Systematic Reviews and Knowledge translation/Revues Systematiques et Mise En Pratique Des connaissances/Revisiones Sistematicas Y Traslacion De Conocimientos
Notice bibliographique
Résumé
Introduction Although proven effective interventions exist that would enable all countries to meet Millennium Development Goals, (1) uptake and use of these interventions among poorest populations is at least 50% less than among richest populations within each country. (2) Furthermore, we have recently shown that community effectiveness of interventions is lower in poorest populations owing to a effect of lower coverage and/or access, inferior diagnostic accuracy, less provider compliance and less consumer adherence. (3) The WHO Knowledge Management and Sharing (KMS) group adapted Canadian Institutes of Health Research definition of knowledge translation (4) (KT) for lower- and middle-income countries (LMIC) as: the synthesis, exchange and application of knowledge by relevant stakeholders to accelerate benefits of global and local innovation in strengthening health systems and improving people's health. (5) In addition to this focus on health systems, we propose that KT strategies aiming to enhance equity need to target barriers to achieving optimal effectiveness across socioeconomic status (SES). Although systematic reviews are increasingly recognized as best available source of evidence for decisions about health-care management and policy, owing to greater confidence and less bias in results than when relying on individual trials, (6-8) they have tended to focus on average results, ignoring distributional effects that are likely to occur in implementing these interventions. (9) Expanding on our recently-published equity-effectiveness loop (Fig. 1) framework, (3) we propose an evidence-based framework--or cascade--for equity-oriented knowledge translation (Fig. 2), drawing on systematic reviews to assess barriers and facilitators, identifying interventions to overcome barriers, choosing appropriate KT strategies, evaluation, through to knowledge management and sharing. We use two tracer interventions to illustrate this framework. [FIGURES 1-2 OMITTED] Methods Equity-effectiveness KT initiatives should be saved for interventions of known efficacy that are documented by systematic reviews. We selected two such interventions of major importance in LMIC--insecticide-treated bednets (ITNs) and immunization--and used community equity-effectiveness loop (Fig. 1) to assess community effectiveness across equity factors as a first step to identifying key barriers that need to be addressed by KT strategies to enhance health equity. (3) We used hypothetical estimates to estimate equity-effectiveness (Table 1). We have not assessed impact on diagnostic or screening accuracy, since all individuals are eligible for both ITNs and immunization. ITNs A Cochrane systematic review found that efficacy of ITNs in reducing mortality from malaria is 20%. (10) This potential is attenuated by a effect of barriers, i.e. incomplete access (availability, affordability), partial provider compliance in recommending ITNs, and incomplete consumer adherence in using bednet once purchased; leading to a loss of more than half potential benefit, with greater loss in poorest (see Table 1). Immunization The efficacy of immunization against childhood diseases has been estimated at greater than 80%. (11) Again, owing to critically important barriers, downward staircase effect dramatically reduces true impact: full immunization is achieved for only 40% of poorest economic quintile compared with about 60% of richest in 56 countries. Access to immunization depends on setting. In most of Africa, immunization is offered free-of-charge by Expanded Programme on Immunization (EPI), but access is imperfect owing to system constraints such as supply and production issues, human resources and organizational constraints. Provider compliance (defined as attention to cold-chain and providers' willingness and ability to comply with recommended immunization schedule) and consumer adherence (defined in this context as willingness of general public to immunize) were estimated to be 80% for richest and 70% for poorest populations, respectively. …
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,449 | 0,682 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,005 |
| Méta-épidémiologie (sens large) | 0,015 | 0,010 |
| Bibliométrie | 0,049 | 0,042 |
| Études des sciences et des technologies | 0,003 | 0,015 |
| Communication savante | 0,025 | 0,023 |
| Science ouverte | 0,008 | 0,012 |
| Intégrité de la recherche | 0,010 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».