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Publication Years
666
2322
289
7
1
Category
1861
178
158
138
131
52
17
2
1
Toolboxes
236
196
177
115
109
95
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46
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29
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24
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13
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2
National Family Health Survey (NFHS-5) West Bengal
International Institute for Population Sciences
Ministry of Health and Family Welfare India
(2021)
CC
This report presents the key findings of the NFHS-5 in West Bengal, followed by detailed tables and an appendix on sampling errors. At the time of finalization of this report, wealth quintiles for the country as a whole were not ready. Therefore, on finalization of the national report, the breakup o
...
f key indicators by wealth quintiles for all states will be provided as an additional document and uploaded on the official website of MoHFW and IIPS.
more
Tanzania Demographic and Health Survey
National Bureau of Statistics
inistry of Health and Social Welfare (MoHSW), Tanzania Food and Nutrition Centre (TFNC), et al.
(2011)
C1
Survey report
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Baluk ... hali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days. more
Four health surveys were performed in Kutupalong Makeshift Settlment (KMS), Balukhali Makeshift Settlement (BMS), Kutupalong Makeshift Settlement Extension (KMS Extension) and Baluk ... hali Makeshift Settlement Extension (BMS Extension). These sites were chosen to ensure that the health status and conditions were measured in both the new settlements and the pre-existing settlements. The surveys measured current and retrospective mortality, the main morbidities affecting the population, global and severe acute malnutrition rates, vaccination coverage rates for key antigens and health-seeking behaviour. Simple random sampling was used with a recall period from 25th February 2017 until the date of interview (30th October to 12th November): approximately 260 days. more
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally us ... ed additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally us ... ed additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index. more
This report provides an overview of the Key findings of the Rwanda 2014-2015 Demographic and Health Survey (RDHS). The 2014-15 Rwanda Demographic and Hea
...
lth Survey (RDHS) was designed to provide data for monitoring the population and health situation in Rwanda. The 2014-15 RDHS is the fifth Demographic and Health Survey
conducted in Rwanda since 1992. The objective of the survey was to provide reliable estimates of fertility levels, marriage, sexual activity, fertility preferences, family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, early childhood development, malaria, domestic violence, and HIV/AIDS and other sexually transmitted infections (STIs) that can be used by program managers and policymakers to evaluate and improve existing programs.
more
The results of a WHO survey conducted to assess the impact of the COVID-19 pandemic on up to 25 essential health services in countries show disruptions of essential
...
health services in nearly all countries, and more so in lower-income than higher-income countries. The great majority of service disruptions were partial, which was defined as a change of 5–50% in service provision or use.
more
This Key Indicators report presents selected findings of the 2019 EMDHS. A comprehensive analysis of the data will be publishedin a final report in 2019.T he primary objective of the 2019 EMDHS project is to provide up-to-date estimates of key demographic and
...
health indicators.
more
BMC Health Services Research (2019) 19:458 https://doi.org/10.1186/s12913-019-4315-7
Family Planning Realities Among Faith-Based Medical Bureaus in Uganda
Laura Wando, MPH; Amy Metzger, MPH; Douglas Huber, MD, MSc; Judith Brown, PhD; Moses Muwonge, MD
Christian Connections for International Health (CCIH), USAID
(2013)
C1
Christian Connections for International Health (CCIH), a U.S.-
based nonprofit membership organization commissioned a
Family Planning (FP) survey of faith-based
...
facility-based private
not-for-profit (FB-PNFP) health facilities in Uganda in 2013.
Country-wide health facilities of the Uganda Orthodox Church
Medical Bureau (UOMB), the Uganda Muslim Medical Bureau
(UMMB), the Uganda Catholic Medical Bureau (UCMB), and the
Uganda Protestant Medical Bureau (UPMB) were contacted by
phone and interviewed with established questions related to
family planning, contraceptive security, maternal and newborn
health.
more