2018
Vol.5 No.2:73
DOI: 10.21767/2254-9137.100092
Health Systems and Policy Research ISSN 2254-9137
Supplement Article
www.jaids.com J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018
Supplement Article
J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018 www.jaids.com
Supplement Article
J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018 www.jaids.com
J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018
International Journal of Infectious Diseases 70 (2018) 121–130
https://doi.org/10.1016/j.ijid.2018.03.007
1201-9712/© 2018 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://cr...eativecommons.org/licenses/by-nc-nd/4.0/).
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Healthy me, healthy us: a guide for community members about good health and staying healthy with chronic illness
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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Meeting Report
27–30 June 2017 Manila, Philippines
BMC Public Health, Volume 18, Article number: 303 (2018)
https://doi.org/10.1186/s12889-018-5208-0
Published: 02 March 2018
Journal of Virus Eradication 2018; 4 (Supplement 2): 33–39
In eastern and southern Africa
#EndAdolescentAIDS
July 2018
- A global call to action
- Case studies
- Blogs
- Next steps
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.
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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