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Enregistrement W4309161410 · doi:10.2196/40600

Esophagogastroduodenoscopy Screening Intentions During the COVID-19 Pandemic in Japan: Web-Based Survey

2022· article· en· W4309161410 sur OpenAlexvenueno aff
Takemi Akahane, Yasuhiro Nakanishi, Hitoshi Yoshiji, Manabu Akahane

Notice bibliographique

RevueJMIR Cancer · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesNorwegian Institute of Public Health
Mots-clésEsophagogastroduodenoscopyPandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyMedicineOutbreakInternal medicineEndoscopy

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: The number of people undergoing cancer screening decreased during the COVID-19 pandemic. The pandemic may have affected the willingness and motivation of undergoing cancer screening by those eligible for it. OBJECTIVE: This study aims to clarify the effect of the COVID-19 pandemic on the intention to undergo cancer and esophagogastroduodenoscopy (EGD) screening. METHODS: We performed a web-based survey on the intention to undergo screening among 1236 men and women aged 20-79 years. The numbers of participants by sex and 10-year age groups were equal. The survey was conducted in January 2021, during which the government declared a state of emergency because of the third wave of the COVID-19 pandemic in Japan. Emergency declarations were issued in 11 prefectures among all the 47 prefectures in Japan. RESULTS: In total, 66.1% (817/1236) of the participants felt anxious about undergoing screening due to COVID-19. More women than men were anxious about undergoing screening. By modality, EGD had the highest percentage of participants with anxiety due to COVID-19. Regarding the intention to change the participants' appointment for screening, the most common strategies were to book an appointment for a time during nonpeak hours, postpone the appointment to a later date, and change the mode of transportation. In addition, 35.8% (442/1236) of the participants were willing to cancel this year's screening appointment. Among the 1236 participants, 757 (61.2%) were scheduled for screening in 2020. Of the 757 participants in this subgroup, 68% (n=515) did not change the schedule, 6.1% (n=46) cancelled, and 26% (n=197) made some changes, including changing the appointment date, hospital, or mode of transportation. Among the 296 participants scheduled for EGD screening, 18.9% (n=56) made some changes, 5.7% (n=17) cancelled on their own, and 2.7% (n=8) cancelled on the hospital's order. Based on the previous screening results, the percentage of participants who felt anxious about EGD due to the COVID-19 pandemic was higher in the order of those who had not undergone screening and those who were judged to be in need of further examination in screening but did not visit a hospital for it. In the logistic regression analysis, the factors associated with anxiety about EGD screening due to the COVID-19 pandemic were "viral infection prevention measures," "waiting time," "fees (medical expenses)," "mode of transportation," "worry about my social position if I contracted COVID-19," and "perceived the risk of gastric cancer." However, "residence in declared emergency area" was not associated with EGD anxiety due to COVID-19. CONCLUSIONS: Excessive anxiety about COVID-19 may lead to serious outcomes, such as a "decreasing intention to undergo EGD screening," and it is necessary to thoroughly implement infection prevention measures and provide correct information to examinees.

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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

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

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 Opus0,129
Tête enseignante GPT0,439
Écart entre enseignants0,311 · 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'étudeObservationnel
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

Citations16
Publié2022
Routes d'admission1
Résumé présentoui

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