Table 2_Obstetric complications and socio-demographic characteristics associated with seve

768 women (256 cases and 512 controls) were studied in a facility-based case-control analysis at Mbeya Zonal Referral Hospital in Tanzania. The dataset, created by Erick Justin Mbogoro and last updated in April 2026, examines factors associated with severe maternal morbidity, including hypertensive disorders, hemorrhage, age, marital status, education, and residence. The hospital-based severe maternal morbidity incidence ratio was 75.4 per 1,000 live births.

Use Cases

• Predicting severe maternal morbidity risk based on sociodemographic factors like age, marital status, and education level.
• Identifying associations between specific obstetric complications (e.g., hypertensive or haemorrhagic disorders) and severe outcomes.
• Analyzing geographic disparities in maternal health outcomes based on rural vs. urban residence data.
• Training models to assess the protective effect of higher education levels against maternal morbidity.

Strengths

• Includes data from 768 women (256 cases, 512 controls), providing a matched case-control structure.
• Reports specific Adjusted Odds Ratios (AORs) and confidence intervals for key risk factors.
• Quantifies the incidence ratio (75.4 per 1,000 live births) and the prevalence of specific morbid conditions (e.g., 54.3% hypertensive disorders).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data table is unknown, which may limit suitability assessment.
• Data is from a single referral hospital in Tanzania, which may limit generalizability to other populations.

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 05:58:24; freshness should be verified.

Geography

Mbeya Zonal Referral Hospital, Tanzania.