Self-care knowledge among type 2 diabetes mellitus patients in UiTM Clinical Training Centre (CTC), Sungai Buloh: a cross-sectional survey
Notice bibliographique
Résumé
Background: Type 2 diabetes mellitus (T2DM) is a complex disease requires continuous medical interventions coupled with patient-driven self-care activities performed outside of clinic setting. Despite the availability of different medicines, less than a quarter of patients in Malaysia achieved good glycaemic control. Therefore, self-care practices among Malaysians with diabetes mellitus urgently need to be explored. Objectives: This study aimed to (1) assess self-care knowledge among individuals with T2DM; (2) explore factors affecting diabetes self-care knowledge; (3) determine relationship between self-care knowledge and glycaemic control; (4) solicit patients’ opinions on difficulties and helpful aspects in managing diabetes. Methods: A cross-sectional survey was conducted for 4 months and a half at UiTM Clinical Training Centre, Sungai Buloh, Malaysia. Using a pre-validated questionnaire, investigators conveniently surveyed patients diagnosed with T2DM who were waiting at the endocrinology clinic and out-patient pharmacy. Total knowledge scores were calculated based on correct responses provided. Data were analysed using IBM SPSS, version 20 with a priori of less than 0.05 considered to be significant. Results: 79 questionnaires were distributed but only 76 respondents completed the survey, with a response rate of 96.2%. The age range of the respondents was 57-61 years old. Most respondents were males (51.3%), Malays (84.2%) and had completed tertiary education (92.4%). The mean duration of respondents diagnosed with T2DM was 11.74 ± 8.04 years. The mean of HbAic from 45 respondents was 7.7 ± 1.67% while the mean of fasting blood glucose from 58 respondents was 8.5 ± 3.03 mmol/L. Majority of the respondents (69.7%) had high diabetes self-care knowledge, significantly associated with the household monthly income (p = 0.018). A significant but weak positive correlation was noticed between knowledge scores and fasting blood glucose (r = 0.278, p = 0.034). Patients expressed that controlling diet was among the toughest yet most helpful aspect in managing diabetes. Conclusions: Several diabetes self-care knowledge gaps were identified from this study despite a large proportion of respondents achieved high knowledge scores. These knowledge weaknesses warrant reinforcement in order to optimize diabetes care among patients with T2DM.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,003 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».