Amasha Mwanamsangu

Mr. Amasha Mwanamsangu


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2017 in PLOS ONE
Verified
Journal Article
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FCFrancisca S. Chuwa
Francisca S. Chuwa
AMAmasha Mwanamsangu
Amasha Mwanamsangu
BBBenjamin G. Brown
Benjamin G. Brown
SMSia E. Msuya
Sia E. Msuya
ESElizabeth E. Senkoro
Elizabeth E. Senkoro
MMMichael Johnson Mahande
Michael Johnson Mahande
Stillbirth is a major cause of perinatal mortality and occurs disproportionately in developing countries including Tanzania. However, there is scant information regarding the predictors of this condition in Tanzania. This study aimed to determine maternal and fetal risk factors for stilbirth in northen Tanzania. A retrospective cohort study was performed using maternally-linked data from the Kilimanjaro Christian Medical Centre birth registry. A total of 47681 women who had singleton delivery at KCMC between 2000 and 2014 were analyzed. Women with multiple gestations were excluded. Descriptive statistics were summarized using proportions and frequency. Chi-square test was used to determine risk factors for stillbirth in bivariate analysis. A multivariable regression model was used to estimate adjusted odds ratios (AOR) with 95% confidence intervals for maternal and fetal factors associated with stillbirth. A p-value of less than 0.05 was considered statistically significant. The frequency of stillbirth was 3.5%. Pre-eclampsia (AOR 3.99; 95% CI: 3.31–4.81) and placental abruption (AOR 22.62; 95% CI: 15.41–33.19) were the strongest maternal risk factors associated with still birth. While non-cephalic presentation (AOR 6.05; 95% CI: 4.77–7.66) and low birth weight (AOR 9.66; 95%CI: 8.66–10.77) were the fetal factors with the greatest impact on stillbirth. The rate of stillbirth in our study was consistent with past studies of developing countries. Numerous maternal and fetal factors risk factors were identified. Early identification of at risk pregnancies and appropriate intervention may help to reduce the occurrence of stillbirth.

26 December 2018 in PLOS ONE
Verified
Journal Article
Open access
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DBDunstan Raphael Bishanga
Dunstan Raphael Bishanga
MDMary Drake
Mary Drake
YKYoung-Mi Kim
Young-Mi Kim
AMAmasha Mwanamsangu
Amasha Mwanamsangu
AMAhmad M Makuwani
Ahmad M Makuwani
JSJelle Stekelenburg
Jelle Stekelenburg
In Tanzania, maternal mortality has stagnated over the last 10 years, and some of the areas with the worst indicators are in the Lake and Western Zones. This study investigates the factors associated with institutional deliveries among women aged 15–49 years in two regions of the Lake Zone. Data were extracted from a cross-sectional household survey of 1,214 women aged 15–49 years who had given birth in the 2 years preceding the survey in Mara and Kagera regions. Logistic regression analyses were conducted to explore the influence of various factors on giving birth in a facility. About two-thirds (67.3%) of women gave birth at a health facility. After adjusting for possible confounders, six factors were significantly associated with institutional delivery: region (adjusted odds ratio [aOR], 95% confidence interval [CI]: 0.54 [0.41–0.71]), number of children (aOR, 95% CI: 0.61 [0.42–0.91]), household wealth index (aOR, 95% CI: 1.47 [1.09–2.27]), four or more antenatal care visits (aOR, 95% CI: 1.97 [1.12–3.47]), knowing three or more pregnancy danger signs (aOR, 95% CI: 1.87 [1.27–2.76]), and number of birth preparations (aOR, 95% CI: 6.09 [3.32–11.18]). Another three factors related to antenatal care were also significant in the bivariate analysis, but these were not significantly associated with place of delivery after adjusting for all variables in an extended multivariable regression model. Giving birth in a health facility was associated both with socio-demographic factors and women’s interactions with the health care system during pregnancy. The findings show that national policies and programs promoting institutional delivery in Tanzania should tailor interventions to specific regions and reach out to low-income and high-parity women. Efforts are needed not just to increase the number of antenatal care visits made by pregnant women, but also to improve the quality and content of the interaction between women and service providers.

DBDunstan Raphael Bishanga
Dunstan Raphael Bishanga
Joseph MassengaJoseph Massenga
Joseph Massenga
AMAmasha Mwanamsangu
Amasha Mwanamsangu
YKYoung-Mi Kim
Young-Mi Kim
JGJohn George
John George
JSJelle Stekelenburg
Jelle Stekelenburg
Negative experiences of care may act as a deterrent to current and/or future utilization of facility-based health services. To examine the situation in Tanzania, we conducted a sub-analysis of a cross-sectional household survey conducted in April 2016 in the Mara and Kagera regions of Tanzania. The sample included 732 women aged 15–49 years who had given birth in a health facility during the previous two years. Log binomial regression models were used to investigate the association between women’s experiences of care during childbirth and the receipt of early postnatal checks before discharge. Overall, 73.1% of women reported disrespect and abuse, 60.1% were offered a birth companion, 29.1% had a choice of birth position, and 85.5% rated facility cleanliness as good. About half of mothers (46.3%) and newborns (51.4%) received early postnatal checks before discharge. Early postnatal checks for both mothers and newborns were associated with no disrespect and abuse (RR: 1.23 and 1.14, respectively) and facility cleanliness (RR: 1.29 and 1.54, respectively). Early postnatal checks for mothers were also associated with choice of birth position (RR: 1.18). The results suggest that a missed opportunity in providing an early postnatal check is an indication of poor quality of the continuum of care for mothers and newborns. Improved quality of care at one stage can predict better care in subsequent stages.

26 November 2019 in Obesity Science & Practice
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Journal Article
Open access
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AMAmasha Mwanamsangu
Amasha Mwanamsangu
MMMichael J. Mahande
Michael J. Mahande
FMFesto S. Mazuguni
Festo S. Mazuguni
DBDunstan R. Bishanga
Dunstan R. Bishanga
NMNickolas Mazuguni
Nickolas Mazuguni
DMDominic Mosha
Dominic Mosha
Summary: Background: In the last decade, Tanzania has observed a dramatic increase in overweight and obesity among women of childbearing age, a demographic shift that has been associated with intrapartum obstetric complications in high‐income countries. Similar increases in maternal morbidity including postpartum haemorrhage, hypertensive disorders of pregnancy, and rates of caesarean delivery have not yet documented in Tanzania. This analysis describes intrapartum obstetric complications associated with maternal obesity among pregnant women delivering at teaching hospital in Northern Tanzania.Methods: A retrospective cohort analysis was conducted using the hospital's antenatal care (ANC) and birth registries from 2000 to 2015. The World Health Organization (WHO) body mass index (BMI) categories were applied to classify BMI status of pregnant women within 16 weeks of gestational age at their first ANC visit. Relative risk (RR) of obstetric complications with corresponding 95% confidence intervals (CIs) were estimated using multivariable log‐binomial regression, adjusting for clustering effect for the correlation between multiple deliveries of the same woman.Results: Among 11 873 women who delivered babies in the hospital during the study period, 3139 (26.5%) fit the definition of overweight and 1464 (12.3%) women with obesity. Compared with women with normal weight, women with obesity were at over 2.6 times at risks of experiencing pre‐eclampsia/eclampsia (RR: 2.66; 95% CI, 2.08‐3.40), pregnancy‐induced hypertension (RR 2.13; 95% CI, 1.26‐3.62), and postpartum haemorrhage (RR 1.22; 95% CI, 1.00‐1.49). Additionally, women with obesity had also higher risk of either elective (RR 2.40; 95% CI, 1.88‐3.06) or emergency (RR: 1.53; 95% CI, 1.34‐1.75) caesarean delivery.Conclusion: Maternal obesity is an emerging health problem in Tanzania. This study clearly demonstrates an association between increased risk of intrapartum complications and obesity. A review of guidelines around ANC screening and intrapartum care practices considering BMI, as well as appropriate messages for women with obesity, should be considered to improve maternal and newborn outcomes.

27 July 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MPMarya Plotkin
Marya Plotkin
DBDunstan Raphael Bishanga
Dunstan Raphael Bishanga
HKHussein Kidanto
Hussein Kidanto
MJMary Carol Jennings
Mary Carol Jennings
JRJim Ricca
Jim Ricca
BRBarbara Rawlins
Barbara Rawlins
Globally, an estimated 2.7 million babies die in the neonatal period annually, and of these, about 0.7 million die from intrapartum-related events. In Tanzania 51,000 newborn deaths and 43,000 stillbirths occur every year. Approximately two-thirds of these deaths could be potentially prevented with improvements in intrapartum and neonatal care. Routine measurement of fetal intrapartum deaths and newborn deaths that occur in health facilities can help to evaluate efforts to improve the quality of intrapartum care to save lives. However, few examples exist of indicators on perinatal mortality in the facility setting that are readily available through health management information systems (HMIS). From November 2016 to April 2017, health providers at 10 government health facilities in Kagera region, Tanzania, underwent refresher training on perinatal death classification and training on the use of handheld Doppler devices to assess fetal heart rate upon admission to maternity services. Doppler devices were provided to maternity services at the study facilities. We assessed the validity of an indicator to measure facility-based pre-discharge perinatal mortality by comparing perinatal outcomes extracted from the HMIS maternity registers to a gold standard perinatal death audit. Sensitivity and specificity of the HMIS neonatal outcomes to predict gold standard audit outcomes were both over 98% based on analysis of 128 HMIS–gold standard audit pairs. After this validation, we calculated facility perinatal mortality indicator from HMIS data using fresh stillbirths and pre-discharge newborn death as the numerator and women admitted in labor with positive fetal heart tones as the denominator. Further emphasizing the validity of the indicator, FPM values aligned with expected mortality by facility level, with lowest rates in health centers (range 0.3%– 0.5%), compared to district hospitals (1.5%– 2.9%) and the regional hospital (4.2%). This facility perinatal mortality indicator provides an important health outcome measure that facilities can use to monitor levels of perinatal deaths occurring in the facility and evaluate impact of quality of care improvement activities.