scholarly journals Four decades of measuring stillbirths and neonatal deaths in Demographic and Health Surveys: historical review

2021 ◽  
Vol 19 (S1) ◽  
Author(s):  
Joseph Akuze ◽  
Simon Cousens ◽  
Joy E. Lawn ◽  
Peter Waiswa ◽  
Vladimir Sergeevich Gordeev ◽  
...  
Keyword(s):  
Data Quality ◽  
Health Surveys ◽  
Historical Review ◽  
Quality Criteria ◽  
Demographic And Health Surveys ◽  
Household Surveys ◽  
Middle Income ◽  
Neonatal Deaths ◽  
Live Births ◽  
Over Time

Abstract Background Worldwide, an estimated 5.1 million stillbirths and neonatal deaths occur annually, 98% in low- and middle-income countries. Limited coverage of civil and vital registration systems necessitates reliance on women’s retrospective reporting in household surveys for data on these deaths. The predominant platform, Demographic and Health Surveys (DHS), has evolved over the last 35 years and differs by country, yet no previous study has described these differences and the effects of these changes on stillbirth and neonatal death measurement. Methods We undertook a review of DHS model questionnaires, protocols and methodological reports from DHS-I to DHS-VII, focusing on the collection of information on stillbirth and neonatal deaths describing differences in approaches, questionnaires and geographic reach up to December 9, 2019. We analysed the resultant data, applied previously used data quality criteria including ratios of stillbirth rate (SBR) to neonatal mortality rate (NMR) and early NMR (ENMR) to NMR, comparing by country, over time and by DHS module. Results DHS has conducted >320 surveys in 90 countries since 1984. Two types of maternity history have been used: full birth history (FBH) and full pregnancy history (FPH). A FBH collecting information only on live births has been included in all model questionnaires to date, with data on stillbirths collected through a reproductive calendar (DHS II-VI) or using additional questions on non-live births (DHS-VII). FPH collecting information on all pregnancies including live births, miscarriages, abortions and stillbirths has been used in 17 countries. We found no evidence of variation in stillbirth data quality assessed by SBR:NMR over time for FBH surveys with reproductive calendar, some variation for surveys with FBH in DHS-VII and most variation among the surveys conducted with a FPH. ENMR:NMR ratio increased over time, which may reflect changes in data quality or real epidemiological change. Conclusion DHS remains the major data source for pregnancy outcomes worldwide. Although the DHS model questionnaire has evolved over the last three and half decades, more robust evidence is required concerning optimal methods to obtain accurate data on stillbirths and neonatal deaths through household surveys and also to develop and test standardised data quality criteria.

scholarly journals Maternal mortality in six low and lower-middle income countries from 2010 to 2018: risk factors and trends

2020 ◽  
Vol 17 (S3) ◽  
Author(s):  
Melissa Bauserman ◽  
Vanessa R. Thorsten ◽  
Tracy L. Nolen ◽  
Jackie Patterson ◽  
Adrien Lokangaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Mortality ◽  
Maternal Deaths ◽  
Middle Income ◽  
Maternal Risk ◽  
Live Births ◽  
Middle Income Countries ◽  
Risk Of Death ◽  
Increased Risk ◽  
Over Time

Abstract Background Maternal mortality is a public health problem that disproportionately affects low and lower-middle income countries (LMICs). Appropriate data sources are lacking to effectively track maternal mortality and monitor changes in this health indicator over time. Methods We analyzed data from women enrolled in the NICHD Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry (MNHR) from 2010 through 2018. Women delivering within research sites in the Democratic Republic of Congo, Guatemala, India (Nagpur and Belagavi), Kenya, Pakistan, and Zambia are included. We evaluated maternal and delivery characteristics using log-binomial models and multivariable models to obtain relative risk estimates for mortality. We used running averages to track maternal mortality ratio (MMR, maternal deaths per 100,000 live births) over time. Results We evaluated 571,321 pregnancies and 842 maternal deaths. We observed an MMR of 157 / 100,000 live births (95% CI 147, 167) across all sites, with a range of MMRs from 97 (76, 118) in the Guatemala site to 327 (293, 361) in the Pakistan site. When adjusted for maternal risk factors, risks of maternal mortality were higher with maternal age > 35 (RR 1.43 (1.06, 1.92)), no maternal education (RR 3.40 (2.08, 5.55)), lower education (RR 2.46 (1.54, 3.94)), nulliparity (RR 1.24 (1.01, 1.52)) and parity > 2 (RR 1.48 (1.15, 1.89)). Increased risk of maternal mortality was also associated with occurrence of obstructed labor (RR 1.58 (1.14, 2.19)), severe antepartum hemorrhage (RR 2.59 (1.83, 3.66)) and hypertensive disorders (RR 6.87 (5.05, 9.34)). Before and after adjusting for other characteristics, physician attendance at delivery, delivery in hospital and Caesarean delivery were associated with increased risk. We observed variable changes over time in the MMR within sites. Conclusions The MNHR is a useful tool for tracking MMRs in these LMICs. We identified maternal and delivery characteristics associated with increased risk of death, some might be confounded by indication. Despite declines in MMR in some sites, all sites had an MMR higher than the Sustainable Development Goals target of below 70 per 100,000 live births by 2030. Trial registration The MNHR is registered at NCT01073475.

scholarly journals Immediate postnatal care following childbirth in Ugandan health facilities: an analysis of Demographic and Health Surveys between 2001 and 2016

2021 ◽  
Vol 6 (4) ◽  
pp. e004230
Author(s):  
Teesta Dey ◽  
Sam Ononge ◽  
Andrew Weeks ◽  
Lenka Benova
Keyword(s):  
Postnatal Care ◽  
Health Surveys ◽  
Post Partum ◽  
Quality Care ◽  
Critical Time ◽  
Healthcare Facility ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Changes Over Time ◽  
Over Time

IntroductionProgress in reducing maternal and neonatal mortality, particularly in sub-Saharan Africa, is insufficient to achieve the Sustainable Developmental Goals by 2030. The first 24 hours following childbirth (immediate postnatal period), where the majority of morbidity and mortality occurs, is critical for mothers and babies. In Uganda,<50% of women reported receiving such care. This paper describes the coverage, changes over time and determinants of immediate postnatal care in Uganda after facility births between 2001 and 2016.MethodsWe analysed the 2006, 2011 and 2016 Ugandan Demographic and Health Surveys, including women 15–49 years with most recent live birth in a healthcare facility during the survey 5-year recall period. Immediate postnatal care coverage and changes over time were presented descriptively. Multivariable logistic regression was used to examine determinants of immediate postnatal care.ResultsData from 12 872 mothers were analysed. Between 2006 and 2016, births in healthcare facilities increased from 44.6% (95% CI: 41.9% to 47.3%) to 75.2% (95% CI: 73.4% to 77.0%) and coverage of immediate maternal postnatal care from 35.7% (95% CI 33.4% to 38.1%) to 65.0% (95% CI: 63.2% to 66.7%). The majority of first checks occurred between 1 and 4 hours post partum; the median time reduced from 4 hours to 1 hour. The most important factor associated with receipt of immediate postnatal care was women having a caesarean section birth adjusted OR (aOR) 2.93 (95% CI: 2.28 to 3.75). Other significant factors included exposure to mass media aOR 1.38 (95% CI: 1.15 to 1.65), baby being weighed at birth aOR 1.84 (95% CI: 1.58 to 2.14) and receipt of antenatal care with 4+Antenatal visits aOR 2.34 (95% CI: 1.50 to 3.64).ConclusionIn Uganda, a large gap in coverage remains and universal immediate postnatal care has not materialised through increasing facility-based births or longer length of stay. To ensure universal coverage of high-quality care during this critical time, we recommend that maternal and newborn services should be integrated and actively involve mothers and their partners.

Using survey data: towards valid estimates of poverty in the South

2019 ◽  
pp. 79-90
Author(s):  
Roy Carr-Hill
Keyword(s):  
Developing Countries ◽  
Survey Data ◽  
Health Surveys ◽  
Urban Slums ◽  
Demographic And Health Surveys ◽  
Household Surveys ◽  
Death Registration ◽  
East African ◽  
African Countries ◽  
The World

It is important to be cautious about making inferences from survey data. This chapter focuses on one very important but unexamined problem, that of the undercount of the poorest in the world. This arises both by design (excluding the homeless, those in institutions and nomadic populations) and in practice (those in fragile households, urban slums, insecure areas and servants/slaves in rich households). In developing countries, it is difficult to make inter-censal estimates because essential data like birth and death registration are not systematically collected. Donors have therefore promoted the use of international standardized household surveys. A possible alternative is Citizen surveys initiated by an Indian NGO (Pratham). Comparisons are made between citizen surveys and contemporaneous Demographic and Health Surveys in three East African countries

scholarly journals Neonatal mortality and leading causes of deaths: a descriptive study in China, 2014–2018

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e042654
Author(s):  
Yuxi Liu ◽  
Leni Kang ◽  
Chunhua He ◽  
Lei Miao ◽  
Xiaoqiong Qiu ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Middle Income ◽  
Government Interventions ◽  
Neonatal Deaths ◽  
Live Births ◽  
Urban And Rural Areas

ObjectiveThe present study estimated the national and urban–rural levels and causes of neonatal deaths in China annually between 2014 and 2018 to provide data support for the further end of preventable neonatal deaths for China and other low-income and middle-income countries.MethodsThe study was based on data from the National Maternal and Child Health Surveillance System. All neonates of surveillance districts (gestational week: ≥28 weeks) who died after delivery have been involved in the study. The mortality rate and the leading causes of death for neonates were analysed.ResultsThe neonatal mortality rate (NMR) of China has steadily decreased from 5.9 deaths per 1000 live births in 2014 to 3.9 deaths per 1000 live births in 2018. The NMR in 2018 of urban and rural areas was 2.2 deaths per 1000 live births and 4.7 deaths per 1000 live births, respectively. The leading preventable causes of neonatal deaths are the same in the urban and rural areas were same, which were preterm birth, intrapartum complications and pneumonia. Mortality rates of these three causes fell significantly between 2014 and 2018 but contributed to a higher proportion of deaths in rural areas than urban areas. The proportion of preventable deaths accounted for 74.6% in 2018.ConclusionsThe NMR of China has decreased steadily from 2014 to 2018. However, the inequality between urban and rural areas still exists. The goal of government interventions should be to reduce the health inequality of neonates and further take targeted measures to eliminate preventable neonatal death.

scholarly journals Medical injection and access to sterile injection equipment in low- and middle-income countries: a meta-analysis of Demographic and Health Surveys (2010–2017)

2019 ◽  
Vol 12 (5) ◽  
pp. 388-394
Author(s):  
Emmanuel O Adewuyi ◽  
Asa Auta
Keyword(s):  
Health Surveys ◽  
Meta Analysis ◽  
Healthcare Services ◽  
Demographic And Health Surveys ◽  
Injection Equipment ◽  
Middle Income ◽  
Middle Income Countries ◽  
Unsafe Injection ◽  
Injection Practices ◽  
Low And Middle Income

Abstract Background Unsafe injection practices contribute to increased risks of blood-borne infections, including human immunodeficiency virus, hepatitis B and hepatitis C viruses. The aim of this study was to estimate the prevalence of medical injections as well as assess the level of access to sterile injection equipment by demographic factors in low- and middle-income countries (LMICs). Methods We carried out a meta-analysis of nationally representative Demographic and Health Surveys (DHSs) conducted between 2010 and 2017 in 39 LMICs. Random effects meta-analysis was used in estimating pooled and disaggregated prevalence. All analyses were conducted using Stata version 14 and Microsoft Excel 2016. Results The pooled 12-month prevalence estimate of medical injection was 32.4% (95% confidence interval 29.3–35.6). Pakistan, Rwanda and Myanmar had the highest prevalence of medical injection: 59.1%, 56.4% and 53.0%, respectively. Regionally, the prevalence of medical injection ranged from 13.5% in west Asia to 42.7% in south and southeast Asia. The pooled prevalence of access to sterile injection equipment was 96.5%, with Pakistan, Comoros and Afghanistan having comparatively less prevalence: 86.0%, 90.3% and 90.9%, respectively. Conclusions Overuse of medical injection and potentially unsafe injection practices remain a considerable challenge in LMICs. To stem the tides of these challenges, national governments of LMICs need to initiate appropriate interventions, including education of stakeholders, and equity in access to quality healthcare services.

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