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Enregistrement W4399246911 · doi:10.3389/phrs.2024.1606948

Harnessing the Benefits of Telehealth in Long COVID Service Provision

2024· article· en· W4399246911 sur OpenAlexaboutno aff
Naomi C A Whyler, Liz Atkins, Prue Hogg, Julie Metcalfe, Michelle J. L. Scoullar, Emma Tippett

Notice bibliographique

RevuePublic health reviews · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueTelemedicine and Telehealth Implementation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTelehealthCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakBusinessSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)TelemedicineService (business)MedicineVirologyMarketingHealth careEconomic growthPathologyEconomicsOutbreak

Résumé

récupéré en direct d'OpenAlex

Re:Luo S, Zheng Z, Bird SR, Plebanski M, Figueiredo B, Jessup R, Stelmach W, Robinson JA, Xenos S, Olasoji M, Wan DWL, Sheahan J and Itsiopoulos C (2023) An Overview of Long COVID Support Services in Australia and International Clinical Guidelines, With a Proposed Care Model in a Global Context. Public Health Rev 44: 1606084.We commend Luo et al. for their in-depth analysis of the current available services in Australia to support people with Long COVID1. This devastating illness affects over 10% of those after acute COVID-19 infection and is projected to affect over 200 million people in the next decade worldwide2. Many with Long COVID are severely impacted by physical symptoms to the extent that simple activities of daily living are extremely fatiguing, and the demands of travel to a healthcare appointment can trigger episodes of severe post-exertional malaise which has been found to affect over 80% of those with Long COVID3. Provision of healthcare should be available in a format that does not worsen symptoms nor impact upon them financially.As Luo et al. describe, options for Long COVID specialist care in Australia are limited, particularly for people in rural or remote locations1. We note, however, that their summary did not review the option of telehealth as a model of care for Long COVID. Telehealth encompasses provision of medical assessment, diagnosis, treatment, and education through the use of technology, including video and telephone-based consultation4. Our Australian-based clinic, which was not included in Luo et al.’s review, uses a telehealth model of care and to date has provided care to over 500 people with Long COVID (including children) from all states and territories, including the Northern Territory, which has no other dedicated Long COVID services1. Of our cohort, 22% live outside of major metropolitan centres as measured by the Modified Monash model5 (Figure 1).Figure 1. Geographical spread of cohort by Modified Monash Model5 classification (unpublished data)(Footnote 1).This model of care provides an option for patients with physical6 or other disability and geographical limitations7 to equitably access healthcare without physical detriment or disproportionate financial penalty due to travel costs. The need, strengths, safety and limitations of telehealth services to provide rapid and accessible care has been highlighted throughout the COVID-19 pandemic. Systemic changes within the Australian health system provided funding of a wide-scale shift in the modality of care delivery4, and which have been trialled elsewhere including Canada8.The use of telehealth, where service is otherwise limited, provides a real option for many patients to receive care they would not otherwise be able to access6, and the inability to undertake a physical examination can often be mitigated through close collaboration with the person’s primary care provider. This approach has been successfully demonstrated in several settings including with rehabilitation9, an important facet of long COVID care. Furthermore, formal and informal consumer feedback from our clinic indicates that this model of care is desired by many people with Long COVID, in keeping with published literature10. Luo et al. highlight the importance of consumer engagement and empowerment, and including consumers in discussion about models of care is of paramount importance to be able to provide optimal quality care.Provision of care for Long COVID must be equitable, should not exacerbate symptoms, and should be designed with consumer needs and opinions at its heart. The benefits of telehealth are numerous for those with Long COVID and should be embedded within systemic strategies to enhance care.Yours sincerely,[Authors]

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)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,955
Score d'incertitude au seuil0,425

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,155
Tête enseignante GPT0,440
Écart entre enseignants0,285 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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