"Applying the Sisterhood Method for Estimating Maternal Mortality to a Health Facility-based Sample: A Comparison with Results from a Household- based Sample."

1997 ◽  
Vol 28 (3) ◽  
pp. 266
Author(s):  
Isabella Danel ◽  
Wendy Graham ◽  
Paul Stupp ◽  
Pedro Castillo
2011 ◽  
Vol 31 (4) ◽  
pp. 315-319 ◽  
Author(s):  
B. A. Oye-Adeniran ◽  
K. A. Odeyemi ◽  
A. Gbadegesin ◽  
E. E. Ekanem ◽  
O. K. Osilaja ◽  
...  

2020 ◽  
Vol 14 (2) ◽  
pp. 1-8
Author(s):  
Rhiannon Grindle ◽  
Sofia Giannopoulou ◽  
Harriet Jacobs ◽  
Jerome Barongo ◽  
Alexandra Elspeth Cairns

Despite a substantial reduction in global maternal mortality, rates in low-income countries remain unacceptably high. Multiple contributing factors exist, grouped into three delays: health-seeking behaviour; accessibility of care; quality of care. In the Hoima District, rates of health facility delivery and skilled birth attendance remain low and maternal mortality exceeds the national average. Establishing the Midwives At Maternity Azur Clinic (February 2017) has addressed these issues at a local level. Health education and antenatal care are provided at the clinic, encouraging women to seek timely, appropriate intrapartum care. Access from surrounding villages is facilitated by a waiting home and weekly transport for antenatal care, alongside transport to a health facility with a staffed operating theatre, when required. It is run by a resident midwife, with regular training updates, and is stocked with the necessary resources for quality healthcare. Since its advent, village leaders report all-cause burials have reduced from one a day to one a week.


2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Vandana Sharma ◽  
Willa Brown ◽  
Muhammad Abdullahi Kainuwa ◽  
Jessica Leight ◽  
Martina Bjorkman Nyqvist

2000 ◽  
Vol 107 (10) ◽  
pp. 1290-1297 ◽  
Author(s):  
Bjorg Evjen Olsen ◽  
Sven Gudmund Hinderaker ◽  
Method Kazaura ◽  
Rolv Terje Lie ◽  
Per Bergsjo ◽  
...  

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 522
Author(s):  
Mathew Munyamaara Mutiiria ◽  
Gabriel Gatimu Mbugua ◽  
Doris Marwanga

Background: High maternal mortality rate is a major public health concern in developing countries.  Skilled birth delivery is central to reducing maternal mortality, yet health facility delivery remains low in Kitui County, Kenya. Our study estimated prevalence of unskilled delivery and identified factors associated with health facility delivery in Kitui County. Methods: A cross-sectional study was conducted December 2017-February 2018. 245 women from five administrative wards were interviewed. A structured questionnaire was used to collect data. Variables that had p value ≤0.05 in bivariate analysis were included in multivariable regression model to assess for confounders. Variables with a p value of ≤0.05 in multivariate analysis were considered statistically significant at 95% CI.  Results: We interviewed 245 (240 analyzed) women from the five wards; the majority were 16-25 years age group (45.5%; 110/240).  Mean age was 27±6.6 years. Prevalence of health facility delivery was 50.4%. Distance from a health facility, number of children in a household, occupation of the respondent’s partner, number of antenatal clinic (ANC) visits and means of transport were significant factors for not delivering in a health facility. On multivariate analysis, women who lived >5km from health facility were less likely to deliver in a health facility (AOR =0.36; 95% CI 0.15- 0.86). Women who attended ≥ 4 ANC visits were 4 times more likely to deliver in a health facility (95% CI 2.01-8.79). Conclusions: More than half of the respondents delivered in a health facility. A long distance from the health facility is a hindrance to accessing ANC services. Inadequate ANC visits was associated with home delivery. Improving accessibility of health care services and health education on family planning would increase delivery at a health facility. We recommend Kitui County introduce five satellite clinics/ambulatory services for expectant women to access ANC and maternal services.


Author(s):  
Dr. Ahmad Mohamed Makuwani ◽  
Dr. Phineas Ferdinand Sospeter ◽  
Dr. Leonard Subi ◽  
Dr. Mukome Anthony Nyamhagatta ◽  
Dr. Ntuli Kapologwe ◽  
...  

Background: Globally, Civil Registration, and Vital Statistics is the recommended method to track births and deaths. This system is weak in developing countries, including Tanzania. Other systems that may be used to report deaths, especially maternal mortality include integrated Disease Surveillance and Response (IDSR) and DHIS 2. Tanzania has been using Demographic and Health Survey to track maternal deaths from as early as 2000. This study uses a sisterhood method which is conducted every five years, tracking events of the past ten years. It collects maternal deaths related from sisters of the same mother from sampled 10,000 households out of 11,000,000 available in Tanzania. The methodology uses wide confidence intervals, which affect its reliability. Therefore, the presented data is the outcome of tracking maternal deaths data using routine system from health facilities and communities in Tanzania Mainland.


Author(s):  
Ireen Chola Mwape Musonda

Luapula Province has the highest maternal mortality and one of the lowest facility-based births in Zambia. The distance to facilities limits facility-based births for women in rural areas. In 2013, the government incorporated maternity homes into the health system at the community level to increase facility-based births and reduce maternal mortality. Despite the policy to stopping traditional birth attendants from conducting deliveries at home and encouraging all women to give birth at the health facility under skilled care, many women still give birth at home. An exploratory cross section survey was used to gather data by conducting structured interviews with 50 women of childbearing age who had a recent or previous home delivery. The following factors were found to be associated with home deliveries in surrounding villages in kashikishi; abrupt onset/precipitate labor, long distance/transport difficulties to reach the nearest health facility, having had successful HD, poverty/low income and gender though having a small percentage. Parity in which the majority were multiparas’ women, attitude was also associated with home deliveries and other unforeseen circumstances such as a funeral and being alone at home at the onset of labour.


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