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Enregistrement W4391816424 · doi:10.1111/cea.14463

Patient‐reported outcomes in food allergy: Speaking the same language to address some of the <scp>GAPS</scp>

2024· editorial· en· W4391816424 sur OpenAlexaffabout
Jennifer L. P. Protudjer, Helen A. Brough, Christina Jones, Mary Jane Marchisotto, Linda Herbert, Caity Roleston, Rebecca Knibb

Notice bibliographique

RevueClinical & Experimental Allergy · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueFood Allergy and Anaphylaxis Research
Établissements canadiensGeorge & Fay Yee Centre for Healthcare InnovationUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesEuropean Academy of Allergy and Clinical ImmunologyNovartisNational Institute for Health and Care ResearchNational Institutes of HealthNational Peanut BoardLeidosAimmune Therapeutics
Mots-clésFood allergyAllergyFood hypersensitivityMedicineImmunology

Résumé

récupéré en direct d'OpenAlex

The shift to patient-oriented research, which reflects the voices of patients and caregivers who are experts by experience (EBE),1 has resulted in meaningful research and outcomes. Concurrent shifts towards research that addresses equity, diversity and inclusion have similarly prompted awareness that much research has included patients who represent narrow demographics, specifically affluent White families in high-income countries.2 These shifts are essential and exciting though not without methodological challenges, ranging from ways to respectfully engage underrepresented groups, to interpreting findings through culturally respectful lenses. Food allergy (FA) has substantial psychosocial impacts.3-5 However, less is known about how or if these findings reflect culturally, socioeconomically and geographically diverse populations. Such relevance requires detailed and contextualized understanding, which can be gleaned through qualitative designs. The Global Access to Psychological Services for FA (GAPS; Aston University Research Ethics Committee REC ID number 1621) study aims to explore the need and uptake of psychological services in multiple countries and languages (Figure 1, Panel A). In the present paper, we aimed to provide guidance, informed by our own experiences conducting a multilingual, international qualitative study, for groups wishing to perform similar work (Figure 1, Panel B). To recruit diverse populations within a country, we recruited via multiple methods, including social media and via patient organizations, and selected participants based on gender, age, ethnicity, number and type of allergen(s) and age at diagnosis. All participants provided written informed consent. Semi-structured interview guides were developed through literature review and engagement with content and methodological experts and EBE. For practical reasons, the original development occurred in a single language (English). Translation of the instrument occurred per World Health Organization guidelines and included both forward and backward translation.6 Forward translation involved instrument translation from the original language to the target language(s), a process that required the translator to have language skills at maternal language proficiency, and familiarity with health concepts and terms. Thereafter, interview guides were independently back-translated, during which time the translators did not have access to the document in the original language. Although presented linearly, this process involved several rounds, until the translation was deemed satisfactory and any differences, including unclear/complicated terms, were resolved. Thereafter, the document was considered to be a final translation.6 As those managing FA carry a heavy psychological burden,3-5 more complete insight is gained when participants are able to express themselves in their mother tongue, and wherever possible, with an interviewer who understands age-informed language use, cultural context and vernacular. A lack of such understanding may contribute to erroneous use of a word or misinterpretation of a comment. To this end, interviewers were encouraged to request clarification of a term, despite the interruption. Some researchers collect multilingual qualitative data and complete the translation prior to analysis as it may contribute to the clearer establishment of linkages of transcripts.7 Translation prior to analysis, however, increases the potential for bias where an analyst may not speak the language used to collect data or have the cultural frame of reference to comprehensively interpret the data. Linguistic misinterpretations or incomplete analyses may occur and parts of the original data set may be lost in translation.”8, p. 4 Multiple analysts can provide an opportunity for intercoder reliability—a necessary step in multilingual analysis given the risk of misinterpretation in the absence of a holistic knowledge of the culture and language, including regional variation. This guidance is distinct from triangulation, or the use of multiple data sets, analysts or theories, which is often used to enhance credibility in qualitative analysis.9 Developing a multilingual team was time-intensive and established through existing networks. To facilitate new collaborations, initial contact was with mutually known colleagues. Time demands were substantial, and ranged from translation to differences in institutional processes. Financial resource demands ranged from inter-institutional transfers of funds for research assistant salaries to participant honoraria and translation costs. E-gift cards are a common form of honoraria, but non-standard amounts when distributed in different currencies had varying purchasing capacities. The translation was charged by the word, the price of which was negotiable with the translator given the volume of work. Short-text translations (e.g. social media posts) were more efficiently and cost-effectively translated by the study team. As is good practice for all qualitative research, interviewers were trained to remain professional,9 and empathically neutral,9 and our research team was governed by the ethical approval of our host institution. Herein, our team additionally sought clarification if cultural context or expressions were unclear, and avoided conversation with, or counselling the participant. This included refraining from the use of colloquialisms, which may not be well-received or understood by other cultures/in other languages. Likewise, as cultural norms related to food preparation and childcare differ between countries, interviewers were trained to respectfully and neutrally explore subjects without raising any of their own cultural norms. Finally, as we sought to recruit diverse populations, it behoved the research team to remain mindful of their privilege, both to collect personal data and as a product of their education and employment. Investigations into the psychological burdens of FA must acknowledge participants' rights to fully and freely express themselves in their preferred language. Considerations presented herein are critical for multilingual qualitative studies at every stage of the study, beginning with instrument development and continuing through data collection and analysis. JLPP wrote the first draft of the manuscript and is a GAPS investigator. HB, CJJ, MJM, LJH and RCK contributed to the intellectual content of the manuscript, approved the final version of the manuscript for submission and are GAPS investigators. CR contributed to the intellectual content of the manuscript and approved the final version of the manuscript for submission. Novartis, Aimmune, National Peanut Board, EAACI. JLPP is Section Head, Allied, Canadian Society of Allergy and Clinical Immunology and is on the steering committee for Canada's National Food Allergy Action Plan. She reports consulting for Novartis, Nutricia and ALK Abelló. HB reports research grant support from NIH, Aimmune and DBV Technologies and speaker fees from DBV Technologies and Chair for the Paediatric section 2019–2022 European Academy of Allergy and Clinical Immunology. CJJ reports research grant support from NIHR. MJM reports advisory work for Novartis, University of Michigan, and GA2LEN. LJH reports research support from NIAID and Leidos. CR reports none. RCK reports research grants from NIHR, Food Standards Agency, Aimmune, National Peanut Board, Novartis; honorariums from DBV Technologies, Nutricia; is Chair of the Psychology working group of the BSACI and sits on BSACI council. Research data are not shared.

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)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,197
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,002
Intégrité de la recherche0,0010,003
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 Opus0,041
Tête enseignante GPT0,395
Écart entre enseignants0,355 · 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'étudeSans objet
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
Publié2024
Routes d'admission2
Résumé présentoui

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