BACKGROUND: Maternal mortality is now a rare event in the developed world and its measurement is no longer a useful way of assessing obstetric care. Examination of cases of women who nearly died but survived a severe complication of pregnancy or childbirth - maternal 'near-misses' - is increasingly being recognised as potentially more useful, although severe maternal morbidity is much less easy to define and quantify than maternal death. AIM: To identify and assess prospectively cases of severe maternal morbidity presenting to Cairns Base Hospital (CBH), to define cases as near-misses and thereby develop a tool for future assessment of obstetric care in CBH and elsewhere. METHODS: Based on approaches recommended by the recent WHO working group on Maternal Mortality and Morbidity classifications, a data collection form was constructed using a combination of named morbidities and specific interventions. Over 1 year data from all cases of severe maternal morbidity was collected and analysed both prospectively and retrospectively to identify true near-misses. RESULTS: Seventeen cases of true near-misses were identified, giving a near-miss rate of six per 1000 live births for CBH in the study period; 64% of cases were attributable to obstetric causes and 36% to non-obstetric causes. CONCLUSIONS: Collection of near-miss data has the potential to become a useful tool for the assessment of obstetric care in both in CBH and in other Australian hospitals but is time-consuming and requires continuous surveillance by medical staff if cases are not to be overlooked.
BACKGROUND: Maternal mortality is now a rare event in the developed world and its measurement is no longer a useful way of assessing obstetric care. Examination of cases of women who nearly died but survived a severe complication of pregnancy or childbirth - maternal 'near-misses' - is increasingly being recognised as potentially more useful, although severe maternal morbidity is much less easy to define and quantify than maternal death. AIM: To identify and assess prospectively cases of severe maternal morbidity presenting to Cairns Base Hospital (CBH), to define cases as near-misses and thereby develop a tool for future assessment of obstetric care in CBH and elsewhere. METHODS: Based on approaches recommended by the recent WHO working group on Maternal Mortality and Morbidity classifications, a data collection form was constructed using a combination of named morbidities and specific interventions. Over 1 year data from all cases of severe maternal morbidity was collected and analysed both prospectively and retrospectively to identify true near-misses. RESULTS: Seventeen cases of true near-misses were identified, giving a near-miss rate of six per 1000 live births for CBH in the study period; 64% of cases were attributable to obstetric causes and 36% to non-obstetric causes. CONCLUSIONS: Collection of near-miss data has the potential to become a useful tool for the assessment of obstetric care in both in CBH and in other Australian hospitals but is time-consuming and requires continuous surveillance by medical staff if cases are not to be overlooked.
Authors: Stacie E Geller; Abigail R Koch; Caitlin E Garland; E Jane MacDonald; Francesca Storey; Beverley Lawton Journal: Reprod Health Date: 2018-06-22 Impact factor: 3.223
Authors: Helen L Barrett; Ruth Devin; Sophie Clarke; Marloes Dekker Nitert; Robert Boots; Narelle Fagermo; Leonie K Callaway; Karin Lust Journal: Obstet Med Date: 2012-11-05
Authors: Annettee Nakimuli; Sarah Nakubulwa; Othman Kakaire; Michael O Osinde; Scovia N Mbalinda; Rose C Nabirye; Nelson Kakande; Dan K Kaye Journal: BMC Pregnancy Childbirth Date: 2016-01-28 Impact factor: 3.007