Survey Data on Antibiotic Resistance Drivers in Bangladesh

254 survey responses from Bangladesh were analyzed using Structural Equation Modeling (SEM) with Smart-PLS 4.0. The study, authored by Abdullah Al Rakib and last updated in 2026, investigates the influence of economic pressures, diagnostic uncertainty, and cultural beliefs on antibiotic misuse. It is grounded in the Health Belief Model and Ecological Systems Theory.

Use Cases

• Modeling the relationship between economic incentives and antibiotic overuse based on survey constructs.
• Analyzing the impact of healthcare infrastructure and diagnostic uncertainty on prescribing behaviors.
• Testing the application of the Health Belief Model and Ecological Systems Theory in explaining sociocultural influences on antibiotic resistance.

Strengths

• Data was analyzed using SEM with Smart-PLS 4.0, which is suitable for non-normal data.
• The study is grounded in established theoretical frameworks: the Health Belief Model and Ecological Systems Theory.
• The dataset is small (5.5 KB), facilitating quick download and initial exploration.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data reflects a specific cross-sectional sample from Bangladesh; generalizability to other contexts may be limited.

Provenance

Source

Primary survey data collected by the author.

Collection Method

Cross-sectional empirical study analyzed with Structural Equation Modeling (SEM).

Freshness

Last updated 2026-05-18 17:40:46; freshness should be verified.

Geography

Bangladesh