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.

Trends and site-level variation of novel cardiovascular medication utilization among patients admitted for heart failure or coronary artery disease in the US Veterans Affairs System: 2017-2021.

BACKGROUND: We assessed trends in novel cardiovascular medication utilization in US Veterans Affairs (VA) for angiotensin receptor-neprilysin inhibitors (ARNI), sodium-glucose cotransporter-2 Inhibitors (SGLT2i), and glucagon-like peptide-1 receptor agonists (GLP-1 RA). METHODS: We retrospectively identified cohorts from 114 VA hospitals with admission for prevalent 1) systolic heart failure (HF, N = 82,375) or 2) coronary artery disease and diabetes (CAD+T2D, N = 74,209). Site-level data for prevalent filled prescriptions were assessed at hospital admission, discharge, or within 6 months of discharge. Variability among sites was estimated with median odds ratios (mOR), and within-site Pearson correlations of utilization of each medication class were calculated. Site- and patient-level characteristics were compared by high-, mixed-, and low-utilizing sites. RESULTS: ARNI and SGTL2i use for HF increased from <5% to 20% and 21%, respectively, while SGTL2i or GLP-1 RA use for CAD+T2D increased from <5% to 30% from 2017 to 2021. Adjusted mOR and 95% confidence intervals for ARNI, SGTL2i for HF, and SGTL2i or GLP-1 RA for CAD+T2D were 1.73 (1.64-1.91), 1.72 (1.59-1.81), and 1.53 (1.45-1.62), respectively. Utilization of each medication class correlated poorly with use of other novel classes (Pearson <0.38 for all). Higher patient volume, number of beds, and hospital complexity correlated with high-utilizing sites. CONCLUSIONS: Utilization of novel medications has increased over time but remains suboptimal for US Veterans with HF and CAD+T2D, with substantial site-level heterogeneity despite a universal medication formulary and low out-of-pocket costs for patients. Future work should include further characterization of hospital- and clinician-level practice patterns to serve as targets to increase implementation.

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.

Conducting health services research during the COVID-19 pandemic: experiences from the veterans health administration.

BACKGROUND: Health services researchers within the Veterans Health Administration (VA) seek to improve the delivery of care to the Veteran population, whose medical needs often differ from the general population. The COVID-19 pandemic and restricted access to medical centers and offices forced VA researchers and staff to transition to remote work. This study aimed to characterize the work experience of health service researchers during the COVID-19 pandemic. METHODS: A REDCap survey developed from the management literature was distributed in July 2020 to 800 HSR&D researchers and staff affiliated with VA Centers of Innovation. We requested recipients to forward the survey to VA colleagues. Descriptive analyses and logistic regression modeling were conducted on multiple choice and Likert scaled items. Manifest content analysis was conducted on open-text responses. RESULTS: Responses were received from 473 researchers and staff from 37 VA Medical Centers. About half (48%; n = 228) of VA HSR&D researchers and staff who responded to the survey experienced some interference with their research due to the COVID-19 pandemic, yet 55% (n = 260) reported their programs of research did not slow or stop. Clinician investigators reported significantly greater odds of interference than non-clinician investigators and support staff. The most common barriers to working remotely were loss of face-to-face interactions with colleagues (56%; n = 263) and absence of daily routines (25%; n = 118). Strategies teams used to address COVID-19 related remote work challenges included videoconferencing (79%; n = 375), virtual get-togethers (48%; n = 225), altered timelines (42%; n = 199), daily email updates (30%; n = 143) and virtual team huddles (16%; n = 74). Pre-pandemic VA information technology structures along with systems created to support multidisciplinary research teams working across a national healthcare system maintained and enhanced staff engagement and well-being. CONCLUSIONS: This study identifies how the VA structures and systems put in place prior to the COVID-19 pandemic to support a dispersed workforce enabled the continuation of vital scientific research, staff engagement and well-being during a global pandemic. These findings can inform remote work policies and practices for researchers during the current and future crises.

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.

Racial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing.

BACKGROUND: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. OBJECTIVES: The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. METHODS: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients. RESULTS: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients' disparities were no longer significant. DISCUSSION: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.

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.

Comparing medication adherence using a smartphone application and electronic monitoring among patients with acute coronary syndrome.

AIM: The purpose of this study was to determine the extent of agreement between adherence measures obtained using two technological interventions, electronic monitoring (EM) and a smartphone application (App). BACKGROUND: Clinicians, patients, and researchers depend on valid measurements of medication adherence to inform the delivery of preemptive care when needed. Technology is routinely used for monitoring medication adherence in both clinical practice and research, yet there is a dearth of research comparing novel App based approaches to traditional approaches used for assessing medication adherence. METHODS: Adherence rates were captured on both the EM and the App for 3697 daily observations from 44 participants with acute coronary syndrome over 90 days immediately following discharge from acute care. For EM, adherence was measured using EM equipped pill bottles. For the App, adherence was measured by having participants upload daily photos to the App prior to taking their daily aspirin. Agreement was assessed using a Bland-Altman analysis. RESULTS: The mean adherence rate was higher on the App, 92%, than the EM, 78% (p < 0.001). The mean difference in adherence rates between these methods was 14% (95% Confidence Interval: -23%, -5%). CONCLUSIONS: These findings illustrate a lack of agreement between technological interventions used for measuring adherence in cardiovascular patient populations, with higher adherence rates observed with the App compared to EM. These findings are salient given the increased reliance on telehealth due to the ongoing COVID-19 pandemic.

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.

Supportive Clinical Practice Environments Associated With Patient-Centered Care.

A lack of organizational supports in clinical settings may prevent nurse practitioners from providing patient centered care. Using a cross sectional survey design, data were collected from NPs in 1,571 practices across four states to investigate clinical practice environments and the extent to which they are associated with NP integration of patient preferences. Three-quarters of NPs reported frequent integration of patient preferences into clinical care. Overall, 371 practices (23.6%) were classified as good practice environments; the remaining 76.3% were mixed or poor environments. NPs in good environments were significantly more likely to integrate patient preferences (O.R. = 2.3, p <.001).

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.

Shift Workers Have Higher Blood Pressure Medicine Use, But Only When They Are Short Sleepers: A Longitudinal UK Biobank Study.

Background Some, but not all, studies report associations between shift work and hypertension, suggesting that particular subgroups may be at risk. We examined moderating effects of sleep duration and circadian preference on the relationship between shift work and new blood pressure (BP) medicine use at follow-up. Methods and Results Baseline and 5-year follow-up data from the UK Biobank cohort (N=9200) were used to generate logistic regression models for shift workers and nonshift workers. The moderating effects of sleep duration (short ≤6 hours; adequate 7-8 hours; long ≥9 hours) and circadian preference (morning "larks;" intermediate; evening "owls") at baseline were examined with new BP medicine use at follow-up, adjusting for age, sex, race, education, employment, urban/rural, cardiovascular disease family history, depression, alcohol intake, physical activity, diet, smoking, and body mass index. The sample was predominately middle aged (55.3±7.4), female (57.3%), and white (97.9%). Most reported adequate sleep duration (7-8 hours, 73.7%) and were intermediate type (65.3%); 8.0% were shift workers at baseline. Only 6.5% reported new BP medicine use at follow-up. Short sleep duration was a significant moderator of new BP medicine use in shift workers. Among short sleepers, shift workers had a 2.1-fold increased odds of new BP medicine use compared with nonshift workers (odds ratio=2.08, 95% CI=1.21-3.58, P=0.008). In those reporting adequate (odds ratio=0.82, 95% CI=0.54-1.25, P=0.35) and long sleep (odds ratio=0.64, 95% CI=0.11-3.54, P=0.60), this relationship was protective but nonsignificant. Interaction between circadian preference and shift work on BP medicine use was nonsignificant. Conclusions Shift workers with short sleep duration may be at risk for hypertension.

Patterns of adherence to diuretics, dietary sodium and fluid intake recommendations in adults with heart failure.

BACKGROUND: Three behaviors advocated to minimize fluid-related hospitalizations in patients with heart failure (HF) are restricted sodium and fluid intake and consistent oral diuretic use. Adherence to behaviors intended to decrease risk of hospitalization is believed to vary over time, but surprisingly little research has addressed patterns of adherence in HF patients. OBJECTIVE: To describe patterns over time of 3 recommended self-care behaviors (i.e., diet, fluid intake, and diuretic dosing) in adults with HF and to determine how time and behavior influenced adherence rates. METHODS: We enrolled 24 adults hospitalized for a HF exacerbation and discharged on a loop diuretic into a descriptive, longitudinal pilot study. Over 3-months, diuretic use was measured using electronic event monitoring, and participants were telephoned regularly to assess sodium and fluid intake. Data were summarized for each 2-week intervals. RESULTS: The overall adherence rates were 42.4% for low sodium diet, 96.4% for fluid restriction, and 84.7% for the diuretic regimen. Early after hospital discharge, medication adherence was the highest, and dietary adherence was the lowest, but adherence to diet and diuretic use decreased significantly over time. CONCLUSION: Although participants were just discharged from the hospital after an acute exacerbation of HF, all three behavioral patterns decreased markedly over the 3-month follow-up period.

Psychometric Testing of the Revised Self-Care of Heart Failure Index.

BACKGROUND: Self-care is essential in people with chronic heart failure (HF). The process of self-care was refined in the revised situation specific theory of HF self-care, so we updated the instrument measuring self-care to match the updated theory. The aim of this study was to test the psychometric properties of the revised 29-item Self-Care of Heart Failure Index (SCHFI). METHODS: A cross-sectional design was used in the primary psychometric analysis using data collected at 5 sites in the United States. A longitudinal design was used at the site collecting test-retest data. We tested SCHFI validity with confirmatory factor analysis and predictive validity in relation to health-related quality of life. We tested SCHFI reliability with Cronbach α, global reliability index, and test-retest reliability. RESULTS: Participants included 631 adults with HF (mean age, 65 ± 14.3 years; 63% male). A series of confirmatory factor analyses supported the factorial structure of the SCHFI with 3 scales: Self-Care Maintenance (with consulting behavior and dietary behavior dimensions), Symptom Perception (with monitoring behavior and symptom recognition dimensions), and Self-Care Management (with recommended behavior and problem-solving behavior dimensions). Reliability estimates were 0.70 or greater for all scales. Predictive validity was supportive with significant correlations between SCHFI scores and health-related quality-of-life scores. CONCLUSIONS: Our analysis supports validity and reliability of the SCHFI v7.2. It is freely available to users on the website: www.self-care-measures.com.

Development and initial testing of the self-care of chronic illness inventory.

AIM: The aim was to develop and psychometrically test the self-care of chronic illness Inventory, a generic measure of self-care. BACKGROUND: Existing measures of self-care are disease-specific or behaviour-specific; no generic measure of self-care exists. DESIGN: Cross-sectional survey. METHODS: We developed a 20-item self-report instrument based on the Middle Range Theory of Self-Care of Chronic Illness, with three separate scales measuring Self-Care Maintenance, Self-Care Monitoring, and Self-Care Management. Each of the three scales is scored separately and standardized 0-100 with higher scores indicating better self-care. After demonstrating content validity, psychometric testing was conducted in a convenience sample of 407 adults (enrolled from inpatient and outpatient settings at five sites in the United States and ResearchMatch.org). Dimensionality testing with confirmatory factor analysis preceded reliability testing. RESULTS: The Self-Care Maintenance scale (eight items, two dimensions: illness-related and health-promoting behaviour) fit well when tested with a two-factor confirmatory model. The Self-Care Monitoring scale (five items, single factor) fitted well. The Self-Care Management scale (seven items, two factors: autonomous and consulting behaviour), when tested with a two-factor confirmatory model, fitted adequately. A simultaneous confirmatory factor analysis on the combined set of items supported the more general model. CONCLUSION: The self-care of chronic illness inventory is adequate in reliability and validity. We suggest further testing in diverse populations of patients with chronic illnesses.

A mixed methods study of symptom perception in patients with chronic heart failure.

BACKGROUND: Early heart failure (HF) symptoms are frequently unrecognized for reasons that are unclear. We explored symptom perception in patients with chronic HF. METHODS: We enrolled 36 HF out-patients into a longitudinal sequential explanatory mixed methods study. We used objectively measured thoracic fluid accumulation and daily reports of signs and symptoms to evaluate accuracy of detected changes in fluid retention. Patterns of symptom interpretation and response were explored in telephone interviews conducted every 2 weeks for 3-months. RESULTS: In this sample, 44% had a mismatch between objective and subjective fluid retention; younger persons were more likely to have mismatch. In interviews, two patterns were identified: those able to interpret and respond appropriately to symptoms were higher in decision-making skill and the quality of social support received. CONCLUSION: Many HF patients were poor at interpreting and managing their symptoms. These results suggest a subgroup of patients to target for intervention.