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Enregistrement W611655616

Reading aids for adults with low vision (review)

2013· article· en· W611655616 sur OpenAlexaboutno aff
Gianni Virgili, Ruthy Acosta, Lori L. Grover, Sharon A Bentley, Giovanni Giacomelli

Notice bibliographique

RevueDeakin Research Online (Deakin University) · 2013
Typearticle
Langueen
DomainePsychology
ThématiqueErgonomics and Musculoskeletal Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésReading (process)MedicinePopulationOptometry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

What is the aim of this review? The aim of this Cochrane Review was to compare different reading aids for people with low vision. Cochrane Review authors collected and analysed all relevant studies to answer this question and found 13 studies. Key messages There is insufficient evidence supporting the use of a specific type of electronic or optical reading aid. The review suggests that reading speeds improve with the use of stand‐mounted electronic devices. There is little evidence for a difference between head‐mounted or portable electronic devices versus optical or other electronic devices, although technology may have improved since these studies took place. There is no evidence to support the use of filters or prism spectacles. What was studied in the review? The number of people with low vision is increasing with the ageing population. Magnifying optical and electronic aids are commonly prescribed to help people maintain the ability to read when their vision starts to fade. Cochrane authors reviewed the evidence for the effect of reading aids on reading ability in people with low vision to find out whether there are differences in reading performance using conventional optical devices, such as hand‐held or stand‐based microscopic magnifiers, as compared to electronic devices such as stand‐based, closed circuit television and hand‐held electronic magnifiers. Cochrane Review authors assessed how certain the evidence was for each review finding. They looked for factors that can make the evidence less certain, such as problems with the way the studies were done, very small studies, and inconsistent findings across studies. They also looked for factors that can make the evidence more certain, including very large effects. They graded each finding as being of very low, low, moderate or high certainty. What are the main results of the review? Cochrane Review authors found 13 relevant studies. Seven were from the USA, five from the UK and one from Canada. These studies compared the effect of different reading aids on reading performance, mainly reading speed. The participants were adults attending low vision services. Most of the people were affected by macular degeneration, which causes of loss of central vision and is often age‐related. Because most of the studies were small, the results were often imprecise, and it is difficult to know whether they apply to everyone with low vision. The results were as follows. - Reading speed may be faster with electronic devices than with optical magnifiers (moderate‐ and low‐certainty evidence). - Provision of a closed circuit television (CCTV) at an initial rehabilitation consultation may increase reading speeds compared with standard low‐vision aids prescription alone (low‐certainty evidence). - Reading speed with head‐mounted electronic devices showed inconsistent differences compared to optical devices (moderate or low‐certainty evidence). - Reading speeds with a tablet computer compared with stand‐mounted CCTV were similar (low‐certainty evidence). - Addition of an electronic portable device to a preferred optical device did not appear to increase reading speed (low‐certainty evidence). - Coloured filters were no better and possibly worse than a clear filter for reading speed (low‐certainty evidence). - Custom or standard prism spectacles did not appear to convey additional benefit compared with conventional reading spectacles for people with age‐related macular degeneration (low‐certainty evidence).

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,779
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,026
Tête enseignante GPT0,352
Écart entre enseignants0,326 · 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.

Devis d'étudeSans objet
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

Citations9
Publié2013
Routes d'admission1
Résumé présentoui

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