Data Completeness and Concordance in the FeverApp Registry: Comparative Study

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.