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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
Bibliographic record
VenueResearch at York St John (York St John University) · 2022
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersNational Research, Development and Innovation OfficeGuy's and St Thomas' NHS Foundation TrustInstituto de Salud Carlos IIINational Health and Medical Research CouncilMedical Research CouncilDepartment of Global Health and Population, Harvard T.H. Chan School of Public HealthUniversity at BuffaloDirectorate for Biological SciencesGeorge Institute for Global HealthMoscow Institute of Physics and TechnologyWestern Sydney UniversityAl-Farabi Kazakh National UniversityINCLIVA Instituto de Investigación SanitariaJahrom University of Medical SciencesJenderal Soedirman UniversityImam Abdulrahman Bin Faisal UniversityLingnan UniversityI.M. Sechenov First Moscow State Medical UniversityNational Institute for Medical Research DevelopmentAlexandria UniversityNovo Nordisk FondenAfrican Population and Health Research CenterXiamen UniversityUniversidade do MinhoUniversity of Health and Allied SciencesUniversitatea de Medicină şi Farmacie "Carol Davila" BucureştiNational Research University Higher School of EconomicsTechnische Universität BerlinCentro de Investigación Biomédica en Red de Salud MentalUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiUniversità degli Studi dell'AquilaBahir Dar UniversityUniversità di BolognaShahid Beheshti University of Medical SciencesAutoritatea Natională pentru Cercetare StiintificăShahrekord University of Medical SciencesUniversità Cattolica del Sacro CuoreUniversity of the PhilippinesUniversidad Nacional Autónoma de MéxicoBabol University of Medical SciencesUniversitair Medisch Centrum GroningenImperial College LondonKing's College LondonShiraz UniversityPublic Health Foundation of IndiaNaresuan UniversityHaramaya UniversityInyuvesi Yakwazulu-NataliUniversiti MalayaIsfahan University of Medical SciencesUniversità degli Studi di GenovaKerman University of Medical SciencesUniversiti Kebangsaan MalaysiaNational Research FoundationUniversidad ICESIUniversity of CalcuttaUniversità di CataniaTehran University of Medical Sciences and Health ServicesKuwait UniversityUniversidad Autónoma MetropolitanaSultan Qaboos UniversityBrien Holden Vision InstituteKing Abdulaziz UniversityKarolinska InstitutetConselho Nacional de Desenvolvimento Científico e TecnológicoMinistero della SalutePirogov Russian National Research Medical UniversitySaveetha Dental CollegeNovo NordiskIslamic Azad UniversityPohang University of Science and TechnologyUniversità degli Studi di Napoli Federico IIMinistry of Health and Medical EducationFundação de Amparo à Pesquisa do Estado de Minas GeraisUniversity of GondarUniversity of WaterlooShiraz University of Medical SciencesAin Shams UniversityBundesministerium für Bildung und ForschungHamad Medical CorporationMurdoch UniversityQueensland University of TechnologyJames Cook UniversityCairo UniversityDepartment of Social Services, Australian GovernmentFlinders UniversityUniversitat de ValènciaUniwersytet Jagielloński Collegium MedicumUniversity College LondonIndian Council of Medical ResearchNational Institute for Health and Care ResearchHarvard UniversityDeutsches KrebsforschungszentrumUniversity of AberdeenCanadian Institutes of Health ResearchUniversity of TabrizEuropean CommissionUniversity of WashingtonRijksuniversiteit GroningenIran University of Medical SciencesUniversity of LeicesterMinisterul Cercetării, Inovării şi DigitalizăriiCentral University of KeralaAlexander von Humboldt-StiftungMashhad University of Medical SciencesTribhuvan UniversityTabriz University of Medical SciencesUniversity of Technology SydneyOttawa Hospital Research InstituteMadda Walabu UniversityIstituto di Ricerche Farmacologiche Mario Negri - IRCCSCentres de Recerca de CatalunyaHøgskulen på VestlandetUniversiteit StellenboschHealth Services Management Research CenterPublic Health EnglandUniversity of OttawaNational Authority for Scientific Research and InnovationBirjand University of Medical SciencesAustralian GovernmentMonash UniversityBrigham and Women's HospitalTrường Đại học Nguyễn Tất ThànhNational Heart, Lung, and Blood InstituteEdwards LifesciencesRajshahi UniversityFundación Valle del LiliSocial Science Research CouncilUniversitetet i BergenUniversity of South CarolinaKasturba Medical College, ManipalDivision of Human Resource DevelopmentUniversity of TorontoMinisterio de Ciencia e InnovaciónGeneralitat de CatalunyaUniversity of Agriculture, FaisalabadCase Western Reserve UniversityUniversidade Federal do Rio Grande do SulJohns Hopkins UniversityBill and Melinda Gates FoundationUniversidade de São PauloKrishna Institute Of Medical Sciences Deemed To Be UniversityShahrekord UniversityTufts Medical CenterUniversity of New South WalesU.S. Department of Veterans AffairsBournemouth University
KeywordsIndex (typography)Metric (unit)Health careScale (ratio)Burden of diseaseConfidence intervalQuality-adjusted life yearQuality (philosophy)
DOInot available
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.163
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.013 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 head0.047
GPT teacher head0.351
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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