The Health Resources Allocation Model (HRAM) for the 21st century

Nicolas Maire; Michael Hegnauer; Dana Nguyen; Lucas Godelmann; Bernadette Peterhans; Axel Hoffmann; Don de Savigny; Marcel Tanner

doi:10.4081/gh.2012.147

Geospatial Health (May 2012)

The Health Resources Allocation Model (HRAM) for the 21st century

Nicolas Maire,
Michael Hegnauer,
Dana Nguyen,
Lucas Godelmann,
Bernadette Peterhans,
Axel Hoffmann,
Don de Savigny,
Marcel Tanner

Affiliations

Nicolas Maire: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Michael Hegnauer: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Dana Nguyen: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Lucas Godelmann: Hölzlistrasse 46, Binningen
Bernadette Peterhans: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Axel Hoffmann: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Don de Savigny: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel
Marcel Tanner: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel

DOI: https://doi.org/10.4081/gh.2012.147
Journal volume & issue: Vol. 6, no. 2
pp. 295 – 298

Abstract

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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.

spatio-temporal visualization, health systems and planning, resources allocation, modelling, teaching, Tanzania.

Published in Geospatial Health

ISSN: 1827-1987 (Print); 1970-7096 (Online)
Publisher: PAGEPress Publications
Country of publisher: Italy
LCC subjects: Geography. Anthropology. Recreation: Geography (General)
Website: http://geospatialhealth.net/

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