Association Between Antenatal Care and Child Mortality: A Survival Analysis From 70 Low and Middle-Income Countries Using the ANCq Content-Qualified Coverage Indicator

2021 ◽  
Author(s):  
Luisa Arroyave ◽  
Ghada E. Saad ◽  
Aluisio Barros
Keyword(s):  
Survival Analysis ◽  
Antenatal Care ◽  
Child Mortality ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

scholarly journals Predictors of Contemporary under-5 Child Mortality in Low- and Middle-Income Countries: A Machine Learning Approach

2021 ◽  
Vol 18 (3) ◽  
pp. 1315
Author(s):  
Andrea Bizzego ◽  
Giulio Gabrieli ◽  
Marc H. Bornstein ◽  
Kirby Deater-Deckard ◽  
Jennifer E. Lansford ◽  
...  
Keyword(s):  
Machine Learning ◽  
Child Mortality ◽  
Learning Approach ◽  
Unique Contribution ◽  
Middle Income ◽  
Middle Income Countries ◽  
Country Level ◽  
Machine Learning Approach ◽  
Operational Information ◽  
Low And Middle Income

Child Mortality (CM) is a worldwide concern, annually affecting as many as 6.81% children in low- and middle-income countries (LMIC). We used data of the Multiple Indicators Cluster Survey (MICS) (N = 275,160) from 27 LMIC and a machine-learning approach to rank 37 distal causes of CM and identify the top 10 causes in terms of predictive potency. Based on the top 10 causes, we identified households with improved conditions. We retrospectively validated the results by investigating the association between variations of CM and variations of the percentage of households with improved conditions at country-level, between the 2005–2007 and the 2013–2017 administrations of the MICS. A unique contribution of our approach is to identify lesser-known distal causes which likely account for better-known proximal causes: notably, the identified distal causes and preventable and treatable through social, educational, and physical interventions. We demonstrate how machine learning can be used to obtain operational information from big dataset to guide interventions and policy makers.

scholarly journals Inferring antenatal care visit timing in low- and middle-income countries: Methods to inform potential maternal vaccine coverage

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0237718
Author(s):  
Ranju Baral ◽  
Jessica Fleming ◽  
Sadaf Khan ◽  
Deborah Higgins ◽  
Nathaniel Hendrix ◽  
...  
Keyword(s):  
Antenatal Care ◽  
Vaccine Coverage ◽  
Middle Income ◽  
Middle Income Countries ◽  
Antenatal Care Visit ◽  
Care Visit ◽  
Low And Middle Income

scholarly journals Factors Contributing to Maternal and Child Mortality Reductions in 146 Low- and Middle-Income Countries between 1990 and 2010

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0144908 ◽  
Author(s):  
David M. Bishai ◽  
Robert Cohen ◽  
Y. Natalia Alfonso ◽  
Taghreed Adam ◽  
Shyama Kuruvilla ◽  
...  
Keyword(s):  
Child Mortality ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

scholarly journals Using mHealth to Improve Usage of Antenatal Care, Postnatal Care, and Immunization: A Systematic Review of the Literature

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jessica L. Watterson ◽  
Julia Walsh ◽  
Isheeta Madeka
Keyword(s):  
Systematic Review ◽  
Behavior Change ◽  
Antenatal Care ◽  
Postnatal Care ◽  
Health Workers ◽  
Review Of The Literature ◽  
African Countries ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Mobile health (mHealth) technologies have been implemented in many low- and middle-income countries to address challenges in maternal and child health. Many of these technologies attempt to influence patients’, caretakers’, or health workers’ behavior. The purpose of this study was to conduct a systematic review of the literature to determine what evidence exists for the effectiveness of mHealth tools to increase the coverage and use of antenatal care (ANC), postnatal care (PNC), and childhood immunizations through behavior change in low- and middle-income countries. The full text of 53 articles was reviewed and 10 articles were identified that met all inclusion criteria. The majority of studies used text or voice message reminders to influence patient behavior change (80%,n=8) and most were conducted in African countries (80%,n=8). All studies showed at least some evidence of effectiveness at changing behavior to improve antenatal care attendance, postnatal care attendance, or childhood immunization rates. However, many of the studies were observational and further rigorous evaluation of mHealth programs is needed in a broader variety of settings.

Shifting disease burden in low and middle-income countries: a 14-year survival analysis of childhood mortality in Bangladesh

2017 ◽  
Vol 71 (9) ◽  
pp. 882-888 ◽  
Author(s):  
Olakunle Alonge ◽  
Siran He ◽  
Dewan Emdadul Hoque ◽  
Shumona Sharmin Salam ◽  
Irteja Islam ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Disease Burden ◽  
Childhood Mortality ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income
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