Barriers to Optimal Control of Type 2 Diabetes in Malaysian Malay Patients
Notice bibliographique
Résumé
There are a growing number of people diagnosed with diabetes. But, with the growing number of people diagnosed withdiabetes, Malaysia is not spared of this phenomenon, as prevalence stands at 14.9% of adult population. Adequate bloodglucose control is vital in diabetes management to prevent complications. Even so there is a lack of diabetic controlamong people with diabetes in Malaysia and we need to understand why this is. This study set out to explore theperspectives and experiences of Malay patients in managing Type 2 diabetes as a chronic illness and providerecommendations that aim to enhance adherence to treatment and help patients to improve their self-management skills.In-depth interviews were carried out on a purposeful sample of patients and their health care professional (HCPs).Interviews were recorded, transcribed and audiotapes were analysed using NVivo software to identify emerging themesand code according to categories. Interviews were conducted in an Endocrinology clinic in Malaysia with 18 Malaypatients (15-75 years, 9 males and 9 females) and 13 HCPs. Results indicated that themes that emerged from interviewswith the patients included problems with integrating the treatment regimen and difficulty developing coping skills toachieve the desired blood glucose level. Most patients lacked understanding of diabetes and management of diabetes,nature of diabetes, awareness of having diabetes, diabetic education, knowledge of diabetes, duration of illness,patients’ understanding of diabetes, physical effects of treatment, severity of symptoms and disease. Patients believedthat they needed to integrate many treatment requirements such as diet, medications, blood glucose monitoring andexercise into their daily routine. However, barriers to achieving good control of diabetes were found to be theconstraints in their ability to control diabetes. Education and knowledge related to diabetes that influencedunderstanding of the disease were also reasons for non-adherence to treatment regimen. Their beliefs and ability tominimise these barriers shaped their attitudes towards disease management. Patients were willing to discuss theirproblems about self-managing diabetes if some of these barriers were addressed during consultations. It can beconcluded that more positive approaches are needed in self-management of diabetes and health care professionalsinvolved in the management of diabetes need to understand their patients’ beliefs about their diabetes and constraintsfaced by their patients to promote more awareness and to foster greater control of diabetes and improve healthoutcomes.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».