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P283 Hydrotherapy and aquatic therapy provision in a post-COVID NHS

2022· article· en· W4224312744 on OpenAlexaff
Jill Hamilton, Claire Jeffries, Simon Whalley, Dale Webb

Bibliographic record

VenueLara D. Veeken · 2022
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsArthritis Society
Fundersnot available
KeywordsHydrotherapyMedicineExcellencePandemicNiceCoronavirus disease 2019 (COVID-19)Physical therapyIntensive care medicineAlternative medicine

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.396
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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