WHO 10-Group Classification: C-Section Patterns and Perceptions in Pakistan

Maria Atif's mixed-method study provides evidence on patterns and drivers of Cesarean sections in Pakistan. The dataset includes quantitative data from 605 women who underwent C-Sections in public, private, or semi-private facilities and qualitative insights from stakeholder perceptions. The data was last updated on 2026-05-14 and is shared under a CC-BY-4.0 license.

Use Cases

• Analyze the distribution of C-Section cases across different healthcare facility types (public, private, semi-private) mentioned in the description.
• Investigate the primary reasons for C-Sections, such as prior history, based on the quantitative findings.
• Explore stakeholder perceptions regarding drivers of C-Section practices and non-clinical interventions from the qualitative data.
• Model the contribution of specific patient groups (e.g., Group 5: multiparous women with a previous C-section) to the overall C-Section rate.

Strengths

• Includes data from 605 women across three types of healthcare facilities.
• Combines quantitative survey data with qualitative stakeholder perceptions.
• Focuses on a specific geographic context (Pakistan) and a defined clinical procedure (C-Sections).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Maria Atif

Collection Method

Mixed-method study including a survey of 605 women and qualitative stakeholder interviews.

Freshness

Last updated 2026-05-14 17:44:53; freshness should be verified.

Geography

Pakistan