Myanmar Health Information Privacy Survey of 424 Participants

March to May 2024 survey of 424 participants assessed privacy concerns regarding personal health information in Myanmar. The dataset contains responses to a 21-item psychometric scale measuring six privacy domains. Researcher Khaing Zin Zin Htwe collected the data via online channels and two private clinics.

Use Cases

• Predict high privacy concern levels from participant age, self-reported health status, and health concern scores using logistic regression.
• Analyze mean scores and standard deviations across the six privacy domains (Collection, Errors, Unauthorized Secondary Use, Improper Access, Control, Awareness) to identify areas of greatest public worry.
• Validate the factor structure of the 21-item privacy scale using confirmatory factor analysis on the survey responses.
• Model the adjusted odds ratios (aOR) for factors like age group (18-24 vs 45+) and good health status associated with high privacy concerns.

Strengths

• Data from 424 participants provides a sample for statistical analysis.
• Uses a validated 21-item scale measuring six distinct privacy domains.
• Survey conducted in 2024, providing recent insights into a rapidly evolving topic.

Limitations

• Small sample size of 424 limits statistical power for subgroup analyses.
• Sampling via online and private clinics introduces urban and educated bias, limiting generalizability to rural or less-educated populations.
• Dataset is very small at 9.5 KB, indicating limited scope and likely few columns beyond core survey responses.

Provenance

Source

Researcher Khaing Zin Zin Htwe via figshare.

Collection Method

Cross-sectional survey using online recruitment and two private clinics.

Time Range

March to May 2024.

Freshness

Last updated March 2026, with data collected in 2024.

Geography

Myanmar.