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Record W7008159520

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

2022· article· en· W7008159520 on OpenAlexfundno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteInstituto de Salud Carlos IIIDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthUniversity at BuffaloDirectorate for Biological SciencesUniversity of Health and Allied SciencesGeorge Institute for Global HealthMadda Walabu UniversityMoscow Institute of Physics and TechnologyWestern Sydney UniversityAl-Farabi Kazakh National UniversityJahrom University of Medical SciencesJenderal Soedirman UniversityImam Abdulrahman Bin Faisal UniversityLingnan UniversityI.M. Sechenov First Moscow State Medical UniversityAlexandria UniversityAfrican Population and Health Research CenterUniversity of TabrizCase Western Reserve UniversityUniversity of Agriculture, FaisalabadUniversidad Nacional Autónoma de MéxicoUniversity of the PhilippinesShahid Beheshti University of Medical SciencesUniversità di BolognaBahir Dar UniversityUniversità Cattolica del Sacro CuoreBabol University of Medical SciencesBirjand University of Medical SciencesUniversitair Medisch Centrum GroningenImperial College LondonShiraz UniversityPublic Health Foundation of IndiaNaresuan UniversityShahrekord UniversityUniversidade do MinhoHaramaya UniversityInyuvesi Yakwazulu-NataliUniversiti MalayaIsfahan University of Medical SciencesUniversità degli Studi di GenovaTechnische Universität BerlinKerman University of Medical SciencesUniversiti Kebangsaan MalaysiaNational Research FoundationUniversidad ICESIUniversity of CalcuttaUniversità di CataniaTehran University of Medical Sciences and Health ServicesKuwait UniversitySultan Qaboos UniversityUniversidad Autónoma MetropolitanaBrien Holden Vision InstituteKing Abdulaziz UniversityKarolinska InstitutetRajshahi UniversityFundación Valle del LiliIslamic Azad UniversityUniversità degli Studi dell'AquilaUniversity of GondarUniversity of WaterlooPohang University of Science and TechnologyDepartment of Social Services, Australian GovernmentFlinders UniversityCairo UniversityHamad Medical CorporationMurdoch UniversityMonash UniversityCentral University of KeralaMashhad University of Medical SciencesUniversiteit StellenboschHealth Services Management Research CenterPublic Health EnglandUniversitat de ValènciaMassachusetts General HospitalUniwersytet Jagielloński Collegium MedicumUniversity College LondonIndian Council of Medical ResearchTrường Đại học Nguyễn Tất ThànhNational University of SingaporeNational Institute for Health and Care ResearchJames Cook UniversityShiraz University of Medical SciencesAin Shams UniversityUniversity of WashingtonRijksuniversiteit GroningenIran University of Medical SciencesUniversity of LeicesterTufts Medical CenterUniversidade de São PauloKrishna Institute Of Medical Sciences Deemed To Be UniversityNational Research University Higher School of EconomicsPirogov Russian National Research Medical UniversitySaveetha Dental CollegeOttawa Hospital Research InstituteShahrekord University of Medical SciencesSocial Science Research CouncilUniversitetet i BergenUniversity of South CarolinaHarvard UniversityDeutsches KrebsforschungszentrumDivision of Human Resource DevelopmentUniversity of TorontoUniversity of OttawaTabriz University of Medical SciencesUniversity of Technology SydneyHøgskulen på VestlandetBournemouth UniversityUniversidade Federal do Rio Grande do SulNational Institute for Medical Research DevelopmentUniversità degli Studi di Napoli Federico IIMinistry of Health and Medical EducationJohns Hopkins UniversityBill and Melinda Gates FoundationQueensland University of TechnologyBrigham and Women's HospitalUniversity of New South WalesU.S. Department of Veterans Affairs
KeywordsQuality (philosophy)Burden of diseaseHealth careDisease burdenDiseasePublic healthMEDLINE
DOInot available

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.001
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 score0.118
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.371
Teacher spread0.335 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractno

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