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Data Completeness and Concordance in the FeverApp Registry: Comparative Study.

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Summary

The FeverApp mobile registry offers higher documentation and precision for pediatric fever data compared to traditional office records. This ecological momentary assessment (EMA) method can supplement ambulatory care research, especially during pandemics.

Keywords:
completenessconcordancedata qualityecological momentary assessmentregistry

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Area of Science:

  • Pediatric Research
  • Digital Health
  • Data Quality Assessment

Background:

  • The FeverApp registry utilizes ecological momentary assessment (EMA) for collecting parental data on pediatric fever.
  • This mobile application serves as both an educational tool for fever management and a digital fever diary.

Purpose of the Study:

  • To evaluate the data quality of the EMA-based FeverApp registry.
  • To assess the completeness and concordance of FeverApp data from a multilevel perspective.

Main Methods:

  • Compared FeverApp entries with structured descriptions from healthcare professionals as reference data.
  • Analyzed data quality indicators: completeness (data submission extent) and concordance (value correspondence with reference).
  • Assessed sociodemographic data, fever episodes, maximum temperature, antipyretic/antibiotic intake, and physician visits.

Main Results:

  • 1012 children were included; FeverApp registered 1452 fever episodes versus 953 in reference records.
  • Completeness varied by variable (11.5%-65% in FeverApp, 7.6%-42.6% in office records).
  • Concordance rates varied: 90.2% for antibiotic use, 66.6% for antipyretic use, 61.7% for physician visits, 16% for maximum temperature.

Conclusions:

  • Both data sources provided partial information; completeness and concordance varied by data type.
  • FeverApp demonstrated superior documentation and precision rates compared to professional records.
  • EMA, via FeverApp, can be a valuable supplement for pediatric research in ambulatory care, particularly during health crises.