National Consortium Research Articles

Closing evidence gaps in general practice & family medicine. Selected Abstracts from the 92nd EGPRN Meeting – Virtual Conference, 30 April to 1 May 2021

Research in general practice covers the whole of medicine, including clinical and contextual issues. Defining the focus of research is, therefore, not easy. Knowledge and preferences of researchers and funding agencies may dominate above the real problems faced by patients and society. In addition, topic selection and prioritisation are often not coordinated, leading to duplication and research waste. A research agenda could help focus on the issues that matter most.In the Netherlands, we developed a national research agenda involving general practitioners (GPs), researchers, patients and other relevant stakeholders in healthcare. We reviewed knowledge gaps from 90 Dutch general practice guidelines and received input from 48 healthcare stakeholders to formulate research questions relevant for general practice. This resulted in a long list of 787 research questions. These were prioritised by practising GPs (n = 232) in an online survey and in an invitational conference, including GPs (n = 48) and representatives of other stakeholders in healthcare (n = 16). The prioritising procedure resulted in 24 top 10 lists of research questions categorised according to ICPC chapters and overarching themes such as person-centred care, eHealth, and organisation of care. An advisory board composed of general practice research departments representatives, the Dutch College of GPs, GP trainees, and patient organisations supported the whole process.The national research agenda provided an enormous boost in general practice research as well as in collaboration between research departments. A national general practice research programme has been launched to address the questions in the agenda. Collaboration instead of competition between research departments and institutes is encouraged within this programme. They are united in a national consortium supported by the Dutch College of GPs to facilitate collaboration between data registration networks and initiate large-scale multicentered trials.The Dutch general practice research agenda could be an example for other countries and international collaboration. Opportunities to collaborate within the EGPRN to set up an international research agenda are challenging. This could include cross-border themes such as infectious diseases, migrant care, and planetary health. A shared agenda could also increase the chances of obtaining European funding. It is time now for international collaboration in general practice research contributing to health that matters to all.

Need for a national consortium of clinical registries of cancer and COVID-19 for vaccine surveillance

Need for a national consortium of clinical registries of cancer and COVID-19 for vaccine surveillance

Association of Heavy Drinking With Deviant Fiber Tract Development in Frontal Brain Systems in Adolescents

Maturation of white matter fiber systems subserves cognitive, behavioral, emotional, and motor development during adolescence. Hazardous drinking during this active neurodevelopmental period may alter the trajectory of white matter microstructural development, potentially increasing risk for developing alcohol-related dysfunction and alcohol use disorder in adulthood. To identify disrupted adolescent microstructural brain development linked to drinking onset and to assess whether the disruption is more pronounced in younger rather than older adolescents. This case-control study, conducted from January 13, 2013, to January 15, 2019, consisted of an analysis of 451 participants from the National Consortium on Alcohol and Neurodevelopment in Adolescence cohort. Participants were aged 12 to 21 years at baseline and had at least 2 usable magnetic resonance diffusion tensor imaging (DTI) scans and up to 5 examination visits spanning 4 years. Participants with a youth-adjusted Cahalan score of 0 were labeled as no-to-low drinkers; those with a score of greater than 1 for at least 2 consecutive visits were labeled as heavy drinkers. Exploratory analysis was conducted between no-to-low and heavy drinkers. A between-group analysis was conducted between age- and sex-matched youths, and a within-participant analysis was performed before and after drinking. Self-reported alcohol consumption in the past year summarized by categorical drinking levels. Diffusion tensor imaging measurement of fractional anisotropy (FA) in the whole brain and fiber systems quantifying the developmental change of each participant as a slope. Analysis of whole-brain FA of 451 adolescents included 291 (64.5%) no-to-low drinkers and 160 (35.5%) heavy drinkers who indicated the potential for a deleterious association of alcohol with microstructural development. Among the no-to-low drinkers, 142 (48.4%) were boys with mean (SD) age of 16.5 (2.2) years and 149 (51.2%) were girls with mean (SD) age of 16.5 (2.1) years and 192 (66.0%) were White participants. Among the heavy drinkers, 86 (53.8%) were boys with mean (SD) age of 20.1 (1.5) years and 74 (46.3%) were girls with mean (SD) age of 20.5 (2.0) years and 142 (88.8%) were White participants. A group analysis revealed FA reduction in heavy-drinking youth compared with age- and sex-matched controls (t154 = -2.7, P = .008). The slope of this reduction correlated with log of days of drinking since the baseline visit (r156 = -0.21, 2-tailed P = .008). A within-participant analysis contrasting developmental trajectories of youths before and after they initiated heavy drinking supported the prediction that drinking onset was associated with and potentially preceded disrupted white matter integrity. Age-alcohol interactions (t152 = 3.0, P = .004) observed for the FA slopes indicated that the alcohol-associated disruption was greater in younger than older adolescents and was most pronounced in the genu and body of the corpus callosum, regions known to continue developing throughout adolescence. This case-control study of adolescents found a deleterious association of alcohol use with white matter microstructural integrity. These findings support the concept of heightened vulnerability to environmental agents, including alcohol, associated with attenuated development of major white matter tracts in early adolescence.

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs.

Many neurological diseases are characterized by gradual deterioration of brain structure andfunction. Large longitudinal MRI datasets have revealed such deterioration, in part, by applying machine and deep learning to predict diagnosis. A popular approach is to apply Convolutional Neural Networks (CNN) to extract informative features from each visit of the longitudinal MRI and then use those features to classify each visit via Recurrent Neural Networks (RNNs). Such modeling neglects the progressive nature of the disease, which may result in clinically implausible classifications across visits. To avoid this issue, we propose to combine features across visits by coupling feature extraction with a novel longitudinal pooling layer and enforce consistency of the classification across visits in line with disease progression. We evaluate the proposed method on the longitudinal structural MRIs from three neuroimaging datasets: Alzheimer's Disease Neuroimaging Initiative (ADNI, N=404), a dataset composed of 274 normal controls and 329 patients with Alcohol Use Disorder (AUD), and 255 youths from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA). In allthree experiments our method is superior to other widely used approaches for longitudinal classification thus making a unique contribution towards more accurate tracking of the impact of conditions on the brain. The code is available at https://github.com/ouyangjiahong/longitudinal-pooling.

Training confounder-free deep learning models for medical applications

The presence of confounding effects (or biases) is one of the most critical challenges in using deep learning to advance discovery in medical imaging studies. Confounders affect the relationship between input data (e.g., brain MRIs) and output variables (e.g., diagnosis). Improper modeling of those relationships often results in spurious and biased associations. Traditional machine learning and statistical models minimize the impact of confounders by, for example, matching data sets, stratifying data, or residualizing imaging measurements. Alternative strategies are needed for state-of-the-art deep learning models that use end-to-end training to automatically extract informative features from large set of images. In this article, we introduce an end-to-end approach for deriving features invariant to confounding factors while accounting for intrinsic correlations between the confounder(s) and prediction outcome. The method does so by exploiting concepts from traditional statistical methods and recent fair machine learning schemes. We evaluate the method on predicting the diagnosis of HIV solely from Magnetic Resonance Images (MRIs), identifying morphological sex differences in adolescence from those of the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA), and determining the bone age from X-ray images of children. The results show that our method can accurately predict while reducing biases associated with confounders. The code is available at https://github.com/qingyuzhao/br-net.

A Message from the National Consortium for Building Healthy Academic Communities President: Resiliency: A Key Protective Factor in Challenging Times

No abstract available.

Characterization of MR Imaging-Visible Perivascular Spaces in the White Matter of Healthy Adolescents at 3T.

Perivascular spaces play a role in cerebral waste removal and neuroinflammation. Our aim was to provide data regarding the burden of MR imaging-visible perivascular spaces in white matter in healthy adolescents using an automated segmentation method and to establish relationships between common demographic characteristics and perivascular space burden. One hundred eighteen 12- to 21-year-old subjects underwent T1- and T2-weighted 3T MR imaging as part of the National Consortium on Alcohol and Neurodevelopment in Adolescence. Perivascular spaces were identified in WM on T2-weighted imaging using a local heterogeneity approach coupled with morphologic constraints, and their spatial distribution and geometric characteristics were assessed. MR imaging-visible perivascular spaces were identified in all subjects (range, 16-287). Males had a significantly higher number of perivascular spaces than females: males, mean, 98.4 ± 50.5, versus females, 70.7 ± 36.1, (P < .01). Perivascular space burden was bilaterally symmetric (r > 0.4, P < .01), and perivascular spaces were more common in the frontal and parietal lobes than in the temporal and occipital lobes (P < .01). Age and pubertal status were not significantly associated with perivascular space burden. Despite a wide range of burden, perivascular spaces are present in all healthy adolescents. Perivascular space burden is higher in adolescent males than in females, regardless of age and pubertal status. In this population, perivascular spaces are highly symmetric. Although widely reported as a feature of the aging brain, awareness of the presence of perivascular spaces in a cohort of healthy adolescents provides the foundation for further research regarding the role of these structural variants in health and disease.

The relevance, feasibility and benchmarking of nursing quality indicators: A Delphi study.

To identify indicators of nursing care performance by identifying structures, processes, and outcomes that are relevant, feasible and have the potential for benchmarking in Swiss acute hospitals. A modified Delphi-Consensus Technique. We examined 19 indicators based on the current evidence and that were pre-selected by nursing scientists. Between August-October 2019, a consortium of experts (representatives of different cantons, hospitals, and healthcare roles in Switzerland) determined the relevance, feasibility, and suitability for benchmarking these indicators in two-round modus of digital survey. Consensus was defined a priori by at least 75% agreement on the highest level of a 3-point Likert-type scale. The response rate was 70.4% in the first and 68.4% in the second round. In round one consensus was reached for three indicators on relevance but for none of the indicators regarding feasibility or potential for benchmarking. For round two, the experts suggested two additional indicators (new total of 21 indicators). Of 21 indicators, consensus was reached on twelve regarding relevance, seven regarding feasibility, and two regarding the potential for benchmarking. A national expert consortium defined 12 of 21 nursing care indicators as relevant. Feasibility, however, was estimated only among seven indicators and a consensus on suitability for benchmarking was reached for two nursing-sensitive indicators. The results show how the indicators to evaluate nursing care performance, which have been identified as priority by Canadian nursing scientists, are assessed in a different setting. There are many overlaps, but also some differences in the assessment of the indicators between the different settings. Different health systems prioritize the indicators to evaluate nursing care performance differently, which is why national surveys are important for the compilation of their own (priority) indicator sets.

Varied Incident Rates of Global Maritime Piracy: Toward a Model for State Policy Change

Maritime piracy is a problem that plagues our navigable seas. This study provides a quantitative understanding of factors that influence the frequency of yearly maritime piracy occurrences. Using a nonprobability sampling technique, 11 countries with reported cases of maritime piracy were purposefully selected. Open sourced data from the National Geospatial Intelligence Agency, the World Bank, the United Nations, the National Consortium for the Study of Terrorism and Responses to Terrorism, and the Center for Systemic Peace were utilized in this study. Using regression features, as well as socioeconomic and geopolitical data from these countries over a longitudinal period of 34 years (1985–2018), a time-series cross-sectional design provides an in-depth understanding of factors that affect the frequency of piracy occurrences. The four-factor model concluded that state weakness, total population size, gross domestic product, and total fish catch tonnage are found to be associated with the frequency of pirating activity worldwide. Policy implications and measures to mitigate piracy are also discussed.

Five Decades of Global Chemical Terror Attacks: Data Analysis to Inform Training and Preparedness.

Chemical weapons attacks during the recent conflict in Syria and Iraq highlight the need to better understand the changing epidemiology of chemical weapons use, especially among non-state actors. Public health professionals and policy-makers require this data to prioritize funding, training, chemical weapons preparedness, disaster response, and recovery. The purpose of this investigation is to provide descriptive data that can be used by policy-makers and public safety officials to better prepare for these potential attacks. A five-decade descriptive retrospective review of The Global Terrorism Database, maintained by the National Consortium for the Study of Terrorism and Responses to Terrorism, was conducted to understand trends in chemical agents, targets, and routes of exposure. We reviewed and analyzed data specific to these documented chemical attacks between 1970 and 2017. 383 terror attacks involved chemical weapons over the study period. A specific agent was named in 154 incidents, while 124 incidents could be classified into traditional chemical weapons categories (eg, vesicant, choking agents). A route of exposure was identified in 242 attacks, with the most common routes of exposure being dermal-mucosal and inhalational. Caustic agents were used in the highest portion of attacks (25%) where the route of exposure was known. Explosive devices were used in 21% of attacks to deliver these chemical agents. Of particular note, private citizens and educational facilities were targeted in 25% and 12% of attacks, respectively. The average number of attacks increased from 6 per year between 1970 and 2011 to 24.9 per year between 2011 and 2017 (coinciding with the start of the Syria conflict). The most commonly utilized chemicals were chlorine (26.0%), tear gas (20.8%), and cyanide (15.6%). Blood agent incidents declined from 32.6% before the September 11, 2001 attacks to 13.6% after 2001, while nerve agent attacks fell from 9.3% to 1.2%. In contrast, choking (namely chlorine) and vesicant (mustard) agent use increased from 7% to 48.1% and from 2.3% to 6.2% of attacks, respectively. Chemical weapon use in global terrorism remains an increasingly common occurrence that requires better characterization. The average number of chemical terrorist attacks per year is increasing, with a large proportion resulting from the conflicts in Iraq and Syria. Choking (chlorine) and vesicant (mustard) agents have become the predominant chemical terror agent since 2001, with a decreased incidence of blood (cyanogenic) and nerve (sarin) agents. Future preparedness initiatives should focus on vulnerable targets such as private citizens and educational institutions. Improving blast injury response is essential, along with prioritizing disaster training focused on choking agents, vesicants, and caustics.

Association of Use of Contract Nurses With Hospitalized Patient Pressure Injuries and Falls

Hospital-acquired pressure injuries (HAPIs) and falls are outcomes sensitive to quality of nursing care. Use of contract (traveler) nurses varies among organizations, but there is little research on the effect of contract nurses on nurse-sensitive outcomes. To explore the relationship between use of contract nurses and two key nurse-sensitive outcomes, HAPIs and falls. This was a cross-sectional study of unit-level nursing, patient, and hospital factors versus HAPIs and falls from a national nursing data consortium from 2015 to 2016. We used cluster analysis to identify similar units, and compared outcomes between clusters. 605 nursing units in 166 hospitals, 3.2 patients per nurse, and 5.3% contract nurses. Prevalence and incidence of HAPIs and number of falls, adjusted by patient days. For both prevalence and incidence of HAPIs, there was a statistically significant difference between the five independent cluster groups (p = .012 and p = .001, respectively). The cluster with the highest percentage of nurse travelers (>7%) had the highest HAPI prevalence (0.84%) and incidence (0.055 per 1,000 patient days) despite higher nurse staffing, compared to HAPI prevalence of 0.32% and incidence of 0.017 per 1,000 patient days in the cluster with the lowest percentage of nurse travelers (<2%). We did not identify a consistent relationship between use of contract nurses and falls. Use of contract nurses was associated with higher HAPI prevalence and incidence, independent of staffing levels. Our results suggest that institutions should either minimize the use of contract nurses, or engage in extensive training to confirm that contract nurses have understanding of the institutional practices around HAPIs.

Abstract A52: Zero Childhood Cancer (ZERO): A comprehensive precision medicine platform for children with high-risk cancer

Abstract Background/Objectives: The National Zero Childhood Cancer (ZERO) program, the most innovative child cancer research program in Australia, aims to assess the feasibility of a comprehensive precision medicine approach to improve outcomes for patients with high-risk pediatric cancer. Design/Methods: ZERO combines comprehensive molecular profiling analysis (whole-genome sequencing [tumor, germline DNA], deep sequencing of a 386-cancer associated gene panel, whole-transcriptome [RNASeq], DNA methylation profiling [Epic 850K array]) with in vitro high-throughput drug screening (124-compound library, single agent) and patient-derived xenograft (PDX) drug efficacy testing. Results are curated and recommendations made through a national Multidisciplinary Tumor Board (MTB). Recommendations consist of targeted therapy, change of diagnosis, or genetics referral for a germline cancer predisposition gene mutation. Results: The ZERO national trial (PRISM), which opened in September 2017 at all 8 pediatric centers in Australia, has enrolled 213 patients in the first 20 months (36% central nervous system tumors, 29% sarcoma, 15% leukemias/lymphomas, 7% neuroblastoma, 13% other rare or unknown cancers). The unique ZERO testing platform has resulted in at least one recommendation being issued for 70% of patients. 12% of patients have a reportable germline mutation. We have developed an integrated analytical pipeline to interrogate and cross-validate the full range of variants, structural abnormalities, and mutational signatures identified in pediatric cancers, and incorporate the molecular data with in vitro and in vivo drug sensitivity data where possible. The highest yield of reportable variants is derived from the integrated analysis of WGS and RNASeq. The most highly mutated genes/pathways include TP53, MAPK pathway, CDK/cyclin family, and PI3K/mTOR pathway. Mutation signatures and tumor mutation burden assessment support targeted treatment recommendations (e.g., PARP inhibitors or immunotherapy) and contribute to assessment of pathogenicity of some germline variants. Early experience with drug efficacy studies suggests these data may corroborate genomic therapeutic recommendations and may also identify unanticipated drug “vulnerabilities.” Of the first 21 patients who received an MTB-recommended therapy not usually used in the treatment of the respective tumors generally, 33% have a partial or complete response, 24% have stable disease, and 43% have progressive disease. Conclusion: ZERO demonstrates the feasibility of a comprehensive precision medicine platform to identify treatment recommendations in high-risk pediatric cancer patients. ZERO is also partnering nationally and internationally to conduct parallel research studies in immunoprofiling, liquid biopsy, cancer predisposition, proteomics, health economics, health implementation, psychosocial impact of precision medicine, and improving access to molecularly targeted therapeutic clinical trials. Citation Format: Paulette Barahona, Jamie Fletcher, Noemi Fuentes-Bolanos, Marie-Emilie Gauthier, Michelle Haber, Richard B. Lock, Glenn M. Marshall, Chelsea Mayoh, Emily Mould, Sumanth Nagabushan, Murray Norris, Tracey O’Brien, Alexandra Sherstyuk, David Thomas, Toby Trahair, Katherine Tucker, Meera Warby, Marie Wong, David S. Ziegler, Vanessa J. Tyrrell, Paul Ekert, Mark J. Cowley, Loretta Lau, Dong-Anh Khuong Quang, Zero Childhood Cancer Program National Consortium. Zero Childhood Cancer (ZERO): A comprehensive precision medicine platform for children with high-risk cancer [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr A52.

The challenges in data integration \u2013 heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus

BackgroundIndividual clinical trials and cohort studies are a useful source of data, often under-utilised once a study has ended. Pooling data from multiple sources could increase sample sizes and allow for further investigation of treatment effects; even if the original trial did not meet its primary goals. Through the MASTERPLANS (MAximizing Sle ThERapeutic PotentiaL by Application of Novel and Stratified approaches) national consortium, focused on Systemic Lupus Erythematosus (SLE), we have gained valuable real-world experiences in aligning, harmonising and combining data from multiple studies and trials, specifically where standards for data capture, representation and documentation, were not used or were unavailable. This was not without challenges arising both from the inherent complexity of the disease and from differences in the way data were captured and represented across different studies.Main bodyData were, unavoidably, aligned by hand, matching up equivalent or similar patient variables across the different studies. Heterogeneity-related issues were tackled and data were cleaned, organised and combined, resulting in a single large dataset ready for analysis. Overcoming these hurdles, often seen in large-scale data harmonization and integration endeavours of legacy datasets, was made possible within a realistic timescale and limited resource by focusing on specific research questions driven by the aims of MASTERPLANS. Here we describe our experiences tackling the complexities in the integration of large, diverse datasets, and the lessons learned.ConclusionsHarmonising data across studies can be complex, and time and resource consuming. The work carried out here highlights the importance of using standards for data capture, recording, and representation, to facilitate both the integration of large datasets and comparison between studies. Where standards are not implemented at the source harmonisation is still possible by taking a flexible approach, with systematic preparation, and a focus on specific research questions.

Prognosis of patients with sickle cell disease and COVID-19: a French experience

Prognosis of patients with sickle cell disease and COVID-19: a French experience

Longitudinal Impact of Life Events on Adolescent Binge Drinking in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA)

Background: Life events experienced during adolescence are associated with risk and resilience to heavy episodic drinking (HED; i.e. binge drinking). The current study builds on prior research using latent class analysis (LCA) to examine heterogeneity in patterns of adolescent life events at baseline to HED over the course of three years (4 timepoints) as part of the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA). Methods: Life event classes were modeled using LCA that characterized NCANDA participants based upon their responses to the Life Events Questionnaire (N = 467, age: M = 14.98, SD = 1.69, 49.7% female). These baseline latent life event classes were then compared to HED at baseline and years 1, 2 and 3 using multinomial logistic regression. Results: At baseline, the LCA characterized four classes of adolescents based on endorsement of life events: negative-relational conflict (n = 65, 13.9%), negative-financial problems (n = 49, 10.5%), low life events (n = 130, 27.8%), and positive life events (n = 223, 47.8%). Life event trajectories differed for the negative life event classes compared to the other two classes, with greater odds of HED in the negative-financial problems class at year 1. Conclusion: The four latent classes derived from the life events of NCANDA youth yielded a characterization of adolescents that could aid in understanding HED over the subsequent three years, suggesting that everyday life events may inform adolescent binge drinking.

The implications of residential air conditioning refrigerant choice on future hydrofluorocarbon consumption in the United States

ABSTRACT As the primary alternative to ozone-depleting refrigerants, hydrofluorocarbons (HFCs) have increased in use and emissions in the United States. This increase, and a large portion of total U.S. HFC consumption, is expected due to the use of HFCs in residential air conditioning (RAC). The RAC market primarily relied upon chlorodifluoromethane, a hydrochlorofluorocarbon (HCFC) known as HCFC-22, whose consumption is being phased out globally under the Montreal Protocol on Substances that Deplete the Ozone Layer and under national regulations such as the Clean Air Act in the United States. The RAC market today relies on HFCs, most often R-410A (a blend of difluoromethane or HFC-32, and pentafluoroethane or HFC-125) for new equipment, but older units using HCFC-22 remain. The RAC industry is investigating multiple alternatives with global warming potentials (GWPs) significantly below that of R-410A. Research has been conducted by chemical producers, air conditioner and component manufacturers, national government laboratories, academia, and consortium efforts. Various low-GWP alternatives have been suggested with GWPs of approximately 750 and below. This paper investigates industry-wide HFC reduction measures in the United States across sectors that have transitioned from ozone-depleting substances to HFCs. Under various scenarios with RAC refrigerants with GWPs in the 150-750 range, this paper shows that future RAC refrigerants will strongly influence industry efforts to reduce U.S. HFC consumption. These reductions are not just reliant on manufacturers introducing new equipment with low-GWP alternatives. The service industries, responsible for repairing leaks and recovering refrigerant, play a vital role in reducing HFC consumption.

Posttraumatic Stress Symptoms Predict Transition to Future Adolescent and Young Adult Moderate to Heavy Drinking in the NCANDA Sample.

Approximately two thirds of youth report experiencing or witnessing a trauma. It is not known whether trauma or the posttraumatic stress symptoms (PTSS) following trauma increases adolescent drinking risk. We described trauma experienced by the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) longitudinal sample (N=831) participants and examined drinking over 4 years. We hypothesize that more traumatic events and PTSS will predict transition to moderate/heavy drinking. 658 no/low drinkers at baseline were followed yearly for 4 years for transition to moderate/heavy drinking using logistic regression models. Youth were grouped by: No Trauma (n=257), Trauma (n= 348), and Trauma with PTSS (n=53). Those with Trauma and PTSS showed escalation to moderate/heavy drinking compared to the No Trauma group in follow-up years 2, 3, and 4. Number of traumatic events did not predict moderate/heavy drinking. Interventions targeting PTSS may prevent transition to moderate/heavy drinking.

Abstract A062: Utilizing Inside Knowledge materials to improve gynecologic cancer knowledge in underserved populations

Abstract Background: About 30,000 women die each year from gynecologic cancer in the U.S., which disproportionately affects women from underserved populations. To improve gynecologic cancer awareness and outcomes, the Centers for Disease Control and Prevention's (CDC) Inside Knowledge: Get the Facts about Gynecologic Cancer (IK) campaign was developed and educates women about risk factors, symptoms, recommended screening, and prevention strategies for ovarian, uterine, cervical, vaginal, and vulvar cancers. CDC also funds a network of national organizations to specifically reduce cancer-related health disparities. Methods: We fostered a partnership between three organizations in CDC's cancer disparity reducing national network consortium and the IK campaign to deliver tailored educational sessions using IK materials. The National Behavioral Health Network (NBHN), which helps those with mental illnesses and addictions; Nuestras Voces (NV), which helps Hispanics; and the Selfmade, which helps those of low socioeconomic status, participated in this study. These organizations administered pre- and post-session surveys to assess changes in gynecologic cancer knowledge. Results: Overall, 125 women participated in six educational sessions held by NBHN, NV, and Selfmade. NBHN session attendees had significantly increased knowledge that smoking increases risk for cervical cancer (78.1% pre-session vs. 94.6% post-session). NV session attendees significantly increased their awareness of never having given birth/infertility as a risk factor for ovarian cancer (16.7% pre-session and 42.1% post-session). Among SHM attendees, 100% correctly identified family history as a risk factor for ovarian cancer, and significantly more participants correctly identified Ashkenazi Jewish background as an ovarian cancer risk factor (18.2% pre-session vs. 79.4% post-session). Knowledge about HPV vaccine prevention for cervical, vaginal, and vulvar cancers was significantly increased among only NV and Selfmade attendees (54.6% pre-session vs. 82.1% post-session and 30.3% pre-session vs. 85.7% post-session, respectively. Attendees in all sessions increased correct identification of some gynecologic cancer symptoms, but specific changes varied by organization. Conclusions: Holding facilitated educational sessions with IK materials was effective in increasing awareness of gynecologic cancer among many women across organizations participating in this study; however, uptake of information differed by organization. Additional resources that contain specific interventions most appropriate to a particular underserved population (e.g., receipt of HPV vaccine among Hispanic women) may be beneficial for increasing healthy behaviors that lead to a reduction in gynecologic cancer disparities. Citation Format: Mary C. Puckett, Julie S. Townsend, Jenny R. Patterson, Ena Wanliss, Sherri L. Stewart. Utilizing Inside Knowledge materials to improve gynecologic cancer knowledge in underserved populations [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr A062.

National Consortium for Building Healthy Academic Communities 4th National Summit: Building Cultures of Well-Being Additional Summit Abstracts

No abstract available.CorrigendumCorrection of: https://doi.org/10.18061/bhac.v3i2.7286The authors of the abstract entitled "BUILDING CULTURES OF WELL-BEING: THE HAPPINESS APPROACH" [Building Healthy Academic Communities Journal Vol. 3, No. 2, 2019] inadvertently omitted Danny Twilley (Ohio University) from the list of authors. The author Danny Twilley should have been added after Cara Sidman in the published abstract. The authorship correction is published in Building Healthy Academic Communities Journal Vol. 4, No. 1, 2020, https://doi.org/10.18061/bhac.v4i1.7629.

Establishing the common oncology data model for the national biobank consortium of Taiwan.

e19283 Background: Taiwan has 32 biobanks under Government’ governance. The Ministry of Health and Welfare have established a National Biobank Consortium of Taiwan to unify the specimen quality and the medical record database. The total recruited participants exceed 350,000. The National Health Research Institutes in Taiwan hold the responsibility of establish a common data model for aggregating data elements from electronic health records (EHRs) of institutes through direct feeds. The goals are to assemble a set of common oncology data elements and to facilitate cancer data interoperability for patient care and research across institutes of Biobank Consortium. Methods: We first conduct a thorough review of available EHR data elements for patient characteristics, diagnosis/staging, treatments, laboratory results, vital signs and outcomes. The data dictionary was organized based on HL7 FHIR and also included data elements from Taiwan Cancer Registry (TCR) and National Health Insurance (NHI) Program, which the common definition has already been established and implemented for years. Data elements suggested by ASCO CancerLinQ and minimal Common Oncology Data Elements (mCODE) are also referenced during planning. The final common model was then reviewed by a panel of experts consisting oncologists as well as data science specialists. Results: There are finally 9 data tables with 281 data elements, in which 248 of them are from the routinely uploaded data elements to government agencies (TCR &amp; NHI) and 33 elements are collected with partial common definition among institutes. There are 164 data elements which are to be collected one observation per case, while 117 elements will be accumulated periodically. Conclusions: A comprehensive understanding of genetics, phenotypes, disease variation as well as treatment responses is crucial to fulfill the needs of real-world studies, which potentially would lead to personalized treatment and drug development. At the first stage of this project, we aim to accumulate available EHR structured data elements and to maintain sufficient cancer data quality. Consequently, the database can provide real-world evidence to promote evidence-based &amp; data-driven cancer care.