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1
DHS ANALYTICAL STUDIES 56
Bangladesh, Cambodia, India, Indonesia, Nepal, Pakistan, Philippines
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
DHS Working Papers No. 91
DHS Analytical Studies No. 36
DHS Further Analysis Reports No. 103
DHS Working Papers No. 120
This report presents the findings of the Estimating the Size of Populations through a Household Survey (ESPHS) study that took place in 2011. The study utilized a single household survey to estimate the size of several key populations, including sex workers, men who have sex with men (MSM), injectin
...
g drug users (IDU), and clients of sex workers. These populations include several groups outlined in the National Strategic Plan for HIV and AIDS as most at risk for HIV infection, specifically sex workers and MSM.
more
The 2007 Rwanda Service Provision Assessment (RSPA) was a national representative survey conducted in 538 health facilities throughout Rwanda. The survey covered hospitals, health centers, dispensaries and
health posts, including all public facilities such as government and government-assisted heal
...
th facilities. The 2007 RSPA used interviews with health service providers and clients and observations of provider client consultations to obtain information on the capacity of facilities to provide quality services and the existence of functioning systems to support quality services. The areas addressed were the overall facility
infrastructure, maternal and child health, reproductive health, tuberculosis, malaria services; and services for sexually transmitted infections and HIV/AIDS. The objective was to assess the strengths and
weaknesses of the infrastructure and systems supporting these services, and to assess the adherence to standards in the delivery of services.
more
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine | The aim of this study was to explore the risk factors for stillbirth and neonatal death and change in perinatal outcomes after the introduction of helping Babies Breathe Quality Improvement Cycle in Nepal.
The 2015-16 MDHS is a national sample survey that provides up-to-date information on fertility levels; marriage; fertility preferences; awareness and use of family planning methods; child feeding practices; nutrition; adult and childhood mortality; awareness and attitudes regarding HIV/AIDS; women
...
s empowerment; and domestic violence. The target groups were women and men age 15-49 residing in randomly selected households across the country. In addition to national estimates, the report provides estimates of key indicators for both urban and rural areas in Myanmar and also for the 15 states and regions.
more
Albania - Demographic and Health Survey
Institute of Statistics Institute of Public Health; Schweizerische Eidgenossenschaft; UNFPA; UN Women; Unicef; et al.
(2018)
C2
2017-2018
Republic of Albania
Tajikistan - Demographic and Health Survey 2017
Republic of Tajikistan; USAID; Unicef; UNFPA; TAJSTAN
(2018)
C2
Statistical Agency under the President of the Republic of Tajikistan Dushanbe, Republic of Tajikistan
Ministry of Health and Social Protection of Population of the Republic of Tajikistan
Dushanbe, Republic of Tajikistan
The DHS Program ICF
Rockville, Maryland, USA
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s
...
tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
more
Community Health Volunteers' Decision Support System Project
P. Bakibinga, Kamande E. , Kisia L., et al.
African Population and Health Research Centre APHRC
(2018)
C1
This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re
...
port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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Final Report
