Health Policy Research Articles

Motivations behind end-of-life care: a qualitative study of Iranian nurses' experiences.

Providing high-quality end-of-life care is currently a paramount health priority. Given that the standard of care is intrinsically linked to nurses' motivations, it is becoming too imperative to explore the contributing factors Consequently, this study was undertaken to elucidate the experiences of Iranian nurses regarding their motivation for delivering end-of-life care. This research is a qualitative, descriptive inquiry employing conventional content analysis, carried out at two governmental hospitals in Gorgan, northern Iran, from February to July 2023. 12 nurses were purposefully selected to participate in the study, ensuring maximal diversity. The data were collected through semi structured interviews and analyzed using Graneheim and Lundman's five-step method. The coding process was facilitated by the useof MAXQDA version 10 software. To establish rigor, the four criteria outlined by Guba and Lincoln were applied. the participants included eight women and four men with an average age of 39.6 ± 6.31 years. The data analysis yielded five main categories and fifteen subcategories. The main categories were: "The Foundations of professional care in nursing", "Core Drivers in Optimal End-of-Life Care", "Family Involvement in End-of-Life Care", "Incorporating Spiritualism in Care" and "Dominant motivational Issues Within the Caregiving Atmosphere". This study delineates the experiences that influence the provision of end-of-life care from the perspective of Iranian nurses. Innate traits such as empathy and a passion for nursing, in addition to nurses' moral compass and spiritual beliefs, serve as pivotal motivational stimuli. Leveraging these findings can be instrumental in shaping healthcare practices and policies to enhance the quality of end-of-life care.

A Retrospective Analysis of Lessons Learned and Perspectives on Expansion of Verbal Autopsy Implementation in Zambia, 2023.

Accurate cause-of-death statistics are vital for public health policy, but less than one-third of deaths globally are assigned a cause. Verbal autopsy (VA) methods are crucial in low- and middle-income countries lacking complete civil registration and vital statistics (CRVS) systems. We explored VA implementation in Zambia by using a previously developed framework. The National Mortality Surveillance Subcommittee under the Monitoring and Evaluation Technical Working Group within the Ministry of Health coordinates mortality surveillance activities in Zambia. To date, passive, non-population-representative VA data collection mechanisms have been used, leading to underrepresentation of some communities. In spite of the use of electronic data collection tools, VA systems have not been electronically linked to public health surveillance or CRVS systems. Funding for VA has largely been donor driven. Increasing government funding may ensure sustainability, while the adoption of sample-based platforms while linking VA information technology systems may make VA data more useful, timely, and accessible.

Infectious Disease Modeling

Infectious diseases pose a persistent challenge to public health worldwide. Recent global health crises, such as the COVID-19 pandemic and Ebola outbreaks, have underscored the vital role of infectious disease modeling in guiding public health policy and response. Infectious disease modeling is a critical tool for society, informing risk mitigation measures, prompting timely interventions, and aiding preparedness for healthcare delivery systems. This article synthesizes the current landscape of infectious disease modeling, emphasizing the integration of statistical methods in understanding and predicting the spread of infectious diseases. We begin by examining the historical context and the foundational models that have shaped the field, such as the SIR (susceptible, infectious, recovered) and SEIR (susceptible, exposed, infectious, recovered) models. Subsequently, we delve into the methodological innovations that have arisen, including stochastic modeling, network-based approaches, and the use of big data analytics. We also explore the integration of machine learning techniques in enhancing model accuracy and responsiveness. The review identifies the challenges of parameter estimation, model validation, and the incorporation of real-time data streams. Moreover, we discuss the ethical implications of modeling, such as privacy concerns and the communication of risk. The article concludes by discussing future directions for research, highlighting the need for data integration and interdisciplinary collaboration for advancing infectious disease modeling.

Abstract 4113475: Association of Age at Diabetes Diagnosis and All-cause and Cardiovascular Mortality among 600,000 US Adults

Introduction: Diabetes is a leading cause of morbidity and mortality in the United States, causing an estimated 440,000 deaths among US adults in 2019. Establishing the relevance of diabetes diagnosis at various ages to mortality in the contemporary US population, both overall and among major demographic subgroups, may inform public health policy and strategy. Methods: We aimed to quantify the association between age at diabetes diagnosis and all-cause and cardiovascular mortality among US adults using publicly-available data from the National Health Interview Survey 1997-2018, linked to the National Death Index through 2019. We used Cox regression adjusted for age, sex, race and ethnicity, educational attainment, smoking status, body-mass index, physical activity, and insurance coverage to estimate all-cause and cardiovascular mortality rate ratios overall, by sex, and by race and ethnicity. Results: Among 601,467 included adults (56% female, 16% Hispanic and 14% non-Hispanic Black) there were 75,122 deaths during 6.6 million person-years of follow-up. Overall, the all-cause mortality rate ratio associated with diabetes diagnosed at ages 20-29, 30-39, 40-49, 50-59, 60-69, or 70-79 years were 3.87 (95% CI 3.47-4.32), 2.87 (2.68-3.07), 2.26 (2.16-2.36), 1.72 (1.65-1.79), 1.47 (1.41-1.53), and 1.26 (1.19-1.33), respectively. The corresponding cardiovascular mortality rate ratios were 5.02 (4.09-6.16), 3.37 (2.99-3.78), 2.88 (2.65-3.13), 1.94 (1.81-2.09), 1.53 (1.43-1.65), and 1.27 (1.15-1.40), respectively. Although these associations were similar by sex and by race and ethnicity, the age-specific prevalence of diabetes was greatest among non-White participants. Among individuals with diabetes diagnosed at ages 20-29, 30-39, 40-49, 50-59, 60-69, or 70-79 years, an estimated 74%, 65%, 56%, 42%, 32%, or 20% of deaths from any cause were attributable to diabetes. Conclusion: Age at diabetes diagnosis was associated with all-cause and cardiovascular mortality in a dose-dependent and approximately log-linear manner. Although associations were similar across diverse demographic groups, age-specific diabetes prevalence was greatest among non-White individuals, leading to greater mortality burden. If these associations were interpreted as largely causal, diabetes accounted for more than half of all deaths among those diagnosed before age 50 years. Preventing, delaying, and appropriately managing diabetes could prevent substantial excess mortality among US adults.

Annual Survey of State and Territorial Chronic Disease Prevention and Health Promotion Capacity and Organizational Development Needs—United States, 2023

Objective: The National Association of Chronic Disease Directors (NACDD) is a nonprofit organization that supports state and territorial chronic disease prevention and health promotion efforts through capacity building and technical assistance. Each year, NACDD surveys health department leaders who oversee chronic disease prevention and health promotion (hereafter, Chronic Disease Directors). We have previously used the annual survey results to inform strategic planning and resource allocation but have not historically published key findings in the peer-reviewed literature. In this paper, we report on NACDD’s 2023 survey outcomes and place those findings into the broader public health policy context. Design: State Chronic Disease Directors completed a survey about their organizational capacity and development needs. Responses were summarized in aggregate and by jurisdiction size. Results: State chronic disease units have varied staffing and responsibilities, but most address diabetes, cardiovascular diseases, and cancer screening and prevention. Chronic Disease Directors generally reported strong or improving capacity in most practice areas but ranked workforce development lower. Staffing increased slightly during 2023 compared with the 2020 baseline (median of 1.3 and 1.1 employees per 100 000 jurisdiction population, respectively). However, Chronic Disease Directors expressed ongoing concerns about turnover, hiring, and training of inexperienced staff, as well as about funding limitations and uncertainty. Looking forward to 2024, many Chronic Disease Directors expressed intentions to focus on supporting their workforce with training and development opportunities and addressing health equity. Conclusions: During this period of pandemic recovery, turnover, hiring, and training—particularly of the many new public health staff—remain key areas of concern for many chronic disease units. Continued stabilization of public health funding and increased prioritization of organizational capacity development—particularly workforce development, chronic disease data systems, and tools for addressing health equity—could help ensure chronic disease units can better address current and emerging challenges in chronic disease prevention and health promotion.

Abstract 4128962: Medicaid Work Requirements and Changes in Insurance Coverage, Employment, Access to Care, and Health Status Overall and Among People with Cardiovascular Disease

Introduction: Medicaid work requirements have been at the forefront of health policy debate. Proponents argue that these policies increase employment, reduce poverty, and improve health. Critics have raised concerns that work requirements lead to loss of coverage and impede access to care. Hypothesis: We hypothesized that Medicaid work requirement implementation would be associated with decreased insurance coverage and healthcare access without impacting employment. Methods: We used the Behavioral Risk Factor Surveillance System (a nationally representative survey administered by the CDC) to estimate the impact of Medicaid work requirements on insurance coverage, employment, access to care, and self-reported health. We used a difference-in-differences (DID) approach to compare changes in outcomes in Arkansas (where work requirements were implemented) versus control states. Outcomes were self-reported and included: 1) insurance coverage, 2) employment, 3) presence of a personal healthcare provider, 4) inability to see a doctor due to cost, and 5) self-reported health. The analysis was conducted among all respondents and among respondents with cardiovascular disease, who were hypothesized to be particularly vulnerable to negative sequelae of insurance loss. Results: The implementation of Medicaid work requirements in Arkansas was associated with decreased insurance coverage compared with control states (adjusted DID estimate -4.3%, CI -8.4%, -0.1%), but no increase in employment rates (-2.2% CI -7.0%, 2.6%). There was a trend toward decreased likelihood of having a personal healthcare provider (-4.7% CI -9.9%, 0.5%). There was no change in inability to see a doctor due to cost or self-reported good health. When this analysis was repeated among participants with cardiovascular disease, work requirement implementation was not associated with changes in any of the outcome variables. Conclusions: The implementation of Medicaid work requirements in Arkansas was associated with decreased insurance coverage and no change in employment. Our findings are particularly relevant given national policy debate about work requirement expansion and the recent implementation of Medicaid work requirements in Georgia. Despite the null findings among respondents with cardiovascular disease (likely the result of a small sample size), this study has important implications for cardiovascular health given the close association between insurance coverage and cardiovascular outcomes.

Abstract 4112853: Trends in Statin Use for the Secondary Prevention of Atherosclerotic Cardiovascular Disease among U.S. Adults by Age, 1999-2020

Background: Current research focusing on trends in statin medication usage, particularly for different age groups, is limited. This study explored the change trends in statin usage from 1999 to 2020, with a specific focus on different age groups. Methods: Utilizing data from the National Health and Nutrition Examination Survey spanning the period from 1999 to 2020, our study included individuals aged 18 years and older diagnosed with atherosclerotic cardiovascular disease (ASCVD). Results: In the 18-44 years age group, usage changed from 18.34% (95% CI, 0.18 to 36.50) in 1999 to 16.63% (95% CI, 0.36 to 32.91) in 2020 (linear P value = 0.540, quadratic P value = 0.610) (Figure 1). For individuals aged 45-64 years, usage increased from 39.33% (95% CI, 29.62 to 49.05) in 1999 to 54.97% (95% CI, 47.10 to 662.83) in 2020 (linear P value < 0.001, quadratic P value = 0.777) (Figure 1). In the group aged 65 years and older, usage increased from 35.17% (95% CI, 29.57 to 40.77) in 1999 to 60.62% (95% CI, 55.73 to 65.51) in 2010, and further to 68.62% (95% CI, 63.65 to 73.60) in 2020 (quadratic P value < 0.001) (Figure 1). There was an interaction effect between statin usage trends and age (P for interaction <0.001) (Figure 1). Conclusion: Overall, current health policies are effective for the use of statins for the secondary prevention of ASCVD. However, there was almost no improvement in statin usage within the 18-44 years age group. This highlights the need for greater focus on young ASCVD patients. Therefore, additional research is needed on statin use among young people.

Integrating public health & primary care: a framework for seamless collaboration.

Integration between public health and primary care is rising on the health policy agenda but the terms and concepts involved can be confusing. This article reviews the relevant literature and presents a new framework to help policymakers think through what they are aiming to achieve and why. We unpack different degrees and types of integration and show how they fit together. We argue that the merger of public health and primary care into a single entity with one aim, budget, and one multidisciplinary team isn't necessarily the desired end-point for most health systems, but that seamless collaboration will likely improve patient and health system outcomes, save resources, and improve population outcomes. We recommend that efforts to foster better collaboration should take an activity-based approach, promoting alignment of teams, training, budgets, values and culture around specific tasks, and in proportion to need.

Abstract 4138275: Demographic, Regional, and State-level Trends of Mortality in patients with Atrial fibrillation in the United States, 1999 to 2020

Background: There exists a paucity of data regarding mortality trends among individuals with atrial fibrillation (AF) based on age, gender, race and ethnicity, and geographic regions. Objective: To investigate the trends in mortality in the United States (US) associated with AF among individuals aged ≥45 years. Methods: We reviewed the death certificate data from the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database to examine atrial fibrillation–related mortality trends from 1999 to 2020 in individuals ≥45 years of age. We calculated crude and age adjusted mortality rates (AAMRs) per 100 000 patients and annual percentage change (APC) with 95% CIs. Results: Between 1999 and 2020, 2,576,839 AF-related deaths were identified among US adults over 45 years of age. The age adjusted mortality rate (AAMR) for AF-related deaths rose significantly from 70.6 in 1999 to 149.1 in 2020. Initially, the AAMR remained stable from 1999 to 2009 (APC): 2.31; 95% CI: -0.57 to 5.84), then increased significantly from 2009 to 2018 (APC: 3.60; 95% CI: 2.12 to 4.75), and saw a sharp rise from 2018 to 2020 (APC: 8.46; 95% CI: 4.76 to 10.44). There were notable disparities among demographic groups. Men consistently had higher AAMRs than women from 1999 (men: 79.9, women: 64.4) to 2020 (men: 180.5, women: 125.3). Non-Hispanic (NH) White adults had the highest AAMR (108.6), followed by NH American Indian/Alaska Native (73.4), NH Black (66.7), Hispanic or Latino (55.5), and NH Asian or Pacific Islander adults (51.2). The age group 85+ consistently showed the highest mortality rates throughout the study period. Regional differences were also evident, with the residents of western region (109.5) and nonmetropolitan areas (109.6) having the higher AAMRs when compared to other regions (Midwest: 104.3, Northeast: 95.1, and South: 95.0) and metropolitan areas (98.3), respectively. State-level variations were also significant. Conclusion: Our study found a rise in AF-related mortality in the US from 1999 to 2020, with significant disparities among demographic and geographic subgroups. Higher AAMRs were noted in males, non-Hispanic Whites, adults over 85, and residents of the western and nonmetropolitan US. Addressing disparities in access to quality care, timely diagnosis, insurance maintenance, and implementing targeted health policies can help reduce AF-related mortality.

Influencing Factors of Nurses' Well-Being in Critical Care During Pandemic Era: A Systematic Review.

To identify factors protecting and hindering the well-being of critical care nurses during the COVID-19 pandemic. The unique work challenges of critical care nurses can undermine their professional and mental well-being; as evidenced by the prevailing literature on burnout, compassion fatigue, and moral distress. The COVID-19 pandemic has seen these professionals on the front lines and has raised many questions about professional well-being. Identifying the factors that protect and hinder the well-being of critical care nurses would help to develop the strategies necessary to reduce worrying phenomena associated with professional malaise. A systematic review was conducted using electronic databases including PubMed, CINAHL, Scopus, Cochrane, PsycINFO, and Web on Science. After full text analysis, 25 papers were included in the current systematic review. Factors influencing the well-being of critical care nurses have been grouped into "Protective" and "Hindering." This review shows that critical care nurses' well-being is influenced by factors like personal resilience and supportive work environments, which enhance their experience. Challenges include sociodemographic issues and the COVID-19 pandemic's impact. Addressing these factors is crucial for their well-being and the effectiveness of healthcare systems. The well-being of nurses is intricately linked to the quality and security of patient care, ultimately influencing clinical outcomes. This review delves deeply into the multifaceted factors that affect the professional well-being of critical care nurses during the COVID-19 pandemic. Recognizing these elements is critical for directing health policy toward the development of initiatives that bolster healthcare workers' welfare. Prioritizing the professional well-being of nurses is imperative, as it is fundamental in mitigating the increasing inclination towards job turnover, a challenge that is profoundly impacting the healthcare sector.

Older adult immigrants' experiences of being hospitalized: a qualitative study.

Access to equal health services is a key issue in most European countries. In the coming years, immigrants will constitute an increasing proportion of older adults in Europe, and their need for healthcare services will likely increase. Healthcare services must prepare for such encounters to make them equitable. Older immigrants' hospitalization experiences require elucidation. Their patient experiences can provide important knowledge when the healthcare system is working toward equal and equitable healthcare services. This study employed an exploratory qualitative design. Data were collected through narrative interviews with a purposive sample of eight older adult immigrants, aged 61-79 years. Patient narratives were analyzed using thematic analysis with a reflexive approach, as outlined by Braun and Clarke. The analysis created three themes that shed light on older adult immigrants' experiences as hospital patients. The themes conveyed experiences related to challenging involvement and interaction, notions of what an ideal patient should be like, and participants not feeling valued as a person. The findings indicate that communication between healthcare professionals and older adult immigrant patients is deficient: older immigrants in this study did not make their voices heard nor were they invited to participate by healthcare professionals. This contributes to limited involvement in assessment, treatment, and care. The older immigrants felt that they were not valued nor met as unique individuals. The findings indicate that health policy goals regarding patient participation and person-centered care are not met when older immigrants are patients. Consequently, the experiences of older adult immigrants in this study indicate that equal health services are at risk.

Abstract 4147608: Trends in Mortality and 30-Day Readmission Rates Among Heart Failure Patients Undergoing Cardiac Rehabilitation: A Nationwide Analysis from 2017 to 2020

Background: Heart failure (HF) is a significant public health concern, affecting approximately 6.2 million adults in the United States, with high mortality and readmission rates. Cardiac rehabilitation (CR) programs have been widely recognized as a crucial component of HF management, aiming to improve physical function, reduce symptoms, and enhance quality of life. Despite the established benefits of CR, there is a need to understand the trends in mortality and readmission rates among HF patients participating in these programs. We aim to analyze mortality and 30-day readmission rate trends among heart failure patients undergoing cardiac rehabilitation from 2017 to 2020 using NRD data. Hypothesis: We hypothesize a significant downward trend in mortality rates and significant yearly variation in 30-day readmission rates among heart failure patients undergoing cardiac rehabilitation. Methods: We analyzed NRD data from 2017 to 2020, including patients with ICD-10 codes I50 (heart failure) and Z5189 (cardiac rehabilitation). Trend analyses were performed using Ordinary Least Squares (OLS) regression for mortality rates and the Cochrane-Armitage test for binary data. Multivariate regression adjusted for age, sex, and comorbidities. Statistical analyses were conducted using STATA version 18. Results: From 2017 to 2020, annual mortality rates were 6.9% (95% CI: 0.95% to 12.85%), 5.5% (95% CI: 0.47% to 10.52%), 4.6% (95% CI: -0.51% to 9.68%), and 1.9% (95% CI: -1.90% to 5.74%), respectively. The mean age was 78 years, with 54% were female. OLS regression showed a significant downward trend in mortality (p = 0.025), while the Cochrane-Armitage test did not (p = 0.998). Multivariate regression also indicated a downward trend, though individual predictors were insignificant (p=0.576). For 30-day readmission rates from 2017 to 2020, annual margins were 21.5% (2017), 21.7% (2018), 18.0% (2019), and 34.3% (2020), showing significant yearly variation. Conclusion: Despite the varying range of 30-day readmission within the years of interest, there seems to be a significant downward trend in mortality for heart failure patients who underwent cardiac rehabilitation. Further studies are required to corroborate these findings as understanding CR program outcomes can help identify improvement areas, guide resource allocation, and inform healthcare policy decisions.

Abstract 4138482: The burden of ischemic heart disease, hypertension, diabetes mellitus, and obesity among older Latino and Chinese adults with and without limited English proficiency

Background: An estimated 15% of Latinos and 34% of Chinese in the US have limited English proficiency (LEP). However, there is limited information on whether ischemic heart disease (IHD) and its risk factors (hypertension, HTN; diabetes mellitus, DM; and obesity) vary by LEP vs. non-LEP status in these ethnic groups. This information may be valuable for targeting healthcare interventions. METHODS: This cross-sectional study used data for Latino (79,588 men, 85,560 women), and Chinese (25,944 men, 32,586 women) adults aged 50-79 years who were members of a northern California health plan in 2018-2019. Age, sex, language preference, obesity (BMI ≥30 for Latino and ≥27.5 kg/m2 for Chinese), and IHD, HTN, and DM diagnoses were abstracted from electronic health records. LEP was defined as Spanish/Chinese vs. English (non-LEP) language preference. Prevalence was compared by LEP status within age-sex groups. Modified Poisson regression was used to estimate age-adjusted prevalence ratios. RESULTS: Among Latino men aged 50-64 (57,835, 39% LEP) and 65-79 (21,753, 30% LEP) and Chinese men aged 50-64 (14,751, 42% LEP) and 65-79 (11,193, 40.3% LEP) years, IHD prevalence was lower in LEP vs. non-LEP (Latino: 3.5% vs. 6.0% and 13.8% vs. 19.0%; Chinese: 3.6% vs. 5.8% and 11.9% vs. 14.5%). Similar trends were observed in women, but IHD prevalence was much lower. Among Latino and Chinese men, HTN and obesity prevalence was lower, but DM was similar. For women, HTN was similar, but DM was higher in LEP Latina (age 50-79) and Chinese adults (age 65-79), while obesity was lower in LEP Chinese but not Latina adults. Differences remained after adjusting for age (aPR). CONCLUSION: The burden of IHD, HTN, and obesity is similar or lower among LEP vs. non-LEP Latino and Chinese adults, while the burden of DM is higher for LEP vs. non-LEP Latina and Chinese women. These findings suggest that while DM prevalence is already high, acculturation is associated with higher risk of developing some chronic CVD conditions, underscoring the need for targeted healthcare interventions. Further research is needed to explore mechanisms driving these disparities and to develop culturally appropriate strategies to improve health outcomes.

Abstract 4124875: Association between Elevated Lipoprotein(a) and Cardiovascular Events and Mortality in a Nationally Representative Sample of US Medicare, Medicaid, and Commercial Enrollees with ASCVD

Background: Elevated lipoprotein(a) [Lp(a)] is an independent and causal risk driver for atherosclerotic cardiovascular disease (ASCVD). Few patients with ASCVD receive Lp(a) screening and real-world data assessing the association between elevated Lp(a) and risk of cardiovascular (CV) events and mortality is limited. Objectives: To examine the association of elevated Lp(a) and risk of CV events and death in an ASCVD population using large US health claims databases. Methods: Patients with ASCVD were pooled from US Medicare, commercial, and Medicaid health plans from 2017 to 2022. Lp(a) levels were linked at the patient level from HealthVerity Lab Data and categorized as: <30 mg/dL (<75 nmol/L), ≥30-<50 mg/dL ( > 75-<125 nmol/L), ≥50-<70 mg/dL ( > 125-<175 nmol/L), ≥70-<90 mg/dL (≥175-<225 nmol/L) and ≥90 mg/dL (≥225 nmol/L). Patients were followed from the 1 st ASCVD diagnosis (index) to insurance plan disenrollment, death, or end of study. Cox regression, adjusted for age, sex, race, insurance, comorbidities, LDL-C, and other risk factors, measured the association between Lp(a) levels and risk of CV events and death. Results: Of 28.8 million ASCVD patients, 180,240 (0.6%) had Lp(a) levels: mean(±SD) age 68.6±1 years, 50.1% male, 5.9% Black, 2.8% Hispanic, 2.1% Asian, 72.8% Medicare, 21.8% commercial, and 5.4% Medicaid. Mean follow-up was 3.7 years; 23.3% and 15.7% had Lp(a) ≥50mg/dL [≥125 nmol/L] and ≥70 mg/dL (≥175 nmol/L), respectively. Black patients had highest median Lp(a) (50 mg/dL/111 nmol/L), followed by Asian (13.5 mg/dL/35.5 nmol/L), White (13 mg/dL/32 nmol/L), and Hispanic (11.5 mg/dL/29 nmol/L) patients. Lp(a) levels of ≥30-<50 mg/dL, ≥50-<70 mg/dL, ≥70-<90 mg/dL, and ≥90 mg/dL were associated with 7%, 10%, 16%, and 26% greater risks of CV events vs. <30 mg/dL (p-values <0.0001; cumulative incidence reported in Figure 1). All-cause mortality risk was also greater for those with Lp(a) ≥90 mg/dL vs. <30 mg/dL: hazard ratio (HR)=1.11, p=0.003. Similar trends persisted for patients with LDL-C ≤70 mg/dL. Conclusion: In this national-scale real-world cohort of patients with ASCVD, Lp(a) testing is infrequent and elevated Lp(a) levels were significantly associated with a greater risk of CV events and mortality.

Abstract 4137461: Elevated Lipoprotein(a) Increases Cardiovascular-Related Healthcare Resources Utilization and Costs among US Medicare, Medicaid, and Commercial Enrollees with ASCVD

Background: Elevated lipoprotein(a) [Lp(a)] is a recognized genetic, independent, and causal risk driver for atherosclerotic cardiovascular disease (ASCVD). Less is known about how elevated Lp(a) affects downstream cardiovascular (CV)-related healthcare resource utilization (HCRU) and costs in patients with ASCVD. Objective: To assess the association of Lp(a) levels with CV-related HCRU (hospitalizations, outpatient and emergency department [ED) visits), and CV-related costs for patients with ASCVD in a national-scale multi-insurance cohort. Methods: Patients with ASCVD were pooled from US Medicare, commercial, and Medicaid health plans from 2017 to 2022. Lp(a) levels (mg/dL and nmol/L) were linked at the patient level with HealthVerity Lab Data. Elevated Lp(a) was defined as Lp(a)≥70mg/dL (≥ 175 nmol/L) and normal Lp(a) was defined as Lp(a)<30mg/dL (<75 nmol/L). Generalized linear models with log link negative binomial distribution (HCRU) and log link gamma distribution (costs) adjusted for age, sex, race, insurance type, comorbidities, statin use, and prior hospitalizations, measured the association of Lp(a) levels with the annualized rate of CV-related hospitalizations, ED visits, and outpatient visits (incidence rate ratio [IRR]) and CV-related costs (annualized cost ratio). Results: A total of 180,240 ASCVD patients were identified with Lp(a) values. Median (IQR) Lp(a) was 14 mg/dL (4 mg/dL – 48 mg/dL) or 35 nmol/L (12 nmol/L – 114 nmol/L). Mean (SD) age was 68.6 (12.0) years with 49.9% being female; 72.8% of patients were from Medicare, followed by commercial (21.8%) and Medicaid (5.4%). Fully adjusted CV-related HCRU was significantly higher in those with elevated Lp(a) compared to normal Lp(a): inpatient hospitalizations (IRR=1.11), outpatient visits (IRR=1.11) and ED visits (IRR=1.06), all p <0.001 (IRR and 95% CI reported in Table 1). Patients with elevated Lp(a) had 14% higher CV-related annualized healthcare costs than patients with normal Lp(a) (p <0.001) with significantly higher CV-related HCRU beginning with Lp(a) levels >30 mg/dL (>75 nmol/L). Conclusion: Elevated Lp(a) was significantly associated with greater CV-related HCRU and costs in patients with ASCVD.

Abstract 4131439: Routine Social Isolation Screening Among Adults with Cardiovascular Disease: A Survival Analysis

Background: Evidence linking social isolation to cardiovascular disease morbidity and mortality has grown in recent years. Still, information on how this may manifest in real world settings and its implications for screening practices is limited. In 2019, our large national integrated health care system implemented screening for social isolation as part of a broader universal social risk assessment. This repository of screening data was joined to administrative claims to test these associations in real world data and explore differences by demographic and medical factors. Methods: Social isolation responses recorded from 2019-2022 were included for a cohort of adult health plan members with documented atherosclerotic cardiovascular disease (ASCVD). We selected a single random assessment for each member and retained any other responses for sensitivity analyses. Cohort members had at least 10 months of enrollment surrounding assessment date for use as the baseline period and were followed for 365 days. We used cox proportional hazards regression with right censoring for coverage gaps to estimate the risk of all-cause mortality conferred by social isolation. We used Poisson regression to model the rate of inpatient stays. Results: There were 881 deaths among 7,484 members (18% of those with social isolation; 11% of those without). The isolated group skewed less male (54% vs. 65%, p <0.001) and older (68.4 [SD 12.7] vs. 67.5 [SD 12.6] years, p <0.05) than those not isolated. At baseline, the isolated group had higher rates of mean inpatient stays (2.3 [SD 1.9] vs. 1.9 [SD 1.6], p <0.001), ED visits (1.2 [SD 1.9] vs. 0.9 [SD 1.6], p < 0.001), and smoking (50% vs. 44%, p < 0.05), and a higher mean Charlson Comorbidity Index (CCI) (3.6 [SD 2.6] vs. 3.0 [SD 2.4], p < 0.001). Adjusted survival models suggested an independent 33% increase in all-cause mortality risk among those screening positive for social isolation (1.33 HR 95% CI 1.10, 1.62). Adjusted Poisson models found a similar increase in inpatient stays (1.36 IRR 95% CI 1.14, 1.62). Conclusions: Our findings corroborate the association between social isolation and morbidity and mortality among those with known ASCVD. The effect for social isolation was similar in magnitude to clinical comorbidities and smoking, suggesting that routine screening for social isolation may provide valuable information for assessing and managing the risk of death among patients with ASCVD.

Abstract 4137949: Trends in Hypertensive Related Heart Disease Mortality Among Older Adults in the United States, 1999 - 2020

Background: Hypertensive heart disease (HHD) is a major global health concern that impairs quality of life and causes significant morbidity and mortality, especially among older adults. We aimed to examine the temporal trends in HHD-related mortality in the United States (U.S.) between 1999 to 2020. Methods: The CDC WONDER multiple-cause of death database was utilized to identify HHD-related mortality among adults aged ≥ 55 years from 1999 to 2020. Age-adjusted mortality rates (AAMRs) per 100,000 persons and annual percent change (APC) were calculated and stratified by year, gender, race, and geographic region. Results: A total of 1,186,183 HHD-related deaths were recorded among individuals ≥ 55 years old. Overall, AAMR increased from 36.7 in 1999 to 133.9 in 2020. AAMRs showed a steady increase between 1999 and 2017 (APC: 3.72 [95% CI: 2.72 to 4.49]), followed by a surge from 2017 to 2020 (APC: 14.28 [95% CI: 8.21 to 22.93]). Gender-based analysis showed a constantly higher AAMR among older men compared to older women. Variations in AAMR based on race revealed that Non-Hispanic (NH) Black or African American population had the highest AAMRs. Geographic disparities among states showed that the District of Columbia had the highest AAMR while Nebraska had the lowest. The southern U.S. also had a consistently higher AAMR followed by the West, Northeast, and Midwest. Moreover, metropolitan areas had a higher AAMR than nonmetropolitan areas. Conclusion: Our findings reveal an increase in HHD-related deaths and demonstrate that NH Blacks consistently bear a higher burden of disease mortality. These insights underscore the importance of integrating demographic and geographic variables into public health planning and interventions.

Maternal mortality in Panama from 1998 to 2022.

To examine maternal mortality in Panama, analyzing its direct obstetric deaths, indirect obstetric deaths, and contributory conditions. This cohort study used publicly available data from the National Institute of Statistics and Census to present a 25-year retrospective analysis of maternal deaths in the Republic of Panama from 1998 to 2022. Public data were sourced from the National Institute of Statistics and Census website of Panama. Relevant codes from the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD) were used. The maternal mortality ratio (MMR) was defined as the number of maternal deaths per 100 000 live births. Trendline reliability with R 2 was performed to analyze the data. A total of 1 026 maternal deaths occurred in Panama from 1998 through 2022, of which 61.2% were attributed to direct obstetric causes; 23.9%, indirect obstetric causes; 13.6%, contributory conditions; and 1.4% were unknown or undetermined. The average MMR was 60.1. The trendline reliability resulted in R 2 = 0.1 (y = -0.5147x + 1094.7), which is not statistically significant but meets the 2030 Sustainable Development Goals. The specific primary causes of direct obstetric deaths were: 12.9% due to postpartum hemorrhage (ICD O72); 9.2%, eclampsia (ICD O15); 6.7%, puerperal sepsis (ICD O85); and 6.3%, pre-eclampsia (ICD O14). For indirect obstetric deaths, the primary causes were: 14.9% due to other maternal diseases classifiable elsewhere but complicating pregnancy, childbirth, and the puerperium (ICD O99); and 7.3%, maternal infectious and parasitic diseases classifiable elsewhere but complicating pregnancy, childbirth, and the puerperium (ICD O98). The findings of this study confirmed that there were substantially more direct obstetric causes (61.2%) than indirect obstetric causes (23.9%), contributory causes (13.6%), or unknown/undetermined causes (1.4%) of maternal mortality, despite being highly preventable. Although Panama is right on track to fulfill the target of 70 MMR by 2030, these results highlight the lack of health care access due to the absence of obstetrician-gynecologists per 100 000 population in indigenous comarcas, where 30.8% of the maternal mortalities occur. Furthermore, the health system in Panama is not immune to pandemics and crises. From 1998 to 2022, there were 5 years when the MMR in Panama exceeded 70: 2001, 2002, 2006, 2011, and 2020. These findings also underscore the dichotomy between statistics and health policy. While the trendline reliability was insignificant (R 2 = 0.1), the MMR satisfies requirements for the 2030 Sustainable Development Goals. Future studies should consider factors related to indirect obstetrics and contributory causes of deaths, health care access, COVID-19, cesarean section and natural birth, age, economic income, prenatal and postpartum care, as well as the quality of private and public health facilities in the Americas.

Decision Support System (DSS) for Improving Production Ergonomics in the Construction Sector

Ergonomics is essential to improving workplace safety and efficiency by reducing the risks associated with physical tasks. This study presents a decision support system (DSS) aimed at enhancing production ergonomics in the construction sector through an analysis of high-risk postures. Using the Ovako Work Posture Analysis System (OWAS), the Revised NIOSH Lifting Equation (NIOSH equation) and Rapid Entire Body Assessment (REBA), the DSS identifies ergonomic risks by assessing body postures across common construction tasks. Three specific postures—X, Y and Z—were selected to represent typical construction activities, including lifting, squatting and repetitive tool use. Posture X, involving a forward-leaning stance with arms above the shoulders and a 25 kg load, was identified as critical, yielding the highest OWAS and NIOSH values, thus indicating an immediate need for corrective action to mitigate risks of musculoskeletal injuries. The DSS provides recommendations for workplace adjustments and posture improvements, demonstrating a robust framework that can be adapted to other postures and industries. Future developments may include application to other postures and sectors, as well as the use of artificial intelligence to support ongoing ergonomic assessments, offering a promising solution to enhance Occupational Safety and Health policies.

Operation strategies of the supplier, demander, and third party under the DRG/DIP reform

In this study, we analyze the operation strategies of the supplier, demander, and third party involved in the current process of China’s health insurance reform. Specifically, we summarize the relevant literature on the reform of healthcare insurance both in China and abroad, explore the current changes in healthcare policy, and identify the main problems in the current diagnosis-related group/diagnosis-intervention packet (DRG/DIP) payment method reform. Based on our analysis, we propose strategies that can satisfy the needs of the supplier, demand side, and third parties and offer valuable suggestions to enhance the healthcare security system and promote the DRG/DIP payment method reform.