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Enregistrement W3110395975 · doi:10.1002/cncr.33331

Cancer groups face funding crisis during the pandemic

2020· article· en· W3110395975 sur OpenAlexaboutno aff
Carrie Printz

Notice bibliographique

RevueCancer · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPandemicCoronavirus disease 2019 (COVID-19)Value (mathematics)Face (sociological concept)Public relationsMedicineCancerBusinessPolitical scienceDiseaseEconomic growthSociologyEconomics

Résumé

récupéré en direct d'OpenAlex

As the coronavirus disease 2019 (COVID-19) pandemic persisted through the spring and fall, Ovarian Cancer Canada worked to quickly transition its largest annual fundraiser—the Walk of Hope, held during September in 35 cities—to a virtual format. Instead of gathering for in-person events filled with cheering onlookers, participants walked alone or with just a few relatives and friends in their own neighborhoods to raise money for the nonprofit. Ovarian Cancer Canada's quick pivot is just 1 example of how cancer advocacy organizations worldwide have had to adapt nearly overnight to the challenges of the COVID-19 pandemic. Moreover, with significant declines in corporate sponsorships and individual donations and with the cancellation of major in-person fundraising events, some organizations have been forced to make sizable cuts to their funding and services. “Nearly all of [the groups] are projecting a drop in income—some up to 50%,” she says. “These organizations had to change on a dime the way they operate, in terms of how they provide services, and those that fund research have all been negatively impacted in terms of how much they can continue to invest.” According to MacKay, the goal of the survey was to highlight the hardship that patient advocacy and cancer organizations are experiencing and the value that they bring, particularly with regard to providing direct services to patients. Amid fears that the fall could bring another spike in COVID-19 cases, the coalitions plan to conduct a follow-up survey in December to determine how these organizations have fared 6 months after the initial survey. “Our concern is a second wave and lack of preparation in the health care system in terms of cancer services, as well as fatigue among health care workers,” MacKay says. “We need to be in front of it.” Cancer organizations globally are focusing on the areas of greatest need, and in some cases, that means they have had to reduce their advocacy activities to bolster direct patient services. Over time, those reductions could have serious implications, MacKay says. Still, she notes, some positives for the cancer community have arisen from the COVID-19 crisis. For example, the coalition of global cancer organizations that conducted the survey will likely collaborate on future, shared areas of concern. In addition, the use of telephone support groups and other virtual events has enabled more people to participate than ever before. “I'm very proud of the sector I'm working in,” MacKay says, noting that her colleagues have been innovative and resourceful in a difficult time. “I feel strongly about acknowledging the huge contribution that cancer patient advocacy groups make, and I think local and national governments should be thinking about them as a crucial part of the health economy.” Meanwhile, leaders of organizations such as Ovarian Cancer Canada are continuing to work hard to educate and reach out to their communities. “Cancer didn't go away just because of COVID-19, and we need to be a loud voice to make sure people are paying attention to their health and symptoms,” Baugh says.

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)0,020
score de la tête « metaresearch » (Gemma)0,061
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,980
Score d'incertitude au seuil0,119

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,061
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0240,008
Communication savante0,0160,013
Science ouverte0,0030,016
Intégrité de la recherche0,0150,017
Charge utile insuffisante (le modèle a refusé de juger)0,0340,006

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 Opus0,145
Tête enseignante GPT0,426
Écart entre enseignants0,282 · 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.

Devis d'étudeSans objet
DomaineIncitatifs
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

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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