study period, a total of 389,220 cases of HF were reported in the Maryland SID. The majority of these patients were white (56.8%) and female (51.1%), with a median age of 73 years (interquartile range [IQR] 62-82 years). The in-hospital mortality rate was 5.1%, while rates of atrial fibrillation, cardiac arrest and prolonged hospital stay were 34.4%, 0.3%, and 48.4%, respectively. Multivariate analysis revealed a substantial area under the ROC curve (AUC) indicating good model performance: 0.88 for predicting HF, 0.64 for atrial fibrillation, 0.64 for cardiac arrest 0.57 for prolonged hospital stays, 0.63 for mortality. Subgroup analyses showed variable predictiveness by race (AUC = 0.4378), payment method (AUC = 0.5754), income quartile (AUC = 0.5202), and deprivation composite score (AUC = 0.4751). Patients with private insurance had the highest risk of stress cardiomyopathy (odds ratio [OR] = 1.98; 95% confidence interval [CI] 1.70-2.29). Socioeconomic metrics, including neighborhood distress, showed varying predictive accuracy for the HF-related admissions and selected short-term outcomes, with the highest predictive accuracy for neighborhood distress on the risk of HF (AUC = 0.50, std: 0.006), atrial fibrillation (AUC = 0.48, std: 0.0007), cardiac arrest (AUC = 0.51, std: 0.007), and prolonged hospital stays (AUC = 0.53, std: 0.0005) and mortality (AUC = 0.50, std: 0.0015). Conclusion: Neighborhood poverty level demonstrates significant predictive power for assessing the risk of HF-related hospital admissions and the short-term outcomes among Maryland residents, exceeding factors like insurance and race/ethnicity.

"It is not the fault of the health care team - it is the way the system works": a mixed-methods quality improvement study of patients with advanced cancer and family members reveals challenges navigating a fragmented healthcare system and the administrative and financial burdens of care.

Healthcare fragmentation and lack of care coordination are longstanding problems in cancer care. This study's goal was to provide in-depth understanding of how the organization and fragmentation of healthcare impacts the experiences of patients with advanced cancer and their families, especially near the end-of-life. This mixed-methods quality improvement study took place at a large multi-specialty healthcare organization in Northern California. Electronic health record data was used to identify patients with advanced cancer and their characteristics. Data were collected 10/2019-05/2022 through periodic patient surveys and in-depth interviews with sampled family members, including open-ended questions about overall healthcare experiences. Data were analyzed using inductive thematic analysis. Overall, 281/482 (58.3%) patients with advanced cancer completed surveys. Surveyed patients' mean age was 68 (SD: 12.8) years, 53% were male, 73% White, 14.2% Asian, 1.4% Black, 3.9% Other; 8.9% Hispanic, and 19.2% were deceased within 12 months. Twenty-four family members completed in-depth interviews: 17/24 (70.8%) were spouses, 62.5% were female and 50% were interviewed after the patient's death. Respondents were generally positive about health care team interactions, but consistently brought up the negative impacts of the organization of healthcare, "It is not the fault of the health care team - it is the way the system works." Three major challenges were identified. (1) Systemic healthcare care fragmentation, including difficulties navigating care across providers and institutions, "It seems like everything is like an isolated incident… there's no overall, big picture viewpoint." (2) Administrative burdens, "In the end I gave up [scheduling care] because I was tired of calling." (3) Financial burdens, "This oncologist wanted to put him on a drug…but it was $4000 a month." Respondents described these challenges leading to worse quality of care, health, and quality of life, and loss of trust in the national healthcare system. These findings illustrate how care fragmentation and administrative and financial burdens lead to worse quality care and distrust of healthcare. Better coordination of patient-centered care, and a fundamental restructuring of a highly fragmented national healthcare system are required to meet the needs of patients with complex conditions like advanced cancer and their families.

Unraveling the enigma: chronic kidney disease of unknown etiology and its causative factors with a specific focus ondissolved organic compounds in groundwater-reviews and future prospects.

Chronic kidney disease is globally recognized as a highly impactful non-communicable disease. The inability of early identification contributes to its high mortality rate and financial burden on affected individuals. Chronic kidney disease of uncertain etiology (CKDu) constitutes a significant global public health concern. This condition does not arise from traditional risk factors such as diabetes, hypertension, or glomerulonephritis. More than 150 articles were analysed to understand risk factors of CKDu. This study aimed to investigate the potential association between dissolved organic compounds, such as Polycyclic Aromatic Hydrocarbons and Humic Acid, and the incidence of CKDu. Through a comprehensive literature review, we identified CKDu clusters worldwide, including notable nephropathies, and explored their potential links with organic compounds. Our analysis revealed that organic compounds can leach from sediments and low-rank lignite deposits into groundwater, subsequently contaminating water supplies and food. These compounds have been implicated in the development of diabetes and increased heavy metal mobility, both of which are risk factors for kidney disease. Our findings suggest that exposure to organic compounds may contribute to the etiology of CKDu, underscoring the need for regular monitoring and establishment of baseline and threshold values in water and soil. We also emphasize the importance of analyzing organic compounds in groundwater in CKDu hotspots and establishing distinct registries for CKD and CKDu implementation.