TY - JOUR
T1 - Validation of the diagnosis of childhood morbidity using maternal health interviews
AU - Kalter, Henry D.
AU - Gray, Ronald H.
AU - Black, Robert E.
AU - Gultiano, Socorro A.
N1 - Funding Information:
ACKNOWLEDGEMENTS This study was supported by a grant from the United States Agency for International Development, Cooperative Agreement #DPE 5951-A-5O51-OO.
PY - 1991/3
Y1 - 1991/3
N2 - The diagnosis of childhood illness by maternal health interview surveys is widely used to estimate the prevalence of childhood morbidity in developing countries. To determine the validity of interview-based diagnoses, and to define simple, sensitive and specific diagnostic algorithms, we compared symptoms and signs reported by mothers during structured interviews with physicians' diagnoses for 271 children on the Philippine island of Cebu. The 271 children had 318 physician diagnosed illnesses: 105 acute lower respiratory infections (ALRI), 121 diarrhoeas, 36 measles, 50 upper respiratory infections (URTI), 5 roseola infantums and one milaria rubria.An algorithm for measles (age≥120 days, rash and fever≥3 days and fading of rash) had a sensitivity and specificity of 94%. For ALRI an algorithm of cough, dyspnoea and fever had a sensitivity of 82%, but specificity was lower in comparison with URTI (58%) than with children who had no respiratory illness (79%). Inclusion of signs of respiratory distress (flaring of nostrils, intercostal retraction) raised the specificity to 83-84%, but reduced sensitivity to 68%. Diagnosis of diarrhoea based on frequent loose or liquid stools had a sensitivity of 95-97% and specificity of 80% in children with or without concomitant non-diarrhoeal illnesses. Addition of questions on numbers of stools (≥6 per day), and on signs of dehydration increased specificity to 95% but reduced the sensitivity to 84-86%. However, specific signs of dehydration were not well reported by the mothers. This study suggests that diagnosis of measles, ALRI and diarrhoea based on structured maternal interview is accurate, and that comparison with medical records provides a useful method for validation of morbidity questionnaires in developing countries.
AB - The diagnosis of childhood illness by maternal health interview surveys is widely used to estimate the prevalence of childhood morbidity in developing countries. To determine the validity of interview-based diagnoses, and to define simple, sensitive and specific diagnostic algorithms, we compared symptoms and signs reported by mothers during structured interviews with physicians' diagnoses for 271 children on the Philippine island of Cebu. The 271 children had 318 physician diagnosed illnesses: 105 acute lower respiratory infections (ALRI), 121 diarrhoeas, 36 measles, 50 upper respiratory infections (URTI), 5 roseola infantums and one milaria rubria.An algorithm for measles (age≥120 days, rash and fever≥3 days and fading of rash) had a sensitivity and specificity of 94%. For ALRI an algorithm of cough, dyspnoea and fever had a sensitivity of 82%, but specificity was lower in comparison with URTI (58%) than with children who had no respiratory illness (79%). Inclusion of signs of respiratory distress (flaring of nostrils, intercostal retraction) raised the specificity to 83-84%, but reduced sensitivity to 68%. Diagnosis of diarrhoea based on frequent loose or liquid stools had a sensitivity of 95-97% and specificity of 80% in children with or without concomitant non-diarrhoeal illnesses. Addition of questions on numbers of stools (≥6 per day), and on signs of dehydration increased specificity to 95% but reduced the sensitivity to 84-86%. However, specific signs of dehydration were not well reported by the mothers. This study suggests that diagnosis of measles, ALRI and diarrhoea based on structured maternal interview is accurate, and that comparison with medical records provides a useful method for validation of morbidity questionnaires in developing countries.
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U2 - 10.1093/ije/20.1.193
DO - 10.1093/ije/20.1.193
M3 - Article
C2 - 2066219
AN - SCOPUS:0025919634
SN - 0300-5771
VL - 20
SP - 193
EP - 198
JO - International journal of epidemiology
JF - International journal of epidemiology
IS - 1
ER -