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Enregistrement W2946640224 · doi:10.1016/s2214-109x(19)30154-8

How concentrated are academic publications of countries' progression towards universal health coverage?

2019· article· en· W2946640224 sur OpenAlexaboutno aff
Adrian Gheorghe, Kalipso Chalkidou, Anthony J. Culyer

Notice bibliographique

RevueThe Lancet Global Health · 2019
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealthcare Systems and Reforms
Établissements canadiensnon disponible
Organismes subventionnairesMedical Research CouncilDepartment for International Development
Mots-clésScopusGlobal healthEconLitWonderDeveloping countryMedicineMEDLINEPolitical scienceHealth careLibrary scienceEconomic growthComputer sciencePsychologyLaw

Résumé

récupéré en direct d'OpenAlex

All UN member states aim to achieve universal health coverage (UHC) by 2030 as part of the Sustainable Development Goals.1UNTransforming our world: the 2030 agenda for sustainable development.https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdfDate: 2015Date accessed: March 25, 2019Google Scholar Countries' progression towards UHC can be monitored using the WHO and World Bank standardised framework,2WHOWorld BankTracking universal health coverage: 2017 global monitoring report. World Health Organization, Geneva2017Google Scholar whereas the World Bank Universal Health Coverage Study Series (UNICO) documents in depth the progress towards UHC of more than 40 countries. As more knowledge of countries' pathways towards UHC accumulates and given the call that “all nations need to be producers as well as consumers of research”,3WHOThe World Health Report 2013: research for Universal Health Coverage. World Health Organization, Geneva2013Google Scholar one might wonder whether the available knowledge base on the UHC journey relies on a wide range of country experiences or only on a handful of distinctive and potentially unrepresentative ones. We searched six electronic databases (Scopus, MEDLINE, Embase, Global Health, Econlit, and Web of Science) on March 5, 2019, for “universal health coverage” as keyword, title, or abstract—with no other restrictions—to quantify the extent to which individual countries are referenced in direct association with UHC. Of 7889 total records, 5204 duplicates were removed and the remaining 2685 unique records were imported into R statistical software. Their titles and abstracts were searched for the occurrence of root country names (eg, “Leban” for “Lebanon” or “Lebanese”) based on the list of 183 countries with a reported service coverage index in the WHO and World Bank monitoring report;2WHOWorld BankTracking universal health coverage: 2017 global monitoring report. World Health Organization, Geneva2017Google Scholar the distinct records mentioning each country were counted. Multiple root words per country were used when appropriate (eg, “United Kingdom”, “Britain”, and “British” for the UK; “Turkey” and “Turkish” for Turkey vs “Turkm” for Turkmenistan); exclusions were made when appropriate (eg, occurrences of “United States dollars” were not counted towards the US). Further technical details are described in the appendix. 1641 (61%) of 2685 records mention at least one country root word. Firstly, it appears that several countries are invoked more often than others (figure, appendix). India, Thailand, China, South Africa, and Indonesia lead the chart with at least 75 distinct records each; Japan, Brazil, Ghana, Nigeria, Bangladesh, Kenya, and Mexico are mentioned between 55 and 75 times each. At the other end of the spectrum, 24 countries are never explicitly mentioned and another 27 have only one mention each. 101 countries appear in less than five records each. Secondly, the countries cited the most tend to be low-income and middle-income countries (LMIC), whereas those with few or no mentions tend to be high-income (HIC). Nonetheless, there are cases of well documented HICs (eg, Japan, France, USA, Canada, and UK) and many more undocumented LMICs. Thirdly, the distribution of UNICO country case-studies mirrors reasonably closely the distribution of the literature, with most case-studies concentrated among the well studied countries. However, the UNICO series also includes several case-studies of countries that are under-represented in the literature: Jamaica (1 record), Gabon (1 record), Armenia (1 record), Kyrgyzstan (1 record), Croatia (2 records), Azerbaijan (2 records), and the Dominican Republic (3 records). This analysis has limitations: it focuses on a single (albeit, arguably, the most relevant) search term, it assumes all country mentions are comparable (eg, not all countries mentioned in a given abstract might be the focus of the document), and it is restricted to titles and abstracts. As a result, Kyrgyzstan, for example, whose health financing reforms have been relatively well documented over time, appears only once. The emerging picture is nevertheless one of a UHC research focus to date on a small number of countries (particularly Brazil, Russia, India, China, and South Africa), potentially leaving the experiences of many others largely unknown. Cross-country variations in the national governments' political commitment towards the UHC agenda, domestic capacity to conduct health systems research, and (research) funding priorities of development partners, among others, might well explain some of this disparity. For example, the signature reforms of nationwide health insurance roll out in Ghana4Alhassan RK Nketiah-Amponsah E Arhinful DK A review of the national health insurance scheme in Ghana: what are the sustainability threats and prospects?.PLoS One. 2016; 11: e0165151Crossref PubMed Scopus (107) Google Scholar since 2004 (the first comprehensive insurance scheme in sub-Saharan Africa) and health technology assessment (HTA) in Thailand5Mohara A Youngkong S Velasco R et al.Using health technology assessment for informing coverage decisions in Thailand.J Comp Eff Res. 2012; 1: 137-146Crossref PubMed Scopus (60) Google Scholar (the first large-scale HTA programme in Asia) have attracted researchers' attention for more than a decade. The governments of China and India have also long engaged in various reforms towards UHC.6Reddy SK Health care reforms in India.J Am Med Assoc. 2018; 319: 2477-2478Crossref Scopus (17) Google Scholar, 7Hsiao W Li M Zhang S Universal Health Coverage: the case of China. UNRISD, Geneva2014Google Scholar South Africa's domestic political drive for UHC was reinforced with the publication of the White Paper on National Health Insurance in June, 2018, and is supported by strong domestic capacity for health systems research.8Philips JF Sheff M Boyer CB The astronomy of Africa's health systems literature during the MDG era: where are the systems clusters?.Glob Health Sci Pract. 2015; 3: 482-502Crossref PubMed Scopus (14) Google Scholar Exploratory correlation and regression analyses broadly do not suggest an association between how frequently a country is mentioned in the literature and measures of service coverage (service coverage index calculated as the geometric mean of 16 tracer indicators across four areas: reproductive, maternal, new-born, and child health; infectious diseases; noncommunicable diseases; and service capacity and access,2WHOWorld BankTracking universal health coverage: 2017 global monitoring report. World Health Organization, Geneva2017Google Scholar financial protection (percentage of households spending more than 10% of income on health care),2WHOWorld BankTracking universal health coverage: 2017 global monitoring report. World Health Organization, Geneva2017Google Scholar and external health expenditure per capita (purchasing power parity international dollars), in 2015;9WHOGlobal health expenditure database.http://apps.who.int/nha/database/Select/Indicators/enDate: 2019Date accessed: March 7, 2019Google Scholar however, more detailed analyses are needed to establish whether some form of publication bias is apparent. Validating and, if confirmed, understanding and addressing the sources of this cross-country variability in research attention might be useful for advancing the UHC agenda. Countries seeking to achieve UHC as rapidly and cost-effectively as possible could learn from the successes of many others, particularly how they handled the various hurdles, at least some of which are unlikely to be unique. The over-representation of few countries in research for UHC is bound to introduce biases in the lessons to be had from countries' practical experience, whether positive or negative. This bias could potentially undermine the fundamental UHC promise that every country must find its own way by limiting the options to what has been tried (and documented) already in a limited number of countries. The time seems ripe for a concerted effort to widen the base of countries and experiences. For more on UNICO see http://www.worldbank.org/en/topic/health/publication/universal-health-coverage-study-series For more on UNICO see http://www.worldbank.org/en/topic/health/publication/universal-health-coverage-study-series AG and KC acknowledge joint Medical Research Council (MRC) Centre for Global Infectious Disease Analysis funding from the UK MRC and Department for International Development. AC declares no competing interests. Download .pdf (.61 MB) Help with pdf files Supplementary appendix

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,530
Score d'incertitude au seuil0,813

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,055
Tête enseignante GPT0,332
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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