Frontiers in Pediatrics | www.frontiersin.org
1 April 2019 | Volume 7 | Article 159
March 2018, Vol. 108, (3 Suppl 1)
2018
Vol.5 No.2:73
DOI: 10.21767/2254-9137.100092
Health Systems and Policy Research ISSN 2254-9137
EClinicalMedicine 1 (2018) 21–27
https://doi.org/10.1016/j.eclinm.2018.06.005
2589-5370/© 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
EClinicalMedicine: journal homepage: https://www.jo...urnals.elsevier.com/ eclinicalmedicine
Research Paper
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BMC Public Health, Volume 18, Article number: 303 (2018)
https://doi.org/10.1186/s12889-018-5208-0
Published: 02 March 2018
Journal of Infection and Public Health 12 (2019) 213–223
The guide helps network managers and technical experts navigate the steps necessary for gathering, structuring, analyzing and reporting information needed to make strategic plans that improve sustainability and equity.
InternatIonal Journal of adolescence and Youth
2019, Vol. 24, No. 3, 362–379
https://doi.org/10.1080/02673843.2018.1479278
Harm Reducation, Decriminalization and Zero Discrimination for People who use Drugs
This study aimed to understand the patterns of HIV drug resistance in pregnant women in Mozambique. This might help in tailoring optimal regimens for prevention of mother to child transmission of HIV (pMTCT) and antenatal care.
Version-1, June 2018
This document provides 3MDG stakeholders with essential information on SRHR indicators, derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoHA), A Guide to Monitoring and Evaluating Adolescent Reproductive Health Progra...ms (MEASURE Evaluation, June 2000) and Monitoring National Cervical Cancer Prevention and Control Programmes (WHO, PAHO, 2013). Partners are strongly encouraged to integrate the SRHR indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated.
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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.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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The UNFPA Zambia 2017 Annual Report highlights key milestones and achievements recorded with UNFPA support towards improving the health and well-being of women and young people in Zambia.
Tuberculosis cases, TB deaths