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Enregistrement W7115700788 · doi:10.48448/8j59-tk58

Development of a reporting guideline on health equity in observational research (STROBE-Equity)

2025· other· W7115700788 sur OpenAlexaffabout

Notice bibliographique

RevueUnderline Science Inc. · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensBruyère
Organismes subventionnairesnon disponible
Mots-clésObservational studyGuidelineStrengthening the reporting of observational studies in epidemiologyEquity (law)Transparency (behavior)Health equity

Résumé

récupéré en direct d'OpenAlex

Cath Chamberlain,1 Peter Craig,2 Luis Gabriel Cuervo,3 Omar Dewidar,4 H. N. Ellingwood,5 Elizabeth Ghogomu,6 Billie-Jo Hardy,7 Tanya Horsley,8 Sonya Faber,9 Cindy Feng,10 Damian Francis,11 Sarah Funnell,12 Alison Krentel,9 Janet Jull,12 Elizabeth Kristjansson,13 Julian Little,9 Loveline Lum Niba,14 Tamara Kredo,15 Zack Marshall,16 Lawrence Mbuagbaw,17 Michael Johnson Mahande,18 Stuart Nicholls,19 Miriam Nkangu Nguilefem,9 Ekwaro Obuku,20 Oyekola Oloyede,21 Ebenezer Owusu-Addo,22 Kevin Pottie,23 Jacqueline Ramke,24 Alison Riddle,6 Anita Rizvi,13 Janet Hatcher Roberts,9 Larissa Shamseer,25 Melissa Sharp,26 Janice Tufte,27 Peter Tugwell,28 Xiaoqin Wang,29 Laura Weeks,30 Charles Wisonge,31 Luke Wolfenden,32 Taryn Young,33 Vivian Welch6 Objective Advancing health equity requires improvements in the conduct, analysis, and reporting of health research. Many observational studies are relevant to health equity because they use data that can advance our understanding of health inequities, including the systemic structures that perpetuate them. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline for the reporting of observational studies is highly endorsed by journal editors; however, the consideration of health equity has not been explicitly addressed in the STROBE statement. As a result, editors have been limited in their ability to promote the reporting of health equity data and considerations. The STROBE-Equity extension provides actionable guidance for equity-relevant observational studies to fill this gap. Design The development of STROBE-Equity adhered to a published protocol, informed by the Enhancing the Quality and Transparency of Health Research (EQUATOR) Network’s methodological framework including a scoping review of existing guidance, methods study, key informant interviews, and a global online survey. The project team was diverse across multiple domains, including lived experience of health inequity, gender, career stage, age, ethnicity, Indigenous background, disciplines, place of residence, and different decision-making roles. We recruited team members from our international network of patients, researchers, editors, and practitioners who had prior involvement in observational studies or expertise in reporting guidelines, biostatistics, knowledge translation, and patient engagement. We applied an integrated knowledge translation approach to (1) assess the reporting of health equity in published observational studies through a scoping review of available guidance, methodological review of observational studies, and key informant interviews; (2) seek wide international input on draft items; and (3) establish consensus amongst knowledge users and researchers through a 2-day consensus meeting. The development of the reporting guideline occurred between January 2020 and February 2024, with consensus achieved in May 2024. Results Our process identified 10 extension items for the STROBE statement to offer guidance for reporting of health equity (Table 25-1136). The items involve the following: (1) facilitating the identification of health equity relevance, (2) describing the purpose of the study in relation to health equity, (3) describing team composition, (4) engagement with individuals experiencing inequities relevant to the condition of interest, (5) sampling and recruitment of relevant populations, (6) participant selection, (7) analytical methods, (8) describing participant flow for relevant populations, (9) describing the characteristics of study participants, and (10) interpretation of study findings in relation to health equity. Conclusions The use of the STROBE-Equity extension alongside the original STROBE statement aims to promote transparent reporting of health equity data and considerations in observational research. Journal editors endorsing the use of this guideline can help advance health equity through improved reporting, ultimately contributing to research that informs more equitable policies and interventions. 1University of Melbourne, Australia; 2MRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, UK; 3Pan American Health Organization, Washington, DC, US; 4University of Toronto, Canada; 5Carleton University, Canada; 6Bruyère Health Research Institute, Canada; 7Dalla Lana School of Public Health, University of Toronto, Canada; 8Royal College of Physicians and Surgeons, Canada; 9School of Epidemiology and Public Health, University of Ottawa, Canada; 10Dalhousie University, Canada; 11PhD/School of Health and Human Performance, Center for Health and Social Issues, Georgia College, Milledgeville, GA, US; 12Queens University, Canada; 13School of Psychology, University of Ottawa, Canada; 14Department of Public Health, Faculty of Health Sciences, The University of Bamenda, Cameroon; 15South Africa Medical Research Council, South Africa; 16Department of Community Health Sciences, Cumming School of Medicine, University of Calgary and O’Brien Institute for Public Health, University of Calgary, Canada; 17McMaster University, Canada; 18Kilimanjaro Christian Medical Centre, Kenya; 19Centre for Practice-Changing Research, Ottawa Hospital Research Institute, Canada; 20Africa Centre for Systematic Reviews and Knowledge Translation, Kampala, Uganda; 21Sefako Makgatho Health Sciences University, South Africa; 22Bureau of Integrated Rural Development, College of Agriculture and Natural Resources, Ghana; 23Dalhousie University, Canada; 24International Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK; 25Knowledge Translation Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Canada; 26Department of Public Health & Epidemiology, School of Population Health, Ireland; 27Catalyst for Positive Change, US; 28Department of Medicine, Faculty of Medicine, University of Ottawa, Canada; 29University of Ottawa Heart Institute, Canada; 30Canada’s Drug Agency, Ottawa, Canada; 31South Africa Medical Research Council, South Africa; 32University of Newcastle, Australia; 33Stellenbosch University, South Africa; vwelch@campbellcollaboration.org. Conflict of Interest Disclosures Kevin Pottie, Lawrence Mbuagbaw, Vivian Welch, and Peter Tugwell declare they are co-convenors of the Cochrane Health Equity Thematic Group. No other disclosures were reported. Funding This work was funded by the Canadian Institutes of Health Research. The funder had no role in the project design, implementation, or decision to publish. Vivian Welch is funded by a Public Health Agency of Canada and Canadian Institute of Health Research Applied Public Health Chair award. Kevin Pottie is funded by a Dalhousie University Faculty of Medicine Chair in Family Medicine. Acknowledgment The authors thank all the respondents to the global survey.

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)0,557
score de la tête « metaresearch » (Gemma)0,818
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Présentation des résultats · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,443
Score d'incertitude au seuil0,546

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,5570,818
Méta-épidémiologie (sens strict)0,0050,009
Méta-épidémiologie (sens large)0,0120,024
Bibliométrie0,0250,024
Études des sciences et des technologies0,0050,008
Communication savante0,0260,011
Science ouverte0,0120,015
Intégrité de la recherche0,0240,024
Charge utile insuffisante (le modèle a refusé de juger)0,0420,034

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 Opus0,574
Tête enseignante GPT0,585
Écart entre enseignants0,011 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
DomainePrésentation des résultats
GenreMéthodes

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
Publié2025
Routes d'admission2
Résumé présentoui

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