Identifying Patient Subpopulations with Significant Race-Sex Differences in Emergency Department Disposition Decisions.

Background/objectives: The race-sex differences in emergency department (ED) disposition decisions have been reported widely. Our objective is to identify demographic and clinical subgroups for which this difference is most pronounced, which will facilitate future targeted research on potential disparities and interventions. Methods: We performed a retrospective analysis of 93 987 White and African-American adults assigned an Emergency Severity Index of 3 at 3 large EDs from January 2019 to February 2020. Using random forests, we identified the Elixhauser comorbidity score, age, and insurance status as important variables to divide data into subpopulations. Logistic regression models were then fitted to test race-sex differences within each subpopulation while controlling for other patient characteristics and ED conditions. Results: In each subpopulation, African-American women were less likely to be admitted than White men with odds ratios as low as 0.304 (95% confidence interval (CI): [0.229, 0.404]). African-American men had smaller admission odds compared to White men in subpopulations of 41+ years of age or with very low/high Elixhauser scores, odds ratios being as low as 0.652 (CI: [0.590, 0.747]). White women were less likely to be admitted than White men in subpopulations of 18 to 40 or 41 to 64 years of age, with low Elixhauser scores, or with Self-Pay or Medicaid insurance status with odds ratios as low as 0.574 (CI: [0.421, 0.784]). Conclusions: While differences in likelihood of admission were lessened by younger age for African-American men, and by older age, higher Elixhauser score, and Medicare or Commercial insurance for White women, they persisted in all subgroups for African-American women. In general, patients of age 64 years or younger, with low comorbidity scores, or with Medicaid or no insurance appeared most prone to potential disparities in admissions.

Practice Patterns of Cardiovascular Magnetic Resonance Use in the Diagnosis of Pediatric Myocarditis: A Survey-Based Study.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is used to diagnose myocarditis in adults and children based on the original Lake Louise Criteria (LLC) and more recently the revised LLC. The major change included in the revised LLC was the incorporation of parametric mapping, which significantly increases the sensitivity and specificity of diagnosis. Subsequently, scientific statements have recommended the use of parametric mapping in the diagnosis of myocarditis in children. However, there are some challenges to parametric mapping that are unique to the pediatric population. Our goal is to characterize clinical CMR and parametric mapping practice patterns for diagnosis of myocarditis in pediatric centers. METHODS: The Cardiovascular Magnetic Resonance Evaluation in Return to Athletes for Myocarditis in COVID-19 and Immunization Consortium created a REDCap survey to evaluate clinical practice patterns for diagnosis of myocarditis in pediatrics. This survey was distributed to the Society for Cardiovascular Magnetic Resonance community. RESULTS: 59 responses from 51 centers were received, with only one response from each center being utilized. Only 35% of centers (37% of North America, 31% of international) reported using CMR routinely in all patients with a suspicion for myocarditis. Diagnostic uncertainty was noted as the most important reason for CMR, while cost was noted as the least important consideration. The majority of centers reported using the revised LLC (37/51, 72%) compared to original LLC (7/51, 14%) or a hybrid criteria (6/51, 12%). When looking at the use of parametric mapping, only 5/47 (11%) for T1 mapping and 11/49 (22%) for T2 mapping reported having scanner-specific pediatric normative data. CONCLUSION: Routine CMR imaging for diagnosis of myocarditis in pediatrics is infrequently performed at surveyed centers despite the focus on a group of non-invasive cardiac imagers. While the majority reported using parametric mapping, few centers reporting having pediatric scanner-specific normative data. This highlights an important gap in the utilization of CMR that may aid in the diagnosis of myocardial disease.

Rural-urban differences in emergency medical services bypass routing of stroke in North Carolina.

PURPOSE: Acute stroke is a serious, time-sensitive condition requiring immediate medical attention. Emergency medical services (EMS) routing and direct transport of acute stroke patients to stroke centers improves timely access to care. This study aimed to describe EMS stroke routing and transports by rurality in North Carolina (NC). METHODS: We conducted a retrospective study using existing data on EMS transports of suspected stroke patients in NC in 2019. The primary study outcome was EMS bypass of the nearest hospital for transport to a nonnearest hospital, determined by geographic information systems (GIS) analysis. Incident addresses were geocoded to census tracts and classified as urban, suburban, or rural by Rural-Urban Commuting Area codes. We compared the frequency of bypass and estimated additional transport times by urban, suburban, and rural incident locations. FINDINGS: Of 3666 patients, 1884 (51%) EMS transports bypassed the nearest hospital. Bypass occurred less often for rural EMS incidents (39%) compared to those in urban (57%) and suburban (63%) tracts. The estimated additional transport time for rural bypasses of nonendovascular-capable stroke centers for endovascular-capable stroke centers was a median of 25 min (interquartile range 13-33). CONCLUSIONS: Using GIS analysis, we found nearly half of EMS transports of suspected stroke patients in NC bypassed the nearest hospital, including noncertified hospitals and stroke centers. Bypasses occurred less often in rural areas, though incurred significantly longer transport times, compared to urban areas. These findings are important for regional stroke system planning, especially for improving rural access to acute stroke care.

Occupation, Retirement Age, and 20-Year Cognitive Decline: The Atherosclerosis Risk in Communities Neurocognitive Study.

INTRODUCTION: We examined the association of both midlife occupation and age at retirement with cognitive decline in the Atherosclerosis Risk in Communities (ARIC) biracial community-based cohort. METHODS: Current or most recent occupation at ARIC baseline (1987-1989; aged 45-64 years) was categorized based on 1980 US Census major occupation groups and tertiles of the Nam-Powers-Boyd occupational status score (n = 14,090). Retirement status via annual follow-up questionnaires administered ascertained in 1999-2007 was classified as occurring before or after age 70 (n = 7,503). Generalized estimating equation models were used to examine associations of occupation and age at retirement with trajectories of global cognitive factor scores, assessed from visit 2 (1990-1992) to visit 5 (2011-2013). Models were a priori stratified by race and sex and adjusted for demographics and comorbidities. RESULTS: Low occupational status and blue-collar occupations were associated with low baseline cognitive scores in all race-sex strata. Low occupational status and homemaker status were associated with faster decline in white women but slower decline in black women compared to high occupational status. Retirement before age 70 was associated with slower cognitive decline in white men and women and in black men. Results did not change substantially after accounting for attrition. CONCLUSION: Low occupational status was associated with cognitive decline in women but not in men. Earlier retirement was associated with a slower cognitive decline in white participants and in black men. Further research should explore reasons for the observed associations and race-sex differences.

Right and left ventricular cardiac magnetic resonance imaging derived peak systolic strain is abnormal in children with myocarditis.

PURPOSE: Cardiac Magnetic resonance (CMR) derived left ventricular longitudinal and circumferential strain is known to be abnormal in myocarditis. CMR strain is a useful additional tool that can identify subclinical myocardial involvement and may help with longitudinal follow-up. Right ventricular strain derived by CMR in children has not been studied. We sought to evaluate CMR derived biventricular strain in children with acute myocarditis. METHODS: Children with acute myocarditis who underwent CMR between 2016-2022 at our center were reviewed, this group included subjects with COVID-19 myocarditis. Children with no evidence of myocarditis served as controls Those with congenital heart disease and technically limited images for CMR strain analysis were excluded from final analysis. Biventricular longitudinal, circumferential, and radial peak systolic strains were derived using circle cvi42®. Data between cases and controls were compared using an independent sample t-test. One-way ANOVA with post hoc analysis was used to compare COVID-19, non-COVID myocarditis and controls. RESULTS: 38 myocarditis and 14 controls met inclusion criteria (mean age 14.4 ± 3 years). All CMR derived peak strain values except for RV longitudinal strain were abnormal in myocarditis group. One-way ANOVA revealed that there was a statistically significant difference with abnormal RV and LV strain in COVID-19 myocarditis when compared to non-COVID-19 myocarditis and controls. CONCLUSION: CMR derived right and left ventricular peak systolic strain using traditionally acquired cine images were abnormal in children with acute myocarditis. All strain measurements were significantly abnormal in children with COVID-19 even when compared to non-COVID myocarditis.

Patient sex, racial and ethnic disparities in emergency department triage: A multi-site retrospective study.

OBJECTIVES: There is limited evidence on sex, racial, and ethnic disparities in Emergency Department (ED) triage across diverse settings. We evaluated differences in the assignment of Emergency Severity Index (ESI) by patient sex and race/ethnicity, accounting for age, clinical factors, and ED operating conditions. METHODS: We conducted a multi-site retrospective study of adult patients presenting to high-volume EDs from January 2019-February 2020. Patient-level data were obtained and analyzed from three EDs (academic, metropolitan community, and rural community) affiliated with a large health system in the Southeastern United States. For the study outcome, ESI levels were grouped into three categories: 1-2 (highest acuity), 3, and 4-5 (lowest acuity). Multinomial logistic regression was used to compare ESI categories by patient race/ethnicity and sex jointly (referent = White males), adjusted for patient age, insurance status, ED arrival mode, chief complaint category, comorbidity score, time of day, day of week, and average ED wait time. RESULTS: We identified 186,840 eligible ED visits with 56,417 from the academic ED, 69,698 from the metropolitan community ED, and 60,725 from the rural community ED. Patient cohorts between EDs varied by patient age, race/ethnicity, and insurance status. The majority of patients were assigned ESI 3 in the academic and metropolitan community EDs (61% and 62%, respectively) whereas 47% were assigned ESI 3 in the rural community ED. In adjusted analyses, White females were less likely to be assigned ESI 1-2 compared to White males although both groups were roughly comparable in the assignment of ESI 4-5. Non-White and Hispanic females were generally least likely to be assigned ESI 1-2 in all EDs. Interactions between ED wait time and race/ethnicity-sex were not statistically significant. CONCLUSIONS: This retrospective study of adult ED patients revealed sex and race/ethnicity-based differences in ESI assignment, after accounting for age, clinical factors, and ED operating conditions. These disparities persisted across three different large EDs, highlighting the need for ongoing research to address inequities in ED triage decision-making and associated patient-centered outcomes.

In-Hospital Code Status Updates: Trends Over Time and the Impact of COVID-19.

OBJECTIVE: The primary objective was to evaluate if the percentage of patients with missing or inaccurate code status documentation at a Trauma Level 1 hospital could be reduced through daily updates. The secondary objective was to examine if patient preferences for DNR changed during the COVID-19 pandemic. METHODS: This retrospective study, spanning March 2019 to December 2022, compared the code status in ICU and ED patients drawn from two data sets. The first was based on historical electronic medical records (EHR), and the second involved daily updates of code status following patient admission. RESULTS: Implementing daily updates upon admission was more effective in ICUs than in the ED in reducing missing code status documentation. Around 20% of patients without a specific code status chose DNR under the new system. During COVID-19, a decrease in ICU patients choosing DNR and an increase in full code (FC) choices were observed. CONCLUSION: This study highlights the importance of regular updates and discussions regarding code status to enhance patient care and resource allocation in ICU and ED settings. The COVID-19 pandemic's influence on shifting patient preferences towards full code status underscores the need for adaptable documentation practices. Emphasizing patient education about DNR implications and benefits is key to supporting informed decisions that reflect individual health contexts and values. This approach will help balance the considerations for DNR and full code choices, especially during health care crises.

Effectiveness of a Novel Rapid Infusion Device and Clinician Education for Early Fluid Therapy by Emergency Medical Services in Sepsis Patients: A Pre-Post Observational Study.

OBJECTIVE: Emergency medical services (EMS) clinicians are tasked with early fluid resuscitation for patients with sepsis. Traditional methods for prehospital fluid delivery are limited in speed and ease-of-use. We conducted a comparative effectiveness study of a novel rapid infusion device for prehospital fluid delivery in suspected sepsis patients. METHODS: This pre-post observational study evaluated a hand-operated, rapid infusion device in a single large EMS system from July 2021-July 2022. Prior to device deployment, EMS clinicians completed didactic and simulation-based device training. Data were extracted from the EMS electronic health record. Eligible patients included adults with suspected sepsis treated by EMS with intravenous fluids. The primary outcome was the proportion of patients receiving goal fluid volume (at least 500 mL) prior to hospital arrival. Secondary outcomes included in-hospital mortality, disposition, and length of stay. Multivariable logistic regression was used to compare outcomes between 6-month pre- and post-implementation periods (July-December 2021 and February-July 2022, respectively), adjusting for patient demographics, abnormal prehospital vital signs, and EMS transport interval. RESULTS: Of 1,180 eligible patients (552 in the pre-implementation period; 628 in the post-implementation period), the mean age was 72 years old, 45% were female, and 25% were minority race-ethnicity. Median (interquartile range) fluid volume (in mL) increased between the pre- and post-implementation periods (600 [400,1,000] and 850 [500-1,000], respectively). Goal fluid volume was achieved in 70% of pre-implementation patients and 82% of post-implementation patients. In adjusted analysis, post-implementation patients were significantly more likely to receive goal fluid volume than pre-implementation patients (adjusted odds ratio (aOR) 2.00, 95% confidence interval (CI) 1.51-2.66). Pre-post in-hospital mortality was not significantly different (aOR 0.91, 95% CI 0.59-1.39). CONCLUSION: In a single EMS system, sepsis education and introduction of a rapid infusion device was associated with achieving goal fluid volume for suspected sepsis. Further research is needed to assess the clinical effectiveness of infusion device implementation to improve sepsis patient outcomes.

Community Socioeconomic and Urban-Rural Disparities in Prehospital Notification of Stroke by Emergency Medical Services in North Carolina.

OBJECTIVES: Notification by emergency medical services (EMS) to the destination hospital of an incoming suspected stroke patient is associated with timelier in-hospital evaluation and treatment. Current data on adherence to this evidence-based best practice are limited, however. We examined the frequency of EMS stroke prenotification in North Carolina by community socioeconomic status (SES) and rurality. METHODS: Using a statewide database of EMS patient care reports, we selected 9-1-1 responses in 2019 with an EMS provider impression of stroke or documented stroke care protocol use. Eligible patients were 18 years old and older with a completed prehospital stroke screen. Incident street addresses were geocoded to North Carolina census tracts and linked to American Community Survey socioeconomic data and urban-rural commuting area codes. High, medium, and low SES tracts were defined by SES index tertiles. Tracts were classified as urban, suburban, and rural. We used multivariable logistic regression to estimate independent associations between tract-level SES and rurality with EMS prenotification, adjusting for patient age, sex, and race/ethnicity; duration of symptoms; incident day of week and time of day; 9-1-1 dispatch complaint; EMS provider primary impression; and prehospital stroke screen interpretation. RESULTS: The cohort of 9527 eligible incidents was mostly at least 65 years old (65%), female (55%), and non-Hispanic White (71%). EMS prenotification occurred in 2783 (29%) patients. Prenotification in low SES tracts (27%) occurred less often than in medium (30%) and high (32%) SES tracts. Rural tracts had the lowest frequency (21%) compared with suburban (28%) and urban (31%) tracts. In adjusted analyses, EMS prenotification was less likely in low SES (vs high SES; odds ratio 0.76, 95% confidence interval 0.67-0.88) and rural (vs urban; odds ratio 0.64, 95% confidence interval 0.52-0.77) tracts. CONCLUSIONS: Across a large, diverse population, EMS prenotification occurred in only one-third of suspected stroke patients. Furthermore, low SES and rural tracts were independently associated with a lower likelihood of prehospital notification. These findings suggest the need for education and quality improvement initiatives to increase EMS stroke prenotification, particularly in underserved communities.

Computed Tomography Tissue Characterization of Pediatric Cardiac Tumor.

Little is known about tissue characterization of cardiac tumors by dedicated cardiac computed tomography (CT) protocols in pediatric patients. We report using arterial and delayed CT acquisitions to characterize a large left ventricular free wall tumor in a 12-year-old female with congenital mitral insufficiency and an automatic implantable cardioverter defibrillator. (Level of Difficulty: Intermediate.).

Statewide availability of acute stroke treatment, services, and programs: A survey of North Carolina Hospitals.

INTRODUCTION: We conducted a statewide assessment of the availability of stroke treatment, services, and programs in North Carolina (NC) hospitals. We also examined differences in stroke care capabilities between urban, suburban, and rural hospitals and trends over the past 2 decades. METHODS: An electronic survey was distributed to all 111 licensed hospitals in NC. Survey questions asked about stroke center certification status (i.e., standardized levels of stroke care capabilities), diagnostic testing, acute treatments and protocols, and post-acute management. Responses were collected from October 2020-April 2021. Select characteristics were compared to those from prior NC surveys in 1998, 2003, and 2008. RESULTS: All 111 hospitals responded to the survey (100% response rate). Among 108 hospitals providing acute stroke care, 12 (11%) were Comprehensive Stroke Centers or Thrombectomy-Capable Stroke Centers, which were all located in urban or suburban areas. While 38% of urban/suburban hospitals were non-certified, 48% of rural hospitals were non-certified. Non-contrast computed tomography (CT), CT angiography, and alteplase treatment were widely available (100%, 95%, and 99%, respectively). Endovascular thrombectomy was solely available in urban/suburban hospitals (29%). Of non-tertiary hospitals, 81% were using telestroke for treatment and transfer decisions. Compared to prior survey results, the availability of CT angiography (76% in 2008 to 95% in 2020-2021), alteplase treatment (69% in 2008 to 99% in 2020-2021), and acute stroke clinical pathways (47% in 2008 to 90% in 2020-2021) increased. However, having an in-house neurologist on staff dropped from approximately 55% in prior surveys to 21% in the current survey. CONCLUSIONS: Rural NC hospitals were less likely to have advanced diagnostic imaging and treatment capabilities for acute stroke. Temporal trends in staffing with an in-house neurologist and use of telestroke services should be further examined.

Prehospital Fluid Administration for Suspected Sepsis in a Large EMS System: Opportunities to Improve Goal Fluid Delivery.

OBJECTIVES: Despite EMS-implemented screening and treatment protocols for suspected sepsis patients, prehospital fluid therapy is variable. We sought to describe prehospital fluid administration in suspected sepsis patients, including demographic and clinical factors associated with fluid outcomes. METHODS: A retrospective cohort of adult patients from a large, county-wide EMS system from January 2018-February 2020 was identified. Patient care reports for suspected sepsis were included, as identified by EMS clinician impression of sepsis, or keywords "sepsis" or "septic" in the narrative. Outcomes were the proportions of suspected sepsis patients for whom intravenous (IV) therapy was attempted and those who received ≥500 mL IV fluid if IV access was successful. Associations between patient demographics and clinical factors with fluid outcomes were estimated with multivariable logistic regression adjusting for transport interval. RESULTS: Of 4,082 suspected sepsis patients identified, the mean patient age was 72.5 (SD 16.2) years, 50.6% were female, and 23.8% were Black. Median (interquartile range [IQR]) transport interval was 16.5 (10.9-23.2) minutes. Of identified patients, 1,920 (47.0%) had IV fluid therapy attempted, and IV access was successful in 1,872 (45.9%). Of those with IV access, 1,061 (56.7%) received ≥500mL of fluid from EMS. In adjusted analyses, female (versus male) sex (odds ratio [OR] 0.79, 95% confidence interval [CI] 0.69-0.90), Black (versus White) race (OR 0.57, 95% CI 0.49-0.68), and end stage renal disease (OR 0.51, 95% CI 0.32-0.82) were negatively associated with attempted IV therapy. Systolic blood pressure (SBP) <90 mmHg (OR 3.89, 95% CI 3.25-4.65) and respiratory rate >20 (OR 1.90, 95% CI 1.61-2.23) were positively associated with attempted IV therapy. Female sex (OR 0.72, 95% CI 0.59-0.88) and congestive heart failure (CHF) (OR 0.55, 95% CI 0.40-0.75) were negatively associated with receiving goal fluid volume while SBP <90 mmHg (OR 2.30, 95% CI 1.83-2.88) and abnormal temperature (>100.4 F or <96 F) (OR 1.41, 95% CI 1.16-1.73) were positively associated. CONCLUSIONS: Fewer than half of EMS sepsis patients had IV therapy attempted, and of those, approximately half met fluid volume goal, especially when hypotensive and no CHF. Further studies are needed on improving EMS sepsis training and prehospital fluid delivery.

Do We Need a New Nomenclature for Atypical Antipsychotics? A Survey of Health Care Professionals and Patients.

Objective: The current nomenclature for atypical antipsychotics does not indicate that they are used to treat nonpsychotic conditions (eg, bipolar disorder, major depressive disorder), which could have negative implications for both health care providers (HCPs) and patients. The objective of this study was to evaluate how the atypical antipsychotic class name affects HCPs who treat bipolar disorder and patients who receive the diagnosis.Methods: Nationwide surveys of primary care and psychiatric HCPs (n = 200) and patients with bipolar disorder (n = 200) were conducted to assess perspectives regarding current atypical antipsychotic nomenclature. HCP opinion about a change in class name was also evaluated. The self-administered electronic surveys were completed by HCPs from May 22, 2020, to June 1, 2020, and by patients from August 25, 2020, to September 7, 2020.Results: Compared with the mood stabilizer class name, the atypical antipsychotic name elicited stronger negative feelings from both HCPs and patients. Most HCPs avoided bringing up the atypical antipsychotic name with patients (72%), often due to fear of negative reactions. Despite being approved for bipolar mania and depression, only 48% and 39% of HCPs indicated that atypical antipsychotics were appropriate for these disorders, respectively. If an appropriate alternative for the term atypical antipsychotic was available for bipolar disorder, 71% of HCPs said they were likely to change their class-related behaviors. Most patients had never heard of the atypical antipsychotic class name (69%). Significantly more patients had negative reactions (eg, worry, fear, confusion) to the idea of their HCP prescribing an atypical antipsychotic versus a mood stabilizer (25% vs 6%). Compared with mood stabilizers, patients were less likely to take an atypical antipsychotic immediately as prescribed.Conclusions: Significantly more HCPs and patients had negative reactions to atypical antipsychotic nomenclature compared with mood stabilizer nomenclature for treating bipolar disorder. The broad descriptive atypical antipsychotic class name may not support the standard of care for the treatment of bipolar disorder.

Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina.

OBJECTIVE: Our objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality. METHODS: This cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics. RESULTS: We identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts. CONCLUSIONS: While community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

The efficacy of cariprazine on cognition: a post hoc analysis from phase II/III clinical trials in bipolar mania, bipolar depression, and schizophrenia.

OBJECTIVE: To investigate the effect of cariprazine on cognitive symptom change across bipolar I disorder and schizophrenia. METHODS: Post hoc analyses of 3- to 8-week pivotal studies in bipolar I depression and mania were conducted; one schizophrenia trial including the Cognitive Drug Research System attention battery was also analyzed. Outcomes of interest: Montgomery-Åsberg Depression Rating Scale [MADRS], Functioning Assessment Short Test [FAST], Positive and Negative Syndrome Scale [PANSS]). LSMDs in change from baseline to end of study were reported in the overall intent-to-treat population and in patient subsets with specified levels of baseline cognitive symptoms or performance. RESULTS: In patients with bipolar depression and at least mild cognitive symptoms, LSMDs were statistically significant for cariprazine vs placebo on MADRS item 6 (3 studies; 1.5 mg=-0.5 [P<.001]; 3 mg/d=-0.2 [P<.05]) and on the FAST Cognitive subscale (1 study; 1.5 mg/d=-1.4; P=.0039). In patients with bipolar mania and at least mild cognitive symptoms, the LSMD in PANSS Cognitive subscale score was statistically significant for cariprazine vs placebo (3 studies; -2.1; P=.001). In patients with schizophrenia and high cognitive impairment, improvement in power of attention was observed for cariprazine 3 mg/d vs placebo (P=.0080), but not for cariprazine 6 mg/d; improvement in continuity of attention was observed for cariprazine 3 mg/d (P=.0012) and 6 mg/d (P=.0073). CONCLUSION: These post hoc analyses provide preliminary evidence of greater improvements for cariprazine vs placebo across cognitive measures in patients with bipolar I depression and mania, and schizophrenia, suggesting potential benefits for cariprazine in treating cognitive symptoms.

EMS Involvement in COVID-19 Vaccination Efforts - Results of a North Carolina Statewide Survey.

Objective: The COVID-19 pandemic has necessitated the vaccination of large numbers of people across the United States, mobilizing public health resources on a massive scale. The purpose of this study is to determine how emergency medical services (EMS) clinicians and agencies in North Carolina have been utilized in these vaccination efforts.Methods: This retrospective survey was sent to EMS medical directors and EMS system administrators for all 100 county EMS systems in North Carolina. Participation was voluntary, and survey questions asked about the contribution of EMS systems to vaccination efforts, the levels of EMS clinicians being utilized, the activities carried out by those clinicians, and any identifiable barriers to EMS involvement in COVID-19 vaccination efforts.Results: Ninety-eight of the 100 counties in North Carolina responded to the survey, with 88 contributing to vaccination efforts in the communities. Reasons cited by the 10 counties for not being involved in vaccination efforts include: county health departments not needing assistance (two counties), vaccine hesitancy amongst clinicians and the politicization of COVID (three counties), inadequate staffing (one county), and the presence of "robust vaccination clinics" in the community (one county). An additional 12 counties listed staffing shortages as limiting their vaccination efforts. Among the counties supporting vaccine efforts, activities included planning and logistics (54 counties), non-medical roles (38 counties), vaccine preparation (35 counties), medical screening pre-vaccination (41 counties), vaccine administration (74 counties), medical observation post-vaccination (79 counties), and home vaccinations (53 counties). Of the 74 counties that used EMS personnel in vaccine administration, 27 used EMTs (37%), 36 used Advanced EMTs (49%), and 73 used Paramedics (99%).Conclusion: This study demonstrates the large role that EMS clinicians and systems have played and continue to play in COVID-19 vaccination efforts in the state of North Carolina, including planning and logistics, patient screening and observation, vaccine preparation and administration, and home vaccination. Furthermore, it supports the expanded use of EMTs as a potential vaccination workforce. As the public health response to this pandemic continues, EMS clinicians and systems are a valuable resource to their communities and states.

Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers.

Introduction: The COVID-19 pandemic response has demonstrated the interconnectedness of individuals, organizations, and other entities jointly contributing to the production of community health. This response has involved stakeholders from numerous sectors who have been faced with new decisions, objectives, and constraints. We examined the cross-sector organizational decision landscape that formed in response to the COVID-19 pandemic in North Carolina. Methods: We conducted virtual semi-structured interviews with 44 organizational decision-makers representing nine sectors in North Carolina between October 2020 and January 2021 to understand the decision-making landscape within the first year of the COVID-19 pandemic. In line with a complexity/systems thinking lens, we defined the decision landscape as including decision-maker roles, key decisions, and interrelationships involved in producing community health. We used network mapping and conventional content analysis to analyze transcribed interviews, identifying relationships between stakeholders and synthesizing key themes. Results: Decision-maker roles were characterized by underlying tensions between balancing organizational mission with employee/community health and navigating organizational vs. individual responsibility for reducing transmission. Decision-makers' roles informed their perspectives and goals, which influenced decision outcomes. Key decisions fell into several broad categories, including how to translate public health guidance into practice; when to institute, and subsequently loosen, public health restrictions; and how to address downstream social and economic impacts of public health restrictions. Lastly, given limited and changing information, as well as limited resources and expertise, the COVID-19 response required cross-sector collaboration, which was commonly coordinated by local health departments who had the most connections of all organization types in the resulting network map. Conclusions: By documenting the local, cross-sector decision landscape that formed in response to COVID-19, we illuminate the impacts different organizations may have on information/misinformation, prevention behaviors, and, ultimately, health. Public health researchers and practitioners must understand, and work within, this complex decision landscape when responding to COVID-19 and future community health challenges.

Disparities in emergency department prioritization and rooming of patients with similar triage acuity score.

BACKGROUND: We identify patient demographic and emergency department (ED) characteristics associated with rooming prioritization decisions among ED patients who are assigned the same triage acuity score. METHODS: We performed a retrospective analysis of adult ED patients with similar triage acuity, as defined as an Emergency Severity Index (ESI) of 3, at a large academic medical center, during 2019. Violations of a first-come-first-served (FCFS) policy for rooming are identified and used to create weighted multiple logistic regression models and 1:M matched case-control conditional logistic regression models to determine how rooming prioritization is affected by individual patient age, sex, race, and ethnicity after adjusting for patient clinical and time-varying ED operational characteristics. RESULTS: A total of 15,781 ED encounters were analyzed, with 1612 (10.2%) ED encounters having a rooming prioritization in violation of a FCFS policy. Patient age and race were found to be significantly associated with being prioritized in violation of FCFS in both logistic regression models. The 1:M matched model showed a statistically significant relationship between violation of rooming prioritization with increasing age in years (adjusted odds ratio [aOR] 1.009, 95% confidence interval [CI] 1.005-1.013) and among African American patients compared to Caucasians (aOR 0.636, 95% CI 0.545-0.743). CONCLUSIONS: Among ED patients with a similar triage acuity (ESI 3), we identified patient age and patient race as characteristics that were associated with deviation from a FCFS prioritization in ED rooming decisions. These findings suggest that there may be patient demographic disparities in ED rooming decisions after adjusting for clinical and ED operational characteristics.

Use of Modeling to Inform Decision Making in North Carolina during the COVID-19 Pandemic: A Qualitative Study.

Background. The COVID-19 pandemic has popularized computer-based decision-support models, which are commonly used to inform decision making amidst complexity. Understanding what organizational decision makers prefer from these models is needed to inform model development during this and future crises. Methods. We recruited and interviewed decision makers from North Carolina across 9 sectors to understand organizational decision-making processes during the first year of the COVID-19 pandemic (N = 44). For this study, we identified and analyzed a subset of responses from interviewees (n = 19) who reported using modeling to inform decision making. We used conventional content analysis to analyze themes from this convenience sample with respect to the source of models and their applications, the value of modeling and recommended applications, and hesitancies toward the use of models. Results. Models were used to compare trends in disease spread across localities, estimate the effects of social distancing policies, and allocate scarce resources, with some interviewees depending on multiple models. Decision makers desired more granular models, capable of projecting disease spread within subpopulations and estimating where local outbreaks could occur, and incorporating a broad set of outcomes, such as social well-being. Hesitancies to the use of modeling included doubts that models could reflect nuances of human behavior, concerns about the quality of data used in models, and the limited amount of modeling specific to the local context. Conclusions. Decision makers perceived modeling as valuable for informing organizational decisions yet described varied ability and willingness to use models for this purpose. These data present an opportunity to educate organizational decision makers on the merits of decision-support modeling and to inform modeling teams on how to build more responsive models that address the needs of organizational decision makers. Highlights: Organizations from a diversity of sectors across North Carolina (including public health, education, business, government, religion, and public safety) have used decision-support modeling to inform decision making during COVID-19.Decision makers wish for models to project the spread of disease, especially at the local level (e.g., individual cities and counties), and to help estimate the outcomes of policies.Some organizational decision makers are hesitant to use modeling to inform their decisions, stemming from doubts that models could reflect nuances of human behavior, concerns about the accuracy and precision of data used in models, and the limited amount of modeling available at the local level.

Vaccinating children against COVID-19 is crucial to protect schools and communities.

To evaluate the joint impact of childhood vaccination rates and school masking policies on community transmission and severe outcomes due to COVID-19, we utilized a stochastic, agent-based simulation of North Carolina to test 24 health policy scenarios. In these scenarios, we varied the childhood (ages 5 to 19) vaccination rate relative to the adult's (ages 20 to 64) vaccination rate and the masking relaxation policies in schools. We measured the overall incidence of disease, COVID-19-related hospitalization, and mortality from 2021 July 1 to 2023 July 1. Our simulation estimates that removing all masks in schools in January 2022 could lead to a 31% to 45%, 23% to 35%, and 13% to 19% increase in cumulative infections for ages 5 to 9, 10 to 19, and the total population, respectively, depending on the childhood vaccination rate. Additionally, achieving a childhood vaccine uptake rate of 50% of adults could lead to a 31% to 39% reduction in peak hospitalizations overall masking scenarios compared with not vaccinating this group. Finally, our simulation estimates that increasing vaccination uptake for the entire eligible population can reduce peak hospitalizations in 2022 by an average of 83% and 87% across all masking scenarios compared to the scenarios where no children are vaccinated. Our simulation suggests that high vaccination uptake among both children and adults is necessary to mitigate the increase in infections from mask removal in schools and workplaces.