A Study of Causes and Factors Responsible for Maternal Mortality in a Tertiary Care Institute of Central Gujarat

Kachhwaha, Kanika P.; Jain, Mahima

doi:10.11648/j.jgo.20190704.11

Cited by 4 publications

(7 citation statements)

References 9 publications

(10 reference statements)

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“…A study recently undertaken in Central Gujarat, India (2019) supports these results. The study reported that the largest number of maternal deaths (83.1%) occurred in the age group of 20-34 but the MMR increased significantly in women 35 years old and above [41]. These results confirm what has been found in studies carried out in the United States and a WHO multi-country Survey on Maternal and Newborn Health on pregnancy-related mortality that advanced maternal age predisposes women to adverse pregnancy outcomes [42,43].…”

Section: Discussionsupporting

confidence: 69%

Maternal mortality by socio-demographic characteristics and cause of death in South Africa: 2007–2015

Bomela

2020

BMC Public Health

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Background: South Africa's maternal mortality ratio remains high although it has substantially declined in the past few years. Numerous studies undertaken in South Africa on maternal mortality have not paid much attention to how the causes are distributed in different socio-demographic groups. This study assesses and analyses the causes of maternal mortality according to sociodemographic factors in South Africa. Methods: The causes of maternal deaths were assessed with respect to age, province, place of death, occupation, education and marital status. Data were obtained from the vital registration database of Statistics South Africa. About 14,892 maternal deaths of women from 9 to 55 years of age were analysed using frequency tables, crosstabulations and logistic regression. Maternal mortality ratio (MMR), by year, age group, and province for the years 2007-2015 was calculated.

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Section: Discussionsupporting

confidence: 69%

Maternal mortality by socio-demographic characteristics and cause of death in South Africa: 2007–2015

Bomela

2020

BMC Public Health

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“…Also 2 cases were from Qena Governorate, they came to Sohag University Hospital and that was a waste of time. That is compatible with Kachhwaha and Jain (13) that showed maximum deaths occurred in patients with rural locality by 71% and Karlsen et al (14) who showed presence of differences between urban and rural areas especially in the poor countries. In addition woman's education in urban areas is higher than in rural areas and this is an important factor, where educated woman can determine the risks and complications early and usually aware about health services more than the illiterate woman.…”

Section: Discussionsupporting

confidence: 86%

“…In our study, the largest number of deaths occurred in the age group of 20-35, may be because those are the ages at which women are most likely to give birth, so efforts directed at this age group would most effectively reduce the number of deaths. According to Kachhwaha and Jain (13) a young pregnant women carries higher risk due to preeclampsia, cephalopelvic disproportion, uterine inertia and anemia. This is compatible with our study, in age group equal to or less than 35 there were 9 cases of preeclampsia and 6 cases of obstetric hemorrhage.…”

Section: Discussionmentioning

confidence: 99%

Values of Application of Three Delays Model to Maternal Mortality Scenarios at Sohag Univeristy Hospital Bidirectional Cohort Study

Amin

Ibrahim

Ali

2021

The Egyptian Journal of Hospital Medicine

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Background: Maternal mortality in Egypt is still relatively high so measuring maternal mortality and identifying its causes is essential and should be calculated regularly for the purpose of planning, monitoring and evaluation of provided maternal health care. Objective: Identifying the circumstances and causes of maternal mortality. Patient and method: Data were collected from records of patients who were presented to and delivered at Sohag University Hospital in the period between 2017 and 2019. Only cases of maternal mortality were included in this study. In our study we found 20 maternal deaths occurred at our hospital between 2017 and 2019. Results: In our study the most frequent one was the 1 st delay that occurred in 10 women followed by 2 nd delay in 4 women then combination of 1 st and third in about 3 women and combination of 1 st and 2 nd in 2 cases and delay 2 in 1 case. Our study showed that the first cause of death was preeclampsia/eclampsia 55% followed by obstetric hemorrhage (placenta previa, postpartum hemorrhage, rupture uterus) 35%, caesarean section complications 5% and lastly medical condition associated with pregnancy 5%. Conclusions: This study showed that the first delay is the most important delay in Sohag, especially in rural areas, and the most important cause of death was preeclampsia and ignorance about its complications which was due to lack of antenatal care.

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“…One of the major difficulties of implementing an obstetric audit program in low- income countries is the poor quality of data collected [15]. There are many sources of errors based on retrospective data recording and of interpretation, errors from disorganization in patients’ files, and errors of tallying and reporting.…”

Section: Discussionmentioning

confidence: 99%

“…Over 60% of low and middle income countries (LMICs) have a dysfunctional system of Civil Registration (CR), which is often regarded as the gold standard for producing reliable data on maternal deaths [14]. A study conducted in India revealed a significant underreporting of maternal deaths [15]. This is very crucial as each unrecorded maternal death is a missed opportunity to prevent similar deaths in the future [16].…”

Section: Introductionmentioning

confidence: 99%

Maternal death review and surveillance: The case of Central Hospital, Benin City, Nigeria

et al. 2019

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BackgroundDespite the adoption of Maternal and Perinatal Death Surveillance and Response (MPDSR) by Nigeria’s Federal Ministry of Health to track and rectify the causes of maternal mortality, very limited documentation exists on experiences with the method and its outcomes at institutional and policy levels.ObjectiveThe objective of this study was to identify through the MPDSR process, the medical causes and contributory factors of maternal mortality, and to elucidate the policy response that took place after the dissemination of the results.MethodsThe study was conducted at the Central Hospital, Benin between October 1, 2017, and May 31, 2019. We first developed a strategic plan with the objective to reduce maternal mortality by 50% in the hospital in two years. An MPDSR committee was established and the members and all staff of the Maternity Department of the hospital were trained to use the nationally approved protocol. All consecutive cases of maternal deaths in the hospital were then reviewed using the MPDSR protocol. The results were submitted to the hospital Management and its supporting agencies for administrative action to correct the identified deficiencies.ResultsThere were 18 maternal deaths in the hospital during the period, and 4,557 deliveries giving a maternal mortality ratio (MMR) of 395/100,000 deliveries. This amounted to a seven-fold reduction in MMR in the hospital at the onset of the project. The main medical causes identified were obstetric hemorrhage (n = 10), pulmonary embolism (n = 2), ruptured uterus (n = 2), eclampsia (n = 1), anemic heart failure (n = 1) and post-partum sepsis (n = 2). Several facility-based and patient contributory factors were identified such as lack of blood in the hospital and late reporting with severe obstetric complication among others. Response to the recommendations from the committee include increased commitment of hospital managers to immediately rectify the attributable causes of deaths, the establishment of a couples health education program, mobilization and sensitization of staff to handle pregnant women with great sensitivity, promptness and care, the refurbishing of an intensive care unit, and the increased availability of blood for transfusion through the intensification of blood donation drive in the hospital.ConclusionWe conclude that the results of MPDSR, when acted upon by hospital managers and policymakers can lead to an improvement in quality of care and a consequent decline in maternal mortality ratio in referral hospitals.

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A Study of Causes and Factors Responsible for Maternal Mortality in a Tertiary Care Institute of Central Gujarat

Cited by 4 publications

References 9 publications

Maternal mortality by socio-demographic characteristics and cause of death in South Africa: 2007–2015

Maternal mortality by socio-demographic characteristics and cause of death in South Africa: 2007–2015

Values of Application of Three Delays Model to Maternal Mortality Scenarios at Sohag Univeristy Hospital Bidirectional Cohort Study

Maternal death review and surveillance: The case of Central Hospital, Benin City, Nigeria

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