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Enregistrement W3166836958 · doi:10.1186/s12992-021-00726-z

Assessing how global health partnerships function: an equity-informed critical interpretive synthesis

2021· review· en· W3166836958 sur OpenAlexafffund
Katrina Plamondon, Ben Brisbois, Leslie Dubent, Charles P. Larson

Notice bibliographique

RevueGlobalization and Health · 2021
Typereview
Langueen
DomaineMedicine
ThématiqueGlobal Health and Surgery
Établissements canadiensMcGill UniversityCanadian Coalition for Global Health ResearchUniversity of Northern British ColumbiaMichael Smith Health Research BCUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Organismes subventionnairesGlobal Affairs CanadaMichael Smith Health Research BCUniversity of Northern British ColumbiaUniversity of British ColumbiaMcGill University
Mots-clésEquity (law)General partnershipPoliticsPolitical scienceSituatedPublic relationsCorporate governancePsychologyBusinessFinance

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Global health partnerships (GHPs) are situated in complex political and economic relationships and involve partners with different needs and interests (e.g., government agencies, non-governmental organizations, corporations, universities, professional associations, philanthropic organizations and communities). As part of a mixed methods study designed to develop an equity-sensitive tool to support more equity-centred North-South GHPs, this critical interpretive synthesis examined reported assessments of GHPs. RESULTS: We examined 30 peer-reviewed articles for power dynamics, equity and inequities, and contradictions or challenges encountered in North-South partnerships. Among articles reviewed, authors most often situated GHPs around a topical focus on research, capacity-building, clinical, or health services issues, with the 'work' of the partnership aiming to foster skills or respond to community needs. The specific features of GHPs that were assessed varied widely, with consistently-reported elements including the early phases of partnering; governance issues; the day-to-day work of partnerships; the performance, impacts and benefits of GHPs; and issues of inclusion. Articles shared a general interest in partnering processes and often touched briefly on issues of equity; but they rarely accounted for the complexity of sociopolitical and historical contexts shaping issues of equity in GHPs. Further, assessments of GHPs were often reported without inclusion of voices from all partners or named beneficiaries. GHPs were frequently portrayed as inherently beneficial for Southern partners, without attention to power dynamics and inequities (North-South, South-South). Though historical and political dynamics of the Global North and South were inconsistently examined as influential forces in GHPs, such dynamics were frequently portrayed as complex and characterized by asymmetries in power and resources. Generally, assessments of GHPs paid little attention to the macroeconomic forces in the power and resource dynamics of GHPs highlights the importance of considering the broader political. Our findings suggest that GHPs can serve to entrench both inequitable relationships and unfair distributions of power, resources, and wealth within and between countries (and partners) if inequitable power relationships are left unmitigated. CONCLUSIONS: We argue that specific practices could enhance GHPs' contributions to equity, both in their processes and outcomes. Enhancing partnering practices to focus on inclusion, responsiveness to North-South and South-South inequities, and recognition of GHPs as situated in a broader (and inequitable) political economy. A relational and equity-centred approach to assessing GHPs would place social justice, humility and mutual benefits as central practices-that is, regular, routine things that partners involved in partnering do intentionally to make GHPs function well. Practicing equity in GHPs requires continuous efforts to explicitly acknowledge and examine the equity implications of all aspects of partnering.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,278
score de la tête « metaresearch » (Gemma)0,433
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,278
Score d'incertitude au seuil0,891

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2780,433
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0420,021
Études des sciences et des technologies0,0100,025
Communication savante0,0290,024
Science ouverte0,0070,017
Intégrité de la recherche0,0070,008
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,234
Tête enseignante GPT0,526
Écart entre enseignants0,292 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreSynthèse

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

En bref

Citations60
Publié2021
Routes d'admission2
Résumé présentoui

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