Barriers and facilitators to diagnosing and managing apathy in Parkinson’s disease: a qualitative study
Notice bibliographique
Résumé
BACKGROUND: Apathy is a prominent non-motor symptom in Parkinson's disease (PD). People with apathy show a lack of emotion, passion, and motivation. Between 17 and 70% of persons with PD have apathy; the extreme heterogeneity in these estimates is due to limited heterogeneous knowledge concerning how to diagnose PD. The lack of a widely utilized diagnostic process limits understandings on how to treat and manage apathy in PD. A scoping review of apathy in PD identified only one qualitative study investigating this symptom. It was our objective to assess perceived barriers and facilitators to diagnosing, treating, and managing apathy in PD, as described by key stakeholders. METHODS: This research applied qualitative methodology, utilizing focus groups and interviews with health care practitioners (HCPs), persons with PD, and caregivers. Evidence gathered from a scoping review on apathy in PD informed discussions that took place with participants. Data collection and analysis was conducted using framework analysis, applying the Theoretical Domains Framework and Behaviour Change Wheel. RESULTS: Eleven HCPs and five persons with PD/caregivers participated. Themes included interdisciplinary teams and communication with family to facilitate diagnosis and treatment, and the use of education and increased awareness of apathy to facilitate management. Themes surrounding barriers included lack of initiative and motivation to maintain treatment plans, and a lack of evidence for apathy specific interventions. While a key barrier identified was the lack of information HCPs have access to, persons with PD and caregivers would prefer to receive a diagnosis of apathy even with limited management methods. Thus, education and awareness were noted as two of the most important facilitators, overall. CONCLUSION: These findings suggest that diagnosing, treating, and managing apathy in PD requires interdisciplinary teams, that include family and caregivers. We identified that where HCPs perceive lack of knowledge as a barrier to diagnosis, persons with PD and caregivers find being given a diagnosis facilitates understanding. These findings highlight the importance of qualitative research involving persons with PD and apathy, caregivers, and HCPs who aid in management of this symptom. Barriers reported suggest future research must aim to identify apathy specific treatments, both pharmacologic and non-pharmacologic.
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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 | 0,000 | 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 ».