Race-and Ethnicity-Related Disparities in Predialysis Nephrology Care, Kidney Disease Education, and Home Dialysis Utilization.

BACKGROUND: Pre-dialysis nephrology care and kidney replacement therapy (KRT)-directed education (KDE) are essential for incident home dialysis use. However, there are substantial disparities in these care parameters among patients with advanced CKD. The impact of these disparities on home dialysis underuse has not been examined. METHODS: We analyzed the 2021 US Renal Database System to identify all adult kidney failure patients with over six months of pre-dialysis Medicare coverage initiating their first-ever dialysis between 2010 and 2019. We used a mediation analysis to dissect the attributable influence of disparities in pre-dialysis nephrology care and KDE on incident home dialysis use. Additionally, we conducted sensitivity analyses using graded levels of mediators and sustained impact on home dialysis outcomes. RESULTS: We identified 464,310 Medicare recipients: 428,301 using incenter hemodialysis and 35,416 using home dialysis as their first-ever dialysis modality during the study period. Compared to non-Hispanic White patients (n=294,914), adjusted odds ratio (95% confidence intervals) for receiving pre-dialysis nephrology care, KDE service, and incident home dialysis were 0.62(0.61, 0.64), 0.58(0.52, 0.63) and 0.76(0.73, 0.79) respectively among Hispanic individuals (n=49,734), and 0.74(0.73, 0.76), 0.84(0.79, 0.89), and 0.63(95%CI:0.61, 0.65) respectively among Black individuals (n=98,992). Mediation analyses showed that compared to non-Hispanic White individuals, lack of nephrology care explained 30% and 14% of incident home dialysis underuse among Hispanic and Black individuals, respectively (p<0.001). Sensitivity analyses using a longer duration of nephrology care and KDE services and the sustained impact on home dialysis underuse through the first-year post-kidney failure showed congruent and consolidating findings. CONCLUSIONS: Disparities in pre-dialysis nephrology care were significantly associated with lower home dialysis among Hispanic and Black individuals.

Associations Between Postdischarge Care and Cognitive Impairment-Related Hospital Readmissions for Ketoacidosis and Severe Hypoglycemia in Adults With Diabetes.

OBJECTIVE: Patients with severe hypoglycemia (SH) or diabetic ketoacidosis (DKA) experience high hospital readmission after being discharged. Cognitive impairment (CI) may further increase the risk, especially in those experiencing an interruption of medical care after discharge. This study examined the effect modification role of postdischarge care (PDC) on CI-associated readmission risk among U.S. adults with diabetes initially admitted for DKA or SH. RESEARCH DESIGN AND METHODS: We used the Nationwide Readmissions Database (NRD) (2016-2018) to identify individuals hospitalized with a diagnosis of DKA or SH. Multivariate Cox regression was used to compare the all-cause readmission risk at 30 days between those with and without CI identified during the initial hospitalization. We assessed the CI-associated readmission risk in the patients with and without PDC, an effect modifier with the CI status. RESULTS: We identified 23,775 SH patients (53.3% women, mean age 65.9 ± 15.3 years) and 140,490 DKA patients (45.8% women, mean age 40.3 ± 15.4 years), and 2,675 (11.2%) and 1,261 (0.9%), respectively, had a CI diagnosis during their index hospitalization. For SH and DKA patients discharged without PDC, CI was associated with a higher readmission risk of 23% (adjusted hazard ratio [aHR] 1.23, 95% confidence interval 1.08-1.40) and 35% (aHR 1.35, 95% confidence interval 1.08-1.70), respectively. However, when patients were discharged with PDC, we found PDC was an effect modifier to mitigate CI-associated readmission risk for both SH and DKA patients (P < 0.05 for all). CONCLUSIONS: Our results suggest that PDC can potentially mitigate the excessive readmission risk associated with CI, emphasizing the importance of postdischarge continuity of care for medically complex patients with comorbid diabetes and CI.

Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities.

OBJECTIVE: To summarize the recent methods and applications that leverage real-world data such as electronic health records (EHRs) with social determinants of health (SDoH) for public and population health and health equity and identify successes, challenges, and possible solutions. METHODS: In this opinion review, grounded on a social-ecological-model-based conceptual framework, we surveyed data sources and recent informatics approaches that enable leveraging SDoH along with real-world data to support public health and clinical health applications including helping design public health intervention, enhancing risk stratification, and enabling the prediction of unmet social needs. RESULTS: Besides summarizing data sources, we identified gaps in capturing SDoH data in existing EHR systems and opportunities to leverage informatics approaches to collect SDoH information either from structured and unstructured EHR data or through linking with public surveys and environmental data. We also surveyed recently developed ontologies for standardizing SDoH information and approaches that incorporate SDoH for disease risk stratification, public health crisis prediction, and development of tailored interventions. CONCLUSIONS: To enable effective public health and clinical applications using real-world data with SDoH, it is necessary to develop both non-technical solutions involving incentives, policies, and training as well as technical solutions such as novel social risk management tools that are integrated into clinical workflow. Ultimately, SDoH-powered social risk management, disease risk prediction, and development of SDoH tailored interventions for disease prevention and management have the potential to improve population health, reduce disparities, and improve health equity.