Perception of People Diagnosed With Fibromyalgia About Information and Communication Technologies for Chronic Pain Management: Cross-Sectional Survey Study
Notice bibliographique
Résumé
BACKGROUND: Chronic pain is prevalent in our society, with conditions such as fibromyalgia being notably widespread. The gold standard for aiding individuals dealing with chronic pain involves interdisciplinary approaches rooted in a biopsychosocial perspective. Regrettably, access to such care is difficult for most of the people in need. Information and communication technologies (ICTs) have been used as a way of overcoming access barriers (among other advantages). OBJECTIVE: This study addressed the little explored area of how individuals with fibromyalgia use and perceive different types of ICTs for pain management. METHODS: A cross-sectional study was conducted using an online survey. This survey was created to assess the use of different ICT tools for pain management, satisfaction with the tools used, and perceived advantages and disadvantages. In addition, data collection encompassed sociodemographic variables and pain-related variables, pain intensity, the impact of pain on daily life activities, and fear of movement/injury beliefs. In total, 265 individuals diagnosed with fibromyalgia completed the survey. RESULTS: Only 2 (0.75%) participants reported not having used any ICT tool for pain management. Among those who used ICT tools, an average of 10.94 (SD 4.48) of 14 different tools were used, with the most used options being instant messaging apps, websites dedicated to managing fibromyalgia, phone calls with health professionals, and online multimedia resources. Satisfaction rates were relatively modest (mean 2.09, SD 0.38) on a scale from 0 to 5, with instant messaging apps, phone calls with health professionals, fibromyalgia management websites, and online multimedia resources being the ones with higher satisfaction. Participants appreciated the ability to receive treatment from home, access to specialized treatment, and using ICTs as a supplement to in-person interventions. However, they also highlighted drawbacks, such as a lack of close contact with health professionals, difficulty expressing emotions, and a lack of knowledge or resources to use ICTs. The use of ICTs was influenced by age and educational background. Additionally, there was a negative correlation between satisfaction with ICT tools and fear of movement/injury. CONCLUSIONS: People with fibromyalgia are prone to using ICTs for pain management, especially those tools that allow them to be in contact with health professionals and have access to online resources. However, there is still a need to improve ICT tools since satisfaction ratings are modest. Moreover, strategies aimed at older people, those with lower levels of education, and those with higher levels of fear of movement/injury can be useful to potentiate the use of ICTs among them.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».