Supplementary file 1_Predictors of delay seeking delivery services at labor onset among pr

Singida region in Tanzania is the focus of this analytical cross-sectional study of 384 pregnant and postpartum women. The data, collected via validated questionnaires and checklists, examines delays in seeking facility-based childbirth care. Edward Shartiel Nyandala authored this study, which was last updated on 2026-05-25.

Use Cases

• Predicting Type 1 decision-making delays based on sociodemographic characteristics mentioned in the description
• Modeling Type 2 travel time delays influenced by residence and religion variables described in the study
• Analyzing Type 3 facility care delays associated with religious beliefs as indicated in the results

Strengths

• Data collection used a validated questionnaire and checklist, suggesting structured methodology
• Analysis performed using SPSS version 23 with descriptive and inferential statistics (Chi-squared, binary logistic regression)
• Sample size of 384 participants provides a basis for statistical analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is limited to a single region (Singida) and may not be generalizable

Provenance

Source

Edward Shartiel Nyandala via figshare

Collection Method

Hospital-based analytical cross-sectional study using questionnaires and checklists

Freshness

Last updated 2026-05-25 06:04:50; freshness should be verified

Geography

Singida region, Tanzania