Expanding Access to Comprehensive Geriatric Evaluation via Telehealth: Development of Hybrid-Virtual Home Visits.

BACKGROUND: In response to the aging population, the Department of Veterans Affairs (VA) seeks to expand access to evidence-based practices which support community-dwelling older persons such as the Geriatric Resources for Assessment and Care of Elders (GRACE) program. GRACE is a multidisciplinary care model which provides home-based geriatric evaluation and management for older Veterans residing within a 20-mile drive radius from the hospital. We sought to expand the geographic reach of VA-GRACE by developing a hybrid-virtual home visit (TeleGRACE). OBJECTIVES: The objectives were to: (1) describe challenges encountered and solutions implemented during the iterative, pre-implementation program development process; and (2) illustrate potential successes of the program with two case examples. DESIGN: Quality improvement project with longitudinal qualitative data collection. PROGRAM DESCRIPTION: The hybrid-virtual home visit involved a telehealth technician travelling to patients' homes and connecting virtually to VA-GRACE team members who participated remotely. APPROACH & PARTICIPANTS: We collected multiple data streams throughout program development: TeleGRACE staff periodic reflections, fieldnotes, and team meeting notes; and VA-GRACE team member interviews. KEY RESULTS: The five program domains that required attention and problem-solving were: telehealth connectivity and equipment, virtual physical examination, protocols and procedures, staff training, and team integration. For each domain, we describe several challenges and solutions. An example from the virtual physical examination domain: several iterations were required to identify the combination of telehealth stethoscope with dedicated headphones that allowed remote nurse practitioners to hear heart and lung sounds. The two cases illustrate how this hybrid-virtual home visit model provided care for patients who would not otherwise have received timely healthcare services. CONCLUSIONS: These results provide a blueprint to translate an in-person home-based geriatrics program into a hybrid-virtual model and support the feasibility of using hybrid-virtual home visits to expand access to comprehensive geriatric evaluation and ongoing care for high-risk, community-dwelling older persons who reside geographically distant from the primary VA facility.

Loneliness in older primary care patients and its relationship to physical and mental health-related quality of life.

BACKGROUND: Loneliness is a significant public health challenge in the United States, especially among older adults. The epidemiology of loneliness among older adults in primary care is lacking, and specific research is needed on how loneliness impacts older primary patients' physical, mental, and cognitive health. A large sample of older primary care patients were recruited for a trial during the COVID-19 pandemic to measure the relationship between loneliness and physical and mental quality of life (QOL). METHODS: Baseline data come from the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) study, an ongoing randomized controlled trial evaluating benefits and risks of Alzheimer's disease and related dementias screening among primary care patients ages 65 and older, collected April 2020 to September 2021. Loneliness was measured with the 5-item, Loneliness Fixed Form Ages 18+ from The NIH Toolbox Emotion Battery, physical and mental health-related QOL was measured with the SF-36v2, and depression and anxiety severity were measured with the PHQ-9 and GAD-7, respectively. RESULTS: Spearman correlation analyses revealed that loneliness was moderately correlated with mental health QOL (r[601] = -0.43, p < 0.001), anxiety severity (r[601] = 0.44, p < 0.001), and depression severity (r[601] = 0.42, p < 0.001), while weakly correlated with physical health QOL (r[601] = -0.15, p < 0.001). After conducting unadjusted and adjusted linear regression models, we found that loneliness was significantly associated with both lower mental (p < 0.001) and physical (p < 0.001) QOL. Furthermore, loneliness remained significantly associated with worse mental QOL after adjusting for age, gender, race, ethnicity, educational level, perceived income status, neighborhood disadvantage, severity of comorbidities, and comorbid depression and anxiety. CONCLUSION: Primary care providers should discuss loneliness with their older adult patients and provide resources to help patients develop and maintain meaningful social relationships.

Mobile Critical Care Recovery Program for Survivors of Acute Respiratory Failure: A Randomized Clinical Trial.

Importance: Over 50% of Acute Respiratory Failure (ARF) survivors experience cognitive, physical, and psychological impairments that negatively impact their quality of life (QOL). Objective: To evaluate the efficacy of a post-intensive care unit (ICU) program, the Mobile Critical Care Recovery Program (m-CCRP) consisting of a nurse care coordinator supported by an interdisciplinary team, in improving the QOL of ARF survivors. Design, Setting, and Participants: This randomized clinical trial with concealed outcome assessments among ARF survivors was conducted from March 1, 2017, to April 30, 2022, with a 12-month follow-up. Patients were admitted to the ICU services of 4 Indiana hospitals (1 community, 1 county, 2 academic), affiliated with the Indiana University School of Medicine. Intervention: A 12-month nurse-led collaborative care intervention (m-CCRP) supported by an interdisciplinary group of clinicians (2 intensivists, 1 geriatrician, 1 ICU nurse, and 1 neuropsychologist) was compared with a telephone-based control. The intervention comprised longitudinal symptom monitoring coupled with nurse-delivered care protocols targeting cognition, physical function, personal care, mobility, sleep disturbances, pain, depression, anxiety, agitation or aggression, delusions or hallucinations, stress and physical health, legal and financial needs, and medication adherence. Main Outcomes and Measures: The primary outcome was QOL as measured by the 36-item Medical Outcomes Study Short Form Health Survey (SF-36) physical component summary (PCS) and mental component summary (MCS), with scores on each component ranging from 0-100, and higher scores indicating better health status. Results: In an intention-to-treat analysis among 466 ARF survivors (mean [SD] age, 56.1 [14.4] years; 250 [53.6%] female; 233 assigned to each group), the m-CCRP intervention for 12 months did not significantly improve the QOL compared with the control group (estimated difference in change from baseline between m-CCRP and control group: 1.61 [95% CI, -1.06 to 4.29] for SF-36 PCS; -2.50 [95% CI, -5.29 to 0.30] for SF-36 MCS. Compared with the control group, the rates of hospitalization were higher in the m-CCRP group (117 [50.2%] vs 95 [40.8%]; P = .04), whereas the 12-month mortality rates were not statistically significantly lower (24 [10.3%] vs 38 [16.3%]; P = .05). Conclusions and Relevance: Findings from this randomized clinical trial indicated that a nurse-led 12-month comprehensive interdisciplinary care intervention did not significantly improve the QOL of ARF survivors after ICU hospitalization. These results suggest that further research is needed to identify specific patient groups who could benefit from tailored post-ICU interventions. Trial Registration: ClinicalTrials.gov Identifier: NCT03053245.

Risk factors for dementia in older intensive care unit (ICU) survivors.

INTRODUCTION: As the number of older intensive care unit (ICU) survivors grows, there is an urgent need to identify modifiable risk factors for post-ICU dementia. METHODS: We performed a secondary data analysis of 3144 ICU patients ≥ 50 years of age without a history of dementia or severe mental illness who were screened as part of the Pharmacological Management of Delirium (PMD) study. Delirium was assessed using the Confusion Assessment Method for the ICU. Dementia was identified using International Classification of Diseases Ninth and Tenth revision codes for dementia or prescription of anti-dementia medication. RESULTS: Average age (standard deviation) was 65.2 ± 9.5 years; 50.4% were female; and 37.3% were Black. Analyses identified stroke (adjusted hazard ratio [HR] 2.49; 95% confidence interval [CI: 1.52, 4.07], P < 0.001), and depression (adjusted HR 3.03; 95% CI [1.80, 5.10], P < 0.001) as post-ICU risk factors for dementia. DISCUSSION: Future studies will need to examine whether interventions targeting post-ICU stroke and depression can lower dementia incidence in ICU survivors. HIGHLIGHTS: Risk factors for post-intensive care unit (ICU) dementia were distinct from those of Alzheimer's disease. Cardiovascular risk factors were not associated with dementia in older ICU survivors. Post-ICU stroke was associated with a higher risk of dementia in older ICU survivors. Post-ICU depression was associated with a higher risk of dementia in older ICU survivors.

Communication and activation in pain to enhance relationships and treat pain with equity (COOPERATE): a randomized clinical trial.

ABSTRACT: Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one's health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.

Serum proteomic analysis in esophagectomy patients with postoperative delirium: A case-control study.

BACKGROUND: Postoperative delirium occurs in up to 80% of patients undergoing esophagectomy. We performed an exploratory proteomic analysis to identify protein pathways that may be associated with delirium post-esophagectomy. OBJECTIVES: Identify proteins associated with delirium and delirium severity in a younger and higher-risk surgical population. METHODS: We performed a case-control study using blood samples collected from patients enrolled in a negative, randomized, double-blind clinical trial. English speaking adults aged 18 years or older, undergoing esophagectomy, who had blood samples obtained were included. Cases were defined by a positive delirium screen after surgery while controls were patients with negative delirium assessments. Delirium was assessed using Richmond Agitation Sedation Scale and Confusion Assessment Method for the Intensive Care Unit, and delirium severity was assessed by Delirium Rating Scale-Revised-98. Blood samples were collected pre-operatively and on post-operative day 1, and discovery proteomic analysis was performed. Between-group differences in median abundance ratios were reported using Wilcoxon-Mann-Whitney Odds (WMWodds1) test. RESULTS: 52 (26 cases, 26 controls) patients were included in the study with a mean age of 64 (SD 9.6) years, 1.9% were females and 25% were African American. The median duration of delirium was 1 day (IQR: 1-2), and the median delirium/coma duration was 2.5 days (IQR: 2-4). Two proteins with greater relative abundance ratio in patients with delirium were: Coagulation factor IX (WMWodds: 1.89 95%CI: 1.0-4.2) and mannosyl-oligosaccharide 1,2-alpha-mannosidase (WMWodds: 2.4 95%CI: 1.03-9.9). Protein abundance ratios associated with mean delirium severity at postoperative day 1 were Complement C2 (Spearman rs = -0.31, 95%CI [-0.55, -0.02]) and Mannosyl-oligosaccharide 1,2-alpha-mannosidase (rs = 0.61, 95%CI = [0.29, 0.81]). CONCLUSIONS: We identified changes in proteins associated with coagulation, inflammation, and protein handling; larger, follow-up studies are needed to confirm our hypothesis-generating findings.

Relationship between health-related quality of life, depression, and anxiety in older primary care patients and their family members.

OBJECTIVES: Patient-family member dyads experience transitions through illness as an interdependent team. This study measures the association of depression, anxiety, and health-related quality of life (HRQOL) of older adult primary care patient-family member dyads. METHODS: Baseline data from 1,808 patient-family member dyads enrolled in a trial testing early detection of Alzheimer's disease and related dementias in primary care. Actor-Partner Independence Model was used to analyze dyadic relationships between patients' and family members' depression (PHQ-9), anxiety (GAD-7), and HRQOL (SF-36 Physical Component Summary score and Mental Component Summary score). RESULTS: Family member mean (SD) age is 64.2 (13) years; 32.2% male; 84.6% White; and 64.8% being the patient's spouse/partner. Patient mean (SD) age is 73.7 (5.7) years; 47% male; and 85.1% White. For HRQOL, there were significant actor effects for patient and family member depression alone and depression and anxiety together on their own HRQOL (p < 0.001). There were significant partner effects where family member depression combined with anxiety was associated with the patient's physical component summary score of the SF-36 (p = 0.010), and where the family member's anxiety alone was associated with the patient's mental component summary score of the SF-36 (p = 0.031). CONCLUSION: Results from this study reveal that many dyads experience covarying health status (e.g. depression, anxiety) even prior to entering a caregiving situation.

Physical and psychosocial determinants of quality of life in children with obesity.

Background: Obesity has a negative impact on the physical and psychosocial quality of life of children. As rates of obesity continue to increase, it is important to recognize the widespread effects obesity has on children and their families. Methods: This clinical investigation evaluated the self-reported quality of life of children with obesity in a weight management program and compared this to a parent/guardian's perspective of the child's quality of life using the Pediatric Quality of Life survey 4.0. The quality of life of children with obesity was compared to children with other chronic diseases and healthy children. Results: An association was discovered between the guardians' responses to the Pediatric Quality of Life survey and the child's age. Guardians with children younger than 11 years reported higher quality of life scores than guardians of children 11 years and older. Race, comorbidities of obesity, insurance type, household structure, and parental education attainment were not significantly associated with a child's quality of life. Children with obesity had a lower quality of life compared to children who were organ transplant recipients and children with organic gastrointestinal disease. Conclusions: These results emphasize the need to evaluate and treat the physical and psychosocial components of wellbeing in children with obesity at an early age.

Development of a population-level prediction model for intensive care unit (ICU) survivorship and mortality in older adults: A population-based cohort study.

Background and Aims: Given the growing utilization of critical care services by an aging population, development of population-level risk models which predict intensive care unit (ICU) survivorship and mortality may offer advantages for researchers and health systems. Our objective was to develop a risk model for ICU survivorship and mortality among community dwelling older adults. Methods: This was a population-based cohort study of 48,127 patients who were 50 years and older with at least one primary care visit between January 1, 2017, and December 31, 2017. We used electronic health record (EHR) data to identify variables predictive of ICU survivorship. Results: ICU admission and mortality within 2 years after index primary care visit date were used to divide patients into three groups of "alive without ICU admission", "ICU survivors," and "death." Multinomial logistic regression was used to identify EHR predictive variables for the three patient outcomes. Cross-validation by randomly splitting the data into derivation and validation data sets (60:40 split) was used to identify predictor variables and validate model performance using area under the receiver operating characteristics (AUC) curve. In our overall sample, 92.2% of patients were alive without ICU admission, 6.2% were admitted to the ICU at least once and survived, and 1.6% died. Greater deciles of age over 50 years, diagnoses of chronic obstructive pulmonary disorder or chronic heart failure, and laboratory abnormalities in alkaline phosphatase, hematocrit, and albumin contributed highest risk score weights for mortality. Risk scores derived from the model discriminated between patients that died versus remained alive without ICU admission (AUC = 0.858), and between ICU survivors versus alive without ICU admission (AUC = 0.765). Conclusion: Our risk scores provide a feasible and scalable tool for researchers and health systems to identify patient cohorts at increased risk for ICU admission and survivorship. Further studies are needed to prospectively validate the risk scores in other patient populations.

Association between Change in the peripheral biomarkers of inflammation, astrocyte activation, and neuroprotection at one week of critical illness and hospital mortality in patients with delirium: A prospective cohort study.

OBJECTIVE: In critically ill adults with delirium, biomarkers of systemic inflammation, astrocyte activation, neuroprotection, and systemic inflammation measured at one week of critical illness may be associated with mortality. DESIGN: Prospective observational study. SETTING: Intensive care unit (ICU). PATIENTS: 178 ICU patients with delirium, alive and remaining in ICU at one week. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Blood samples collected for a pair of previously published, negative, clinical trials were utilized. Samples were collected at study enrollment/ICU admission (Day 1 sample) and one week later (Day 8 sample), and analyzed for interleukins (IL)-6, 8, 10, Insulin-like Growth Factor (IGF), S100 Binding Protein (S100B), Tumor Necrosis Factor Alpha (TNF-A) and C-Reactive Protein (CRP). Delirium, delirium severity, and coma were assessed twice daily using Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), CAM-ICU-7, and Richmond Agitation-Sedation Scale (RASS), respectively. Mortality was assessed until discharge using the electronic medical record. Logistic regression models adjusting for age, sex, severity of illness, comorbidities, sepsis, and randomization status, were used to assess the relationship among biomarkers and mortality. Higher IL-10 quartiles at day 8 were associated with increased odds of hospital mortality (IL-10: OR 2.00 95%CI: 1.1-3.65, p = 0.023). There was a significant interaction between day 1 and day 8 biomarker quartiles only for IL-6. Patients with IL-6 values in the first three quartiles on admission to the ICU that transitioned to higher IL-6 quartiles at day 8 had increased probability of hospital mortality. CONCLUSION: In this hypothesis-generating study, higher IL-6 and IL-10 quartiles at one week, and increase in IL-6 from day 1 to day 8 were associated with increased hospital mortality. Studies with larger sample sizes are needed to confirm the mechanisms for these observations.

A developmental formative evaluation of a pilot participatory music program for veterans with housing insecurity.

BACKGROUND: Interventions are needed to improve well-being and promote community reintegration among Veterans with housing insecurity. The objective was to conduct a developmental formative evaluation of a participatory music program. METHODS: This single-site, pilot study implemented a participatory music program at a U.S. Department of Veterans Affairs (VA) Homeless Domiciliary that included one-hour sessions (group music instruction and ensemble playing), 3 times per week for 3 months. Intervention development was guided by the Model of Human Occupation (MOHO). Evaluation was guided by the MOHO and the Consolidated Framework for Implementation Evaluation (CFIR). Qualitative data were collected via semi-structured interviews from participants and non-participants, and were analyzed using an interdisciplinary, constant comparison qualitative analysis technique. RESULTS: Sixteen program participants and 8 non-participants were enrolled, age range 26-59 (mean 41; standard deviation, 11) years; 75% were White. The sample for this study (N = 12) included five participants and seven non-participants. Semi-structured interview responses produced three salient themes illuminating Veterans' perspectives: (1) key characteristics of the intervention (the relative advantage of the participatory program over other problem-focused programs; the importance of a supportive, encouraging teaching; the group setting; the role of music); (2) the therapeutic power of the program (based on it being enjoyable; and serving as an escape from preoccupations); and (3) the context and culture (which included Veterans supporting each other and the Domiciliary setting). CONCLUSIONS: Veterans described the benefits of a participatory music intervention compared to problem-based groups, which included enjoyment, skill acquisition facilitating pride, escape, reconnecting with their identity prior to current problems, and experiencing positive aspects of Veteran culture such as mutual support and discipline. These data support ongoing research about participatory music programs to support Veterans with housing insecurity.

Development and validation of a model predicting mild stroke severity on admission using electronic health record data.

OBJECTIVE: Initial stroke severity is a potent modifier of stroke outcomes but this information is difficult to obtain from electronic health record (EHR) data. This limits the ability to risk-adjust for evaluations of stroke care and outcomes at a population level. The purpose of this analysis was to develop and validate a predictive model of initial stroke severity using EHR data elements. METHODS: This observational cohort included individuals admitted to a US Department of Veterans Affairs hospital with an ischemic stroke. We extracted 65 independent predictors from the EHR. The primary analysis modeled mild (NIHSS score 0-3) versus moderate/severe stroke (NIHSS score ≥4) using multiple logistic regression. Model validation included: (1) splitting the cohort into derivation (65%) and validation (35%) samples and (2) evaluating how the predicted stroke severity performed in regard to 30-day mortality risk stratification. RESULTS: The sample comprised 15,346 individuals with ischemic stroke (n = 10,000 derivation; n = 5,346 validation). The final model included 15 variables and correctly classified 70.4% derivation sample patients and 69.4% validation sample patients. The areas under the curve (AUC) were 0.76 (derivation) and 0.76 (validation). In the validation sample, the model performed similarly to the observed NIHSS in terms of the association with 30-day mortality (AUC: 0.72 observed NIHSS, 0.70 predicted NIHSS). CONCLUSIONS: EHR data can be used to construct a surrogate measure of initial stroke severity. Further research is needed to better differentiate moderate and severe strokes, enhance stroke severity classification, and how to incorporate these measures in evaluations of stroke care and outcomes.

Impact of the coronavirus disease-2019 pandemic on Veterans Health Administration Sleep Services.

Objectives: To understand the impact of the coronavirus disease-2019 pandemic on sleep services within the United States Department of Veterans Affairs using separate surveys from "pre-COVID" and pandemic periods. Methods: Data from a pre-pandemic survey (September to November 2019) were combined with data from a pandemic-period survey (August to November 2020) to Veterans Affairs sleep medicine providers about their local sleep services within 140 Veterans Affairs facilities). Results: A total of 67 (47.9%) facilities responded to the pandemic online survey. In-lab diagnostic and titration sleep studies were stopped at 91.1% of facilities during the pandemic; 76.5% of facilities resumed diagnostic studies and 60.8% resumed titration studies by the time of the second survey. Half of the facilities suspended home sleep testing; all facilities resumed these services. In-person positive airway pressure clinics were stopped at 76.3% of facilities; 46.7% resumed these clinics. Video telehealth was either available or in development at 86.6% of facilities and was considered a lasting addition to sleep services. Coronavirus disease-2019 transmission precautions occurred at high rates. Sleep personnel experienced high levels of stress, anxiety, fear, and burnout because of the pandemic and in response to unexpected changes in sleep medicine care delivery. Conclusions: Sleep medicine services within the Veterans Affairs evolved during the pandemic with many key services being interrupted, including in-lab studies and in-person positive airway pressure clinics. Expansion and initiation of telehealth sleep services occurred commonly. The pandemic adversely affected sleep medicine personnel as they sought to maintain access to care.

Association of Antipsychotic-Related Weight Gain With Treatment Adherence and Switching Using Electronic Medical Records Data.

Objective: To leverage electronic health record (EHR) data to explore the relationship between weight gain and antipsychotic adherence among patients with schizophrenia and bipolar disorder (BD).Methods: EHR data were used to identify individuals with at least 60 days of continuous antipsychotic use between 2005 and 2019. Patients were diagnosed with schizophrenia, schizoaffective disorder, BD, or neither diagnosis (psychiatric controls). We examined the association of weight gain in the first 90 days with the proportion of days covered (PDC) with an antipsychotic and with the frequency of medication switching or stopping.Results: We identified 590 adults with schizophrenia or schizoaffective disorder, 819 adults with BD, and 642 psychiatric controls. In the first 90 days, the percentages of patients with a PDC ≥ 0.80 were 76.8% (schizophrenia), 77.1% (BD), and 70.7% (controls). Logistic regression models revealed that weight gain of ≥ 7% trended toward being significantly associated with greater adherence in the first 90 days (odds ratio = 1.29, P = .077) and was significantly associated with an increased likelihood of a medication switch in the first 180 days (odds ratio = 1.60, P = .003).Discussion: Patients whose weight increased by 7% or more in the first 90 days were more adherent but were also more likely to switch medications during the first 180 days.

CMS Practice Assessment Tool validity for alternative payment models.

OBJECTIVES: To study the predictive validity of the CMS Practice Assessment Tool (PAT) among 632 primary care practices. STUDY DESIGN: Retrospective observational study. METHODS: The study included primary care physician practices recruited by the Great Lakes Practice Transformation Network (GLPTN), 1 of 29 CMS-awarded networks, and used data from 2015 to 2019. At enrollment, trained quality improvement advisers scored each of the PAT's 27 milestones by its degree of implementation based on interviews with staff, review of documents, direct observation of practice activity, and professional judgment. The GLPTN also tracked each practice's status regarding alternative payment model (APM) enrollment. Exploratory factor analysis (EFA) was used to identify summary scores; mixed-effects logistic regression was used to assess the relationship between derived scores with APM participation. RESULTS: EFA revealed that the PAT's 27 milestones could be summed into 1 overall score and 5 secondary scores. By the end of the 4-year project, 38% of practices were enrolled in an APM. A baseline overall score and 3 secondary scores were associated with increased odds of joining an APM (overall score: odds ratio [OR], 1.06; 95% CI, 0.99-1.12; P = .061; data-driven care quality score: OR, 1.11; 95% CI, 1.00-1.22; P = .040; efficient care delivery score: OR, 1.08; 95% CI, 1.03-1.13; P = .003; collaborative engagement score: OR, 0.88; 95% CI, 0.80-0.96; P = .005). CONCLUSIONS: These results demonstrate that the PAT has adequate predictive validity for APM participation.

Relationship Among Clinically Obtained Biomarkers of Inflammation, Hypercoagulability, and Macrophage Activation, and Delirium in Critically Ill Patients With COVID-19.

Critically ill patients with COVID-19 experience high rates of delirium and coma. Whether delirium occurs through novel mechanisms in COVID-19 is not known. We analyzed the relationship among biomarkers of inflammation (C-reactive protein [CRP]), hypercoagulability (d-dimer), and lung macrophage activation (ferritin), and the primary composite outcome of delirium/coma next day. We also measured associations between biomarkers and next day delirium and coma independently, and delirium severity. DESIGN: Retrospective, observational cohort study. SETTING: ICUs at two large, urban, academic referral hospitals. PATIENTS: All consecutive adult patients admitted to the ICU from March 1, 2020, to June 7, 2020, with COVID-19 with clinical biomarkers and delirium assessments performed. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Daily concentrations of CRP, d-dimer, and ferritin were obtained. Coma (assessed by Richmond Agitation-Sedation Scale) and delirium (assessed by Confusion Assessment Method for the ICU/Confusion Assessment Method for the ICU-7) were measured bid. A cohort of 197 ICU patients with COVID-19 were included. Higher d-dimer (odds ratio [OR], 1.57; 95% CI, 1.17-2.12; p < 0.01) and ferritin quartiles (OR, 1.36; 95% CI, 1.02-1.81; p < 0.01) were associated with greater odds of the composite outcome of delirium/coma next day. d-dimer was associated with greater odds of next day delirium (OR, 1.49; 95% CI, 1.14-1.94; p < 0.01) and coma independently (OR, 1.52; 95% CI, 1.08-2.14; p = 0.017). Higher ferritin quartiles were associated with greater odds of next day delirium (OR, 1.33; 95% CI, 1.04-1.70; p = 0.026) and coma independently (OR, 1.59; 95% CI, 1.14-2.23; p < 0.01). Higher CRP quartiles were associated with coma (OR, 1.36; 95% CI, 1.03-1.79; p = 0.030) and delirium severity the next day (ß = 0.30; se, 0.07; p ≤ 0.01). CONCLUSIONS: Our hypothesis-generating study found d-dimer and ferritin were associated with delirium/coma the following day, as well as delirium and coma independently. CRP was associated with next day coma and delirium severity. Larger studies to validate these results are needed.

The impact of antipsychotic adherence on acute care utilization.

BACKGROUND: Non-adherence to psychotropic medications is common in schizophrenia and bipolar disorders (BDs) leading to adverse outcomes. We examined patterns of antipsychotic use in schizophrenia and BD and their impact on subsequent acute care utilization. METHODS: We used electronic health record (EHR) data of 577 individuals with schizophrenia, 795 with BD, and 618 using antipsychotics without a diagnosis of either illness at two large health systems. We structured three antipsychotics exposure variables: the proportion of days covered (PDC) to measure adherence; medication switch as a new antipsychotic prescription that was different than the initial antipsychotic; and medication stoppage as the lack of an antipsychotic order or fill data in the EHR after the date when the previous supply would have been depleted. Outcome measures included the frequency of inpatient and emergency department (ED) visits up to 12 months after treatment initiation. RESULTS: Approximately half of the study population were adherent to their antipsychotic medication (a PDC ≥ 0.80): 53.6% of those with schizophrenia, 52.4% of those with BD, and 50.3% of those without either diagnosis. Among schizophrenia patients, 22.5% switched medications and 15.1% stopped therapy. Switching and stopping occurred in 15.8% and 15.1% of BD patients and 7.4% and 20.1% of those without either diagnosis, respectively. Across the three cohorts, non-adherence, switching, and stopping therapy were all associated with increased acute care utilization, even after adjusting for baseline demographics, health insurance, past acute care utilization, and comorbidity. CONCLUSION: Non-continuous antipsychotic use is common and associated with high acute care utilization.

Contributory Factors Influencing Interdisciplinary Pediatric Weight Management Program Attendance for Racially Minoritized Youth.

Childhood obesity is a complex medical condition associated with biopsychosocial complications that requires a multifaceted treatment approach. Historically weight management treatment has been challenging to access for racially minoritized youth. This study evaluated factors influencing treatment attendance for racially minoritized youth in a pediatric weight management program between 2018 and 2021. Medical information from 228 participants was collected, including demographics, insurance type, use of telehealth visits, measures of health-related quality of life (HRQOL), distance from the weight management program, and medical history. Although participants entering the weight management program came from across the state, racially minoritized participants from the Indianapolis area were more likely to attend the program. Racially minoritized participants farther from the program were comparatively underrepresented. Relative to families from majority backgrounds, racially minoritized families had the highest public health insurance rates. Specific physical and mental health comorbidities may further increase risk. Results have important implications for pediatric weight management programs to improve access and treatment opportunities for racially minoritized and underserved populations.

Effects of the COVID-19 Pandemic on Black Veterans' Mental Health: A Qualitative Investigation.

Although the disproportionate effects of the COVID-19 pandemic on Black Americans are well-documented, we know little about its effects on their day-to-day lives and sense of wellbeing, especially for those who have served in the military. We conducted qualitative interviews with 21 Black veterans to understand their experiences with the pandemic and administered questionnaires about mental health and pandemic impact. Questionnaires indicated mild depression, moderate anxiety and loneliness, and pandemic effects on social support and health care. Interviews revealed that heightened anxiety and stress were driven by not trusting others to take the pandemic seriously, workplace anxiety, comorbidities, and the pandemic's pronounced effects on Black communities. Participants shared insights into these effects, including lack of caution on the part of some and the role of systemic racism. Findings enhance our understanding of how Black veterans have experienced the pandemic and may have important implications for other underserved groups.

The Impact of the COVID-19 Pandemic on the Mental Health of Older Primary Care Patients and Their Family Members.

The COVID-19 pandemic introduced mandatory stay-at-home orders and concerns about contracting a virus that impacted the physical and mental health of much of the world's population. This study compared the rates of depression and anxiety in a sample of older primary care patients (aged ≥65 years old) and their family members recruited for a clinical trial before and during the COVID-19 pandemic. Participants were dyads enrolled in the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) trial, which included 1,809 dyads of older primary care patients and one of their family members. Mean scores on the Patient Health Questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder Scale-7 (GAD-7) were measured and compared before and during the pandemic. We found no difference in depression and anxiety among dyads of older primary care patients and their family members recruited before and during COVID-19. Additionally, we found that older primary care patients and family members who reported their income as comfortable had significantly lower depression and anxiety compared to those who reported having not enough to make ends meet. Along with this, older primary care patients with a high school education or less were more likely to have anxiety compared to those with a postgraduate degree. Moreover, our findings support the notion that certain demographics of older primary care patients and family members are at a higher risk for depression and anxiety, indicating who should be targeted for psychological health interventions that can be adapted during COVID-19. Future research should continue monitoring older primary care patients and their family members through the remainder of the COVID-19 pandemic.