Cargando…
Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol
INTRODUCTION: Child (infant and under-5) and maternal mortality rates are key indicators for assessing the health status of populations. South Africa's maternal and child mortality rates are high, and the country mirrors the continental trend of slow progress towards its Millennium Development...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964211/ https://www.ncbi.nlm.nih.gov/pubmed/27421296 http://dx.doi.org/10.1136/bmjopen-2015-010013 |
_version_ | 1782445065167175680 |
---|---|
author | Tlou, B Sartorius, B Tanser, F |
author_facet | Tlou, B Sartorius, B Tanser, F |
author_sort | Tlou, B |
collection | PubMed |
description | INTRODUCTION: Child (infant and under-5) and maternal mortality rates are key indicators for assessing the health status of populations. South Africa's maternal and child mortality rates are high, and the country mirrors the continental trend of slow progress towards its Millennium Development Goals. Rural areas are often more affected regarding child and maternal mortalities, specifically in areas with a high HIV burden. This study aims to understand the factors affecting child and maternal mortality in the Africa Centre Demographic Surveillance Area (DSA) from 2003 to 2014 towards developing tailored interventions to reduce the deaths in resource poor settings. This will be done by identifying child and maternal mortality ‘hotspots’ and their associated risk factors. METHODS AND ANALYSIS: This retrospective study will use data for 2003–2014 from the Africa Centre Demographic Information System (ACDIS) in rural KwaZulu-Natal Province, South Africa. All homesteads in the study area have been mapped to an accuracy of <2 m, all deaths recorded and the assigned cause of death established using a verbal autopsy interview. Advanced spatial-temporal clustering techniques (both regular (Kulldorff) and irregular (FleXScan)) will be used to identify mortality ‘hotspots’. Various advanced statistical modelling approaches will be tested and used to identify significant risk factors for child and maternal mortality. Differences in attributability and risk factors profiles in identified ‘hotspots’ will be assessed to enable tailored intervention guidance/development. This multicomponent study will enable a refined intervention model to be developed for typical rural populations with a high HIV burden. ETHICS: Ethical approval was received from the Biomedical Research Ethics Committee (BREC) of the University of KwaZulu-Natal (BE 169/15). |
format | Online Article Text |
id | pubmed-4964211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49642112016-08-03 Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol Tlou, B Sartorius, B Tanser, F BMJ Open Global Health INTRODUCTION: Child (infant and under-5) and maternal mortality rates are key indicators for assessing the health status of populations. South Africa's maternal and child mortality rates are high, and the country mirrors the continental trend of slow progress towards its Millennium Development Goals. Rural areas are often more affected regarding child and maternal mortalities, specifically in areas with a high HIV burden. This study aims to understand the factors affecting child and maternal mortality in the Africa Centre Demographic Surveillance Area (DSA) from 2003 to 2014 towards developing tailored interventions to reduce the deaths in resource poor settings. This will be done by identifying child and maternal mortality ‘hotspots’ and their associated risk factors. METHODS AND ANALYSIS: This retrospective study will use data for 2003–2014 from the Africa Centre Demographic Information System (ACDIS) in rural KwaZulu-Natal Province, South Africa. All homesteads in the study area have been mapped to an accuracy of <2 m, all deaths recorded and the assigned cause of death established using a verbal autopsy interview. Advanced spatial-temporal clustering techniques (both regular (Kulldorff) and irregular (FleXScan)) will be used to identify mortality ‘hotspots’. Various advanced statistical modelling approaches will be tested and used to identify significant risk factors for child and maternal mortality. Differences in attributability and risk factors profiles in identified ‘hotspots’ will be assessed to enable tailored intervention guidance/development. This multicomponent study will enable a refined intervention model to be developed for typical rural populations with a high HIV burden. ETHICS: Ethical approval was received from the Biomedical Research Ethics Committee (BREC) of the University of KwaZulu-Natal (BE 169/15). BMJ Publishing Group 2016-07-15 /pmc/articles/PMC4964211/ /pubmed/27421296 http://dx.doi.org/10.1136/bmjopen-2015-010013 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Global Health Tlou, B Sartorius, B Tanser, F Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title | Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title_full | Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title_fullStr | Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title_full_unstemmed | Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title_short | Spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high HIV burdened South African population, 2000–2014: a study protocol |
title_sort | spatial-temporal dynamics and structural determinants of child and maternal mortality in a rural, high hiv burdened south african population, 2000–2014: a study protocol |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964211/ https://www.ncbi.nlm.nih.gov/pubmed/27421296 http://dx.doi.org/10.1136/bmjopen-2015-010013 |
work_keys_str_mv | AT tloub spatialtemporaldynamicsandstructuraldeterminantsofchildandmaternalmortalityinaruralhighhivburdenedsouthafricanpopulation20002014astudyprotocol AT sartoriusb spatialtemporaldynamicsandstructuraldeterminantsofchildandmaternalmortalityinaruralhighhivburdenedsouthafricanpopulation20002014astudyprotocol AT tanserf spatialtemporaldynamicsandstructuraldeterminantsofchildandmaternalmortalityinaruralhighhivburdenedsouthafricanpopulation20002014astudyprotocol |