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Enregistrement W2334843839 · doi:10.1097/ede.0b013e31826ce65b

Rejoinder

2012· letter· fr· W2334843839 sur OpenAlexaff
David W. Dowdy, Madhukar Pai

Notice bibliographique

RevueEpidemiology · 2012
Typeletter
Languefr
DomaineHealth Professions
ThématiquePublic Health Policies and Education
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésKnowledge translationPopulationRepresentation (politics)Public relationsPolitical scienceEpistemologyMedicineSociologyLaw and economicsComputer sciencePoliticsKnowledge managementLaw

Résumé

récupéré en direct d'OpenAlex

In this issue of EPIDEMIOLOGY, we propose the term “Accountable Health Advocate” (AHA) as “a model for the epidemiologist who specializes in knowledge synthesis, translation, and dissemination, in addition to knowledge generation.”1 The AHA model, like any other model, cannot provide a perfect representation of reality. At best, a model is a useful representation—in this case, one that may help to distill complex phenomena into measures that we can use to improve health. McKeown2 and Ness3 point out that our model of the AHA is far from perfect. We do not disagree. As McKeown describes, the practice of epidemiology is dynamic and multidimensional, and many epidemiologists do indeed practice both knowledge generation and knowledge translation to varying degrees. By highlighting the importance of accountable health advocacy, we wish to neither downplay the importance of the many initiatives cited by McKeown and Ness—from the Plain Writing Act to the Joint Policy Committee of the Societies of Epidemiology—nor suggest that these initiatives lack impact. Rather, as Ness argues, we hope that epidemiologists will expand these and other initiatives that allow us to “move from observation to intervention.” The question is not whether the model of epidemiologist as AHA is “right,” but whether reformulating the epidemiologist as AHA is useful to achieve the ultimate goal identified by Ness as the “attainment of better population health.” In defining population health, we believe the focus should be on human well being,4 not merely the advancement of knowledge. McKeown2 and Ness3 argue that our formulation of the AHA may paradoxically detract from the goal of improved human well being, by allowing “the rest of us”2 to “eschew [our] responsibility”3 to be accountable to society, to prioritize population health, and to actively engage with policymakers and opinion leaders. McKeown and Ness worry that, if we brand some epidemiologists with expertise in knowledge translation as AHAs, others with expertise in knowledge generation may brand themselves as “non-AHAs.” The concern is that such people would, as a result of the AHA model, become less accountable to society, less concerned with population health, and less engaged with decision makers. We do not believe this will happen. Rather, we see the AHA as analogous to the voluntary credentialing of public health graduates, initiated in 2008 as a method of “encouraging recognition of new public health graduates prepared with [a] broad vision of public health.”5,6 Some persons who decline to participate in the credentialing process do so not because they reject the importance of broad expertise in public health, but because the credentialing “square peg” does not fit their “round” professional vision. The success or failure of that initiative can only be measured over time as epidemiologists and society either recognize its value and adopt it more widely or allow it to fall by the wayside. Similarly, we propose the AHA model as a means to encourage epidemiologists who might wish to shift their professional focus more toward knowledge translation but lack the professional support (funding, publication, professional advancement) to do so. Over time, the AHA model will either be further developed and more widely adopted or (if there is no need for a new type of epidemiology) forgotten. We see the AHA model as particularly relevant to students and other trainees of epidemiology, whose professional paths are most malleable. We cannot expect students to fully grasp the nuances of the spectrum of epidemiologic practice before they enter the workforce; a simple conceptual framework can be useful as trainees consider the professional options available to them. For students who plan to pursue methodologically oriented academic training (eg, PhD rather than DrPH) but do not wish to fashion themselves primarily as knowledge generators, the AHA model may provide a roadmap. As Ness3 points out, complacency is the one thing we cannot afford in pursuit of a brand of epidemiology that more universally approaches the AHA ideal. The desire to improve health is an urgent one, and we need alternatives to the status quo. The AHA model does not capture the full scope of epidemiologic work, nor will it fit every epidemiologist’s professional vision. However, we hope that there will be epidemiologists (including trainees) to whom this model speaks, and who will find incentives to shape their practice in the direction of more knowledge translation and ultimately improved human health. Despite being imperfect, we hope the AHA model might ultimately prove useful.

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)0,017
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,116
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0170,021
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0090,011
Charge utile insuffisante (le modèle a refusé de juger)0,0460,043

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 Opus0,305
Tête enseignante GPT0,540
Écart entre enseignants0,236 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2012
Routes d'admission1
Résumé présentoui

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