A conditional cash transfer and behaviour change intervention to improve birthweight and p

90,732 mother-infant pairs from Rajasthan, India, are summarized in 44 monthly aggregates tracking birth outcomes and intervention participation. The dataset includes monthly counts of births, cash transfers, home visits, and measures for low birth weight proportion, mean birth weight, and pregnancy weight gain. It was created by Tanya Marchant for an interrupted time-series analysis and last updated in June 2026.

Use Cases

• Conducting interrupted time-series analysis based on the 44 monthly summary points.
• Evaluating the relationship between cash transfers and birthweight based on the `n_pay1` and `birth_wgt` variables.
• Assessing the impact of home visits on pregnancy weight gain based on the `n_vis1`, `n_vis2`, `n_vis3`, and `pref_wgt_gain` measures.
• Analyzing trends in low birth weight prevalence over time based on the `p_std_lbw` proportion.

Strengths

• Data covers a large cohort of 90,732 mother-infant pairs.
• Provides 44 months of longitudinal, aggregated data suitable for time-series analysis.
• Includes multiple intervention metrics (cash transfers, three levels of home visits) and outcome measures (birth weight, weight gain).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is aggregated to monthly summaries, limiting individual-level analysis.

Provenance

Source

figshare, author Tanya Marchant.

Collection Method

Data likely collected as part of a public health intervention study, aggregated into monthly summaries.

Time Range

Covers 44 months; specific dates are not provided.

Freshness

Last updated 2026-06-03 07:01:25; freshness should be verified.

Geography

Rajasthan, India.