Incidence and Predictors of Maternal and Perinatal Mortality among Women with Severe Maternal Outcomes: A Tanzanian Facility-Based Survey for Improving Maternal and Newborn Care

Joint Authors

Lilungulu, Athanase
Nassoro, Mzee
Chetto, Paul
Bintabara, Deogratius
Mujungu, Simon
Chiwanga, Enid

Source

Obstetrics and Gynecology International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-04-10

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Introduction.

Maternal and perinatal mortality is still a major public health challenge in Tanzania, despite the ongoing government efforts to improve maternal and newborn care.

Among the contributors to these problems is the high magnitude of severe maternal outcomes (maternal near-miss).

The current study, therefore, aimed to identify the magnitude and predictors of maternal and perinatal mortality among women with severe maternal outcomes admitted to Dodoma Regional Referral Hospital.

Methods.

A retrospective cross-sectional study was conducted from October 2015 to January 2016 at Dodoma Regional Referral Hospital in Dodoma City.

All maternal deaths and maternal near-misses based on WHO criteria were included in this study.

Three outcome variables have been identified: maternal mortality, perinatal mortality, and neonatal complications.

To examine the predictors for the three predetermined outcome variables, the three logit models each containing unadjusted and adjusted findings were fitted.

A P-value less than 0.05 was considered indicative of statistically significant.

Results.

A total of 3600 pregnant women were admitted for obstetric reasons during the mentioned period.

140 of them were diagnosed with severe maternal outcomes; hence, they were included in this study.

The severe maternal outcome incidence ratio was 40.23 per 1000 live births, the institutional maternal mortality ratio was 459.77 per 100000 live births, and the perinatal mortality rate was 10.83 per 1000 total births.

Most of the maternal morbidity and mortality were due to direct causes in which postpartum hemorrhage and hypertensive disorders were the leading causes.

In adjusted analysis, per-protocol management, maternal age, and mode of birth were predictors of maternal mortality, perinatal mortality, and neonatal complications, respectively.

Conclusion.

Establishing and strengthening obstetric ICUs will help reduce maternal mortality as the response time from the onset of obstetric complications, while the provision of high-quality care will be substantially reduced.

Furthermore, the study recommends regular provision of in-service refresher training to emphasize the practice and compliance of per-protocol case management through a team approach in order to reduce the burden of maternal and perinatal mortality in Tanzania.

American Psychological Association (APA)

Lilungulu, Athanase& Bintabara, Deogratius& Mujungu, Simon& Chiwanga, Enid& Chetto, Paul& Nassoro, Mzee. 2020. Incidence and Predictors of Maternal and Perinatal Mortality among Women with Severe Maternal Outcomes: A Tanzanian Facility-Based Survey for Improving Maternal and Newborn Care. Obstetrics and Gynecology International،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1203351

Modern Language Association (MLA)

Lilungulu, Athanase…[et al.]. Incidence and Predictors of Maternal and Perinatal Mortality among Women with Severe Maternal Outcomes: A Tanzanian Facility-Based Survey for Improving Maternal and Newborn Care. Obstetrics and Gynecology International No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1203351

American Medical Association (AMA)

Lilungulu, Athanase& Bintabara, Deogratius& Mujungu, Simon& Chiwanga, Enid& Chetto, Paul& Nassoro, Mzee. Incidence and Predictors of Maternal and Perinatal Mortality among Women with Severe Maternal Outcomes: A Tanzanian Facility-Based Survey for Improving Maternal and Newborn Care. Obstetrics and Gynecology International. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1203351

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1203351