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Enregistrement W2895232564 · doi:10.11124/jbisrir-2017-003936

Context revisited: situations beyond our kin

2018· editorial· en· W2895232564 sur OpenAlexaffabout
Christina Godfrey, Rosemary Wilson, Kim Sears, Amanda Ross‐White

Notice bibliographique

RevueThe JBI Database of Systematic Reviews and Implementation Reports · 2018
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésExcellenceContext (archaeology)Active listeningHealth careQuality (philosophy)Public relationsPatient safetyMedicineMedical educationPsychologyDeveloping countryNursingPolitical scienceHistory

Résumé

récupéré en direct d'OpenAlex

During a recent training event of the Queen's Collaboration for Health Care Quality: a Joanna Briggs Institute Centre of Excellence (QcHcQ), at Queen's University in Kingston, Canada, attendees were discussing topics for a systematic review. These attendees were all library scientists, six of whom were from Sub Saharan African countries. One attendee posed an important question about strategies used to keep patients safe in a hospital setting. Even though our team at QcHcQ has extensive expertise in health care quality and patient safety in both developed and developing countries, our thoughts went to risks such as hospital acquired infections, falls and adverse drug events. However, one attendee went on to explain that patients were often assaulted in their hospital beds and was determined to investigate strategies to prevent these violations and keep patients safe. This alarming and unexpected extension of the bounds of the concept of patient safety highlights the importance of being aware of the context in which people live and work. Remaining mindful and open to listening to the experiences of health professionals is a key part of bringing evidence into practice globally and is consistent with the tailoring, problem solving and mutual learning activities that are part of the knowledge translation process.1-3 These activities address the “gap” between what is known and what is done that exists despite evidence synthesis and the development of important clinical guidelines that are accessible in low- and middle-income countries (LMICs).4 Examination of the context of care in diverse settings, such as those in LMICs, must go beyond cursory description and surface assessment of current practice and processes. Collaborators who seek to work together to achieve contextualized evidence for care in LMICs must focus on engagement with local colleagues: to dig deep in environments to uncover the features of society and culture, structure, relationships and resources encountered in these settings. For example, in a recent study of clinician and environmental factors affecting pain care in one LMIC, Nyirigira et al.5 found that factors in organizational culture and clinical resource allocation were cited by clinicians as barriers to the sustainable implementation of evidence-informed care. Bayou6 also described the difficulties clinicians face in breaking free of established practices to innovate and “lead change” in evidence informed practice, particularly when the evidence is not produced locally. Okwen confirmed this challenge and added a call to develop innovations to challenge the status quo while recognizing the financial barriers to evidence use in LMICs.7 There is a fundamental need to bring together clinicians, policy-makers and researchers in LMICs to define concepts like quality of care at a cultural level to avoid inappropriate comparisons that can add increase barriers to evidence use in LMIC. Jayasekara and Shultz provide an example from curriculum development with their recommendation for assessment of cultural relevance of concepts that are appropriate to developed countries prior to implementation.8 Meaningful and mutual engagement in the contextualization of evidence for practice takes time. Collaborators from developed countries need to be prepared to provide consistent support and to give as well as receive guidance from local colleagues in the knowledge translation process. Ultimately, the sustainability of evidence informed implementation projects depends on its appropriateness and feasibility in the environment and the commitment of the setting to a local definition of quality.

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)0,051
score de la tête « metaresearch » (Gemma)0,098
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,268

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0510,098
Méta-épidémiologie (sens strict)0,0020,003
Méta-épidémiologie (sens large)0,0040,002
Bibliométrie0,0040,004
Études des sciences et des technologies0,0550,076
Communication savante0,0260,053
Science ouverte0,0050,050
Intégrité de la recherche0,0190,045
Charge utile insuffisante (le modèle a refusé de juger)0,0150,002

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 Opus0,170
Tête enseignante GPT0,544
Écart entre enseignants0,374 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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