Training of Peer Coaches to Assist Individuals with Knee Osteoarthritis Prepare and Recover From Total Knee Replacement.

OBJECTIVE: The objective of this study is to outline the training of peer coaches in the Moving Well intervention, which was designed to reduce anxiety, depression, and pain catastrophizing in patients before and after total knee replacement (TKR). METHODS: Selected peer coaches had a history of knee osteoarthritis (KOA), a TKR of 12 months or more before training, and were 60 or older. Training was primarily conducted virtually, with a later addition of one in-person session. Training centered on developing skills in motivational interviewing (MoI), encompassing techniques like open-ended questions, affirmations, reflective listening, and summarization. It also covered the MoI processes of engagement, focus, evocation, and planning. Coaches were required to discuss at least 90% of session-specific topics, which were monitored using checklists for each certification, and to complete individual MoI training, which was not graded. The evaluation of peer coach training involved surveys and a focus group. RESULTS: Three women and two men, averaging 75 years in age, completed the peer coach training for the Moving Well intervention. An in-person training session was added to address technology and MoI skill concerns, greatly enhancing their grasp of MoI skills and their ability to guide others through the program effectively. Peer coaches stressed the importance of live feedback, in-person training, and incorporating personal experiences into the program content during their training. CONCLUSION: To effectively train older adults as peer coaches for the Moving Well intervention, flexibility in learning formats, personalized guidance, peer support, and regular evaluations were essential in building the necessary MoI competencies to guide research participants in the program.

Associations among claims-based care fragmentation, self-reported gaps in care coordination, and self-reported adverse events.

BACKGROUND: Fragmentation of care (that is, the use of multiple ambulatory providers without a dominant provider) may increase the risk of gaps in communication among providers. However, it is unclear whether people with fragmented care (as measured in claims) perceive more gaps in communication among their providers. It is also unclear whether people who perceive gaps in communication experience them as clinically significant (that is, whether they experience adverse events that they attribute to poor coordination). METHODS: We conducted a longitudinal study using data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, including a survey on perceptions of healthcare (2017-2018) and linked fee-for-service Medicare claims (for the 12 months prior to the survey) (N = 4,296). We estimated correlation coefficients to determine associations between claims-based and self-reported numbers of ambulatory visits and ambulatory providers. We then used logistic regression to determine associations between claims-based fragmentation (measured with the reversed Bice-Boxerman Index [rBBI]) and self-reported gaps in care coordination and, separately, between claims-based fragmentation and self-reported adverse events that the respondent attributed to poor coordination. RESULTS: The correlation coefficient between claims-based and self-report was 0.37 for the number of visits and 0.38 for the number of providers (p < 0.0001 for each). Individuals with high fragmentation by claims (rBBI ≥ 0.85) had a 23% increased adjusted odds of reporting any gap in care coordination (95% CI 3%, 48%) and, separately, a 61% increased adjusted odds of reporting an adverse event that they attributed to poor coordination (95% CI 11%, 134%). CONCLUSIONS: Medicare beneficiaries with claims-based fragmentation also report gaps in communication among their providers. Moreover, these gaps appear to be clinically significant, with beneficiaries reporting adverse events that they attribute to poor coordination.

Race, Social Determinants of Health, and Comorbidity Patterns Among Participants with Heart Failure in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Background: Among individuals with heart failure (HF), racial differences in comorbidities may be mediated by social determinants of health (SDOH). Methods: Black and White US community-dwelling participants in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study aged ≥ 45 years with an adjudicated HF hospitalization between 2003 and 2017 were included in this cross-sectional analysis. We assessed whether higher prevalence of comorbidities in Black participants compared to White participants were mediated by SDOH in socioeconomic, environment/housing, social support, and healthcare access domains, using the inverse odds weighting method. Results: Black (n = 240) compared to White (n = 293) participants with HF with preserved ejection fraction (HFpEF) had higher prevalence of diabetes [1.38 (95% CI: 1.18 - 1.61)], chronic kidney disease [1.21 (95% CI: 1.01 - 1.45)], and anemia [1.33 (95% CI: 1.02 - 1.75)] and lower prevalence of atrial fibrillation [0.80 (95% CI: (0.65 - 0.98)]. Black (n = 314) compared to White (n = 367) participants with HF with reduced ejection fraction (HFrEF) had higher prevalence of hypertension [1.04 (95% CI: 1.02 - 1.07)] and diabetes [1.26 (95% CI: 1.09 - 1.45)] and lower prevalence of coronary artery disease [0.86 (95% CI: 0.78 - 0.94)] and atrial fibrillation [0.70 (95% CI: 0.58 - 0.83)]. Socioeconomic status explained 14.5%, 26.5% and 40% of excess diabetes, anemia, and chronic kidney disease among Black adults with HFpEF; however; mediation was not statistically significant and no other SDOH substantially mediated differences in comorbidity prevalence. Conclusions: Socioeconomic status partially mediated excess diabetes, anemia, and chronic kidney disease experienced by Black adults with HFpEF, but differences in other comorbidities were not explained by other SDOH examined.

"It attracts your eyes and brain": Refining visualizations for shared decision-making with heart failure patients.

BACKGROUND: N-of-1 trials have emerged as a personalized approach to patient-centered care, where patients can compare evidence-based treatments using their own data. However, little is known about optimal methods to present individual-level data from medication-related N-of-1 trials to patients to promote decision-making. OBJECTIVES: We conducted qualitative interviews with patients with heart failure with preserved ejection fraction (HFpEF) undergoing N-of-1 trials to iterate, refine, and optimize a patient-facing data visualization tool for displaying results of N-of-1 medication trials. The goal of optimizing this tool was to promote patients' understanding of their individual health information, and to ultimately facilitate shared decision-making about continuing or discontinuing their medication. METHODS: We conducted 32 semi-structured qualitative interviews with 9 participants over the course of their participation in N-of-1 trials. The N-of-1 trials were conducted to facilitate a comparison of continuing versus discontinuing a beta-blocker. Interviews were conducted in-person or over the phone after each treatment period to evaluate participant perspectives on a data visualization tool prototype. Data were coded using directed content analysis by two independent reviewers and included a third reviewer to reach consensus when needed. Major themes were extracted and iteratively incorporated into the patient-facing data visualization tool. RESULTS: Nine participants provided feedback on how their data was displayed in the visualization tool. After qualitative analysis, three major themes emerged that informed our final interface. Participants preferred: 1) clearly stated individual symptom scores, 2) a reference image with labels to guide their interpretation of symptom information, and 3) qualitative language over numbers alone conveying the meaning of changes in their scores (e.g., better, worse). CONCLUSIONS: Feedback informed the design of a patient-facing data visualization tool for medication-related N-of-1 trials. Future work should include usability and comprehension testing of this interface on a larger scale.

Ambulatory Care Utilization Among Medicare Beneficiaries with Depression.

The association between depression and ambulatory care utilization is unclear. The authors sought to determine the association between untreated depression and ambulatory care utilization, including the extent to which care is fragmented, or spread across providers. The authors conducted a longitudinal study using data from the nationwide REasons for Geographic and Racial Differences in Stroke study linked to Medicare fee-for-service claims (N = 1412). They categorized participants into three study groups, based on self-reported depressive symptoms (Center for Epidemiological Studies Depression Scale score ≥ 4) and a medication inventory for antidepressants: Symptomatic Untreated (SU), Symptomatic Treated (ST), and Asymptomatic Treated (AT). The authors used descriptive statistics to characterize ambulatory care patterns by study group. They determined the association between the study group and fragmentation score (with high fragmentation defined as a reversed Bice-Boxerman Index ≥ 0.85) using multivariable logistic regression. All groups had similar numbers of primary care visits, but the SU group had the fewest specialist visits. The SU group had the lowest proportion of participants who received care from a psychiatrist (3.4% vs. 10.7% for ST and 11.9% for AT, pairwise P-values < 0.001). The SU group was the least likely to have highly fragmented care (adjusted odds ratio 0.68; 95% confidence interval 0.48, 0.95, compared with the ST group). These results suggest that older adults with untreated depression are not engaged in excess care-seeking behaviors. Rather, the results suggest undertreatment of depression in primary care and underutilization of psychiatric care.

Development and initial validation of a disease-specific instrument to measure health-related quality of life in hypersensitivity pneumonitis.

Rationale and objective: Disease-specific health-related quality of life (HRQOL) instruments enable us to capture domains that are most relevant to specific patient populations and are useful when a more individualised approach to patient assessment is desired. In this study, we assessed the validity and reliability of the first instrument specifically developed to measure HRQOL in hypersensitivity pneumonitis (HP). Methods: A 39-item HP-HRQOL instrument and several anchors were collected from a cohort of patients with HP. Exploratory factor analysis and item reduction were utilised to construct a shortened version of the instrument. Several validity and reliability analyses were conducted on this version of the HP-HRQOL. Measurements and main results: 59 patients with HP completed the study. The revised HP-HRQOL instrument comprises 15 items composing two factors (domains): 1) impacts on daily life; and 2) mental wellbeing. Internal consistency reliability was strong for Factor 1 (Cronbach's α=0.94, 95% CI 0.92-0.96) and Factor 2 (Cronbach's α=0.89, 95% CI 0.85-0.94). Test-retest reliability was strong (ICC 0.94, 95% CI 0.89-0.97). The HP-HRQOL strongly correlated with other validated patient-reported outcome measures and moderately correlated with % predicted forced vital capacity. The HP-HRQOL distinguished between those with different severities of HP as determined by lung function and supplemental oxygen use. Conclusions: The HP-HRQOL, the first patient-reported outcome instrument specific to adults with HP, possesses strong validity and reliability characteristics for measuring disease-specific HRQOL and distinguishes among patients with different severities of disease.

Physician-Reported Facilitators and Barriers for Side Effect Management of Heart Failure Medications.

BACKGROUND: Physician underprescribing and patient nonadherence are major barriers to the benefits of guideline-directed medical therapy. An important contributor to both underprescribing and patient nonadherence is concern about medication-related side effects. Yet, there are few to no data on approaches used by physicians to: (1) elicit medication-related side effects, (2) attribute these side effects to specific medications, and (3) take appropriate action. METHODS AND RESULTS: The authors conducted semistructured interviews with physicians to identify facilitators and barriers to each critical step of heart failure medication management: elicitation of side effects, attribution of side effects to a medication, and action in response to attributed side effects. Interviews were transcribed and coded using directed content analysis. For elicitation of potential side effects, limited patient communication and family discordance in reporting were key barriers, whereas guiding questions, measurement, and open channels of communication were key facilitators. For attribution of side effects, confounding from other medications, limited time for clinical encounters, and nonspecific symptoms were key barriers, whereas time-limited medication discontinuation trials and medication rechallenges were key facilitators. For taking action, challenges with weighing risks and benefits and physician fear about causing harm or interfering with other clinicians were barriers, whereas patient-physician communication and the results of a medication discontinuation trials and medication rechallenge were facilitators. CONCLUSIONS: This study generated key facilitators and barriers to 3 key aspects of heart failure medication management related to side effects that should drive future work to improve heart failure medication management.

Polypharmacy and Guideline-Directed Medical Therapy Initiation Among Adults Hospitalized With Heart Failure.

Background: Underprescribing of guideline-directed medical therapy (GDMT) for heart failure (HF) persists. Objectives: The purpose of this study was to assess polypharmacy as a barrier to GDMT. Methods: We examined participants hospitalized for HF with reduced ejection fraction and HF with mildly reduced ejection fraction between 2003 and 2017 from the Reasons for Geographic and Racial Differences in Stroke study. Participants were stratified by admission medication count-0 to 4, 5 to 9, and ≥10 medications. We examined GDMT use at admission, GDMT contraindications, and initiation of eligible indicated GDMT by medication count. We conducted a multivariable Poisson regression with robust standard errors to examine the association between medication count and GDMT initiation. GDMT included agents for HF with reduced ejection fraction/HF with mildly reduced ejection fraction, antiplatelet agents and statins for coronary artery disease, and anticoagulants for atrial fibrillation. Results: Among 545 participants with HF, 34% were not taking a beta-blocker, 39% were not taking an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, or hydralazine-isosorbide dinitrate, and 90% were not taking a mineralocorticoid receptor antagonist at admission; among participants with coronary artery disease, 36% were not taking an antiplatelet agent, and 38% were not taking a statin; and among participants with atrial fibrillation, 49% were not taking an anticoagulant. Polypharmacy was inversely associated with initiation of at least one indicated medication (5-9 medications: relative risk [RR]: 0.67; 95% CI: 0.56-0.82; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.39-0.64; P < 0.001) and initiation of at least half of indicated medications (5-9 medications: RR: 0.64; 95% CI: 0.51-0.81; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.38-0.67; P < 0.001). Conclusions: Polypharmacy is an important barrier to GDMT.

Trajectory of Cognitive Decline After Incident Heart Failure Hospitalization: Findings From the REGARDS Study.

BACKGROUND: Cognitive impairment is common among adults with heart failure (HF) and associated with poor outcomes. However, less is known about the trajectory of cognitive decline after a first HF hospitalization. We examined the rate of cognitive decline among adults with incident HF hospitalization compared with those without HF hospitalization. METHODS AND RESULTS: The REGARDS (Reasons for Geographic and Racial Differences in Stroke) study is a prospective longitudinal study of 23 894 participants aged ≥45 years free of HF at baseline. HF hospitalization was expert adjudicated. Changes in global cognitive function (primary outcome) were assessed with the Six-Item Screener (range, 0-6). Secondary outcomes included change in Word List Learning (range, 0-30), Word List Delayed Recall (WLD; range, 0-10), and Animal Fluency Test (range, 0+). Segmented linear mixed-effects regression models were used. Over 5 years, mean scores across all 4 cognitive tests declined for all participants regardless of HF status. Those with incident HF hospitalization experienced faster declines in the Six-Item Screener versus those who were HF free (difference, -0.031 [95% CI, -0.047 to -0.016]; P<0.001), a finding that persisted in fully adjusted models. Those with incident HF hospitalization did not experience faster declines in Word List Learning, Word List Delayed Recall, or Animal Fluency Test scores compared with those without HF hospitalization. Participants with hospitalization for HF with preserved, compared with reduced, ejection fraction had faster decline in Animal Fluency Test. CONCLUSIONS: Global cognitive decline occurred faster among adults with incident HF hospitalization compared with those who remained free of HF hospitalization. This pattern was not seen for the other cognitive domains.

Predicted Cardiovascular Risk by the PREVENT Equations in US Adults With Stage 1 Hypertension.

BACKGROUND: The 2017 American College of Cardiology/American Heart Association blood pressure guideline recommends initiation of antihypertensive medication for adults with stage 1 hypertension (systolic blood pressure, 130-139 mm Hg, or diastolic blood pressure, 80-89 mm Hg) and 10-year atherosclerotic cardiovascular disease (ASCVD) risk ≥10% estimated by the pooled cohort equations (PCEs). In 2023, the American Heart Association published the predicting risk of cardiovascular disease events (PREVENT) equations to estimate ASCVD and total cardiovascular disease risk. METHODS: We analyzed US National Health and Nutrition Examination Survey data from 2013 to 2020 for 1703 adults aged 30 to 79 years without self-reported cardiovascular disease with stage 1 hypertension. We estimated 10-year ASCVD risk by the PCEs and 10-year ASCVD and total cardiovascular disease risk by the base PREVENT equations. Analyses were weighted to represent noninstitutionalized US adults with stage 1 hypertension. RESULTS: Mean 10-year ASCVD risk was 5.4% (95% CI, 5.0%-5.9%) and 2.9% (95% CI, 2.7%-3.1%) using the PCEs and PREVENT equations, respectively. The proportion with 10-year ASCVD risk of 10% to <15% and ≥15% was 8.1% and 7.8% estimated by the PCEs, respectively, and 3.0% and 0.3% estimated by the PREVENT equations, respectively. No participants had a 10-year ASCVD risk ≥10% on the PREVENT equations and <10% on the PCEs, while 12.5% had a 10-year ASCVD risk ≥10% on the PCEs and <10% on the PREVENT equations. The mean 10-year total cardiovascular disease risk estimated by the PREVENT equations was lower than the mean 10-year ASCVD risk on the PCEs. CONCLUSIONS: Among US adults with stage 1 hypertension, the 10-year predicted ASCVD risk estimated by the PREVENT equations was approximately half the risk estimated by the PCEs.

Association Between Caregiver Strain and Self-Care Among Caregivers With Hypertension: Findings From the REGARDS Study.

BACKGROUND: Self-care for adults with hypertension includes adherence to lifestyle behaviors and medication. For unpaid caregivers with hypertension, the burden of family caregiving may adversely impact self-care. We examined the association between caregiver strain and hypertension self-care among caregivers with hypertension. METHODS AND RESULTS: We included participants of the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study who identified as caregivers and had hypertension. Caregiver strain, assessed by self-report, was categorized as "none/some" or "high." Hypertension self-care was assessed individually across 5 domains (Dietary Approaches to Stop Hypertension [DASH] diet, physical activity, alcohol use, cigarette smoking, and medication adherence) and a composite self-care score summing performance across them. The association between caregiver strain and hypertension self-care was examined with multivariable linear regression. Among the 2128 caregivers with hypertension, 18.1% reported high caregiver strain. Caregivers with high strain versus those with none/some were less adherent to the DASH diet (50.8% versus 38.9%, P<0.002), physically inactive (44.4% versus 36.2%, P<0.009), current smokers (19.7% versus 13.9%, P<0.004), and had lower overall self-care scores (6.6 [SD 1.7] versus 7.0 [SD 1.7], P<0.001). In an age-adjusted model, high caregiver strain was associated with worse hypertension self-care (ß=-0.37 [95% CI, -0.61 to -0.13]); this remained significant but was reduced in magnitude after adjustment for sociodemographics (ß=-0.35 [-0.59 to -0.11]), comorbidities (ß=-0.34 [-0.57 to -0.10]), caregiving intensity (ß=-0.34 [-0.59 to 0.10]), and psychological factors (ß=-0.26 [-0.51 to 0.00]). CONCLUSIONS: High caregiver strain was associated with worse hypertension self-care overall and across individual domains. Increased awareness of caregiver strain and its potential impact on hypertension self-care is warranted.

Clusters of long COVID among patients hospitalized for COVID-19 in New York City.

BACKGROUND: Recent studies have demonstrated that individuals hospitalized due to COVID-19 can be affected by "long-COVID" symptoms for as long as one year after discharge. OBJECTIVES: Our study objective is to identify data-driven clusters of patients using a novel, unsupervised machine learning technique. METHODS: The study uses data from 437 patients hospitalized in New York City between March 3rd and May 15th of 2020. The data used was abstracted from medical records and collected from a follow-up survey for up to one-year post-hospitalization. Hospitalization data included demographics, comorbidities, and in-hospital complications. The survey collected long-COVID symptoms, and information on general health, social isolation, and loneliness. To perform the analysis, we created a graph by projecting the data onto eight principal components (PCs) and running the K-nearest neighbors algorithm. We then used Louvain's algorithm to partition this graph into non-overlapping clusters. RESULTS: The cluster analysis produced four clusters with distinct health and social connectivity patterns. The first cluster (n = 141) consisted of patients with both long-COVID neurological symptoms (74%) and social isolation/loneliness. The second cluster (n = 137) consisted of healthy patients who were also more socially connected and not lonely. The third cluster (n = 96) contained patients with neurological symptoms who were socially connected but lonely, and the fourth cluster (n = 63) consisted entirely of patients who had traumatic COVID hospitalization, were intubated, suffered symptoms, but were socially connected and experienced recovery. CONCLUSION: The cluster analysis identified social isolation and loneliness as important features associated with long-COVID symptoms and recovery after hospitalization. It also confirms that social isolation and loneliness, though connected, are not necessarily the same. Physicians need to be aware of how social characteristics relate to long-COVID and patient's ability to cope with the resulting symptoms.

Social Determinants of Health and Cardiovascular Risk among Adults with Diabetes: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Background: Social determinants of health (SDOH) have been associated with diabetes risk; however, their association with cardiovascular disease (CVD) events in individuals with diabetes is poorly described. We hypothesized that a greater number of SDOH among individuals with diabetes would be associated with a higher risk of CVD events. Methods: The REasons for Geographic and Racial Differences in Stroke (REGARDS) study is a national, biracial cohort of 30,239 individuals ≥45 years old recruited in 2003-2007. We included 6,322 participants with diabetes at baseline, defined as healthcare professional diagnosis, diabetes medication use, or blood glucose values. Seven SDOH that were individually associated with CVD events were included (P<0.20). The outcome was CVD events, a composite of expert-adjudicated myocardial infarction, stroke, or cardiovascular death. We estimated Cox proportional hazard models to examine associations between number of SDOH (0, 1, 2, ≥3) and CVD events. Results: In an age and sex adjusted model, the presence of multiple SDOH significantly increased the risk of any CVD event (hazard ratio [HR], 1.48; 95% confidence interval [CI], 1.26 to 1.74 for two SDOH; HR, 1.68; 95% CI, 1.43 to 1.96 for ≥3 SDOH). This finding was attenuated but remained statistically significant in a fully adjusted model (HR, 1.19; 95% CI, 1.01 to 1.40 for two SDOH; HR, 1.27; 95% CI, 1.07 to 1.50 for ≥3 SDOH). Conclusion: Having multiple SDOH was independently associated with an increased risk of CVD events, a finding driven by cardiovascular death. Identifying individuals with diabetes who have multiple SDOH may be helpful for detecting those at higher risk of experiencing or dying from CVD events.

Neighborhood Social Vulnerability and Premature Cardiovascular Disease in Haiti.

Importance: Higher social vulnerability is associated with premature cardiovascular disease (CVD) and mortality but is understudied in low-income countries that have both the highest magnitude of social vulnerability and a growing CVD epidemic. Objective: To evaluate the association between social vulnerability and hypertension, CVD, and CVD subtypes in Haiti as a model for similar low-income countries. Design, Setting, and Participants: This population-based cohort study used enrollment data from adults participating in the Haiti Cardiovascular Disease Cohort Study. Recruitment occurred via multistage random sampling throughout slum and urban neighborhoods in Port-au-Prince, Haiti, from March 2019 to August 2021. Data were analyzed from May 2022 to December 2023. Exposures: A modified Haitian Social Vulnerability Index (SVI-H) was created following the US Centers for Disease Control and Prevention Social Vulnerability Index method. Twelve variables across the domains of socioeconomic status, household characteristics, and social and community context were included. The SVI-H was calculated for each study neighborhood block and then stratified into SVI-H quartiles (quartile 1 was the least vulnerable; quartile 4, the most vulnerable). Main Outcomes and Measures: Prevalent hypertension and total CVD, defined as heart failure (HF), stroke, transient ischemic attack (TIA), angina, or myocardial infarction (MI). Age-adjusted Poisson regression analysis yielded prevalence ratios (PRs) comparing the prevalence of hypertension, total CVD, and CVD subtypes across SVI-H quartiles. Results: Among 2925 adults (1704 [58.3%] female; mean [SD] age, 41.9 [15.9] years), the prevalence of hypertension was 32.8% (95% CI, 31.1%-34.5%) and the prevalence of CVD was 14.7% (95% CI, 13.5%-16.0%). Hypertension prevalence ranged from 26.2% (95% CI, 23.1%-29.3%) to 38.4% (95% CI, 34.8%-42.0%) between quartiles 1 and 4, while CVD prevalence ranged from 11.1% (95% CI, 8.8%-13.3%) to 19.7% (95% CI, 16.8%-22.6%). SVI-H quartile 4 vs 1 was associated with a greater prevalence of hypertension (PR, 1.17; 95% CI, 1.02-1.34) and CVD (PR, 1.48; 95% CI, 1.16-1.89). Among CVD subtypes, SVI-H was significantly associated with HF (PR, 1.64; 95% CI, 1.23-2.18) but not with combined stroke and TIA or combined angina and MI. Conclusions and Relevance: In urban Haiti, individuals living in neighborhoods with the highest social vulnerability had greater prevalence of hypertension and HF. Understanding CVD disparities in low-income countries is essential for targeting prevention and treatment interventions toward populations at highest risk globally.

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.

Social Determinants of Health and Incident Apparent Treatment-Resistant Hypertension Among White and Black US Adults: The REGARDS Study.

BACKGROUND: We examined the association of multilevel social determinants of health with incident apparent treatment-resistant hypertension (aTRH). METHODS AND RESULTS: We analyzed data from 2774 White and 2257 Black US adults from the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study taking antihypertensive medication without aTRH at baseline to estimate the association of social determinants of health with incident aTRH. Selection of social determinants of health was guided by the Healthy People 2030 domains of education, economic stability, social context, neighborhood environment, and health care access. Blood pressure (BP) was measured during study visits, and antihypertensive medication classes were identified through a pill bottle review. Incident aTRH was defined as (1) systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg, or systolic BP ≥130 mm Hg or diastolic BP ≥80 mm Hg for those with diabetes or chronic kidney disease while taking ≥3 classes of antihypertensive medication or (2) taking ≥4 classes of antihypertensive medication regardless of BP level, at the follow-up visit. Over a median 9.5 years of follow-up, 15.9% of White and 24.0% of Black adults developed aTRH. A percent of the excess aTRH risk among Black versus White adults was mediated by low education (14.2%), low income (16.0%), not seeing a friend or relative in the past month (8.1%), not having someone to care for them if ill or disabled (7.6%), lack of health insurance (10.6%), living in a disadvantaged neighborhood (18.0%), and living in states with poor public health infrastructure (6.0%). CONCLUSIONS: Part of the association between race and incident aTRH risk was mediated by social determinants of health.

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.

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.