P283 Hydrotherapy and aquatic therapy provision in a post-COVID NHS
Notice bibliographique
Résumé
Abstract Background/Aims Hydrotherapy remains an important part of treatment for a range of rheumatological, musculoskeletal and other conditions. As there is little robust clinical evidence, hydrotherapy is scarcely included in national guidelines, with the exception of the National Institute for Health and Care Excellence (NICE) Guidance for Spondyloarthritis which recommends hydrotherapy as an adjunct therapy. In recent years, hydrotherapy services have often been targeted in cost-saving exercises by commissioners and providers. There was a concern that this would be further exacerbated by the pandemic with pools closing to become storage space and remaining closed beyond this. Methods Via the All Party Parliamentary Group (APPG) for axial spondyloarthritis (axial SpA), we submitted a Freedom of Information Request (FOI) to establish the status of hydrotherapy pools pre- and post-pandemic. The FOI was sent to all NHS trusts in England asking them about the status of their pool before and after COVID, future plans and reasons for any delay in re-opening. Results 90 trusts (69%) responded. 72% of those had an onsite hydrotherapy pool prior to the pandemic, 90% of which were open. 27% of pools had already re-opened and there were plans to re-open 49%. 2% were due to remain permanently shut with 21% unsure of the future of their pool. The most common reasons for delays in pools re-opening were linked to infection prevention control restrictions, including changing area capacity (23%), social distancing and ventilation (38%). The most common reasons for the uncertainty of when they would re-open were changing area capacity (46%), staff to clean (23%), access to pool i.e., still being used for other purposes (30%), social distancing and ventilation (23%). Of those pools that were already open or due to re-open, 93% had a reduced capacity with an average capacity of 37%. This was largely due to changing area capacity (54%), staff to clean (44%), access to the pool (28%), social distancing and ventilation (55%). Of the pools that were open prior to the pandemic, the condition areas which used them included MSK (92%), neurology (74%), physical disability (77%) and children (77%). 8% of users had axial SpA. Conclusion There is a very real threat to NHS hydrotherapy facilities in England. A lack of robust clinical evidence often leaves therapists and patients in limbo, with anecdotal testimony as to the benefits often not being enough to convince of its value. A co-ordinated cross-condition alliance is needed to ensure: clear local pathways are established into hydrotherapy; pools are considered in new build and refurbishments; robust clinical evidence is produced; hydrotherapy is included in national guidelines; tools are available at local level to audit and promote hydrotherapy; local services can become self-funding via community and patient groups. Disclosure J. Hamilton: None. C. Jeffries: None. S. Whalley: None. D. Webb: None.
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 | 0,004 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 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 ».