Logistic Regression Analysis of Antenatal Care Coverage in West Gojjam Hospitals, 2023

West Gojjam, Ethiopia, public hospitals provided the setting for this dataset of 680 pregnant women in 2023. It contains results from bi-variable and multivariable logistic regression analyses examining factors influencing effective antenatal care coverage. Bekalu Endalew authored this dataset, which is shared under a CC-BY-4.0 license.

Use Cases

• Identify key predictors of antenatal care utilization based on regression coefficients.
• Model the probability of effective healthcare coverage based on demographic or socioeconomic variables.
• Compare the explanatory power of individual factors (bi-variable) versus combined models (multivariable).
• Benchmark maternal health service coverage in a specific Ethiopian region for policy analysis.

Strengths

• Dataset is focused on a specific geographic region and year, providing clear context.
• Includes results from both bi-variable and multivariable regression analyses.
• Sample size of 680 observations is explicitly stated.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 9.5 KB file size suggests a very limited scope, likely containing summary statistics rather than raw survey data.

Provenance

Source

figshare, author Bekalu Endalew.

Collection Method

Likely derived from a survey or hospital records, analyzed using logistic regression.

Time Range

2023

Freshness

Last updated 2026-04-21 17:33:03; freshness should be verified.

Geography

West Gojjam, Ethiopia (specifically public hospitals in this zone).