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Enregistrement W4389231172 · doi:10.1182/blood-2023-181402

An Approach to Hemequity: Identifying the Barriers and Enablers of Iron Deficiency Reduction Strategies in Low-to-Middle-Income Countries

2023· article· en· W4389231172 sur OpenAlexaff
Shiliang Ge, Saif Ali, Victoria Haldane, Carine Bekdache, Grace H. Tang, Michelle Sholzberg

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensSt. Michael's HospitalPublic Health OntarioUniversity of TorontoMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineScopusIron-deficiency anemiaAnemiaLow and middle income countriesMEDLINEGrey literatureGlobal healthEnvironmental healthIron deficiencyDeveloping countryPediatricsFamily medicinePublic healthNursingPolitical sciencePsychiatryEconomic growth

Résumé

récupéré en direct d'OpenAlex

Background Approximately half a billion women of reproductive age worldwide are anemic, and iron deficiency is the most common cause. Iron deficiency anemia (IDA) is cyclical and compounding with intergenerational transfer of poor iron status, where antenatal and perinatal IDA predisposes to IDA in infancy. While IDA is correctable, it remains under-addressed globally and particularly in low-to-middle-income countries (LMICs), with 85% of cases occurring in LMICs of Africa and Asia. IDA is associated with significant morbidity and mortality. In fact, pre-existing anemia and lack of access to blood components and products are the main drivers of maternal deaths in LMICs. Despite abundant evidence that iron supplementation is an effective and life-saving intervention, there is little understanding of how to deliver it effectively in LMICs and its diverse health systems. Objective The primary objective of this study is to identify the enablers and barriers to effective implementation of IDA reduction strategies in LMICs in the published literature to date. Methods A scoping review was conducted using a comprehensive search of MEDLINE, Embase, Scopus, and grey literature from inception to March 2023. Two reviewers independently screened and performed data extraction. We included studies examining iron supplementation and its implementation amongst women of reproductive age who reside in LMICs, as defined by the World Bank. Behavioral, clinical, patient-oriented and process outcomes were also included. We were guided by the intersectionality-enhanced versions of the Theoretical Domains Framework and Consolidated Framework for Implementation Research in our data synthesis to understand the factors influencing health behaviors. Results Of the 9959 articles screened, 50 studies - primarily randomized control trials (6/50), cohort (19/50), cross-sectional (15/50) and other qualitative study designs (5/50) - were included. 50% of the studies were implemented in Africa, 42% in Asia, 6% in South America and 2% in the Middle East. Barriers and enablers of IDA reduction strategies are summarized in Figure 1. Barriers: Contextual barriers included the gross underestimation and deprioritization of IDA risk in women of reproductive age; gender norms and disparities with women's health ranking as the last priority in family dynamics; and intergenerational influences from mothers-in-law who are unfamiliar with iron supplements. Interestingly, the concept of “pill stigma” emerged as a salient theme where women were fearful that taking iron supplements could be mistaken for taking antiretrovirals, suggesting additive stigma from the HIV/AIDS epidemic. Poverty at the individual, government and stakeholder levels also led to supply chain barriers, further exacerbated by conflict, war and natural disasters undermining food security and community initiatives. Forgetfulness was cited as the most common barrier to individual iron supplement uptake. Enablers: Enablers at the individual level included knowledge of anemia and iron supplements, partner support, early access to care, high socioeconomic status, and maternal literacy. Successful interventions utilized existing infrastructures, such as schools and antenatal clinics, to facilitate delivery of supplements and community initiatives. Moreover, education initiatives that included women and their greater communities increased IDA knowledge and empowered women in community decision making. Community mobilization and the degree of community ownership also determined success and sustainability of IDA reduction strategies. Finally, adherence partners, already part of the woman's social network, helped address social and cultural constraints tailored to her individual context. Conclusion We identified numerous barriers and enablers of IDA reduction strategies at different levels of the socio-ecological model and its interaction with individual-level factors. IDA is not only a medical problem, but one that is rooted in the sociocultural and political context. Both contextual and individual factors contribute to overt and subclinical manifestations of IDA, leading to further iron debt and gender inequity in LMICs. Future interventions must recognize the resilience of LMIC communities and acknowledge the importance of knowledge translation and exchange rooted in local context with community ownership and empowerment.

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)0,060
score de la tête « metaresearch » (Gemma)0,122
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,060
Score d'incertitude au seuil0,319

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0600,122
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0250,021
Études des sciences et des technologies0,0030,003
Communication savante0,0100,013
Science ouverte0,0030,008
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,022
Tête enseignante GPT0,281
Écart entre enseignants0,258 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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
Publié2023
Routes d'admission1
Résumé présentoui

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