Views of Service Users, Their Family or Carers, and Health Care Professionals on Telerehabilitation for People With Neurological Conditions in Ghana: Qualitative Study
Notice bibliographique
Résumé
BACKGROUND: Up to 50% of people in low- and middle-income countries do not receive the rehabilitation they require. Telerehabilitation has the potential to improve access to neurorehabilitation services especially in low- and middle-income countries. Although there are reports of the barriers and facilitators to telerehabilitation in such settings, almost all are anecdotal. Furthermore, family or carers have a significant influence on the adoption and success of telerehabilitation, but their views have not been reported. OBJECTIVE: This study aimed to investigate the views of service users, their family or carers, and health care professionals (HCPs) on telerehabilitation for people with neurological conditions in Ghana. METHODS: Two focus groups were held at Komfo Anokye Hospital in Kumasi, Ghana: one in person for service users (n=11) and their family or carers (n=9), conducted in the Ghanaian language of Twi, and one hybrid for HCPs (n=18) conducted in English. The mean (SD) age of the service users was 59.8 (8.6) years; 5 users had a stroke and 6 had Parkinson disease. The HCP group consisted of 7 speech and language therapists, 3 physiotherapists, 3 occupational therapists, 3 medical staff, 1 nurse, and 1 industry representative. Focus groups were semi-structured and explored previous experiences of telerehabilitation, perceived benefits and challenges, and solutions to overcome these challenges. Focus groups were audio transcribed, and the service user transcript was translated into English. The resulting transcripts were analyzed using thematic analysis. RESULTS: Overall, participants were positive about the role of telerehabilitation but recommended hybrid delivery, with in-person rehabilitation in the early stages and telerehabilitation in the later stages. In relation to telerehabilitation in Ghana, there were 3 main themes: benefits, challenges or barriers, and implementation. Benefits included the convenience and lower cost for service users, the higher dose of therapy possible, and increased access for people in remote areas. However, challenges included lack of a stable internet connection, cost of phones and data packages, and low levels of literacy. Implementation issues included cultural relevance, information governance, and the platform used to deliver telerehabilitation, with most participants being familiar with WhatsApp. CONCLUSIONS: Telerehabilitation has the potential to be a useful method of delivering rehabilitation to people with neurological conditions in Ghana, especially in a hybrid rehabilitation model with telerehabilitation augmenting in-person sessions. However, many people were unaware of telerehabilitation, and challenges such as a reliable internet connection, cultural relevance, and costs need to be addressed. Clinical trials of low-cost telerehabilitation interventions contextualized to the specific user group are required.
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».