Financial Health of People Living With Dementia and Their Informal Care Partners: Protocol for a Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: There is a growing body of academic literature focusing on the significant financial burdens placed on people living with cancer, but little evidence exists on the impact of rising costs of care in other vulnerable populations. This financial strain, also known as financial toxicity, can impact behavioral, psychosocial, and material domains of life for people diagnosed with chronic conditions and their care partners. New evidence suggests that populations experiencing health disparities, including those with dementia, face limited access to health care, employment discrimination, income inequality, higher burdens of disease, and exacerbating financial toxicity. OBJECTIVE: The three study aims are to (1) adapt a survey to capture financial toxicity in people living with dementia and their care partners; (2) characterize the degree and magnitude of different components of financial toxicity in this population; and (3) empower the voice of this population through imagery and critical reflection on their perceptions and experiences relating to financial toxicity. METHODS: This study uses a mixed methods approach to comprehensively characterize financial toxicity among people living with dementia and their care partners. To address aim 1, we will adapt elements from previously validated and reliable instruments, including the Comprehensive Score for Financial Toxicity and Patient-Reported Outcomes Measurement Information System, to develop a financial toxicity survey specific to dyads of people living with dementia and their care partners. A total of 100 dyads will complete the survey, and data will be analyzed using descriptive statistics and regression models to address aim 2. Aim 3 will be addressed using the process of "photovoice," which is a qualitative, participatory research method that combines photography, verbal narratives, and critical reflection by groups of individuals to capture aspects of their environment and experiences with a certain topic. Quantitative results and qualitative findings will be integrated using a validated, joint display table mixed methods approach called the pillar integration process. RESULTS: This study is ongoing, with quantitative findings and qualitative results anticipated by December 2023. Integrated findings will enhance the understanding of financial toxicity in individuals living with dementia and their care partners by providing a comprehensive baseline assessment. CONCLUSIONS: As one of the first studies on financial toxicity related to dementia care, findings from our mixed methods approach will support the development of new strategies for improving the costs of care. While this work focuses on those living with dementia, this protocol could be replicated for people living with other diseases and serve as a blueprint for future research efforts in this space. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47255.
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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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,000 |
| 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 ».