Faculty Bibliography

The Association of Schools and Programs of Public Health convened a Task Force on Zero Tolerance of Harassment and Discrimination in 2019 to develop a policy statement and strategies for addressing harassment of all types in institutions offering public health education. We outline the premises and scholarly foundation for the development of the Statement of Commitment to Zero Tolerance of Harassment and Discrimination, the statement itself, and future plans for realizing the aspiration established in the statement. The development of this living document is predicated on the belief that it is the core responsibility of academic institutions to build the knowledge and that it is the responsibility of leaders, namely deans of schools of public health and directors of public health programs, to lead in building the shared knowledge and insist on the practices that create institutions for a better future free of harassment and discrimination. Our statement is informed by the knowledge that aggressions in the form of harassment and discrimination undermine the health and well-being of individuals, the public, and populations.

Impairments in both executive function and parent-child interactions are associated with child externalizing behavior, but few studies have tested the uniqueness of these associations in the first years of life. Addressing these gaps, the current study involved an international sample (N = 438; 218 boys) who, at 14 and 24 months, completed an innovative battery of executive function tasks and were filmed at home in dyadic interaction with their mothers, enabling detailed observational ratings of maternal support. In addition, parents rated infant temperament at 4 months and externalizing behavior at 14 and 24 months. Cross-lagged longitudinal analysis showed a unidirectional developmental association between executive function at 14 months and externalizing behavior at 24 months. In addition, infant negative affect moderated the inverse association between maternal support at 14 months and externalizing behavior at 24 months. The benefits of maternal support were only evident for children with low levels of negative affect in infancy. We discuss this finding in relation to theoretical models that highlight child effects (e.g., models of vantage sensitivity).

BACKGROUND:Osteopenia is common in the elderly, increasing their risk of sustaining cervical fractures after ground level falls (GLFs). We sought to examine the incidence of blunt cerebrovascular injury (BCVI) and subsequent stroke in elderly GLF patients as compared with other higher injury mechanisms. MATERIALS AND METHODS/METHODS:The Trauma Quality Improvement Program database (2011-2016) was used to identify blunt trauma patients with isolated (other body region abbreviated injury scale <3) cervical spine (C1-C7) fractures. Patients were stratified into three groups: nonelderly patients (<65) with all mechanisms of injury, elderly patients (≥65) with GLF, and elderly patients with all other mechanism of injury. Multivariable logistic regression was used to determine predictors for BCVI, stroke, spinal cord injury, and acute kidney injury. RESULTS:Seventeen thousand six hundred twenty-eight patients with cervical spine injuries were identified. BCVI was highest in the <65 group (0.8%) and lowest in elderly patients with GLF (0.3%, P = 0.001). When controlling for other factors, elderly patients with GLF were less likely to sustain BCVI (adjusted odds ratio: 0.46, P = 0.03) but had comparable rates of stroke attributable to BCVI (18.2% versus 6.5%, P = 0.184) and comparable rate of acute kidney injury compared with elderly patients with other mechanism of injury. CONCLUSIONS:In elderly patients with isolated cervical spine fracture after GLF, BCVI occurs less frequently but is associated with a comparable rate of stroke as compared with other mechanisms. Low injury mechanism should not preclude BCVI screening in the presence of cervical spine fractures.

BACKGROUND:Internet data can be used to improve infectious disease models. However, the representativeness and individual-level validity of internet-derived measures are largely unexplored as this requires ground truth data for study. OBJECTIVE:This study sought to identify relationships between Web-based behaviors and/or conversation topics and health status using a ground truth, survey-based dataset. METHODS:This study leveraged a unique dataset of self-reported surveys, microbiological laboratory tests, and social media data from the same individuals toward understanding the validity of individual-level constructs pertaining to influenza-like illness in social media data. Logistic regression models were used to identify illness in Twitter posts using user posting behaviors and topic model features extracted from users' tweets. RESULTS:Of 396 original study participants, only 81 met the inclusion criteria for this study. Of these participants' tweets, we identified only two instances that were related to health and occurred within 2 weeks (before or after) of a survey indicating symptoms. It was not possible to predict when participants reported symptoms using features derived from topic models (area under the curve [AUC]=0.51; P=.38), though it was possible using behavior features, albeit with a very small effect size (AUC=0.53; P≤.001). Individual symptoms were also generally not predictable either. The study sample and a random sample from Twitter are predictably different on held-out data (AUC=0.67; P≤.001), meaning that the content posted by people who participated in this study was predictably different from that posted by random Twitter users. Individuals in the random sample and the GoViral sample used Twitter with similar frequencies (similar @ mentions, number of tweets, and number of retweets; AUC=0.50; P=.19). CONCLUSIONS:To our knowledge, this is the first instance of an attempt to use a ground truth dataset to validate infectious disease observations in social media data. The lack of signal, the lack of predictability among behaviors or topics, and the demonstrated volunteer bias in the study population are important findings for the large and growing body of disease surveillance using internet-sourced data.

SARS-CoV-2 is the virus that causes coronavirus disease (COVID-19) which has reached pandemic levels resulting in significant morbidity and mortality affecting every inhabited continent. The large number of patients requiring intensive care threatens to overwhelm healthcare systems globally. Likewise, there is a compelling need for a COVID-19 disease severity test to prioritize care and resources for patients at elevated risk of mortality. Here, an integrated point-of-care COVID-19 Severity Score and clinical decision support system is presented using biomarker measurements of C-reactive protein (CRP), N-terminus pro B type natriuretic peptide (NT-proBNP), myoglobin (MYO), D-dimer, procalcitonin (PCT), creatine kinase-myocardial band (CK-MB), and cardiac troponin I (cTnI). The COVID-19 Severity Score combines multiplex biomarker measurements and risk factors in a statistical learning algorithm to predict mortality. The COVID-19 Severity Score was trained and evaluated using data from 160 hospitalized COVID-19 patients from Wuhan, China. Our analysis finds that COVID-19 Severity Scores were significantly higher for the group that died versus the group that was discharged with median (interquartile range) scores of 59 (40-83) and 9 (6-17), respectively, and area under the curve of 0.94 (95% CI 0.89-0.99). These promising initial models pave the way for a point-of-care COVID-19 Severity Score system to impact patient care after further validation with externally collected clinical data. Clinical decision support tools for COVID-19 have strong potential to empower healthcare providers to save lives by prioritizing critical care in patients at high risk for adverse outcomes.

OBJECTIVES/UNASSIGNED:The objective of this study is to identify contextual access factors to home and community health services for end-of-life support for older adults with serious life-limiting illness, as well as determine if access to home and community services is associated with health-care utilization. DESIGN/UNASSIGNED:This study includes an environmental scan, grey literature review, qualitative interviews, and health-care utilization analysis. This study is a subproject of the Grudzen et al. Primary Palliative Care for Emergency Medicine (PRIM-ER) study. SETTINGS/LOCATION/UNASSIGNED:Analysis will include data collection from 17 health systems implementing the PRIM-ER intervention. PARTICIPANTS/UNASSIGNED:For the qualitative interviews, one emergency medicine (EM) physician and one EM nurse will be interviewed from each of the 17 participating health systems. For the health-care utilization analysis, we will use the Senior Care Services Scale (SCSS), American Hospital Association Annual Survey of Hospitals (AHA-ASH), and Medicare claims for all emergency department (ED) visits for serious illness who present at each participating health system. OUTCOME MEASURES/UNASSIGNED:The contextual analysis will obtain data on home and community services, such as hospice, home health services, assisted living, integrative medicine services, etc., available around each health system's highest volume ED, federal and state regulations influencing access to services, as well as EM provider perspectives on access to services. The health-care utilization analysis will determine if SCSS scores, which measure service availability, are associated with health-care usage. High or low SCSS scores are determined by comparing health system service availability on the AHA-ASH to the national median SCSS value.

INTRODUCTION/BACKGROUND:Persons living with Alzheimer's disease and related dementias (ADRD) frequently experience pain and behavioral and psychological symptoms of dementia (BPSD) which decrease quality of life (QOL) and influence caregiver burden. Home healthcare professionals however may underrecognize or lack the ability to manage BPSD. INTERVENTION/METHODS:This protocol describes an ADRD palliative quality assurance performance improvement program for home healthcare, Aliviado Dementia Care-Home Health Edition. It includes training, mentoring, and a toolbox containing intervention strategies. METHODS:This embedded pragmatic clinical trial will utilize a multi-site, cluster randomized control design. Recruitment will occur from three home healthcare agencies located in New Jersey, Utah, and Florida. At each agency, care teams will be randomized as clusters and assigned to either the Aliviado Dementia Care program or usual care. We plan to enroll 345 persons living with ADRD and their informal caregiver dyads. The primary outcome will be to measure QOL in both the person living with ADRD and their informal caregiver, and emergency department visits and hospital admissions. Secondary outcomes in the person living with ADRD will include the examination of pain, BPSD, antipsychotic and analgesic use. Secondary outcomes in caregivers include burden, depressive symptoms, functional health and wellbeing, and healthcare utilization. CONCLUSION/CONCLUSIONS:This study will be the first large-scale embedded pragmatic clinical trial in home healthcare focused on care quality and outcomes in addressing QOL in ADRD. If proven successful, the intervention can then be disseminated to agencies throughout the country to improve the quality of care for this vulnerable, underserved population. TRIAL REGISTRATION/BACKGROUND:Clinical Trials.gov: NCT03255967.

BACKGROUND:Social media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication. OBJECTIVE:We, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score. METHODS:We included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month's sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016. RESULTS:0.19 vs 0.09; P<.001). Articles in the upper quantile of #SoME_Score were more than 5 times more likely to be among the upper quantile of those cites (odds ratio 5.61, 95% CI 4.70-6.73). CONCLUSIONS:Social media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.

Overdose of stimulant drugs has been associated with increased risk of adverse cardiovascular events (ACVE), some of which may be ascribed to endothelial dysfunction. The aims of this study were to evaluate biomarkers of endothelial dysfunction in emergency department (ED) patients with acute cocaine overdose and to assess the association between in-hospital ACVE in ED patients with any acute drug overdose. This was a prospective consecutive cohort study over 9 months (2015-2016) at two urban, tertiary-care hospital EDs. Consecutive adults (≥18 years) presenting with suspected acute drug overdose were eligible and separated into three groups: cocaine (n = 47), other drugs (n = 128), and controls (n = 11). Data were obtained from medical records and linked to waste serum specimens, sent as part of routine clinical care, for biomarker analysis. Serum specimens were collected and analyzed using enzyme-linked immunosorbent assay kit for three biomarkers of endothelial dysfunction: (a) endothelin-1 (ET-1), (b) regulated upon activation normal T cell expressed and secreted (RANTES), and (c) soluble intercellular adhesion molecule-1 (siCAM-1). Mean siCAM was elevated for cocaine compared with controls and other drugs (p < .01); however, mean RANTES and ET-1 levels were not significantly different for any drug exposure groups. Receiver operating characteristics curve analysis for prediction of in-hospital ACVE revealed excellent performance of siCAM-1 (area under curve, 0.86; p < .001) but lack of predictive utility for either RANTES or ET-1. These results suggest that serum siCAM-1 is a viable biomarker for acute cocaine overdose and that endothelial dysfunction may be an important surrogate for adverse cardiovascular events following any drug overdose.

BACKGROUND:Leadership and management training has become increasingly important in the education of health care professionals. Previous research has shown the benefits that a network provides to its members, such as access to resources and information, but ideas for creating these networks vary. This study used social network analysis to explore the interactions among Central American Healthcare Initiative (CAHI) Fellowship alumni and learn more about information sharing, mentoring, and project development activities among alumni. The CAHI Fellowship provides leadership and management training for multidisciplinary healthcare professionals to reduce health inequities in the region. Access to a network was previously reported as one of the top benefits of the program. RESULTS:Information shared from the work of 100 CAHI fellows from six countries, especially within the same country, was analyzed. Mentoring relationships clustered around professions and project types, and networks of joint projects clustered by country. Mentorship, which CAHI management promoted, and joint project networks, in which members voluntarily engaged, had similar inclusiveness ratios. CONCLUSION/CONCLUSIONS:Social networks are strategic tools for health care leadership development programs to increase their impact by promoting interactions among participants. These programs can amplify intergenerational and intercountry ties by organizing events, provide opportunities for alumni to meet, assign mentors, and support collaborative action groups. Collaborative networks have great value to potentiate health professionals' leadership and management capabilities in a resource-constrained setting, such as the Global South.