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严重孕产妇发病率监测网络:一个强大的国家级协作网络,旨在生成有关孕产妇健康结局和护理的数据。

Network for Surveillance of Severe Maternal Morbidity: a powerful national collaboration generating data on maternal health outcomes and care.

机构信息

Department of Obstetrics and Gynaecology, School of Medicine, University of de Campinas (UNICAMP), Campinas, Brazil.

Centre for Research on Reproductive Health of Campinas (Cemicamp), Campinas, Brazil.

出版信息

BJOG. 2016 May;123(6):946-53. doi: 10.1111/1471-0528.13614. Epub 2015 Sep 28.

Abstract

OBJECTIVE

To identify cases of severe maternal morbidity (SMM) during pregnancy and childbirth, their characteristics, and to test the feasibility of scaling up World Health Organization criteria for identifying women at risk of a worse outcome.

DESIGN

Multicentre cross-sectional study.

SETTING

Twenty-seven referral maternity hospitals from all regions of Brazil.

POPULATION

Cases of SMM identified among 82 388 delivering women over a 1-year period.

METHODS

Prospective surveillance using the World Health Organization's criteria for potentially life-threatening conditions (PLTC) and maternal near-miss (MNM) identified and assessed cases with severe morbidity or death.

MAIN OUTCOME MEASURES

Indicators of maternal morbidity and mortality; sociodemographic, clinical and obstetric characteristics; gestational and perinatal outcomes; main causes of morbidity and delays in care.

RESULTS

Among 9555 cases of SMM, there were 140 deaths and 770 cases of MNM. The main determining cause of maternal complication was hypertensive disease. Criteria for MNM conditions were more frequent as the severity of the outcome increased, all combined in over 75% of maternal deaths.

CONCLUSIONS

This study identified around 9.5% of MNM or death among all cases developing any severe maternal complication. Multicentre studies on surveillance of SMM, with organised collaboration and adequate study protocols can be successfully implemented, even in low-income and middle-income settings, generating important information on maternal health and care to be used to implement appropriate health policies and interventions.

TWEETABLE ABSTRACT

Surveillance of severe maternal morbidity was proved to be possible in a hospital network in Brazil.

摘要

目的

识别妊娠和分娩期间的严重孕产妇发病率(SMM)病例,其特征,并检验扩大世界卫生组织(WHO)确定有更差结局风险妇女标准的可行性。

设计

多中心横断面研究。

地点

巴西所有地区的 27 家转诊产科医院。

人群

在为期 1 年的时间里,82388 名分娩妇女中确定的 SMM 病例。

方法

使用世界卫生组织(WHO)有生命危险情况(PLTC)和孕产妇接近死亡(MNM)标准进行前瞻性监测,识别和评估有严重发病或死亡风险的病例。

主要结果测量

孕产妇发病率和死亡率指标;社会人口学、临床和产科特征;妊娠和围产期结局;发病的主要原因和护理延误。

结果

在 9555 例 SMM 病例中,有 140 例死亡和 770 例 MNM。孕产妇并发症的主要决定因素是高血压疾病。随着结局严重程度的增加,MNM 情况的标准更为常见,所有这些情况加起来超过 75%的孕产妇死亡。

结论

本研究在所有发生严重孕产妇并发症的病例中发现了约 9.5%的 MNM 或死亡。在低收入和中等收入国家,通过多中心协作和适当的研究方案,对 SMM 进行监测是可行的,这可以产生有关孕产妇健康和护理的重要信息,以用于实施适当的卫生政策和干预措施。

推文摘要

在巴西的一个医院网络中,已经证明对严重孕产妇发病率的监测是可行的。

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