Patient Activation Survey for Type 2 Diabetes in Malaysia, 2024-2025

450 patient records from a cross-sectional study at Kepala Batas Health Clinic in Penang, Malaysia, collected between December 2024 and April 2025. The dataset includes sociodemographic and clinical characteristics, patient activation scores, and perceptions of care. It was authored by Muzlifa Mohamed Yusoff and shared under a CC-BY-4.0 license.

Use Cases

• Predict patient activation levels based on sociodemographic and clinical characteristics mentioned in the description.
• Analyze the relationship between HbA1c levels and patient activation scores.
• Identify demographic factors (like age and gender) associated with higher or lower patient activation.
• Study the impact of perceived autonomy support from healthcare providers on patient activation.

Strengths

• 450 patient records with a high response rate of 85.3%.
• Includes multiple validated survey instruments: Patient Activation Measure, Patient Assessment of Chronic Illness Care, and Health Care Climate Questionnaire.
• Specific geographic and temporal coverage: Kepala Batas Health Clinic, Penang, Malaysia, from December 2024 to April 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a specific patient population from a single primary care clinic in northern Malaysia, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Cross-sectional study using a self-administered questionnaire with systematic sampling.

Time Range

December 2024 to April 2025

Freshness

Last updated 2026-05-11 17:23:04.

Geography

Kepala Batas Health Clinic, Penang, Malaysia