Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
VenueJournal of Clinical and Translational Science · 2024
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsSimon Fraser University
FundersNational Center for Advancing Translational SciencesNational Institute of Environmental Health SciencesNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthClinical and Translational Science Center, University of New MexicoClinical and Translational Science Institute, Boston UniversityCenter for Clinical and Translational Sciences, University of Texas Health Science Center at HoustonInstitute for Integration of Medicine and ScienceCenter for Clinical and Translational Science, Mayo ClinicColorado Clinical and Translational Sciences InstituteCenter for Clinical and Translational Science, University of MassachusettsUniversity of Colorado DenverLeonard M. Miller School of MedicineUniversity of California, IrvineUniversity of North Carolina at Chapel HillOregon Clinical and Translational Research InstituteWeill Cornell Medical CollegeClinical and Translational Science Institute, University of FloridaUniversity of Illinois at Urbana-ChampaignUniversity of Oklahoma Health Sciences CenterNational Institutes of HealthUniversity of California, DavisStony Brook UniversityOchsner HealthUniversity of California, San FranciscoLouisiana Clinical and Translational Science CenterGeorgia Clinical and Translational Science AllianceChildren's National HospitalVanderbilt University Medical CenterTranslational Research Institute, University of Arkansas for Medical SciencesNorthShore University HealthSystemUniversity of Texas Health Science Center at HoustonYale Center for Clinical Investigation, Yale School of MedicineMedStar Health Research InstituteRutgers, The State University of New JerseySouthern California Clinical and Translational Science InstituteUniversity of RochesterAurora Health CareUniversity of MiamiUniversity of South CarolinaMontana State UniversityNYU Langone Medical CenterDartmouth CollegeInstitute for Clinical and Translational Research, University of Wisconsin, MadisonPennsylvania State UniversityVanderbilt Institute for Clinical and Translational ResearchUniversity of CincinnatiGeorgetown UniversityInstitute of Clinical and Translational SciencesWake Forest Clinical and Translational Science Institute, Wake Forest School of MedicineGeorgetown-Howard Universities Center for Clinical and Translational ScienceInstitute for Translational Medicine and TherapeuticsUniversity of MichiganUniversity of Southern CaliforniaHarvard CatalystUniversity of OklahomaSchool of Medicine, Indiana UniversityWashington University in St. LouisPenn State Clinical and Translational Science InstituteCase Western Reserve UniversityUniversity of MinnesotaUniversity of California, San DiegoJohns Hopkins UniversityUniversity of California, Los AngelesBill and Melinda Gates FoundationUniversity of WashingtonMichigan Institute for Clinical and Health ResearchUniversity of UtahChildren's Hospital of PhiladelphiaUniversity of PennsylvaniaGeorge Washington UniversityNorthwestern UniversityVanderbilt UniversityAccelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact ValuesUniversity of ChicagoIrving Medical Center, Columbia UniversityVirginia Commonwealth UniversityTulane UniversityBrown UniversityRush UniversityCincinnati Children's Hospital Medical CenterUniversity of Wisconsin-MadisonYale UniversityLoyola University ChicagoOhio State UniversityWake Forest UniversityCenter for Clinical and Translational ResearchEmory UniversityUniversity of Texas Medical BranchWest Virginia Clinical and Translational Science InstituteUniversity of Nebraska Medical CenterChildren's Hospital ColoradoInstitute of Translational Health SciencesTufts Medical CenterWest Virginia UniversityCarilion Clinic
KeywordsCoronavirus disease 2019 (COVID-19)Ethnic group2019-20 coronavirus outbreakHealth equitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicCohortMedicineCohort studyGerontologyHuman immunodeficiency virus (HIV)Social distanceDemographyPublic healthFamily medicineVirologySociologyDiseaseOutbreakNursing
Abstract
fetched live from OpenAlexBackground: Leveraging the National COVID-19 Cohort Collaborative (N3C), a nationally sampled electronic health records repository, we explored associations between individual-level social determinants of health (SDoH) and COVID-19-related hospitalizations among racialized minority people with human immunodeficiency virus (HIV) (PWH), who have been historically adversely affected by SDoH. Methods: We retrospectively studied PWH and people without HIV (PWoH) using N3C data from January 2020 to November 2023. We evaluated SDoH variables across three domains in the Healthy People 2030 framework: (1) healthcare access, (2) economic stability, and (3) social cohesion with our primary outcome, COVID-19-related hospitalization. We conducted hierarchically nested additive and adjusted mixed-effects logistic regression models, stratifying by HIV status and race/ethnicity groups, accounting for age, sex, comorbidities, and data partners. Results: Our analytic sample included 280,441 individuals from 24 data partner sites, where 3,291 (1.17%) were PWH, with racialized minority PWH having higher proportions of adverse SDoH exposures than racialized minority PWoH. COVID-19-related hospitalizations occurred in 11.23% of all individuals (9.17% among PWH, 11.26% among PWoH). In our initial additive modeling, we observed that all three SDoH domains were significantly associated with hospitalizations, even with progressive adjustments (adjusted odds ratios [aOR] range 1.36-1.97). Subsequently, our HIV-stratified analyses indicated economic instability was associated with hospitalization in both PWH and PWoH (aOR range 1.35-1.48). Lastly, our fully adjusted, race/ethnicity-stratified analysis, indicated access to healthcare issues was associated with hospitalization across various racialized groups (aOR range 1.36-2.00). Conclusion: Our study underscores the importance of assessing individual-level SDoH variables to unravel the complex interplay of these factors for racialized minority groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.998
Codex and Gemma teacher scores by category
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Teacher spread0.138 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
