The IMPACT Survey: The Humanistic Impact of Caring for an Individual with Osteogenesis Imperfecta
Notice bibliographique
Résumé
The IMPACT Survey (“IMPACT”) investigated the humanistic, clinical, and economic impact of osteogenesis imperfecta (OI) on affected individuals, caregivers, and the broader community. Prior publications reported the methodology, initial findings, and economic and humanistic impacts on adults with OI. Here, data is presented on the humanistic impact of OI on caregivers to explore how caring for an individual with OI impacts their quality of life (QoL), and any drivers of impact. We hypothesise that caring for an individual with OI will impact the QoL of caregivers. IMPACT, fielded July through September 2021 in eight languages, targeted adults and adolescents with OI, close relatives, and caregivers with or without OI. The survey covered demographics, socioeconomic factors, clinical characteristics, treatment patterns, QoL, and health economics. The impact of caring for an individual with OI was measured across QoL and worry domains. We performed descriptive analyses of the QoL of caregivers without OI and exploratory regression analyses to identify independent associations between caregiver and care recipient characteristics (“predictors”), and their QoL impact on caregivers. Of 528 caregivers without OI with one care recipient, across 10 areas and three domains (career and finances, social and relationships, and mental and physical well-being), 58–83% reported that caring for an individual with OI negatively impacted their QoL; 80% and 83% reported impacted mental health and time for leisure activities, respectively. Predictors of QoL impact included caregiver age, care recipient OI severity, age, and clinical signs, symptoms and events (SSEs). Additionally, 36–96% worried about their care recipients’ future lives, medication access, and transition to adult care. Our results suggest that caring for individuals with OI might have considerable impacts on QoL and worries. The level of impact may be predicted by caregiver age and care recipient OI severity, age, and clinical SSEs. The IMPACT Survey looked at how osteogenesis imperfecta, a rare bone condition also known as brittle bone disease, affects people living with the condition and their caregivers. This report presents data on how caring for someone with osteogenesis imperfecta affects caregivers’ quality of life. The Survey was done in 2021 and was open to caregivers (both with and without osteogenesis imperfecta), as well as people with osteogenesis imperfecta. It asked about health, daily life, treatments, emotional well-being, and caregiving costs. It included 528 caregivers who do not have osteogenesis imperfecta and who care for one person with the condition. Most caregivers (between 58% and 83%) said that caring for someone with osteogenesis imperfecta negatively affected their lives. They reported effects on their mental health, free time, work, social life, and finances. Many also said that they were very worried, especially about the future of their care recipients. For example, they were concerned about accessing medication and moving from child to adult healthcare. Some factors, like the caregiver’s age and the care recipient’s osteogenesis imperfecta severity, were linked to how much the caregiver’s life was affected. This study shows that caring for someone with osteogenesis imperfecta can have a big impact on the caregiver’s life—especially their mental health and personal time.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».