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The aim of this study was to examine district differentials in the lifetime risk of pregnancy-related death among females aged 15–49 in Zambia. We used data on household deaths collected in the 2010 census to estimate the lifetime risk of pregnancy-related death among females in Zambia. Using all-cause age-specific death rates, we generated female life tables for 74 districts and estimated person-years of exposure to all-cause mortality at each age. We then applied age-specific pregnancy-related mortality rates to the person-years of exposure to obtain estimates of adult lifetime risk that took account of competing causes of death. We used the ArcGIS software to analyse clustering and the spatial distribution of risk. A female aged 15 in Zambia had a 3.7 % chance of dying a pregnancy-related death before the age of 50. At district level, the lifetime risk ranged from 1.7 to 7.7 %. The Global Moran’s I was 0.452 (z-score 5.8, p value <0.01), indicating clustering of districts with similar risk levels of pregnancy-related mortality. Clustering of high-risk districts was found in Western province while clustering of low risk districts was found in Lusaka and Muchinga provinces. The level of adult lifetime risk was more positively associated with pregnancy-related mortality than with fertility. Females in Zambia have a high lifetime risk of pregnancy-related death overall but this risk varies greatly across the different districts of the country. The observed diversity is larger than when merely studying differences between provinces and is only weakly linked to differences in fertility levels. The identification of districts with varying levels of risk should enable evidence-based and focused delivery of maternal health services in districts where risk of death from maternal causes is greatest.

The aim of this study was to examine district differentials in the lifetime risk of pregnancy-related death among females aged 15–49 in Zambia. We used data on household deaths collected in the 2010 census to estimate the lifetime risk of pregnancy-related death among females in Zambia. Using all-cause age-specific death rates, we generated female life tables for 74 districts and estimated person-years of exposure to all-cause mortality at each age. We then applied age-specific pregnancy-related mortality rates to the person-years of exposure to obtain estimates of adult lifetime risk that took account of competing causes of death. We used the ArcGIS software to analyse clustering and the spatial distribution of risk. A female aged 15 in Zambia had a 3.7 % chance of dying a pregnancy-related death before the age of 50. At district level, the lifetime risk ranged from 1.7 to 7.7 %. The Global Moran’s I was 0.452 (z-score 5.8, p value <0.01), indicating clustering of districts with similar risk levels of pregnancy-related mortality. Clustering of high-risk districts was found in Western province while clustering of low risk districts was found in Lusaka and Muchinga provinces. The level of adult lifetime risk was more positively associated with pregnancy-related mortality than with fertility. Females in Zambia have a high lifetime risk of pregnancy-related death overall but this risk varies greatly across the different districts of the country. The observed diversity is larger than when merely studying differences between provinces and is only weakly linked to differences in fertility levels. The identification of districts with varying levels of risk should enable evidence-based and focused delivery of maternal health services in districts where risk of death from maternal causes is greatest.

Objective: We compared official maternal mortality statistics with those from a special study covering all pregnancy-associated deaths in two European countries (Finland and France) and in two US states (Massachusetts and North Carolina) in 1999-2000 to characterize pregnancy-related deaths that are not included in official statistics. Study design: We linked the official ICD-10-based maternal mortality data for 84 deaths with study data on 404 pregnancy-associated deaths. Results: Of the pregnancy-associated deaths, 151 were pregnancy-related. We found 69 pregnancy-related deaths that had not been included as maternal deaths, and two deaths coded as maternal deaths that did not meet our definition for a pregnancy-related death. In total, 58 of these 69 deaths were from medical causes and 11 were from external causes or injuries (10 postpartum depression-related suicides and one accidental drug poisoning). The unreported deaths due to medical causes included 27 direct, 15 indirect, and two direct/indirect pregnancy-related deaths and 14 possibly pregnancy-related deaths. The most common causes of the unreported deaths due to medical causes were intracerebral hemorrhage (7 deaths), peripartum cardiomyopathy (4), pulmonary embolism (4) and pregnancy-induced hypertension (4). Conclusions: The collection of data on pregnancy-related and pregnancy-associated deaths is useful for countries with low maternal mortality figures. The use of various data-collection methods may substantially increase the quality of maternal mortality statistics. © 2006 Elsevier Ireland Ltd. All rights reserved., SCOPUS: ar.j, info:eu-repo/semantics/published

Objective: We compared official maternal mortality statistics with those from a special study covering all pregnancy-associated deaths in two European countries (Finland and France) and in two US states (Massachusetts and North Carolina) in 1999-2000 to characterize pregnancy-related deaths that are not included in official statistics. Study design: We linked the official ICD-10-based maternal mortality data for 84 deaths with study data on 404 pregnancy-associated deaths. Results: Of the pregnancy-associated deaths, 151 were pregnancy-related. We found 69 pregnancy-related deaths that had not been included as maternal deaths, and two deaths coded as maternal deaths that did not meet our definition for a pregnancy-related death. In total, 58 of these 69 deaths were from medical causes and 11 were from external causes or injuries (10 postpartum depression-related suicides and one accidental drug poisoning). The unreported deaths due to medical causes included 27 direct, 15 indirect, and two direct/indirect pregnancy-related deaths and 14 possibly pregnancy-related deaths. The most common causes of the unreported deaths due to medical causes were intracerebral hemorrhage (7 deaths), peripartum cardiomyopathy (4), pulmonary embolism (4) and pregnancy-induced hypertension (4). Conclusions: The collection of data on pregnancy-related and pregnancy-associated deaths is useful for countries with low maternal mortality figures. The use of various data-collection methods may substantially increase the quality of maternal mortality statistics. © 2006 Elsevier Ireland Ltd. All rights reserved., SCOPUS: ar.j, info:eu-repo/semantics/published