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Background To decrease hospital readmission rates, clinical practices create a transition of care (TOC) process to assess patients and coordinate care postdischarge. As current evidence suggests lack of universal benefit, this study's objectives are to determine what patient and process factors associate with hospital readmissions, as well as construct a model to decrease 30-day readmissions. Methods Three months of retrospective discharged patient data (n = 123) were analysed for readmission influences including: patient-specific comorbidities, admission-specific diagnoses, and TOC components. A structured intervention of weekly contact, the Care Coordination Cocoon (CCC), was created for multiply readmitted patients (MRPs), defined as ≥2 readmissions. Three months of postintervention data (n = 141) were analysed. Overall readmission rates and patient- and process-specific characteristics were analysed for associations with hospital readmission. Results Standard TOC lacked significance. Patient-specific comorbidities of cancer (odds ratio [OR] 6.27; 95% confidence interval [CI] 1.73–22.75) and coronary artery disease (OR 6.71; 95% CI 1.84–24.46), and admission-specific diagnoses within pulmonary system admissions (OR 7.20; 95% CI 1.96–26.41) were associated with readmissions. Post-CCC data demonstrated a 48-h call (OR 0.21; 95% CI 0.09–0.50), answered calls (OR 0.16; CI 0.07–0.38), 14-day scheduled visit (OR 0.20; 95% CI 0.07–0.54), and visit arrival (OR 0.39; 95% CI 0.17–0.91) independently associated with decreased readmission rate. Patient-specific (hypertension—OR 3.65; CI 1.03–12.87) and admission-specific (nephrologic system—OR 3.22; CI 1.02–10.14) factors associated with readmissions which differed from the initial analysis. Conclusions Targeting a practice's MRPs with CCC resources improves the association of TOC components with readmissions and rates decreased. This is a more efficient use of TOC resources. [ABSTRACT FROM AUTHOR]

BACKGROUND Electronic health records (EHR) have become commonplace in medicine. A disconnect between developers and users while creating the interface often fails to create a product that captures clinical workflow, and issues become apparent with implementation. Optimization allows collaboration of clinicians and informaticists after implementation, but documentation of success has only been at the institutional level. METHODS A 4-month, department-wide EHR optimization was conducted with information technology (IT). Optimizations were developed from an intensive quality improvement process involving all levels of clinicians and clinical staff. The optimizations were then categorized as accommodations (department adjusted workflow to EHR), creations (IT developed new workflows within EHR), discoveries (department found workflows within EHR), and modifications (IT changed workflows within EHR). Departmental productivity, defined as number of visits, charges, and payments, was standardized to ratios prior to the COVID-19 pandemic and evaluated by Taylor’s change point analysis. Significant improvements were defined as shifts (change points), trends (5 or more consecutive values above/below the mean), and values outside 95% CIs. RESULTS The 124 optimizations were categorized as 43 accommodations, 13 creations, 54 discoveries, and 14 modifications. Productivity ratios of monthly charges (0.74 to 1.28) and payments (0.83 to 1.58) significantly improved with the optimization efforts. Monthly visit ratios increased (0.65 to 0.98) but did not change significantly. CONCLUSION Departmental collaboration with organizational IT for EHR optimization focused on detailed analysis of how workflows can impact productivity. Discovery optimization predominance indicates many solutions to EHR usability problems were already in the system. A large proportion of accommodation optimizations reinforced the need for better developer-user collaboration before implementation. [ABSTRACT FROM AUTHOR]

Factors allowing rural, community-dwelling 80+ year-olds to thrive remain unexplored. Isolation can impact this vulnerable population. In this study, patients were prospectively surveyed for age, gender, cohabitation (self, spouse, family) and location (suburban, rural, and isolated). Mini-nutritional assessment short form (MNA-SF) and BMI were obtained. A p < 0.05 represented statistical significance. Patients (n = 167) were mostly female (120; 71.9%) with an average overweight BMI (26.5) and low-normal MNA-SF scores (11.8). Most live alone (49.7%), followed by spousal (31.7%) and family (18.6%) cohabitation. Over 80% are rural (71) or rural-isolated (67), and of these, 83% had normal nutrition. Self-habitation correlated with lower MNA-SF scores (p = 0.02). Normal BMIs correlated with family cohabitation (OR = 0.90 [CI: 0.82-0.99]) and nourished MNA-SF scores with spousal cohabitation (OR = 1.69; CI: 1.15-2.47) rather than living alone. Self-habitation increases vulnerability to obesity and malnutrition. Interventions should aim to maintain independence while improving the effects of habitation on nutrition. [ABSTRACT FROM AUTHOR]