Challenges of Type 2 Diabetes Mellitus Management From the Perspective of Patients: Conventional Content Analysis
Notice bibliographique
Résumé
BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) face significant challenges in the treatment process, which can have a negative impact on disease management. Proper management of the disease can reduce symptoms and complications, improve glycemic indices, and reduce mortality and readmission. OBJECTIVE: Given the influential role of patients in prevention and self-care, this study was conducted to explore the challenges of diabetes management from the perspective of patients. METHODS: Two rounds of focus group discussions with T2DM patients were conducted. The principal investigator of the study and a research assistant compiled a list of volunteer patients with names and contact information and selected participants based on their medical information. Participants were chosen via a purposive sampling technique. The questions were designed to encourage patients to share their views on how the treatment team communicates and participates in treatment, how they are trained, and the health care system. The discussion continued until data saturation. During 2 rounds of focus group discussions, the voices of the participants were recorded by 2 voice recorders, and one of the team members was a transcriber. After discussion, participant views were transcribed, and common issues were identified, sorted, and reported as categories and subcategories. RESULTS: According to the conventional content analysis, 88 primary codes were extracted from the detailed and in-depth description of the participants. The codes were summarized after repeated readings and classified based on their similarities and semantic relevance. Through analysis and comparison, 4 categories and 7 subcategories were identified: communication challenges (poor medical staff communication, lack of psychological support), challenges to participation in treatment (lack of patient participation), educational challenges (training program bugs, inadequate training), and challenges of the health care system (inefficiency of the care system, caregiver inefficiency). CONCLUSIONS: This study showed that the treatment team members should pay more attention to the challenges of care and treatment from the perspective of patients with T2DM. Therefore, recommendations for future policies to overcome these obstacles include establishing a multidisciplinary health care team; using trained health care workers to provide organized treatment and care services; holding individual counseling sessions with patients in need of counseling; and providing counseling services, involving patients in the treatment and self-care process, and designing a comprehensive diabetes education program with an emphasis on education. Necessary information should be provided to the patients, and effective communicate should address patient concerns.
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 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 | 0,004 | 0,002 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».