MétaCan
Menu
Retour à la cohorte
Enregistrement W2582314

Head-Up : co-designing novel neck orthosis for neck weakness in MND

2012· article· en· W2582314 sur OpenAlexaboutno aff
Joe Langley, Heath Reed, Andrew Stanton, Chris McDermott, Nicola M. Heron, Zoë Clarke, Simon Judge, Pamela J. Shaw

Notice bibliographique

RevueMinerva Medica · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueParkinson's Disease and Spinal Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeck painPhysical medicine and rehabilitationWeaknessProcess (computing)TorsoPhysical therapyQuality of life (healthcare)EngineeringMedicineComputer scienceNursingSurgery
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction : People with Motor Neurone Disease (MND) often develop weak neck muscles, leading to pain, restricted movement and problems with swallowing, breathing and communication. Ideally, a neck collar would help alleviate these. However, neck collars currently available are of limited use for people with MND and often rejected by patients. The same is true for patients with neck weakness due to other conditions. The Head-Up project is a 2 year study funded by the National Institute for Health Research's Invention for Innovation, or i4i, programme with a budget of £400k. Its principal aim is to develop a novel neck orthosis for neck weakness that supports whilst allowing freedom to move without negatively impacting quality of life. The research is a collaboration between clinicians, engineers, creative designers, patients and carer who will be working closely together is a co-design process. Manufacturers will be brought into this process at a later date. Ethical approval has been granted where necessary for all participatory elements. Methods The co-design process will inherently elicit subjective views. As such, prior to starting this workpackage, it was considered necessary to create a measure for this subjectivity and to give the design team a greater empathetic understanding of the inadequacies of current provision for this user group. This has been achieved by a combined clinical comfort assessment and engineering simulation. An engineering simulation of the head, neck and upper torso has been developed using Finite Element Analysis. This has been called the Neck Assessment Tool (NAT). Real body geometry was obtained via a 3D laser scan. The neck has been modelled without any structural integrity such that the head will drop without support. The body model has been meshed and constrained to represent this scenario. The geometry of different neck collar models were created in separate files and meshed. Individually they are imported into the body model, appropriate contact conditions applied and the model is processed. Each model tells the researchers where there is contact between body and collar and, relatively, the pressure of that contact. A clinical comfort assessment pilot study has been conducted using the design team members. This is based on location mapping from the McGill pain questionnaire and a Visual Analogue Scale. 5 different neck collars were identified based on common usage and distinct design differences. The members of the research team wore each collar for a day with recovery periods between. During each test period the participants recorded locations of pain/discomfort and perceptions of relative associated scales. They recorded other data relating to emotional reactions caused by the collars, impact on specific Activities of Daily Living (ADL's) and aesthetic considerations. Results The NAT has been conducted on 2 collars and the comfort assessment on 5, 2 of which are those tested in NAT. Comparisons between the comfort assessment and NAT demonstrate acceptable correlation, validating the simulation. The comfort assessment participant reporting forms have been refined and recruitment is under way to roll out to a wider population of health volunteers and use with MND volunteers to report about experiences of their specific collars as and when used. The design team reported significant differences in their perceptions of neck collars before and after the comfort assessment that will positively impact the co-design process. References 1. Ambrogio N et al, 'A Comparison of Three Types of Neck Support in Fibromyalgia Patients', Arthritis Care and Research (1998), v11, n5, pp 405-410 2. Bowen SJ, Chamberlain PM, 'Engaging the Ageing: Designing Artefacts to Provoke Dialogue', Designing Inclusive Futures (2008) Part I, 35-44, DOI: 10.1007/978-1-84800-211-1_4 3. Carlsson AM, 'Assessment of chronic pain. I. Aspects of the reliability and validity of the visual analogue scale', Pain (1983) v16, n1, pp 87–101 4. Escalante A, Lichtenstein MJ, Lawrence VA, Roberson M, Hazuda HP, ' Where does it hurt? Stability of recordings of pain location using the McGill Pain Map', The Journal of Rheumatology (1996) v23, n10, pp 1788-93 5. Huges TJR, 'The Finite Element Method: Linear Static and Dynamic Finite Element Analysis', Inform (2000), v682, n2, p 682, Publisher: Dover Publications, ISSN: 00457825, ISBN: 0486411818 6. Latimer N, Dixon S, Mcdermott C, Shaw P, McCarthy A, Tindale W, Heron N, 'Modelling the cost effectiveness of potential new neck collar for patients with motor neurone disease', http://www.sheffield.ac.uk/scharr/sections/heds/dps-2011 7. Miller RG et al, ' Practice Parameter update: The care of the patient with amyotrophic lateral sclerosis: Multidisciplinary care, symptom management and cognitive/behavioural impairment(an evidence based review)', Neurology (2009), v73, pp 1218-1225 8. Motor Neurone Disease Association, 'Head Supports', www.mndassociation.org/documents.rm?id=28 9. Thumbikat P, Bailey C and Datta D, 'Orthoses for neck control', ACNR (2006) v6, pp 18-19 10. Qing Hang Zhanga, Ee Chon Teoa, Hong Wan Nga, Vee Sin Lee, 'Finite element analysis of moment-rotation relationships for human cervical spine', Journal of Biomechanics (2006), v39, n1, pp1 89–193

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,268
Score d'incertitude au seuil0,857

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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 Opus0,051
Tête enseignante GPT0,349
Écart entre enseignants0,298 · 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'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

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueMinerva MedicaMême sujetParkinson's Disease and Spinal DisordersTravaux en français237 207