Ambulatory Care Fragmentation and Total Health Care Costs.

BACKGROUND: The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE: To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN: Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES: We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS: The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS: Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.

Ambulatory Care Fragmentation, Emergency Department Visits, and Race: a Nationwide Cohort Study in the U.S.

BACKGROUND: It is unclear whether highly fragmented ambulatory care (i.e., care spread across multiple providers without a dominant provider) increases the risk of an emergency department (ED) visit. Whether any such association varies with race is unknown. OBJECTIVE: We sought to determine whether highly fragmented ambulatory care increases the risk of an ED visit, overall and by race. DESIGN AND PARTICIPANTS: We analyzed data for 14,361 participants ≥ 65 years old from the nationwide prospective REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study, linked to Medicare claims (2003-2016). MAIN MEASURES: We defined high fragmentation as a reversed Bice-Boxerman Index ≥ 0.85 (≥ 75th percentile). We used Poisson models to determine the association between fragmentation (as a time-varying exposure) and ED visits, overall and stratified by race, adjusting for demographics, medical conditions, medications, health behaviors, psychosocial variables, and physiologic variables. KEY RESULTS: The average participant was 70.5 years old; 53% were female, and 33% were Black individuals. Participants with high fragmentation had a median of 9 visits to 6 providers, with 29% of visits by the most frequently seen provider; participants with low fragmentation had a median of 7 visits to 3 providers, with 50% of visits by the most frequently seen provider. Overall, high fragmentation was associated with more ED visits than low fragmentation (adjusted risk ratio [aRR] 1.31, 95% confidence interval [CI] 1.29, 1.34). The magnitude of this association was larger among Black (aRR 1.48, 95% CI 1.44, 1.53) than White participants (aRR 1.23, 95% CI 1.20, 1.25). CONCLUSIONS: Highly fragmented ambulatory care was an independent predictor of ED visits, especially among Black individuals.

Allostatic load and incident heart failure in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

BACKGROUND: Allostatic load (AL) is the physiologic "wear and tear" on the body from stress. Yet, despite stress being implicated in the development heart failure (HF), it is unknown whether AL is associated with incident HF events. METHODS: We examined 16,765 participants without HF at baseline from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. The main exposure was AL score quartile. AL was determined according to 11 physiologic parameters, whereby each parameter was assigned points (0-3) based on quartiles within the sample, and points were summed to create a total AL score ranging from 0-33. The outcome was incident HF event. We examined the association between AL quartile (Q1-Q4) and incident HF events using Cox proportional hazards models, adjusted for demographics, socioeconomic factors, and lifestyle. RESULTS: The mean age was 64 ± 9.6 years, 61.5% were women, and 38.7% were Black participants. Over a median follow up of 11.4 years, we observed 750 incident HF events (635 HF hospitalizations and 115 HF deaths). Compared to the lowest AL quartile (Q1), the fully adjusted hazards of an incident HF event increased in a graded fashion: Q2 HR 1.49 95% CI 1.12-1.98; Q3 HR 2.47 95% CI 1.89-3.23; Q4 HR 4.28 95% CI 3.28-5.59. The HRs for incident HF event in the fully adjusted model that also adjusted for CAD were attenuated, but remained significant and increased in a similar, graded fashion by AL quartile. There was a significant age interaction (p-for-interaction < 0.001), whereby the associations were observed across each age stratum, but the HRs were highest among those aged < 65 years. CONCLUSION: AL was associated with incident HF events, suggesting that AL could be an important risk factor and potential target for future interventions to prevent HF.

Association of Perceived Stress With Incident Heart Failure.

BACKGROUND: The relationship between psychological stress and heart failure (HF) has not been well studied. We sought to assess the relationship between perceived stress and incident HF. METHODS: We used data from the national REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a large prospective biracial cohort study that enrolled community-dwellers aged 45 years and older between 2003 and 2007, with follow-up. We included participants free of suspected prevalent HF who completed the Cohen 4-item Perceived Stress Scale (PSS-4). Our outcome variables were incident HF event, HF with reduced ejection fraction events, and HF with preserved ejection fraction events. We estimated Cox proportional hazard models to determine if PSS-4 quartiles were independently associated with incident HF events, adjusting for sociodemographics, social support, unhealthy behaviors, comorbid conditions, and physiologic parameters. We also tested interactions by baseline statin use, given its anti-inflammatory properties. RESULTS: Among 25,785 participants with a mean age of 64 ± 9.3 years, 55% were female and 40% were Black. Over a median follow-up of 10.1 years, 1109 ± 4.3% experienced an incident HF event. In fully adjusted models, the PSS-4 was not associated with HF or HF with reduced ejection fraction. However, PSS-4 quartiles 2-4 (compared with the lowest quartile) were associated with incident HF with preserved ejection fraction (Q2 hazard ratio 1.37, 95% confidence interval 1.00-1.88; Q3 hazard ratio 1.42, 95% confidence interval 1.03-1.95; Q4 hazard ratio 1.41, 95% confidence interval 1.04-1.92). Notably, this association was attenuated among participants who took a statin at baseline (P for interaction = .07). CONCLUSIONS: Elevated perceived stress was associated with incident HF with preserved ejection fraction but not HF with reduced ejection fraction.

Prescriptions for Potentially Inappropriate Medications from the Beers Criteria Among Older Adults Hospitalized for Heart Failure.

BACKGROUND: We sought to better understand patterns of potentially inappropriate medications (PIMs) from the Beers criteria among older adults hospitalized with heart failure (HF). This observational study of hospitalizations was derived from the geographically diverse REasons for Geographic and Racial Differences in Stroke cohort. METHODS AND RESULTS: We examined participants aged 65 years and older with an expert-adjudicated hospitalization for HF. The Beers criteria medications were abstracted from medical records. The prevalence of PIMs was 61.1% at admission and 64.0% at discharge. Participants were taking a median of 1 PIM (interquartile range [IQR] 0-1 PIM) at hospital admission and a median of 1 PIM (IQR 0-2 PIM) at hospital discharge. Between admission and discharge, 19.1% of patients experienced an increase in the number of PIMs, 15.1% experienced a decrease, and 37% remained on the same number between hospital admission and discharge. The medications with the greatest increase from admission to discharge were proton pump inhibitors (32.6% to 38.6%) and amiodarone (6.2% to 12.2%). The strongest determinant of potentially harmful prescribing patterns was polypharmacy (relative risk 1.34, 95% confidence interval 1.16-1.55, P < .001). CONCLUSIONS: PIMs are common among older adults hospitalized for HF and may be an important target to improve outcomes in this vulnerable population.

Individual and Neighborhood Influences on the Relationship Between Waist Circumference and Coronary Heart Disease in the REasons for Geographic and Racial Differences in Stroke Study.

INTRODUCTION: The objective of this study was to describe how the relationship between waist circumference and incident coronary heart disease (CHD) is influenced by individual and neighborhood factors in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. METHODS: REGARDS is a cohort study of 30,239 US adults. The primary exposure was sex-specific quartiles of waist circumference. Individual covariates included sociodemographic characteristics, health status, health behavior, and usual source of care. Neighborhood (ie, zip code-level) covariates included access to primary care, poverty, rurality, and racial segregation. The main outcome was incident CHD from baseline (2003) through 2017. We used descriptive statistics, Kaplan-Meier curves, and Cox proportional hazard models to analyze the overall sample and race-sex subgroups. RESULTS: During the study period, 23,042 study participants had 1,499 CHD events. We found a higher risk of incident CHD in the upper quartile of waist circumference compared with the first quartile in all 4 race-sex subgroups except African American men, among whom we found no relationship between waist circumference and incident CHD. Covariates did not attenuate these relationships. CONCLUSION: In all groups except African American men, waist circumference in the highest quartile was associated with increased risk of incident CHD. Individual and neighborhood factors did not influence the relationship between waist circumference and development of CHD but differentially influenced incident CHD among race-sex subgroups.

The Influence of Preparedness, Mutuality, and Self-efficacy on Home Care Workers' Contribution to Self-care in Heart Failure: A Structural Equation Modeling Analysis.

BACKGROUND: Home care workers (HCWs) are increasingly caring for patients with heart failure (HF). Previous studies have shown that they contribute to HF patients' care, but how their preparedness and their relationship with patients (mutuality) influence caregiving is unknown, as well as the role of HCWs' self-efficacy. OBJECTIVE: Guided by the Situation-Specific Theory of Caregiver Contribution to HF Self-Care, we investigated the influence of HCWs' preparedness and mutuality on HCWs' contribution to HF self-care and the mediating effect of HCWs' self-efficacy in the process. METHODS: We conducted a cross-sectional survey of HCWs who cared for patients with HF. The survey included the Caregiver Preparedness Scale, Mutuality Scale, Caregiver Contribution to Self-Care of HF Index, and Caregiver Self-Efficacy in Contributing to Self-Care Scale. We performed structural equation modeling and a mediation analysis. RESULTS: A total of 317 HCWs employed by 22 unique home care agencies across New York, NY, completed the survey. They had a median age of 50 years, 94% were women, and 44% were non-Hispanic Black. Results demonstrated that mutuality had a direct influence on HCW contribution to self-care and preparedness influenced their contribution to self-care, but only through the mediation of self-efficacy. CONCLUSION: Home care workers' preparedness, mutuality, and self-efficacy have important roles in influencing their contribution to HF self-care. As a workforce increasingly involved in the care of patients with HF, knowing the mechanisms underpinning HCWs' contribution to self-care may illuminate future interventions aimed at improving their contributions and HF patient outcomes.

The Dietary Approaches to Stop Hypertension (DASH) Diet Pattern and Incident Heart Failure.

BACKGROUND: The Dietary Approaches to Stop Hypertension (DASH) diet pattern has shown some promise for preventing heart failure (HF), but studies have been conflicting. OBJECTIVE: To determine whether the DASH diet pattern was associated with incident HF in a large biracial and geographically diverse population. METHODS AND RESULTS: Among participants in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort study of adults aged ≥45 years who were free of suspected HF at baseline in 2003-2007, the DASH diet score was derived from the baseline food frequency questionnaire. The main outcome was incident HF defined as the first adjudicated HF hospitalization or HF death through December 31, 2016. We estimated hazard ratios for the associations of DASH diet score quartiles with incident HF, and incident HF with reduced ejection fraction and HF with preserved ejection fraction using the Lunn-McNeil extension to the Cox model. We tested for several prespecified interactions, including with age. Compared with the lowest quartile, individuals in the second to fourth DASH diet score quartiles had a lower risk for incident HF after adjustment for sociodemographic and health characteristics: quartile 2 hazard ratio, 0.69 (95% confidence interval [CI], 0.56-0.85); quartile 3 hazard ratio, 0.71 (95% CI, 0.58-0.87); and quartile 4 hazard ratio, 0.73 (95% CI, 0.58-0.92). When stratifying results by age, quartiles 2-4 had a lower hazard for incident HF among those age <65 years, quartiles 3-4 had a lower hazard among those age 65-74, and the quartiles had similar hazard among those age ≥75 years (Pinteraction = .003). We did not find a difference in the association of DASH diet with incident HF with reduced ejection fraction vs HF with preserved ejection fraction (P = .11). CONCLUSIONS: DASH diet adherence was inversely associated with incident HF, specifically among individuals <75 years old.

Ambulatory Care Fragmentation and Subsequent Hospitalization: Evidence From the REGARDS Study.

BACKGROUND: Previous studies have suggested that highly fragmented ambulatory care increases the risk of subsequent hospitalization, but those studies used claims only and were not able to adjust for many clinical potential confounders. OBJECTIVE: The objective of this study was to determine the association between fragmented ambulatory care and subsequent hospitalization, adjusting for demographics, medical conditions, medications, health behaviors, psychosocial variables, and physiological variables. DESIGN: Longitudinal analysis of data (2003-2016) from the nationwide REasons for Geographic And Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 12,693 Medicare beneficiaries 65 years and older from the REGARDS study who had at least 4 ambulatory visits in the first year of observation and did not have a hospitalization in the prior year. MEASURES: We defined high fragmentation as a reversed Bice-Boxerman score above the 75th percentile. We used Cox proportional hazards models to determine the association between fragmentation as a time-varying exposure and incident hospitalization in the 3 months following each exposure period. RESULTS: The mean age was 70.4 years; 54% were women, and 33% were African American. During the first year of observation, participants with high fragmentation had a median of 8 ambulatory visits with 6 providers, whereas participants with low fragmentation had a median of 7 visits with 3 providers. Over 11.8 years of follow-up, 6947 participants (55%) had a hospitalization. High fragmentation was associated with an increased hazard of hospitalization (adjusted hazard ratio=1.18; 95% confidence interval: 1.12, 1.24). CONCLUSION: Highly fragmented ambulatory care is an independent risk factor for hospitalization.

Healthcare Fragmentation and Incident Acute Coronary Heart Disease Events: a Cohort Study.

BACKGROUND: Highly fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with excess tests, procedures, emergency department visits, and hospitalizations. Whether fragmented care is associated with worse health outcomes, or whether any association varies with health status, is unclear. OBJECTIVE: To determine whether fragmented care is associated with the risk of incident coronary heart disease (CHD) events, overall and stratified by self-rated general health. DESIGN AND PARTICIPANTS: We conducted a secondary analysis of the nationwide prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study (2003-2016). We included participants who were ≥ 65 years old, had linked Medicare fee-for-service claims, and had no history of CHD (N = 10,556). MAIN MEASURES: We measured fragmentation with the reversed Bice-Boxerman Index. We used Cox proportional hazards models to determine the association between fragmentation as a time-varying exposure and adjudicated incident CHD events in the 3 months following each exposure period. KEY RESULTS: The mean age was 70 years; 57% were women, and 34% were African-American. Over 11.8 years of follow-up, 569 participants had CHD events. Overall, the adjusted hazard ratio (HR) for the association between high fragmentation and incident CHD events was 1.14 (95% confidence interval (CI) 0.92, 1.39). Among those with very good or good self-rated health, high fragmentation was associated with an increased hazard of CHD events (adjusted HR 1.35; 95% CI 1.06, 1.73; p = 0.01). Among those with fair or poor self-rated health, high fragmentation was associated with a trend toward a decreased hazard of CHD events (adjusted HR 0.54; 95% CI 0.29, 1.01; p = 0.052). There was no association among those with excellent self-rated health. CONCLUSION: High fragmentation was associated with an increased independent risk of incident CHD events among those with very good or good self-rated health.

Prevalence and Predictors of Home Health Care Workers' General, Physical, and Mental Health: Findings From the 2014‒2018 Behavioral Risk Factor Surveillance System.

Objectives. To determine the prevalence and predictors of US home health care workers' (HHWs') self-reported general, physical, and mental health. Methods. Using the 2014-2018 Behavioral Risk Factor Surveillance System, we analyzed the characteristics and health of 2987 HHWs (weighted n = 659 000) compared with 2 similar low-wage worker groups (health care aides and health care support workers, not working in the home). We conducted multivariable logistic regression to determine which characteristics predicted HHWs' health. Results. Overall, 26.6% of HHWs had fair or poor general health, 14.1% had poor physical health, and 20.9% had poor mental health; the prevalence of each outcome was significantly higher than that of the comparison groups. Among HHWs, certain factors, such as low household income, an inability to see a doctor because of cost, and a history of depression, were associated with all 3 aspects of suboptimal health. Conclusions. HHWs had worse general, physical, and mental health compared with low-wage workers not in home health. Public Health Implications. Increased attention to the health of HHWs by public health experts and policymakers is warranted. In addition, targeted interventions appropriate to their specific health needs may be required. (Am J Public Health. 2021;111(12):2239-2250. https://doi.org/10.2105/AJPH.2021.306512).

Differences in ambulatory care fragmentation by race.

BACKGROUND: More fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with more subsequent healthcare utilization (such as more tests, procedures, emergency department visits, and hospitalizations) than less fragmented ambulatory care. It is not known if race and socioeconomic status are associated with fragmented ambulatory care. METHODS: We conducted a longitudinal analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, using the REGARDS baseline visit plus the first year of follow-up. We included participants ≥65 years old, who had linked fee-for-service Medicare claims, and ≥ 4 ambulatory visits in the first year of follow-up. We used Tobit regression to determine the associations between race, annual household income, and educational attainment at baseline and fragmentation score in the subsequent year (as measured with the reversed Bice-Boxerman Index). Covariates included other demographic characteristics, medical conditions, medication use, health behaviors, and psychosocial variables. Additional analyses categorized visits by the type of provider (primary care vs. specialist). RESULTS: The study participants (N = 6799) had an average age of 73.0 years, 53% were female, and 30% were black. Nearly half had low annual household income (<$35,000) and 41% had a high school education or less. Overall, participants had a median of 10 ambulatory visits to 4 providers in the 12 months following their baseline study visit. Participants in the highest quintile of fragmentation scores had a median of 11 visits to 7 providers. Black race was associated with an absolute adjusted 3% lower fragmentation score compared to white race (95% confidence interval (2% lower to 4% lower; p < 0.001). This difference was explained by blacks seeing fewer specialists than whites. Income and education were not independent predictors of fragmentation scores. CONCLUSIONS: Among Medicare beneficiaries, blacks had less fragmented ambulatory care than whites, due to lower utilization of specialty care. Future research is needed to determine the effect of fragmented care on health outcomes for blacks and whites.

Impact of gaps in care for malnourished patients on length of stay and hospital readmission.

BACKGROUND: Few published articles have focused on identifying the gaps in care that follow a malnutrition diagnosis and their effects on length of stay (LOS) and 90-day readmission. We hypothesized that length of stay and readmission were associated with these gaps in care. METHODS: Two registered dietitians retrospectively reviewed charts of 229 adult malnourished patients admitted to a medicine unit to determine their system level gap in care: communication, test delay, or discharge planning. In this secondary analysis, both readmission and length of stay were regressed on each gap in care. RESULTS: Any system level gap was associated with a greater length of stay (ß: 1.48, 95% CI: 1.15-1.91) and specifically the gap related to procedure/testing (ß: 2.01, 95% CI: 1.62-2.47) resulted in a two-fold increase in length of stay. There was no association between 90-day readmission and any of the gaps in care. CONCLUSIONS: There was a strong association between those who had any gap in their care and increased length of stay. Mitigating gaps in care may decrease length of stay and, in turn, result in less risk of infection and could potentially lead to reduced healthcare costs.

Development and validation of mortality prediction models based on the social determinants of health.

BACKGROUND: There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification. METHODS: Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited between 2003 and 2007. Analysis was limited to participants with available SDoH and mortality data (n=20 843). All-cause mortality, available through 31 December 2018, was modelled using Cox proportional hazards with baseline individual, area-level and business-level SDoH as predictors. The area-level Social Vulnerability Index (SVI) was included for comparison. All models were adjusted for age, sex and sampling region and underwent internal split-sample validation. RESULTS: The baseline prediction model including only age, sex and REGARDS sampling region had a c-statistic of 0.699. An individual-level SDoH model (Model 1) had a higher c-statistic than the SVI (0.723 vs 0.708, p<0.001) in the testing set. Sequentially adding area-level SDoH (c-statistic 0.723) and business-level SDoH (c-statistics 0.723) to Model 1 had minimal improvement in model discrimination. Structural racism variables were associated with all-cause mortality for black participants but did not improve model discrimination compared with Model 1 (p=0.175). CONCLUSION: In conclusion, SDoH can improve mortality prediction over 10 years relative to a baseline model and have the potential to identify high-risk patients for further evaluation or intervention if validated externally.

Having a Say in Patient Care: Factors Associated with High and Low Voice among Home Care Workers.

OBJECTIVES: To identify factors associated with high and low "voice"-or level of input in patient care decisions-among home care workers (HCWs), an often marginalized workforce that provides care in the home to older adults and those with chronic conditions. DESIGN: We conducted a secondary analysis of data from a cross-sectional survey assessing experiences of HCWs in caring for adults with heart failure. The survey measured HCWs' voice using a validated, 5-item instrument. SETTING AND PARTICIPANTS: The survey was conducted virtually from June 2020 to July 2021 in partnership with the 1199 Service Employees International Union (1199SEIU) Training and Employment Funds, a union labor management fund. English- or Spanish-speaking HCWs employed by a certified or licensed home care agency in New York, NY, were eligible. METHODS: HCW voice was the main outcome of interest, which we assessed by tertiles (low, medium, and high, with medium as the referent group). Using multinominal logistic regression, we calculated odds ratios (ORs) and 95% CIs for the relationship between participant characteristics and low and high levels of voice. RESULTS: The 261 HCWs had a mean age of 48.4 years (SD 11.9), 96.6% were female, and 44.2% identified as Hispanic. A total of 38.7% had low voice, 37.9% had medium voice, and 23.4% had high voice. In the adjusted model, factors associated with low voice included Spanish as a primary language (OR 3.71, P = .001), depersonalization-related burnout (OR 1.14, P = .04), and knowing which doctor to call (OR 0.19, P < .001). Factors associated with high voice included Spanish as a primary language (OR 2.61, P = .04) and job satisfaction (OR 1.22, P = .001). CONCLUSIONS AND IMPLICATIONS: Organizational factors such as team communication practices-including among non-English speakers-may play an important role in HCW voice. Improving HCW voice may help retain HCWs in the workforce, but future research is needed to evaluate this.

Leveraging home health aides to improve outcomes in heart failure: A pilot study protocol.

Heart failure (HF) affects six million people in the U.S., is associated with high morbidity, mortality, and healthcare utilization.(1, 2) Despite a decade of innovation, the majority of interventions aimed at reducing hospitalization and readmissions in HF have not been successful.(3-7) One reason may be that most have overlooked the role of home health aides and attendants (HHAs), who are often highly involved in HF care.(8-13) Despite their contributions, studies have found that HHAs lack specific HF training and have difficulty reaching their nursing supervisors when they need urgent help with their patients. Here we describe the protocol for a pilot randomized control trial (pRCT) assessing a novel stakeholder-engaged intervention that provides HHAs with a) HF training (enhanced usual care arm) and b) HF training plus a mobile health application that allows them to chat with a nurse in real-time (intervention arm). In collaboration with the VNS Health of New York, NY, we will conduct a single-site parallel arm pRCT with 104 participants (HHAs) to evaluate the feasibility, acceptability, and effectiveness (primary outcomes: HF knowledge; HF caregiving self-efficacy) of the intervention among HHAs caring for HF patients. We hypothesize that educating and better integrating HHAs into the care team can improve their ability to provide support for patients and outcomes for HF patients as well (exploratory outcomes include hospitalization, emergency department visits, and readmission). This study offers a novel and potentially scalable way to leverage the HHA workforce and improve the outcomes of the patients for whom they care. Clinical trial.gov registration: NCT04239911.

Mental Health and Well-Being Among Home Health Aides.

Importance: Home health aides and attendants (HHAs) provide essential care to older adults and those with chronic conditions in the home. However, some HHAs struggle with poor mood and stress, which may have been exacerbated by the COVID-19 pandemic. Objective: To elicit HHAs' perspectives toward mental health and well-being, including how their job influences both and how to better support the workforce in the future. Design, Setting, and Participants: For this qualitative study, focus groups and interviews with HHAs were facilitated in English and Spanish from August 17, 2022, to February 9, 2023, in partnership with the 1199SEIU Training and Employment Fund, a benefit fund of the 1199SEIU United Healthcare Workers East and the largest health care union in the US. Included were HHAs at risk for poor mental health and well-being, which were defined as having at least mild or more symptoms on either the 8-item Personal Health Questionnaire depression scale, the 4-item Cohen Perceived Stress Scale, or the University of California, Los Angeles Loneliness Scale. Exposure: Mental health and well-being of HHAs. Main Outcomes and Measures: Focus groups and interviews were audio recorded, professionally transcribed, and translated. A thematic analysis was performed that was informed by Pender's Health Promotion Model and the National Institute for Occupational Safety and Health's Total Worker Health model. Results: A total of 28 HHAs from 14 different agencies participated (mean [SD] age, 54.3 [10.8] years; 26 female [93%]). Seventeen participants (61%) spoke Spanish at home. Five key themes emerged: (1) HHAs' attitudes toward mental health and well-being were influenced by a variety of personal and cultural factors; (2) HHAs' relationships with their patients impacted their mood in both positive and negative ways; (3) structural and organizational aspects of the job, alongside the COVID-19 pandemic, impacted HHAs' mood and stress levels; (4) HHAs used a variety of strategies to cope with their emotions; and (5) HHAs were eager for interventions that can improve their mood, particularly those that bring them closer to their colleagues. Conclusions and Relevance: These findings suggest that HHAs' mental health and well-being may be influenced by both personal and occupational factors. Interventions and policies to better support their emotional well-being on the job are warranted.

Better Preparation and Training Determine Home Care Workers' Self-Efficacy in Contributing to Heart Failure Self-Care.

OBJECTIVE: Identify determinants of home care workers' (HCW) self-efficacy in contributing to heart failure (HF) self-care. METHODS: Secondary analysis of a survey (n = 328) examining characteristics of HCWs caring for adults with HF in New York. Self-efficacy assessed using Caregiver Self-Efficacy in Contributing to Self-Care Scale. Standardized scores range 0-100; ≥ 70 points indicate adequate self-efficacy. Characteristics determined by self-efficacy (low vs. adequate). Prevalence ratios with 95% confidence intervals (PR [95% CI]) were estimated using multivariable Poisson regression with robust standard errors. RESULTS: Home care workers with adequate self-efficacy had at least some prior HF training (55% vs. 17%, p < .001) and greater job satisfaction (90% vs. 77%, p = .003). Significant determinants for adequate self-efficacy were employment length (1.02 [1.00-1.03], p = .027), preparation for caregiving (3.10 [2.42-3.96], p < .001), and HF training (1.48 [1.20-1.84], p < .001). CONCLUSION: Home care agencies and policy-makers can target caregiving preparation and HF training to improve HCWs' confidence in caring for adult HF patients.