# InfoKids+: A Validation Study of a Pediatric Acuity Risk Stratification Algorithm

**Authors:** Carl A. Starvaggi, Sophie Affentranger, Noelie Lengeler, Johan N. Siebert, Annick Galetto-Lacour, Rainer Tan, Manon Jaboyedoff, Claudia E. Kuehni, Mary-Anne Hartley, Kristina Keitel

PMC · DOI: 10.1016/j.mcpdig.2025.100220 · Mayo Clinic Proceedings: Digital Health · 2025-04-15

## TL;DR

This study evaluated a pediatric triage algorithm called InfoKids+ and found it disagreed significantly with nurse-based triage, highlighting the need for careful validation before use.

## Contribution

The paper presents a prospective validation study of the InfoKids+ algorithm in a real-world pediatric emergency setting.

## Key findings

- InfoKids+ showed only slight agreement with nurse-based triage (κlw=0.08).
- The algorithm overreferred 50% of cases and underreferred 5%.
- 888 cases (45%) were correctly aligned with nurse-based triage.

## Abstract

To prospectively validate InfoKids+, a pediatric acuity electronic risk stratification algorithm (eRSA), against a nurse-based triage standard (nbTS).

We conducted a prospective validation study in a Swiss university hospital pediatric emergency department to assess the performance of a pediatric acuity eRSA, InfoKids+, on the basis of a well-established parental guidance application, InfoKids. Participants completed the eRSA once seated in a consultation booth. We compared the acuity levels from InfoKids+ (urgent, <4 hours; nonurgent, <24 hours; and no emergency, ≥24 hours) against an nbTS. The primary outcome was the level of agreement and rate of alignment between InfoKids+ and the reference standard.

We included 1990 participants from June 3, 2020, through January 31, 2022. InfoKids+ showed a slight level of agreement with the nbTS (κlw=0.08; 95% CI, 0.06-0.10). InfoKids+ triaged 1762 (89%) cases as urgent (<4 hours), 106 (5%) as nonurgent (≤24 hours), and 122 (6%) as no emergency (≥24 hours), compared with 810 (41%), 843 (42%), and 337 (17%) triages by the nbTS, respectively (P<.001). InfoKids+ acuity level aligned with the reference standard in 888 (45%) cases, whereas it overreferred and underreferred in 999 (50%) and 103 (5%) cases, respectively (P<.001).

In summary, our study uncovered notable discrepancies between the InfoKids+ algorithmic triage and conventional nurse-based triage. Our results highlight the critical need for rigorous validation of such tools for accuracy and safety before public release to ensure these tools are beneficial and do not inadvertently cause harm or misallocation of resources.

## Full-text entities

- **Diseases:** Symptom (MESH:D012816), gastrointestinal symptoms (MESH:D012817), fracture (MESH:D050723), fracture or injury (MESH:D008337), Musculoskeletal symptoms (MESH:D009140), cut injuries (MESH:D014947), difficulty breathing (MESH:D004417), Chronic illness (MESH:D002908), psychiatric symptoms (MESH:D001523), PED (OMIM:612126), fatigue (MESH:D005221), COVID (MESH:D000086382), fever (MESH:D005334), cough (MESH:D003371), convulsion (MESH:D012640), pain (MESH:D010146)
- **Chemicals:** InfoKids (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12190946/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12190946/full.md

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Source: https://tomesphere.com/paper/PMC12190946