Anneka Hooft's prospective observational study characterizes post-discharge mortality in children aged 0-60 months admitted for infection in Rwanda. Data were collected at point of care using encrypted tablets and a REDCap database hosted at BC Children’s Hospital Research Institute, with follow-up contacts at 2, 4, and 6 months. The study aimed to externally validate Smart Discharge prediction algorithms developed in Uganda.
Use Cases
- Validate post-discharge mortality prediction algorithms based on clinical, social, and demographic variables.
- Analyze risk factors for pediatric readmission based on follow-up health-seeking and readmission details.
- Study associations between anthropometry z-scores and adverse outcomes based on WHO cutoff calculations.
- Investigate the impact of distance to hospital on health outcomes using calculated latitude/longitude distances.
Strengths
- Data includes longitudinal follow-up at 2, 4, and 6 months post-discharge to determine vital status.
- Variables cover clinical, social, and demographic domains, with derived metrics like anthropometry z-scores and BCS scores.
- Ethics approvals were obtained from three institutional review boards (UCSF, UBC, University of Kigali).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Data freshness should be verified as the last metadata update is dated 2026-05-30.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Prospective observational data collection at point of care using encrypted tablets and a REDCap database.
- Freshness
- Last updated 2026-05-30 04:10:52; freshness should be verified.
- Geography
- Rwanda