Perspectives on supporting Veterans' social needs during hospital to home health transitions: findings from the Transitions Nurse Program.

BACKGROUND: Veterans who need post-acute home health care (HHC) are at risk for adverse outcomes and unmet social needs. Veterans' social needs could be identified and met by community-based HHC clinicians due to their unique perspective from the home environment, acuity of Veterans they serve, and access to Veterans receiving community care. To understand these needs, we explored clinician, Veteran, and care partner perspectives to understand Veterans' social needs during the transition from hospital to home with skilled HHC. METHODS: Qualitative data were collected through individual interviews with Veterans Health Administration (VHA) inpatient & community HHC clinicians, Veterans, and care partners who have significant roles facilitating Veterans' hospital to home with HHC transition. To inform implementation of a care coordination quality improvement intervention, participants were asked about VHA and HHC care coordination and Veterans' social needs during these transitions. Interviews were recorded, transcribed, and analyzed inductively using thematic analysis and results were organized deductively according to relevant transitional care domains (Discharge Planning, Transition to Home, and HHC Delivery). RESULTS: We conducted 35 interviews at 4 VHA Medical Centers located in Western, Midwestern, and Southern U.S. regions during March 2021 through July 2022. We organized results by the three care transition domains and related themes by VHA, HHC, or Veteran/care partner perspective. Our themes included (1) how social needs affected access to HHC, (2) the need for social needs screening during hospitalization, (3) delays in HHC for Veterans discharged from community hospitals, and (4) a need for closed-loop communication between VHA and HHC to report social needs. CONCLUSIONS: HHC is an underexplored space for Veterans social needs detection. While this research is preliminary, we recommend two steps forward from this work: (1) develop closed-loop communication and education pathways with HHC and (2) develop a partnership to integrate a social risk screener into HHC pathways.

Effect of the Nurse Work Environment on Older Hispanic Surgical Patient Readmissions.

BACKGROUND: Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care. OBJECTIVES: The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients. METHODS: Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days). RESULTS: In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts. DISCUSSION: System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study's findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.

Transitional care innovation for Medicaid-insured individuals: early findings.

BACKGROUND: Chronically ill adults insured by Medicaid experience health inequities following hospitalisation. LOCAL PROBLEM: Postacute outcomes, including rates of 30-day readmissions and postacute emergency department (ED), were higher among Medicaid-insured individuals compared with commercially insured individuals and social needs were inconsistently addressed. METHODS: An interdisciplinary team introduced a clinical pathway called 'THRIVE' to provide postacute wrap-around services for individuals insured by Medicaid. INTERVENTION: Enrolment into the THRIVE clinical pathway occurred during hospitalisation and multidisciplinary services were deployed into homes within 48 hours of discharge to address clinical and social needs. RESULTS: Compared with those not enrolled in THRIVE (n=437), individuals who participated in the THRIVE clinical pathway (n=42) experienced fewer readmissions (14.3% vs 28.4%) and ED visits (14.3% vs 28.8 %). CONCLUSION: THRIVE is a promising clinical pathway that increases access to ambulatory care after discharge and may reduce readmissions and ED visits.

The Association of Hospital Magnet® Status and Pay-for-Performance Penalties.

The Centers for Medicare and Medicaid Services' Pay-for-Performance (P4P) programs aim to improve hospital care through financial incentives for care quality and patient outcomes. Magnet® recognition-a potential pathway for improving nurse work environments-is associated with better patient outcomes and P4P program scores, but whether these indicators of higher quality are substantial enough to avoid penalties and thereby impact hospital reimbursements is unknown. This cross-sectional study used a national sample of 2,860 hospitals to examine the relationship between hospital Magnet® status and P4P penalties under P4P programs: Hospital Readmission Reduction Program, Hospital-Acquired Conditions (HAC) Reduction Program, Hospital Value-Based Purchasing (VBP) Program. Magnet® hospitals were matched 1:1 with non-Magnet hospitals accounting for 13 organizational characteristics including hospital size and location. Post-match logistic regression models were used to compute a hospital's odds of penalties. In a national sample of hospitals, 77% of hospitals experienced P4P penalties. Magnet® hospitals were less likely to be penalized in the VBP program compared to their matched non-Magnet counterparts (40% vs. 48%). Magnet® status was associated with 30% lower odds of VBP penalties relative to non-Magnet hospitals. Lower P4P program penalties is one benefit associated with achieving Magnet® status or otherwise maintaining high-quality nurse work environments.

Sociodemographic Indicators of Social Position and Self-care Maintenance in Adults with Heart Failure.

Social determinants of health (SDH) are known to influence health. Adequate self-care maintenance improves heart failure (HF) outcomes. However, the relationship between self-care maintenance and SDH remains unclear. Explore the relationship between sociodemographic indicators of social position and self-care maintenance in adults with HF. This was a secondary analysis of data from a cross-sectional descriptive study of 543 adults with HF. Participants completed the Self-Care of HF Index and a sociodemographic survey. We used multiple regression with backward elimination to determine which SDH variables were determinants of self-care maintenance. Marital status (p = .02) and race (p = .02) were significant determinants of self-care maintenance. Education (p = .06) was highest in Whites (35.6%). These variables explained only 3.8% of the variance in self-care maintenance. Race, education, and marital status were associated with HF self-care maintenance. SDH is complex and cannot be explained with simple sociodemographic characteristics.

Cross-cultural assessment of the Self-Care of Chronic Illness Inventory: A psychometric evaluation.

BACKGROUND: Self-care refers to behaviors that individuals adopt to prevent or maintain the stability of an illness (self-care maintenance), to monitor signs and symptoms (self-care monitoring), and to respond to signs and symptoms of an illness exacerbation (self-care management). A generic measure of self-care, the Self-Care of Chronic Illness Inventory, based on the Theory of Self-Care of Chronic Illness, was developed for use in individuals with any number and type of chronic conditions. OBJECTIVE: The current study investigated the measurement equivalence of the Self-Care of Chronic Illness Inventory in individuals from three different cultural groups. We were interested in determining if Italians, Swedes, and Americans interpret the measure in a conceptually similar way. METHODS: This cross-sectional study enrolled 1629 patients, 784 recruited in Italy, 438 in Sweden and 407 in the United States. Self-care (self-care maintenance, self-care monitoring and self-care management) was measured with the Self-Care of Chronic Illness Inventory. A multi-group confirmatory factor analytic approach was used to assess the equivalence of the measures across the three countries. Configural, metric, scalar and strict invariance were tested through a series of nested models where increasingly stringent equality constraints were posited. RESULTS: Participants were mostly males (56.3%), older adults (69.8%) and had at least two chronic conditions. Results indicated that three out of four measurement equivalence levels were partially or totally supported in all three of the Self-Care of Chronic Illness Inventory scales. The partial scalar invariance level was reached for self-care maintenance [χ2(50) = 63.495, p = 0.095; RMSEA = 0.022, p = 0.999, 90% CI = 0.000 0.038; CFI = 0.981; TLI = 0.977; SRMR = 0.036], self-care monitoring [χ2(22) = 28.770, p = 0.095; RMSEA = 0.024, p = 0.978, 90% CI = 0.000 0.046; CFI = 0.996; TLI = 0.995; SRMR = 0.054], and self-care management [χ2(51) = 91.334, p = 0.001; RMSEA = 0.048, p = 0.576, 90% CI = 0.031 0.063; CFI = 0.949; TLI = 0.937; SRMR = 0.047] scales. CONCLUSIONS: These findings suggest that patients in the three countries used an identical cognitive framework or mental model when responding and used the 1-5 Likert response scale in an almost identical way, almost without bias. In spite of sociocultural differences, patients in these countries seem to share the same fundamental view of self-care. The results of the Self-Care of Chronic Illness Inventory will be comparable in these countries.

A behavioral economics-based telehealth intervention to improve aspirin adherence following hospitalization for acute coronary syndrome.

PURPOSE: A significant number of patients with acute coronary syndrome (ACS) are nonadherent to aspirin after hospital discharge, with an associated increased risk of subsequent cardiovascular events. The purpose of this pilot study was to test the efficacy of a telehealth intervention based on behavioral economics to improve aspirin adherence following hospitalization for ACS. METHODS: We enrolled 130 participants (c¯X = 58 ± 10.7 years of age, 38% female, 45% black) from two hospitals. Patients were eligible if they owned a smartphone and were admitted to the hospital for ACS, prescribed aspirin at discharge, and responsible for administering their own medications. Consenting participants were randomized to the intervention or usual care group. The intervention group was eligible to receive up to $50 per month if they took their medicine daily, with $2 per day deducted if a dose was missed. All participants received an electronic monitoring (EM) pill bottle containing a 90-day supply of aspirin, which was used to measure adherence calculated as the proportion of prescribed drug taken using the EM device. Based on the skewness in the adherence distribution, quantile regression was used to evaluate the effect of the intervention on median adherence over time. RESULTS: After 90 days, adherence fell in the control group but remained high in the intervention group (median adherence 81% vs 90%, P = .18). Rehospitalization was higher in the control group (24% vs 13%, P = .17). CONCLUSION: A loss aversion behavioral economics-based telehealth intervention is a promising approach to improving aspirin adherence following hospitalization for ACS.