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Enregistrement W4387765084 · doi:10.22605/rrh8236

Innovative shortcuts and initiatives in primary health care for rural/remote localities: a scoping review on how to overcome the COVID-19 pandemic

2023· review· en· W4387765084 sur OpenAlexaboutno aff
Barbalho, Schenkman, Sousa, Bousquat

Notice bibliographique

RevueRural and Remote Health · 2023
Typereview
Langueen
DomaineMedicine
ThématiqueTelemedicine and Telehealth Implementation
Établissements canadiensnon disponible
Organismes subventionnairesConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
Mots-clésPandemicContext (archaeology)Scope (computer science)Rural areaHealth carePolitical scienceRestructuringPublic relationsEconomic growthMedicineGeographyCoronavirus disease 2019 (COVID-19)Computer science

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: The COVID-19 pandemic has emerged as one of the greatest challenges to societies, world health systems and science in the past century, making it imperative to restructure care networks. Therefore, it is essential to discuss the role and initiatives of primary health care (PHC) to deal with it. However, regarding the response to the pandemic, including the current global effort against COVID-19, the nuances of the rural/remote PHC context in the pandemic is barely visible. Rural and remote communities have differentiated health risks, such as socioeconomic disadvantages, difficulties in mobility and access to health services, in addition to linguistic and cultural barriers. This scoping review aimed to analyze the set of individual and collective initiatives and innovations developed to face the COVID-19 pandemic, within the PHC scope, in rural and remote areas. METHODS: A scoping review methodology was applied to peer-reviewed articles. Eight databases were searched to identify scientific articles published in English, Spanish and Portuguese, initially from January 2020 to July 2021, complemented by a rapid review of articles published from January 2022 to April 2023. The main focus sought in the literature was the set of initiatives and innovations carried out within the PHC scope in rural and remote locations during the pandemic, as well as the comparison with pre-pandemic situations and between different countries. The bibliographic information of each search result was imported into Rayyan (Intelligent Systematic Review), followed by the screening and eligibility stages, performed independently by two reviewers, with a third reviewer being accessed in case of conflicts. RESULTS: This review included 54 studies, with publications mostly from Australia, Canada, the US and India. The main PHC initiatives were related to access; to the roles of community health workers and health surveillance; and to the importance of placing, retaining and valuing human resources in health. Cultural, equity and vulnerability issues occupy a major place among the initiatives. Regarding the innovations, telehealth and customized communication are highlighted. From an organizational point of view, rural and remote locations showed enormous flexibility to deal with the pandemic and to improve intersectoral activities at the local level. The description of rurality and remoteness is practically coincident with that of the specific populations, present in geographic areas of difficult sociospatial and cultural access. Rarely, there is an index to measure rurality, or its description deals with the need to overcome distances and obstacles. CONCLUSION: The findings highlight and summarize knowledge about initiatives and innovations developed to face the COVID-19 pandemic, within the PHC scope in rural and remote areas in the world. This review has identified collective, clinical, intersectoral and, mainly, organizational health initiatives. An articulation between different government levels would be paramount in evaluating the implementation of policies and protocols in rural and remote locations for future sanitary crises. Innovations and lessons learned are equally relevant in strengthening health services and systems. This issue calls for considerable further exploration by new reviews and empirical research that seek evidence to assess the sustainability and effectiveness of the implemented measures to face post-pandemic difficulties and other adversities.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,605
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,178
Tête enseignante GPT0,492
Écart entre enseignants0,314 · 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.

Devis d'étudeRevue systématique
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

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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