Schizophrenia is one of the top 15 causes of disability worldwide and among the most expensive mental disorders to treat. Relapse, commonly associated with healthcare utilization including hospitalization, is prevalent and progressive in schizophrenia. Electronic health record (EHR) data could be used for timely identification of those at highest risk for relapse. This study utilized a large sample of Midwestern healthcare patients (pts) diagnosed with schizophrenia and schizoaffective disorders to identify demographic, clinical, and utilization characteristics that predicted relapse.

This retrospective study includes EHR data from all pts between Oct 15, 2016, and Dec 31, 2021, who had at least 1 y of encounters. Patients’ first encounter with a schizophrenia or schizoaffective disorder diagnosis (ICD-10 F20 or F25) in this timeframe was defined as their index date, and all encounters up to 3 y post-index date (PID) were explored. Patient-level variables within the first 6 mo of follow-up (FU) were assessed as potential relapse predictors, and first relapse at or after 6 mo of FU within the system was explored as the outcome. Relapse was defined as occurrence of any behavioral health-related emergency room or inpatient encounter after 6 mo of FU within the system. Potential variables assessed include pt characteristics at index date, comorbidities diagnosed, healthcare encounter settings utilized, medication classes prescribed, and disorder-related outcomes experienced.

The study sample included 8119 pts with 325,745 total FU encounters, with an average of 28.0 mo of FU data PID. Among all pts, 30.5% experienced relapse by this study’s definition. Analyses revealed differences in insurance type, race/ethnicity, and age, and differences across a breadth of comorbid diagnoses, healthcare encounter settings utilized, disorder-related outcomes experienced, and medical classes prescribed. Adjusted analysis revealed pts who relapsed were more likely to be younger (RR=0.99[0.99,0.99]; p<0.0001); identify as Hispanic or Latino (RR=1.15[1.03,1.28]; p=0.0121) or Non-Hispanic (NH) Pacific Islander (RR=1.83[1.16,2.89]; p=0.0090) vs. NH White; have Medicare (RR=1.22[1.08,1.39]; p=0.0018) or Medicaid (RR=1.33[1.17,1.51]; p<0.0001) vs. Private insurance; have diagnoses of substance use (RR=1.33[1.24,1.43]; p<0.0001) and EPS (RR=1.78[1.65,1.92]; p<0.0001); utilize more ER (RR=1.02[1.01,1.02]; p<0.0001) and BH inpatient (RR=1.10[1.06,1.14]; p<0.0001) encounters; experience more prior relapse (RR=1.05;[1.03,1.06]; p<0.0001), and receive more LAI prescriptions (RR=1.01[1.00,1.02]; p=0.0349).

An algorithm of these variables could conceivably be used to proactively assess relapse risk among pts with schizophrenia to ultimately decide on and implement appropriate relapse prevention plans. Further exploration may be required to better understand underlying modifiable factors that put pts at increased risk of poor outcomes.

Sumitomo Pharma America, Inc. and Otsuka Pharmaceuticals Development & Commercialization, Inc.

Anxiety is a common comorbid feature of late-life depression (LLD) and is associated with poorer global cognitive functioning independent of depression severity. However, little is known about whether comorbid anxiety is associated with a domain-specific pattern of cognitive dysfunction. We therefore examined group differences (LLD with and without comorbid anxiety) in cognitive functioning performance across multiple domains.

Older adults with major depressive disorder (N = 228, ages 65–91) were evaluated for anxiety and depression severity, and cognitive functioning (learning, memory, language, processing speed, executive functioning, working memory, and visuospatial functioning). Ordinary least squares regression adjusting for age, sex, education, and concurrent depression severity examined anxiety group differences in performance on tests of cognitive functioning.

Significant group differences emerged for confrontation naming and visuospatial functioning, as well as for verbal fluency, working memory, and inhibition with lower performance for LLD with comorbid anxiety compared to LLD only, controlling for depression severity.

Performance patterns identified among older adults with LLD and comorbid anxiety resemble neuropsychological profiles typically seen in neurodegenerative diseases of aging. These findings have potential implications for etiological considerations in the interpretation of neuropsychological profiles.

Neuropsychiatric symptoms are common after traumatic brain injury (TBI) and often resolve within 3 months post-injury. However, the degree to which individual patients follow this course is unknown. We characterized trajectories of neuropsychiatric symptoms over 12 months post-TBI. We hypothesized that a substantial proportion of individuals would display trajectories distinct from the group-average course, with some exhibiting less favorable courses.

Participants were level 1 trauma center patients with TBI (n = 1943), orthopedic trauma controls (n = 257), and non-injured friend controls (n = 300). Trajectories of six symptom dimensions (Depression, Anxiety, Fear, Sleep, Physical, and Pain) were identified using growth mixture modeling from 2 weeks to 12 months post-injury.

Depression, Anxiety, Fear, and Physical symptoms displayed three trajectories: Stable-Low (86.2–88.6%), Worsening (5.6–10.9%), and Improving (2.6–6.4%). Among symptomatic trajectories (Worsening, Improving), lower-severity TBI was associated with higher prevalence of elevated symptoms at 2 weeks that steadily resolved over 12 months compared to all other groups, whereas higher-severity TBI was associated with higher prevalence of symptoms that gradually worsened from 3–12 months. Sleep and Pain displayed more variable recovery courses, and the most common trajectory entailed an average level of problems that remained stable over time (Stable-Average; 46.7–82.6%). Symptomatic Sleep and Pain trajectories (Stable-Average, Improving) were more common in traumatically injured groups.

Findings illustrate the nature and rates of distinct neuropsychiatric symptom trajectories and their relationship to traumatic injuries. Providers may use these results as a referent for gauging typical v. atypical recovery in the first 12 months post-injury.

Social workers are vital in delivering psychosocial services in palliative care, yet their specific roles in palliative oncology remain undefined. This study aimed to delineate the current practice role of oncology social workers involvement in palliative care in the United States.

This study utilized a cross-sectional design and involved secondary analysis of data from a nationwide survey focused on workforce conditions for oncology social workers. The participants were social workers who were directly involved in providing care to cancer patients and delivering palliative care services. They completed an online survey in which they indicated the relevance of 91 tasks related to their practice. The survey also collected individual demographic and work-related characteristics. Exploratory factor analysis was used to achieve the study objective.

Responses from a secondary data set of 243 oncology social workers involved in palliative care results in a 6-factor solution comprising 34 tasks. These factors were identified as: Therapeutic Interventions for Individuals, Couples, and Families; Facilitate Patient Care Decision-making; Care Coordination; Assessment and Emotional Support; Organization and Community Service; and Equity and Justice. All 6 factors demonstrated good internal reliability, as indicated by Cronbach’s alpha scores above 0.70.

The findings can be used to develop job descriptions and education for social workers employed in palliative cancer care. The clear role descriptions also make social work visible to other professionals in palliative oncology. By clarifying the roles of oncology social workers, this study contributes to the improvement of palliative care delivery and enhances interprofessional collaboration within cancer care teams.

Late-life depression (LLD) is common and frequently co-occurs with neurodegenerative diseases of aging. Little is known about how heterogeneity within LLD relates to factors typically associated with neurodegeneration. Varying levels of anxiety are one source of heterogeneity in LLD. We examined associations between anxiety symptom severity and factors associated with neurodegeneration, including regional brain volumes, amyloid beta (Aβ) deposition, white matter disease, cognitive dysfunction, and functional ability in LLD.

Older adults with major depression (N = 121, Ages 65–91) were evaluated for anxiety severity and the following: brain volume (orbitofrontal cortex [OFC], insula), cortical Aβ standardized uptake value ratio (SUVR), white matter hyperintensity (WMH) volume, global cognition, and functional ability. Separate linear regression analyses adjusting for age, sex, and concurrent depression severity were conducted to examine associations between anxiety and each of these factors. A global regression analysis was then conducted to examine the relative associations of these variables with anxiety severity.

Greater anxiety severity was associated with lower OFC volume (β = −68.25, t = −2.18, p = .031) and greater cognitive dysfunction (β = 0.23, t = 2.46, p = .016). Anxiety severity was not associated with insula volume, Aβ SUVR, WMH, or functional ability. When examining the relative associations of cognitive functioning and OFC volume with anxiety in a global model, cognitive dysfunction (β = 0.24, t = 2.62, p = .010), but not OFC volume, remained significantly associated with anxiety.

Among multiple factors typically associated with neurodegeneration, cognitive dysfunction stands out as a key factor associated with anxiety severity in LLD which has implications for cognitive and psychiatric interventions.

To assess whether measurement and feedback of chlorhexidine gluconate (CHG) skin concentrations can improve CHG bathing practice across multiple intensive care units (ICUs).

A before-and-after quality improvement study measuring patient CHG skin concentrations during 6 point-prevalence surveys (3 surveys each during baseline and intervention periods).

The study was conducted across 7 geographically diverse ICUs with routine CHG bathing.

Adult patients in the medical ICU.

CHG skin concentrations were measured at the neck, axilla, and inguinal region using a semiquantitative colorimetric assay. Aggregate unit-level CHG skin concentration measurements from the baseline period and each intervention period survey were reported back to ICU leadership, which then used routine education and quality improvement activities to improve CHG bathing practice. We used multilevel linear models to assess the impact of intervention on CHG skin concentrations.

We enrolled 681 (93%) of 736 eligible patients; 92% received a CHG bath prior to survey. At baseline, CHG skin concentrations were lowest on the neck, compared to axillary or inguinal regions (P < .001). CHG was not detected on 33% of necks, 19% of axillae, and 18% of inguinal regions (P < .001 for differences in body sites). During the intervention period, ICUs that used CHG-impregnated cloths had a 3-fold increase in patient CHG skin concentrations as compared to baseline (P < .001).

Routine CHG bathing performance in the ICU varied across multiple hospitals. Measurement and feedback of CHG skin concentrations can be an important tool to improve CHG bathing practice.

Early in the Russian-Ukrainian conflict, the Ukrainian Ministry of Health (MoH) implemented policy reform to allow for pre-hospital whole blood transfusion (pWBT). Team Rubicon (TR) worked with a multinational group of experts to disseminate training that accelerated the implementation of pWBT across the country.

TR utilized an assess, align, and act (A3) approach to drive the pWBT implementation. TR established relationships with Ukrainian providers to understand current needs, restrictions, and protocols for pWBT. TR aligned pWBT advocacy efforts, working with the disaster medicine program at Ivano-Frankivsk Medical National University to create a local lead advocate. Existing and novel coordination mechanisms were used to unite and inform MoH, World Health Organization, Non-Governmental Organizations, and local health systems. Finally, TR coordinated a multispecialty, multi-national team of healthcare providers who developed and delivered a training package in alignment with national guidelines utilizing a combination of didactics, videos, and demonstrations. From August to October of 2022, TR conducted pWBT trainings across Ukraine. Pre- and post-surveys were utilized to determine comfort with pWBT and usefulness of the training.

TR emerged as the point of reference for pWBT in Ukraine. 109 individuals from over 14 organizations were trained. Participants included 69 physicians, 23 paramedics, 7 nurses, and 10 other professionals. 95% of those surveyed had not received prior pWBT training. Participants reported increased comfort levels, with average pre- and post-course comfort scores of 1.7 and 3.2 (4=very comfortable), respectively. The majority of participants found the training useful (average score of 3.8, 4=very useful). Feedback demonstrated high satisfaction ratings and an increased awareness of the regulatory changes.

TR utilized the A3 model to drive a coalition that supported policy reform and trauma system improvements in Ukraine. TR’s ability to leverage international medical expertise, work collaboratively with MoH, and provide material resources supported local implementation of pWBT.

Despite the public health burden of traumatic brain injury (TBI) across broader society, most TBI studies have been isolated to a distinct subpopulation. The TBI research literature is fragmented further because often studies of distinct populations have used different assessment procedures and instruments. Addressing calls to harmonize the literature will require tools to link data collected from different instruments that measure the same construct, such as civilian mild traumatic brain injury (mTBI) and sports concussion symptom inventories.

We used item response theory (IRT) to link scores from the Rivermead Post Concussion Symptoms Questionnaire (RPQ) and the Sport Concussion Assessment Tool (SCAT) symptom checklist, widely used instruments for assessing civilian and sport-related mTBI symptoms, respectively. The sample included data from n = 397 patients who suffered a sports-related concussion, civilian mTBI, orthopedic injury control, or non-athlete control and completed the SCAT and/or RPQ.

The results of several analyses supported sufficient unidimensionality to treat the RPQ + SCAT combined item set as measuring a single construct. Fixed-parameter IRT was used to create a cross-walk table that maps RPQ total scores to SCAT symptom severity scores. Linked and observed scores were highly correlated (r = .92). Standard errors of the IRT scores were slightly higher for civilian mTBI patients and orthopedic controls, particularly for RPQ scores linked from the SCAT.

By linking the RPQ to the SCAT we facilitated efforts to effectively combine samples and harmonize data relating to mTBI.