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Table 6 Population obstetric morbidity cause distributions of diagnoses by clinicians and probabilistic interpretation of data from 381 deliveries in Benin, 57 in Bangladesh and 51 in India

From: A probabilistic method to estimate the burden of maternal morbidity in resource-poor settings: preliminary development and evaluation

  Benin Bangladesh India Total
Cause Clinician diagnosis InterSAMM Clinician diagnosis InterSAMM Clinician diagnosis InterSAMM Clinician diagnosis InterSAMM
Obstructed labour 34.2% 29.3% 23.5% 10.6% 8.5% 9.4% 30.3% 25.0%
Haemorrhage 10.9% 8.0% 14.2% 8.3% 12.4% 5.6% 11.4% 7.8%
Pregnancy-induced hypertension 7.5% 10.7% 12.5% 19.3% 10.8% 11% 8.4% 11.7%
Infection 13.5% 2.6% 22.7% 9.0% 22.1% 17.1% 15.4% 4.8%
Malaria 1.1% 0% 2.5% 1.5% 10.5% 5% 2.2% 0.7%
Anaemia 4.9% 5.4% 7.1% 5.4% 18.1% 4.9% 6.5% 5.3%
Other cause 1.1% NA 0% NA 0% NA 0.8% NA
Indeterminate 0% 0.6% 5.3% 0% 2.0% 0% 0.8% 0.5%
Uncomplicated 26.9% 7.1% 12.3% 28% 15.7% 21.6% 24% 11.0%
Cause uncertainty NA 34.0% NA 17.9% NA 25.5% NA 33.1%
Mean (min, max) absolute difference in determinate causes compared to clinician diagnoses   3.4% (0.5%, 10.9%)   6.8% (1.0%, 13.7%)   4.8% (0.2%, 13.2%)   3.7% (0.3%, 10.6%)