Dhs Maternal Mortality Indicators
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Dhs Maternal Mortality Indicators
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Author : Cynthia Stanton
language : en
Publisher:
Release Date : 1997
Dhs Maternal Mortality Indicators written by Cynthia Stanton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mothers categories.
Comparisons Of Dhs Estimates Of Fertility And Mortality With Other Estimates
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Author : Thomas W. Pullum
language : en
Publisher:
Release Date : 2017
Comparisons Of Dhs Estimates Of Fertility And Mortality With Other Estimates written by Thomas W. Pullum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Demo categories.
DHS surveys provide many indicators that are used for program planning and monitoring. Some of these are particularly sensitive and attract attention when the results of a new survey are released. This methodological report focuses on six demographic indicators of widespread interest: the Total Fertility Rate (TFR), Infant Mortality Rate (IMR), Under-five Mortality Rate (U5MR), the Adult Female Mortality Rate (AFMP), the Adult Male Mortality Probability (AMMP) and the Maternal Mortality Ratio (MMR). It is not unusual for the results of a new survey to be questioned because they differ from another source. The goal of this report is to provide guidance on how to determine whether the estimates of these important indicators are plausible and consistent with other sources, or not plausible. Determining whether a DHS estimate is consistent with other sources is usually a matter of degree. Some differences are expected for a variety of reasons. The report includes a discussion of potential reasons for discrepancies. The report then analyzes 51 surveys conducted since 2010. The DHS estimates are systematically compared with estimates of the TFR, AFMP, and AMMP from the UN Population Division, estimates of the IMR and U5MR from the UN's Inter Agency Group for Child Mortality Estimation (IGME), and MMR estimates from the World Health Organization (WHO). The structure of the comparisons can be applied to other sources, although it is always necessary to account for the potential kinds of differences discussed earlier. Two specific surveys provide focus for the comparisons. The report also illustrates a strategy for comparing fertility rates computed from DHS data with those from other sources. We compare DHS fertility rate estimates with those from Performance Monitoring and Accountability 2020 (PMA2020) surveys, explore the effect of a slightly different methodology for computing rates on DHS estimates, and simulate the effects of a different sampling strategy and rate estimation method on fertility rates. Using a standard methodology, fertility rates computed from PMA2020 data in five countries showed a range of 5% to 22% difference in TFRs and a 4% to 17% difference in adolescent fertility rates compared to results from DHS surveys conducted within a three-year timespan. To assess the effect of alternate measurement on fertility rates from the exact same survey, we used 256 DHS datasets to compare the results of a 2-year 2-birth adjusted estimation technique versus a 3-year n-birth technique with the same data. Our results show an average of only about one percentage point difference in total fertility and adolescent fertility rates from the same data using the alternate technique. In addition to measurement differences, it is important to consider design effects of a different cluster sample. In Ethiopia, we simulated subsamples of DHS data with a cluster distribution similar to a corresponding PMA2020 survey and recomputed fertility rates with a 2-year 2-birth adjusted estimation technique. These combined differences in sampling and methodology produced an average of between 3 to 4% difference in rate estimates but could plausibly produce as much as a 10% difference in TFR and a 23% difference in adolescent fertility rates. Notably, since the PMA2020 cluster sample sizes are larger than those used by DHS, this simulation is likely an overestimate of the effect of sampling differences.
Comparisons Of Dhs Estimates Of Ferility And Mortality With Other Estimates
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Author : Thomas W. Pullum
language : en
Publisher:
Release Date : 2017
Comparisons Of Dhs Estimates Of Ferility And Mortality With Other Estimates written by Thomas W. Pullum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Demographic surveys categories.
DHS surveys provide many indicators that are used for program planning and monitoring. Some of these are particularly sensitive and attract attention when the results of a new survey are released. This methodological report focuses on six demographic indicators of widespread interest: the Total Fertility Rate (TFR), Infant Mortality Rate (IMR), Under-five Mortality Rate (U5MR), the Adult Female Mortality Rate (AFMP), the Adult Male Mortality Probability (AMMP) and the Maternal Mortality Ratio (MMR). It is not unusual for the results of a new survey to be questioned because they differ from another source. The goal of this report is to provide guidance on how to determine whether the estimates of these important indicators are plausible and consistent with other sources, or not plausible. Determining whether a DHS estimate is consistent with other sources is usually a matter of degree. Some differences are expected for a variety of reasons. The report includes a discussion of potential reasons for discrepancies. The report then analyzes 51 surveys conducted since 2010. The DHS estimates are systematically compared with estimates of the TFR, AFMP, and AMMP from the UN Population Division, estimates of the IMR and U5MR from the UN’s Inter Agency Group for Child Mortality Estimation (IGME), and MMR estimates from the World Health Organization (WHO). The structure of the comparisons can be applied to other sources, although it is always necessary to account for the potential kinds of differences discussed earlier. Two specific surveys provide focus for the comparisons. The report also illustrates a strategy for comparing fertility rates computed from DHS data with those from other sources. We compare DHS fertility rate estimates with those from Performance Monitoring and Accountability 2020 (PMA2020) surveys, explore the effect of a slightly different methodology for computing rates on DHS estimates, and simulate the effects of a different sampling strategy and rate estimation method on fertility rates. Using a standard methodology, fertility rates computed from PMA2020 data in five countries showed a range of 5% to 22% difference in TFRs and a 4% to 17% difference in adolescent fertility rates compared to results from DHS surveys conducted within a three-year timespan. To assess the effect of alternate measurement on fertility rates from the exact same survey, we used 256 DHS datasets to compare the results of a 2-year 2-birth adjusted estimation technique versus a 3-year n-birth technique with the same data. Our results show an average of only about one percentage point difference in total fertility and adolescent fertility rates from the same data using the alternate technique. In addition to measurement differences, it is important to consider design effects of a different cluster sample. In Ethiopia, we simulated subsamples of DHS data with a cluster distribution similar to a corresponding PMA2020 survey and recomputed fertility rates with a 2-year 2-birth adjusted estimation technique. These combined differences in sampling and methodology produced an average of between 3 to 4% difference in rate estimates but could plausibly produce as much as a 10% difference in TFR and a 23% difference in adolescent fertility rates. Notably, since the PMA2020 cluster sample sizes are larger than those used by DHS, this simulation is likely an overestimate of the effect of sampling differences.
Levels And Trends Of Maternal And Child Health Indicators In 11 Middle East And North African Countries
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Author : Shireen Assaf
language : en
Publisher:
Release Date : 2017
Levels And Trends Of Maternal And Child Health Indicators In 11 Middle East And North African Countries written by Shireen Assaf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Child health services categories.
This report examines 13 maternal and child health indicators in 11 Middle East and North African countries (Algeria, Egypt, Iraq, Jordan, Lebanon (Palestinian refugees), Libya, Morocco, Syria, Tunisia, West Bank and Gaza Strip, and Yemen), using the most recent nationally representative household surveys carried out since 2005. The data used in the analysis were obtained from 17 surveys from three sources: the Demographic and Health Surveys (DHS), the Multiple Indicator Cluster Surveys (MICS), and the Pan Arab Project for Family Health (PAPFAM). The report highlights the disparities in these indicators by socio-demographic variables, including age, education, wealth quintile, place of residence, and region. A summary is provided.
Assessing The Determinants Of Maternal Mortality In Indonesia
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Author : Atmarita
language : en
Publisher:
Release Date : 1999
Assessing The Determinants Of Maternal Mortality In Indonesia written by Atmarita and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Maternal health services categories.
Disease Control Priorities Third Edition Volume 2
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Author : Robert Black
language : en
Publisher: World Bank Publications
Release Date : 2016-04-11
Disease Control Priorities Third Edition Volume 2 written by Robert Black and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-11 with Medical categories.
The evaluation of reproductive, maternal, newborn, and child health (RMNCH) by the Disease Control Priorities, Third Edition (DCP3) focuses on maternal conditions, childhood illness, and malnutrition. Specifically, the chapters address acute illness and undernutrition in children, principally under age 5. It also covers maternal mortality, morbidity, stillbirth, and influences to pregnancy and pre-pregnancy. Volume 3 focuses on developments since the publication of DCP2 and will also include the transition to older childhood, in particular, the overlap and commonality with the child development volume. The DCP3 evaluation of these conditions produced three key findings: 1. There is significant difficulty in measuring the burden of key conditions such as unintended pregnancy, unsafe abortion, nonsexually transmitted infections, infertility, and violence against women. 2. Investments in the continuum of care can have significant returns for improved and equitable access, health, poverty, and health systems. 3. There is a large difference in how RMNCH conditions affect different income groups; investments in RMNCH can lessen the disparity in terms of both health and financial risk.
Perinatal Mortality
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Author :
language : en
Publisher:
Release Date : 1996
Perinatal Mortality written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Newborn infants categories.
An Assessment Of Dhs Maternal Mortality Data And Estimates
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Author : Saifuddin Ahmed
language : en
Publisher:
Release Date : 2014
An Assessment Of Dhs Maternal Mortality Data And Estimates written by Saifuddin Ahmed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Mothers categories.
Levels And Trends In Maternal And Child Health Disparities By Wealth And Region In Eleven Countries With Dhs Surveys
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Author : Shireen Assaf
language : en
Publisher:
Release Date : 2016
Levels And Trends In Maternal And Child Health Disparities By Wealth And Region In Eleven Countries With Dhs Surveys written by Shireen Assaf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Child health services categories.
This report describes recent levels and trends in 11 maternal and child health (MCH) indicators in 11 countries (Democratic Republic of the Congo, Ghana, Haiti, Indonesia, Kenya, Liberia, Mali, Nigeria, Pakistan, Senegal, and Zambia), using the two most recent DHS surveys from each country. The emphasis is on within-country disparities by wealth quintile and region and how they may have changed. Six measures and a map are used to describe each indicator in each country. One measure is the overall prevalence of the indicator; four measures describe disparities by wealth; and one measure quantifies regional disparities. Maps show the prevalence of the indicator by region in the most recent survey. Wealth and regional inequality scores summarize the measures in the most recent survey. Nigeria, Mali, Haiti, and Pakistan have the highest wealth inequality scores for almost all indicators. Nigeria, Mali, and Pakistan also have high regional inequality scores. Inequality has declined in some countries for some certain indicators, but several other countries have consistently high levels of inequality and little improvement. According to the concentration index for wealth, Mali had significant deterioration for 7 indicators, followed Nigeria, with deterioration for 4 indicators. Most of the significant improvements were in Ghana, Indonesia, and Liberia, where 6 indicators improved significantly. Despite some limitations, this report may help in planning and focusing interventions to improve both the level and equality of maternal and child health. For each country, health care interventions could be prioritized by specific indicators, wealth quintiles, or regions identified as having the most need.
When Quality Matters
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Author : Sarah Elizabeth Bradley
language : en
Publisher:
Release Date : 2016
When Quality Matters written by Sarah Elizabeth Bradley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
In countries without reliable vital registration systems - the majority of low- and middle-income countries - most vital statistical estimates are based on nationally representative household survey data. Such surveys are usually implemented under the USAID-funded Demographic and Health Surveys (DHS) project. Because DHS data are so widely used, the quality of these data is paramount to enable countries to monitor their population growth and health and track progress towards international development goals. This dissertation aims to provide a careful, detailed interrogation of DHS data quality in the areas of fertility, child mortality, and contraceptive use. The first chapter examines linkages between questionnaire length and data quality. I analyze 238 DHS Surveys to ascertain whether changes in the DHS survey instrument - predominantly increases in length and complexity of the core questionnaire over time - have led to poorer data quality and thus biased fertility and child mortality rates. I explain the likely causes and consequences of one measure of data quality: birth displacement, disaggregated by child survival status. I examine differences in displacement by DHS survey characteristics, including the average number of non-missing variables per woman interviewed in each survey (a proxy measure of questionnaire length) and modules including HIV biomarker testing. Results indicate substantial birth displacement in the majority of DHS surveys, and disproportionate displacement of dead children compared to surviving children. Increases in birth displacement, and differential displacement of deceased children, are associated with increases in questionnaire length. This differential displacement likely biases recent estimates of infant and under-five mortality rates downward which in turn overestimates recent declines in these indicators. The second chapter focuses on the quality data acquired through one section of the DHS questionnaire: the reproductive calendar, in which women are asked to recall their births, pregnancies, terminations, and episodes of contraceptive use for the last 5-7 years. I compare retrospective contraceptive prevalence rates (CPR) tabulated from the calendar to independently estimated current status CPR from a prior survey for the same point in time among women in the same age groups. The chapter compares estimates of the total CPR as well as the prevalence of each specific contraceptive method for 106 pairs of surveys conducted in 37 countries. I find that calendar data appear to underestimate contraceptive use in most comparisons, often substantially. Total contraceptive prevalence is reported at statistically significantly different levels in 74 percent of survey pairs analyzed. The average difference in CPR was 4.1 percentage points, resulting in an average discrepancy of 15 percent between the current use CPR and that estimated from retrospective calendar data for the same point in time. The third chapter builds on the findings from Chapter 2, using the comparisons between retrospective calendar data and current status data and other data quality indicators, to select 16 surveys in which reproductive calendar data appear to be reliable. Contraceptive use data from these 16 countries were pooled together for a sample of 140,529 episodes of contraceptive use collected from 97,094 women's reproductive histories. I use this pooled dataset to estimate cumulative 12-month contraceptive failure rates for each of the most widely-used contraceptive methods. Correlates of contraceptive failure are examined using multilevel survival models. I find that contraceptive failure rates are generally higher when calculated from surveys with reliable data compared to median estimates across all DHS surveys, suggesting that surveys with unreliable calendars underestimate contraceptive failure rates. Contraceptive failure rates vary widely by age, with adolescent women experiencing the highest failure rates. Failure also appears associated with socio-economic status, suggesting that the youngest and poorest women are at highest risk of experiencing unintended pregnancy.