University of Michigan Medical School, Ann Arbor, USA.
Int J Gynaecol Obstet. 2011 Jul;114(1):29-32. doi: 10.1016/j.ijgo.2011.01.011. Epub 2011 Apr 17.
To investigate the identification of maternal deaths at the community level using the reproductive age mortality survey (RAMOS) in all households in which a women of reproductive age (WRA) died and to determine the most concise subset of questions for identifying a pregnancy-related death for further investigation.
A full RAMOS survey was conducted with the families of 46 deceased WRA who died between 2005 and July 2009 and was compared with the cause of death confirmed by the maternal mortality review committee to establish the number of maternal mortalities. The positive predictive value (PPV) of each RAMOS question for identifying a maternal death was determined.
Compared with years of voluntary reporting, active surveillance for maternal deaths doubled their identification. In addition, 4 questions from the full RAMOS have the highest PPV for a maternal death including the question: "Was she pregnant within the last 6weeks?" which had a 100% PPV and a 100% negative predictive value.
Active identification of maternal mortality at the community level by using a 4-question modified RAMOS that is systematically administered in the local language by health workers can increase understanding of the extent of maternal mortality in rural Ghana.
利用生殖年龄死亡率调查(RAMOS)在所有生育年龄妇女(WRA)死亡的家庭中,调查社区一级的孕产妇死亡识别,并确定用于进一步调查的识别与妊娠相关死亡的最简洁问题子集。
对 2005 年至 2009 年 7 月期间死亡的 46 名死亡 WRA 的家属进行了完整的 RAMOS 调查,并与孕产妇死亡率审查委员会确认的死因进行了比较,以确定孕产妇死亡人数。确定了每个 RAMOS 问题识别孕产妇死亡的阳性预测值(PPV)。
与自愿报告的年份相比,孕产妇死亡的主动监测将其识别率提高了一倍。此外,完整 RAMOS 的 4 个问题对孕产妇死亡的阳性预测值最高,包括问题:“她是否在过去 6 周内怀孕?”其阳性预测值为 100%,阴性预测值为 100%。
通过使用经过系统管理的 4 个问题修改后的 RAMOS,由卫生工作者用当地语言在社区一级主动识别孕产妇死亡率,可以提高对加纳农村地区孕产妇死亡率的认识。