Trends in Diverticular Disease Hospitalizations and Racial Disparities in Outcomes Across the United States.

Objective This study evaluated trends and racial disparities in hospitalization, clinical outcomes, and resource utilization for diverticular disease (DD) between 2017 and 2020. Methods We performed a retrospective analysis using the NIS database from 1 January 2017 to 31 December 2020 to study hospitalizations for DD (CCSR code: DIG013). Our primary outcomes were hospitalization rates, all-cause mortality, total charges, and length of stay. Secondary outcomes included in-hospital complications and discharge status. Outcomes were stratified by race and ethnicity (White, Black, Hispanic, Asian or Pacific Islanders and Native Americans). Data were weighted and adjusted for clustering, stratification, and other relevant factors. The normality of the continuous data distribution was confirmed using Kolmogorov-Smirnov, and descriptive statistics were used to summarize variables. Demographic characteristics were compared using χ² and Student's t-test, with significance set at P<0.05. We used stepwise multivariable logistic regression to estimate adjusted odds ratios for study outcomes by race and ethnicity, controlling for demographic and clinical factors and correcting for multicollinearity. Missing data were treated with multiple imputations, trend analyses were performed using Jonckheere-Terpstra tests, and costs were adjusted for inflation using the GDP price index. Analyses were conducted with Stata 17MP. Results A total of 1,266,539 hospitalizations for DD were included for analysis. Approximately 953,220 (75.3%) were White patients and 313,319 (24.7) did not belong to the White race. A total of 747,868 (59%) were women compared to 518,671 (41%) men. Compared to patients who were not of the White race, White patients were younger (63.5 vs. 66.8 years; p<0.001). Hospitalizations for DD increased by 1.2% from 323,764 to 327,770 hospitalizations (2017-2019) and decreased by 11.8% from 327,770 to 289,245 admissions in 2020. Mortality rates were higher among White patients than in those not of the White race (16,205 (1.7%) vs 5,013 (1.6%)). However, no significant difference was observed in mortality odds between both sets of patients (aOR, 0.953; 95% CI 0.881-1.032; P=0.237). Mortality rates showed an uptrend over the study period (4,850 (1.5%) in 2017 to 5,630 (1.9%) in 2020; Ptrend<0.001). DD accounted for 7,016,718 hospital days, 2,102,749 procedures, and US$ 6.8 billion in hospital costs. Mean hospital costs increased from US$54,705 to US$72,564 over the study period (P<0.000). Patients who were not of the White race incurred higher mean hospital charges than White patients ($67,635 ± $6,700 vs $59,103 ± $3,850; P<0.001). Black race correlated with lower odds of bowel perforation, routine home discharge, and bowel resection (P<0.001). Conclusion During the study period, hospitalization and mortality rates and resource utilization for DD increased. Patients from other races incurred higher hospital costs than White patients. White Americans were more likely to be discharged to skilled nursing, intermediate care, and other facilities. Additionally, White patients were less likely to develop bowel abscesses compared to patients who were not White. Compared to White American patients, Black patients had fewer DD hospitalizations complicated by bowel perforations or requiring bowel resections. In contrast, DD admissions among Hispanic patients were more likely to require bowel resections than those among White American patients.

Socioeconomic and Demographic Determinants of Readmission Rates in Congestive Heart Failure Patients: Insights From the Nationwide Readmissions Database.

Background Congestive heart failure (CHF) is a leading cause of hospitalizations and readmissions, placing a significant burden on the healthcare system. Identifying factors associated with readmission risk is crucial for developing targeted interventions and improving patient outcomes. This study aimed to investigate the impact of socioeconomic and demographic factors on 30-day and 90-day readmission rates in patients primarily admitted for CHF. Methods The study was carried out using a cross-sectional study design, and the data were obtained from the Nationwide Readmissions Database (NRD) from 2016 to 2020. Adult patients with a primary diagnosis of CHF were included. The primary outcomes were 30-day and 90-day all-cause readmission rates. Multivariable logistic regression was used to identify factors independently associated with readmissions, including race, ethnicity, insurance status, income level, and living arrangements. Results A total of 219,904 patients with a primary diagnosis of CHF were used in the study. The overall 30-day and 90-day readmission rates were 17.3% and 23.1%, respectively. In multivariable analysis, factors independently associated with higher 30-day readmission risk included Hispanic ethnicity (OR 1.18, 95% CI 1.03-1.35), African American race (OR 1.15, 95% CI 1.04-1.28), Medicare insurance (OR 1.24, 95% CI 1.12-1.38), and urban residence (OR 1.11, 95% CI 1.02-1.21). Higher income was associated with lower readmission risk (OR 0.87, 95% CI 0.79-0.96 for highest vs. lowest quartile). Similar patterns were observed for 90-day readmissions. Conclusion Socioeconomic and demographic factors, including race, ethnicity, insurance status, income level, and living arrangements, significantly impact 30-day and 90-day readmission rates in patients with CHF. These findings highlight the need for targeted interventions and policies that address social determinants of health and promote health equity in the management of CHF. Future research should focus on developing and evaluating culturally sensitive, community-based strategies to reduce readmissions and improve outcomes for high-risk CHF patients.

Integrating Clinical and Socio-Environmental Approaches in Managing Rheumatoid Arthritis With Social Determinants of Health: A Case Study of an Elderly Patient in Rural Japan.

Rheumatoid arthritis (RA) poses significant management challenges, especially in elderly patients living in rural areas with limited access to health care. This case report illustrates an integrative approach to managing RA, emphasizing the interplay of clinical, social, and environmental factors. A 72-year-old woman in a rural Japanese setting presented with progressive, widespread joint pain, initially self-managed with over-the-counter medications. Her condition, complicated by socioeconomic constraints and limited access to health care, necessitated a comprehensive management strategy. Clinical examination revealed bilateral joint tenderness, swelling, and high titers of rheumatoid factor and anti-citrullinated protein antibodies, confirming RA. Treatment included methotrexate and prednisolone, complemented by lifestyle modifications. Interdisciplinary collaboration among healthcare professionals, including nutritionists and physiotherapists, facilitated her management. The patient's care was guided by the chronic care model and the ecological model, addressing her clinical needs and socio-environmental context. This holistic approach resulted in improved clinical outcomes and enhanced quality of life. This case highlights the importance of a patient-centered, multidisciplinary approach in managing RA in rural settings. Integrating clinical management with an understanding of social determinants and patient empowerment is crucial for effective treatment. The case underscores the need for adaptable healthcare strategies that are sensitive to the unique challenges faced by elderly patients in rural communities.