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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Main Authors: Nicolas Maire, Michael Hegnauer, Dana Nguyen, Lucas Godelmann, Bernadette Peterhans, Axel Hoffmann, Don de Savigny, Marcel Tanner
Format: Article
Language:English
Published: PAGEPress Publications 2012-05-01
Series:Geospatial Health
Subjects:
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/147
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spelling 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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