Table 1_Obstetric complications and socio-demographic characteristics associated with seve

Erick Justin Mbogoro's case-control study data from 768 women at Mbeya Zonal Referral Hospital, Tanzania, examines factors associated with severe maternal morbidity. The dataset includes 256 cases and 512 controls, with analysis covering age, marital status, education, and place of residence. The study was last updated on 2026-04 10.

Use Cases

• Predicting severe maternal morbidity risk based on socio-demographic factors like age and residence.
• Analyzing the association between specific obstetric complications (e.g., hypertensive disorders) and patient outcomes.
• Training models to identify protective factors against maternal morbidity, such as education level.
• Conducting comparative studies on maternal health care quality using morbidity as a metric.

Strengths

• Includes a specific sample size of 768 women (256 cases, 512 controls).
• Provides key statistical results, including adjusted odds ratios (AOR) and confidence intervals for identified risk factors.
• Reports a specific hospital-based severe maternal morbidity incidence ratio of 75.4 per 1,000 live births.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single hospital in Tanzania, which may limit generalizability.

Provenance

Source

Erick Justin Mbogoro via figshare.

Collection Method

Facility-based unmatched case-control study conducted at Mbeya Zonal Referral Hospital.

Time Range

Study period not specified in the provided description.

Freshness

Last updated 2026-04-10 05:58:21; freshness should be verified.

Geography

Mbeya Zonal Referral Hospital, Tanzania.