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Interobserver variation in respiratory signs of severe malaria

M English1, S Murphy, I Mwangi

  • 1Kenya Medical Research Institute, Kilifi.

Insights

Accurate assessment of childhood respiratory distress in malaria-endemic areas is crucial. Video analysis showed good clinician agreement on some signs but highlighted significant interobserver variation, necessitating standardized training.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Clinical Medicine

Background:

  • Respiratory abnormalities are common in childhood malaria and acute respiratory tract infections, leading causes of mortality in sub-Saharan Africa.
  • Accurate clinical assessment of disease severity is vital for appropriate management, often relying solely on clinical signs.
  • Identifying reliable clinical indicators for severe disease, especially in malaria-endemic regions, remains a challenge.

Purpose of the Study:

  • To evaluate interobserver agreement among clinicians on specific respiratory signs in children with potential malaria.
  • To assess the utility of video recordings in examining variations in the interpretation of respiratory signs.

Main Methods:

  • A prospective study involving 51 children with suspected malaria.
  • Video recordings of children were used to assess the agreement between clinicians on respiratory signs like recession, nasal flaring, and deep breathing.
  • Interobserver agreement was quantified using kappa statistics.

Main Results:

  • Good agreement was observed for recession, severe recession, and nasal flaring (kappa = 0.57, 0.50, 0.60).
  • Substantial agreement was found for deep breathing and overall respiratory distress impression (kappa = 0.70, 0.69).
  • Significant variation in interpretation existed between individual clinicians, with kappa values ranging from 0.10 to 0.92.

Conclusions:

  • Video analysis is effective in demonstrating interobserver variability in assessing respiratory signs in children.
  • Standardizing the recognition and interpretation of clinical signs through training and potentially video methods is important for consistent diagnosis and management.
  • Improved standardization can enhance the reliability of clinical assessments in diverse healthcare settings.

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