Measures of movement and mobility used in clinical practice and research: a scoping review
Notice bibliographique
Résumé
ABSTRACT Objective: The first objective of this scoping review was to identify all the tools designed to measure movement or mobility in adults. The second objective was to compare the tools to the conceptual definitions of movement and mobility by mapping them to the International Classification of Functioning, Disability and Health (ICF). Introduction: The concepts of movement and mobility are distinct concepts that are often conflated, and the differences are important to patient care. Movement is a change in the place or position of a part of the body or of the whole body. Mobility is derived from movement and is defined as the ability to move with ease. Researchers and clinicians, including nurses, physiotherapists, and occupational therapists who work with adults and in rehabilitation, need to be confident that they are measuring the outcome of interest. Inclusion criteria: This scoping review considered studies that included participants who are adults, aged 19 and older, with any level of ability or disability. The concepts of interest were tools that measured movement or mobility relative to the human body. Studies were considered regardless of country of origin, health care setting, or sociocultural setting. Methods: CINAHL, Health and Psychosocial Instruments, MEDLINE, and Embase were searched in June 2018 and OpenGrey, Dissertation Abstracts International, and Google Scholar were searched in November 2018. The searches were limited to articles in English, and the date range was from the inception of the database to the current date. Data were extracted from the studies using a custom data extraction tool. Once tools were identified for analysis, they were coded using the table format developed by Cieza and colleagues. Results: There were 702 unique tools identified, with 651 of them available to be coded for the ICF. There were 385 ICF codes used when coding the tools. From these codes, the percentage of codes of the defining attributes of movement and mobility that were covered could be calculated, as well as the percentage of tool items that were linked to the antecedents, consequences, or defining attributes of movement or mobility. Conclusions: Although there are many tools that measure only movement or mobility, there are many that measure a mixture of the defining attributes as well as the antecedents and consequences. The tool name alone should not be considered a guarantee of the concept measured, and tool selection should be done with a critical eye. This study provides a starting point from which clinicians and researchers can find tools that measure the concepts of movement and mobility of interest and importance to their patient population.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,096 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».