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Enregistrement W4221042788 · doi:10.1093/hropen/hoac013

COVID-19 pandemic and the consequential effect on patients with endometriosis

2022· article· en· W4221042788 sur OpenAlexaff
Matilda Shaked Ashkenazi, Ole Linvåg Huseby, Gard Kroken, Adrián Soto-Mota, Marius Pents, Alessandra Loschiavo, Roksana Lewandowska, Grace Tran, Sebastian Kwiatkowski

Notice bibliographique

RevueHuman Reproduction Open · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueEndometriosis Research and Treatment
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésPandemicMedicineFamily medicineEndometriosisQuality of life (healthcare)Health careMental healthCoronavirus disease 2019 (COVID-19)DiseaseNursingGynecologyPsychiatryPolitical scienceInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

Abstract STUDY QUESTION What was the effect of the coronavirus disease 2019 (COVID-19) pandemic on healthcare and quality of life in those suffering from endometriosis? SUMMARY ANSWER Our study reveals a clear correlation between the deterioration of the reported physical and mental state and impaired medical care for patients suffering from endometriosis during the COVID-19 pandemic. WHAT IS KNOWN ALREADY The quality of life of patients suffering from endometriosis is compromised in a variety of aspects. In response to the ongoing COVID-19 pandemic, self-isolation practices aimed at curbing the spread of COVID-19 have severely complicated the availability of proper medical care worldwide. STUDY DESIGN, SIZE, DURATION The study involved a cross-sectional international self-reported online survey. Responses were accepted between November 2020 and January 2021. The survey was prepared by the Department of Obstetrics and Gynaecology in a medical university setting. The survey contained 17 questions and was placed online. Cooperation with different endometriosis organizations around the world enabled distribution of the survey through their social media platforms. PARTICIPANTS/MATERIALS, SETTING, METHODS The study participants (n = 3024 replies) originated from 59 countries. The questionnaire was created after a literature review and is partially based on the validated quality of life questionnaires, adjusted to the study question. The survey was then translated to 15 other languages following World Health Organization recommendations as closely as possible. Chi-square tests for independence were carried out for the analysis of the two variables: suspension of health services, and the patients mental and physical well-being. MAIN RESULTS AND THE ROLE OF CHANCE Out of 3024 participants from 59 countries who submitted the questionnaire between November 2020 and January 2021, 2964 (98.01%) provided information that enabled a full analysis. For the 1174 participants who had their medical appointments cancelled, 43.7% (n = 513) reported that their symptoms had been aggravated, and 49.3% (n = 579) reported that their mental state had worsened. In comparison, of the 1180 participants who kept their appointments, only 29.4% (n = 347) stated that their symptoms had been aggravated, and 27.5% (n = 325) stated their mental health had worsened. The results showed that there was a significant link between the reported deterioration of mental and physical wellbeing and impaired medical care (cancellation) (P ≪ 0.001). A total of 610 participants did not have medical appointments scheduled, and these participants followed a similar pattern as the participants who kept their appointments, with 29.0% (n = 177) reporting aggravation of symptoms and 28.2% (n = 172) reporting that their mental state had worsened. LIMITATIONS, REASONS FOR CAUTION Cultural differences among international participants are to be expected and this may have affected how participants from different countries interpreted and answered the questionnaire. Translating the questionnaire into 15 different languages, even though incorporating backwards translation, could possibly lead to different interpretations of given questions, simply based on different wording in the languages. The majority of respondents (around 90%) were from Europe and South America and therefore the findings may not be generalizable to other locations. WIDER IMPLICATIONS OF THE FINDINGS Further research is needed to assess the true impact and long-term consequences of the COVID-19 pandemic for patients living with endometriosis. STUDY FUNDING/COMPETING INTEREST(S) This study received no funding and the authors declare they have no relevant conflicts of interest. TRIAL REGISTRATION NUMBER N/A.

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)0,001
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,009
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,000

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 Opus0,061
Tête enseignante GPT0,371
Écart entre enseignants0,309 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations15
Publié2022
Routes d'admission1
Résumé présentoui

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