Challenges Providing Nutrition Care during the COVID-19 Pandemic: Canadian Dietitian Perspectives
Notice bibliographique
Résumé
The coronavirus disease-2019 (COVID-19) is an infectious disease that causes a variety of symptoms, including cough, fatigue, sore throat, and in some cases, impaired taste and smell (1, 2).Each of these symptoms can impact a person's desire and ability to eat, which prevents the body from acquiring the vitamins, minerals, and macronutrients needed to protect itself and recover from illness (3,4).COVID-19 has also restricted access to healthcare appointments, community services, grocery shopping, and social visits with family and friends.Consequently, patients are at increased risk of developing malnutrition (3-5).As part of a larger survey about nutrition care practices as patients leave the hospital or are cared for in primary and community care, we investigated the challenges that Canadian dietitians have experienced while providing care to their patients during the COVID-19 pandemic.COVID-19 survey questions were available via an online platform (QualtricsXM) from April 25-May 31, 2020.Dietitians were asked two questions about COVID-19: i) their perception of nutrition-related challenges for patients returning to the community post-hospital discharge; and ii) how the pandemic had affected their practice.For these questions, the dietitians submitted their qualitative responses via an open comment box.Two hundred and fifty-five dietitians participated in this survey with 23.5% (n= 60) and 16.9% (n= 43) providing responses for COVID-19 questions one and two, respectively.These responses were analyzed using qualitative description with minimal interpretation (6).Decreased access to healthcare professionals and nutrition care services due to limited in-person contact and service cancellations was the most common challenge that dietitians reported for discharged patients.Nutrition counselling, education, and meal delivery programs have been shown to improve energy and protein intake as well as prevent rehospitalization (7-9).Hence, dietitians felt that barriers to accessing these resources could cause or exacerbate nutrition problems since patients would be unable to receive the nutritional supports that they required.Additionally, dietitians reported that many patients were experiencing food insecurity due to decreased income and increased anxiety regarding grocery shopping during the pandemic.This was most evident amongst populations that are at high risk of poor outcomes with COVID-19, such as older adults and individuals with
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,040 | 0,009 |
| Communication savante | 0,011 | 0,005 |
| Science ouverte | 0,005 | 0,010 |
| Intégrité de la recherche | 0,040 | 0,037 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».