The Health Resources Allocation Model (HRAM) for the 21st century
The Health Resources Allocation Model (HRAM) is an eLearning tool for health cadres and scientists introducing basic concepts of sub-national, rational district-based health planning and systems thinking under resources constraint. HRAM allows the evaluation of resource allocation strategies in rela...
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doaj-68f50572b0c74c2ba4293e14f919e15f2020-11-25T03:40:38ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962012-05-016229529810.4081/gh.2012.147147The Health Resources Allocation Model (HRAM) for the 21st centuryNicolas Maire0Michael Hegnauer1Dana Nguyen2Lucas Godelmann3Bernadette Peterhans4Axel Hoffmann5Don de Savigny6Marcel Tanner7Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselHölzlistrasse 46, BinningenDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, BaselThe Health Resources Allocation Model (HRAM) is an eLearning tool for health cadres and scientists introducing basic concepts of sub-national, rational district-based health planning and systems thinking under resources constraint. HRAM allows the evaluation of resource allocation strategies in relation to key outcome measures such as coverage, equity of services achieved and number of deaths and disability-adjusted life years (DALYs) prevented. In addition, the model takes into account geographical and demographic characteristics and populations’ health seeking behaviour. It can be adapted to different socio-ecological and health system settings.http://www.geospatialhealth.net/index.php/gh/article/view/147spatio-temporal visualization, health systems and planning, resources allocation, modelling, teaching, Tanzania. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nicolas Maire Michael Hegnauer Dana Nguyen Lucas Godelmann Bernadette Peterhans Axel Hoffmann Don de Savigny Marcel Tanner |
spellingShingle |
Nicolas Maire Michael Hegnauer Dana Nguyen Lucas Godelmann Bernadette Peterhans Axel Hoffmann Don de Savigny Marcel Tanner The Health Resources Allocation Model (HRAM) for the 21st century Geospatial Health spatio-temporal visualization, health systems and planning, resources allocation, modelling, teaching, Tanzania. |
author_facet |
Nicolas Maire Michael Hegnauer Dana Nguyen Lucas Godelmann Bernadette Peterhans Axel Hoffmann Don de Savigny Marcel Tanner |
author_sort |
Nicolas Maire |
title |
The Health Resources Allocation Model (HRAM) for the 21st century |
title_short |
The Health Resources Allocation Model (HRAM) for the 21st century |
title_full |
The Health Resources Allocation Model (HRAM) for the 21st century |
title_fullStr |
The Health Resources Allocation Model (HRAM) for the 21st century |
title_full_unstemmed |
The Health Resources Allocation Model (HRAM) for the 21st century |
title_sort |
health resources allocation model (hram) for the 21st century |
publisher |
PAGEPress Publications |
series |
Geospatial Health |
issn |
1827-1987 1970-7096 |
publishDate |
2012-05-01 |
description |
The Health Resources Allocation Model (HRAM) is an eLearning tool for health cadres and scientists introducing basic concepts of sub-national, rational district-based health planning and systems thinking under resources constraint. HRAM allows the evaluation of resource allocation strategies in relation to key outcome measures such as coverage, equity of services achieved and number of deaths and disability-adjusted life years (DALYs) prevented. In addition, the model takes into account geographical and demographic characteristics and populations’ health seeking behaviour. It can be adapted to different socio-ecological and health system settings. |
topic |
spatio-temporal visualization, health systems and planning, resources allocation, modelling, teaching, Tanzania. |
url |
http://www.geospatialhealth.net/index.php/gh/article/view/147 |
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