Time trends, geographical, socio-economic, and gender disparities in neonatal mortality in Burundi: evidence from the demographic and health surveys, 2010–2016

Abstract Background Programmatic and research agendas surrounding neonatal mortality are important to help countries attain the child health related 2030 Sustainable Development Goal (SDG). In Burundi, the Neonatal Mortality Rate (NMR) is 25 per 1000 live births. However, high quality evidence on the over time evolution of inequality in NMR is lacking. This study aims to address the knowledge gap by systematically and comprehensively investigating inequalities in NMR in Burundi with the intent to help the country attain SDG 3.2 which aims to reduce neonatal mortality to at least as low as 12 per 1000 live births by 2030. Methods The Burundi Demographic and Health Survey (BDHS) data for the periods of 2010 and 2016 were used for the analyses. The analyses were carried out using the WHO’s HEAT version 3.1 software. Five equity stratifiers: economic status, education, residence, sex and subnational region were used as benchmark for measuring NMR inequality with time over 6 years. To understand inequalities from a broader perspective, absolute and relative inequality measures, namely Difference, Population Attributable Risk (PAR), Ratio, and Population Attributable Fraction (PAF) were calculated. Statistical significance was measured by computing corresponding 95% Confidence Intervals (CIs). Results NMR in Burundi in 2010 and 2016 were 36.7 and 25.0 deaths per 1000 live births, respectively. We recorded large wealth-driven (PAR = -3.99, 95% CI; − 5.11, − 2.87, PAF = -15.95, 95% CI; − 20.42, − 11.48), education related (PAF = -6.64, 95% CI; − 13.27, − 0.02), sex based (PAR = -1.74, 95% CI; − 2.27, − 1.21, PAF = -6.97, 95% CI; − 9.09, − 4.86), urban-rural (D = 15.44, 95% CI; 7.59, 23.29, PAF = -38.78, 95% CI; − 45.24, − 32.32) and regional (PAR = -12.60, 95% CI; − 14.30, − 10.90, R = 3.05, 95% CI; 1.30, 4.80) disparity in NMR in both survey years, except that urban-rural disparity was not detected in 2016. We found both absolute and relative inequalities and significant reduction in these inequalities over time - except at the regional level, where the disparity remained constant during the study period. Conclusion Large survival advantage remains to neonates of women who are rich, educated, residents of urban areas and some regions. Females had higher chance of surviving their 28th birthday than male neonates. More extensive work is required to battle the NMR gap between different subgroups in the country.

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Regional variations and socio-economic disparities in neonatal mortality in Angola: a cross-sectional study using demographic and health surveys

Family Practice ◽

10.1093/fampra/cmaa083 ◽

2020 ◽

Vol 37 (6) ◽

pp. 785-792

Author(s):

Sanni Yaya ◽

Betregiorgis Zegeye ◽

Bright Opoku Ahinkorah ◽

Olanrewaju Oladimeji ◽

Gebretsadik Shibre

Keyword(s):

Neonatal Mortality ◽

Rural Areas ◽

Formal Education ◽

Statistical Significance ◽

Population Attributable Risk ◽

Population Attributable Fraction ◽

World Health ◽

Demographic And Health Surveys ◽

Gender Inequalities ◽

Cross Sectional

Abstract Background Inequalities in neonatal mortality rates (NMRs) in low- and middle-income countries show key disparities at the detriment of disadvantaged population subgroups. There is a lack of scholarly evidence on the extent and reasons for the inequalities in NMRs in Angola. Objective The aim of this study was to assess the socio-economic, place of residence, region and gender inequalities in the NMRs in Angola. Methods The World Health Organization Health Equity Assessment Toolkit software was used to analyse data from the 2015 Angola Demographic and Health Survey. Five equity stratifiers: subnational regions, education, wealth, residence and sex were used to disaggregate NMR inequality. Absolute and relative inequality measures, namely, difference, population attributable fraction (PAF), population attributable risk (PAR) and ratio, were calculated to provide a broader understanding of the inequalities in NMR. Statistical significance was calculated at corresponding 95% uncertainty intervals. Findings We found significant wealth-driven [PAR = −14.16, 95% corresponding interval (CI): −15.12, −13.19], education-related (PAF = −22.5%, 95% CI: −25.93, −19.23), urban–rural (PAF = −14.5%, 95% CI: −16.38, −12.74), sex-based (PAR = −5.6%, 95% CI: −6.17, −5.10) and subnational regional (PAF = −82.2%, 95% CI: −90.14, −74.41) disparities in NMRs, with higher burden among deprived population subgroups. Conclusions High NMRs were found among male neonates and those born to mothers with no formal education, poor mothers and those living in rural areas and the Benguela region. Interventions aimed at reducing NMRs, should be designed with specific focus on disadvantaged subpopulations.

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Observed magnitude and trends in socioeconomic and geographic area inequalities in obesity prevalence among non-pregnant women in Chad: evidence from three waves of Chad demographic and health surveys

Archives of Public Health ◽

10.1186/s13690-021-00658-5 ◽

2021 ◽

Vol 79 (1) ◽

Author(s):

Gebretsadik Shibre ◽

Betregiorgis Zegeye ◽

Gashaw Garedew Woldeamanuiel ◽

Wassie Negash ◽

Gorems Lemma ◽

...

Keyword(s):

Pregnant Women ◽

Health Surveys ◽

Population Attributable Risk ◽

Population Attributable Fraction ◽

Overweight And Obesity ◽

World Health ◽

Demographic And Health Surveys ◽

Obesity Prevalence ◽

Place Of Residence ◽

Urban Rural

Abstract Background While the prevalence of obesity is increasing worldwide, the growing rates of overweight and obesity in developing countries are disquieting. Obesity is widely recognized as a risk factor for non-communicable diseases (NCDs), including diabetes, cancer and cardiovascular diseases. Available evidence on whether obesity has been more prevalent among higher or lower socioeconomic groups, across regions and urban-rural women’s are inconsistent. This study examined magnitude of and trends in socioeconomic, urban-rural and sub-national region inequalities in obesity prevalence among non-pregnant women in Chad. Method Using cross-sectional data from Chad Demographic and Health Surveys (DHSs) conducted in 1996, 2004 and 2014; we used the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) to analyze socio-economic, urban-rural and regional inequalities in obesity prevalence among non-pregnant women aged 15–49 years. Inequalities were assessed using four equity stratifiers namely wealth index, educational level, place of residence and subnational region. We presented inequalities using simple and complex as well as relative and absolute summary measures such as Difference (D), Population Attributable Risk (PAR), Population Attributable Fraction (PAF) and Ratio (R). Results Though constant pattern overtime, both wealth-driven and place of residence inequality were observed in all three surveys by Difference measure and in the first and last surveys by Ratio measure. Similarly, including the recent survey (D = -2.80, 95% CI:-4.15, − 1.45, R = 0.37, 95% CI: 0.23, 0.50) absolute (in 1996 & 2014 survey) and relative (in all three surveys) educational status inequality with constant pattern were observed. Substantial absolute (PAR = -2.2, 95% CI: − 3.21, − 1.34) and relative (PAF = − 91.9, 95% CI: − 129.58, − 54.29) regional inequality was observed with increasing and constant pattern by simple (D) and complex (PAR, PAF) measures. Conclusion The study showed socioeconomic and area-based obesity inequalities that disfavored women in higher socioeconomic status and residing in urban areas. Prevention of obesity prevalence should be government and stakeholders’ priority through organizing the evidence, health promotion and prevention interventions for at risk population and general population.

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Trends in inequalities in childhood stunting in Ethiopia from 2000 to 2016: a cross sectional study

Journal of Public Health ◽

10.1093/pubmed/fdaa051 ◽

2020 ◽

Author(s):

Betregiorgis Zegeye ◽

Gebretsadik Shibre ◽

Dina Idriss-Wheeler ◽

Sanni Yaya

Keyword(s):

Rural Areas ◽

Economic Status ◽

Statistical Significance ◽

Population Attributable Risk ◽

Cross Sectional Study ◽

World Health ◽

Demographic And Health Surveys ◽

Uncertainty Interval ◽

Cross Sectional ◽

Agenda 2030

Abstract Background The decrease in the magnitude of stunting over the past 20 years has been slow in Ethiopia. To date, in Ethiopia, the trends in and extent of inequality in stunting have not been investigated using methods suitably developed for disparity studies. This paper investigated both the extent and overtime dynamics of stunting inequality in Ethiopia over the last 17 years. Methods Using the World Health Organization’s Health Equity Assessment Toolkit software, data from the Ethiopia Demographic and Health surveys (EDHS) were analyzed between 2000 and 2016. The inequality analysis consisted of disaggregated rates of stunting using five equity stratifiers (economic status, education, residence, region and sex) and four summary measures (Difference, Population Attributable risk, Ratio and Absolute Concentration Index). A 95% uncertainty interval was constructed around point estimates to measure statistical significance. Results The study showed that both absolute and relative inequalities in stunting exist in all the studied years in Ethiopia. The inequality disfavors children of mothers who are poor, uneducated and living in rural areas and specific regions such as Amhara. The pro-rich (R = 1.2; 1.1, 1.3 in 2000 to R = 1.7; 1.4, 2 in 2016) and pro-educated (R = 1.6; 95%UI = 1.3, 1.9 in 2000 and R = 2.3; 95%UI = 1.5, 3 in 2011) inequalities slightly increased with time. Male children bear a disproportionately higher burden of stunting, and the disparity increased between the first and the last time points (PAR = −1.5 95%UI = −2.5, −0.6 in 2000 and PAR = −2.9 95%UI = −3.9, −1.9) based on complex measures but remained constant with simple measures (R = 1; 95%UI = 0.9, 1.1 in 2000 and R = 1.1 95%UI = 1, 1.2 in 2016). Similarly, both the sub-national regional and residence-related stunting disparities generally widened over time according to some of the inequality measures. Conclusions Stunting appeared to be highly prevalent among certain sub-groups (i.e. poor, uneducated and living in rural regions). The subpopulations experiencing excessively high stunting prevalence should be the focus of policy makers’ attention as they work to achieve the WHO 40% reduction in stunting target by 2025 and the UN Agenda 2030 for Sustainable Development Goals.

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Sub-regional disparities in the use of antenatal care service in Mauritania: findings from nationally representative demographic and health surveys (2011–2015)

BMC Public Health ◽

10.1186/s12889-021-11836-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Gebretsadik Shibre ◽

Betregiorgis Zegeye ◽

Bright Opoku Ahinkorah ◽

Dina Idriss-Wheeler ◽

Mpho Keetile ◽

...

Keyword(s):

Antenatal Care ◽

Maternal Mortality ◽

Statistical Significance ◽

Maternal Mortality Ratio ◽

Population Attributable Risk ◽

Population Attributable Fraction ◽

Regional Disparities ◽

World Health ◽

Demographic And Health Surveys ◽

Mortality Ratio

Abstract Background Skilled antenatal care (ANC) has been identified as a proven intervention to reducing maternal deaths. Despite improvements in maternal health outcomes globally, some countries are signaling increased disparities in ANC services among disadvantaged sub-groups. Mauritania is one of sub-Saharan countries in Africa with a high maternal mortality ratio. Little is known about the inequalities in the country’s antenatal care services. This study examined both the magnitude and change from 2011 to 2015 in socioeconomic and geographic-related disparities in the utilization of at least four antenatal care visits in Mauritania. Methods Using the World Health Organization’s Health Equity Assessment Toolkit (HEAT) software, data from the 2011 and 2015 Mauritania Multiple Indicator Cluster Surveys (MICS) were analyzed. The inequality analysis consisted of disaggregated rates of antenatal care utilization using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population attributable risk, Ratio and Population attributable fraction). A 95% Uncertainty Interval was constructed around point estimates to measure statistical significance. Results Substantial absolute and relative socioeconomic and geographic related disparities in attending four or more ANC visits (ANC4+ utilization) were observed favoring women who were richest/rich (PAR = 19.5, 95% UI; 16.53, 22.43), educated (PAF = 7.3 95% UI; 3.34, 11.26), urban residents (D = 19, 95% UI; 14.50, 23.51) and those living in regions such as Nouakchott (R = 2.1, 95% UI; 1.59, 2.56). While education-related disparities decreased, wealth-driven and regional disparities remained constant over the 4 years of the study period. Urban-rural inequalities were constant except with the PAR measure, which showed an increasing pattern. Conclusion A disproportionately lower ANC4+ utilization was observed among women who were poor, uneducated, living in rural areas and regions such as Guidimagha. As a result, policymakers need to design interventions that will enable disadvantaged subpopulations to benefit from ANC4+ utilization to meet the Sustainable Development Goal (SDG) of reducing the maternal mortality ratio (MMR) to 140/100, 000 live births by 2030.

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A growing disadvantage of being born in an urban area? Analysing urban–rural disparities in neonatal mortality in 21 African countries with a focus on Tanzania

BMJ Global Health ◽

10.1136/bmjgh-2021-007544 ◽

2022 ◽

Vol 7 (1) ◽

pp. e007544

Author(s):

Megan Norris ◽

Gonnie Klabbers ◽

Andrea B Pembe ◽

Claudia Hanson ◽

Ulrika Baker ◽

...

Keyword(s):

Neonatal Mortality ◽

Rural Areas ◽

Urban Areas ◽

Maternal Education ◽

Health Seeking ◽

African Countries ◽

Live Births ◽

Urban Rural ◽

Ssa Countries

IntroductionNeonatal mortality rate (NMR) has been declining in sub-Saharan African (SSA) countries, where historically rural areas had higher NMR compared with urban. The 2015–2016 Demographic and Health Survey (DHS) in Tanzania showed an exacerbation of an existing pattern with significantly higher NMR in urban areas. The objective of this study is to understand this disparity in SSA countries and examine the specific factors potentially underlying this association in Tanzania.MethodsWe assessed urban–rural NMR disparities among 21 SSA countries with four or more DHS, at least one of which was before 2000, using the DHS StatCompiler. For Tanzania DHS 2015–2016, descriptive statistics were carried out disaggregated by urban and rural areas, followed by bivariate and multivariable logistic regression modelling the association between urban/rural residence and neonatal mortality, adjusting for other risk factors.ResultsAmong 21 countries analysed, Tanzania was the only SSA country where urban NMR (38 per 1000 live births) was significantly higher than rural (20 per 1,000), with largest difference during first week of life. We analysed NMR on the 2015–2016 Tanzania DHS, including live births to 9736 women aged between 15 and 49 years. Several factors were significantly associated with higher NMR, including multiplicity of pregnancy, being the first child, higher maternal education, and male child sex. However, their inclusion did not attenuate the effect of urban–rural differences in NMR. In multivariable models, urban residence remained associated with double the odds of neonatal mortality compared with rural.ConclusionThere is an urgent need to understand the role of quality of facility-based care, including role of infections, and health-seeking behaviour in case of neonatal illness at home. However, additional factors might also be implicated and higher NMR within urban areas of Tanzania may signal a shift in the pattern of neonatal mortality across several other SSA countries.

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Inequalities in Stunting Prevalence Among Children Under Age 5 in Ghana Between 1998 and 2014

10.21203/rs.3.rs-151172/v1 ◽

2021 ◽

Author(s):

Collins Adu ◽

Edward Kwabena Ameyaw ◽

Pascal Agbadi ◽

Ebenezer Agbaglo ◽

Justice Kanor Tetteh ◽

...

Keyword(s):

Statistical Significance ◽

Population Attributable Risk ◽

Population Attributable Fraction ◽

Wealth Index ◽

Northern Region ◽

World Health ◽

Demographic And Health Surveys ◽

Children Under Five ◽

Under Five ◽

Summary Measures

Abstract BackgroundOver the years, Ghana has made significant improvements in the nutritional status of children, particularly concerning stunting. Though these improvements are commendable, there are concerns of inequalities in the prevalence of stunting among children under five. To this end, we examined the trends and inequalities in the determinants of stunting prevalence in children under five in Ghana, throughout 1998-2014.MethodsUsing the World Health Organization’s (WHO) Health Equity Assessment Toolkit (HEAT) software, we analysed data from the 1998-2014 Ghana Demographic and Health Surveys (GDHS). We approached the inequality analysis in two steps. First, we disaggregated stunting prevalence among children < 5 years by five equity stratifiers: wealth index, education, sex, residence, and region. Second, we measured the inequality through summary measures, namely Difference, Population Attributable Risk, Ratio, and Population Attributable Fraction. A 95% confidence interval was constructed for point estimates to measure statistical significance.ResultsConcerning economic status, only the simple summary measures (Difference [D], Ratio [R]) showed significant inequality in stunting. For instance, both D (23.40; 17.55-29.25) and R (2.43; 1.78-3.09) revealed substantial economic variation in stunting in 1998 and the same trend was noted across all the survey years. The complex summary measures, however, showed a significant but negative association. Both D (16.36; 12.13-20.60) and R (1.90; 1.51-2.28) revealed a positive significant disparity in favour of urban residents in 1998. The simple measures further indicated a significant disparity in stunting at the detriment of male children throughout the period studied. Finally, a significant disparity at the expense of children in the Northern Region was evident in 1998 (D=31.00; R=3.22), 2003 (D=37.21; R=3.17) and 2014 (D=22.73; R=3.19).ConclusionInequalities in stunting prevalence in Ghana is to the disadvantaged children of poorest wealth quintile, mothers with no formal education, male children, rural residents and the Northern Region of Ghana. We recommend the introduction and strengthening of equitable interventions focusing on nutrition on sub-populations in the country who suffer from a higher burden of stunting.

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Time trends in socio-economic, urban-rural and regional disparities in prevalence of obesity among non-pregnant women in Lesotho: evidence from Lesotho demographic and health surveys (2004–2014)

BMC Public Health ◽

10.1186/s12889-021-10571-9 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Betregiorgis Zegeye ◽

Gebretsadik Shibre ◽

Gashaw Garedew Woldeamanuel

Keyword(s):

Pregnant Women ◽

Health Surveys ◽

Educational Inequality ◽

Statistical Significance ◽

World Health ◽

Demographic And Health Surveys ◽

Obesity Prevalence ◽

Urban Rural ◽

Prevalence Of Obesity ◽

Health Organization

Abstract Background The growing rates of obesity in developing countries are alarming. There is a paucity of evidence about disparities of obesity in Lesotho. This study examined socioeconomic and area-based inequalities in obesity among non-pregnant women in Lesotho. Methods Data were extracted from the 2004, 2009 and 2014 Lesotho Demographic and Health Surveys (LDHS) and analyzed through the recently updated Health Equity Assessment Toolkit (HEAT) of the World Health Organization. Obesity prevalence was disaggregated by four equity stratifiers, namely education, wealth, residence and sub-national region. For each equity stratifier, simple and complex as well as relative and absolute summary measures were calculated. A 95% confidence interval was used to measure statistical significance of findings. Results We noticed substantial wealth-driven (D = -21.10, 95% CI; − 25.94, − 16.26), subnational region (PAR = -11.82, 95%CI; − 16.09, − 7.55) and urban-rural (− 9.82, 95% CI; − 13.65, − 5.99) inequalities in obesity prevalence without the inequalities improved over time in all the studied years. However, we did not identify educational inequality in obesity. Conclusions Wealth-driven and geographical inequalities was identified in Lesotho in all the studied time periods while education related inequalities did not appear during the same time period. All population groups in the country need to be reached with interventions to reduce the burden of obesity in the country.

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Urban–Rural Disparities in the Magnitude and Determinants of Stunting among Children under Five in Tanzania: Based on Tanzania Demographic and Health Surveys 1991–2016

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18105184 ◽

2021 ◽

Vol 18 (10) ◽

pp. 5184

Author(s):

Wenjun Zhu ◽

Si Zhu ◽

Bruno F. Sunguya ◽

Jiayan Huang

Keyword(s):

Urban Areas ◽

Health Surveys ◽

Demographic And Health Surveys ◽

Household Level ◽

Individual Level ◽

Child Stunting ◽

Rural And Urban Areas ◽

Rural And Urban ◽

Urban Rural ◽

The Individual

Our study aims to examine the disparity of under-5 child stunting prevalence between urban and rural areas of Tanzania in the past three decades, and to explore factors affecting the rural–urban disparity. Secondary analyses of Tanzania Demographic and Health Surveys (TDHS) data drawn from 1991–1992, 1996, 1999, 2004–2005, 2009–2010, and 2015–2016 surveys were conducted. Under-5 child stunting prevalence was calculated separately for rural and urban children and its decline trends were examined by chi-square tests. Descriptive analyses were used to present the individual-level, household-level, and societal-level characteristics of children, while multivariable logistic regression analyses were performed to examine determinants of stunting in rural and urban areas, respectively. Additive interaction effects were estimated between residence and other covariates. The results showed that total stunting prevalence was declining in Tanzania, but urban–rural disparity has widened since the decline was slower in the rural area. No interaction effect existed between residence and other determinants, and the urban–rural disparity was mainly caused by the discrepancy of the individual-level and household-level factors between rural and urban households. As various types of determinants exist, multisector nutritional intervention strategies are required to address the child stunting problem. Meanwhile, the intervention should focus on targeting vulnerable children, rather than implementing different policies in rural and urban areas.

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

BMJ Open ◽

10.1136/bmjopen-2020-042654 ◽

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.

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

Population Health Metrics ◽

10.1186/s12963-020-00225-0 ◽

2021 ◽

Vol 19 (S1) ◽

Cited By ~ 3

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.

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