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

DOI https://doi.org/10.4081/gh.2012.147

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Published: May 1, 2012
Original Articles

Issue
Vol 6, No 2 (2012)
Pages
295-298
Keywords
spatio-temporal visualization, health systems and planning, resources allocation, modelling, teaching, Tanzania.
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How to Cite
Maire, N., Hegnauer, M., Nguyen, D., Godelmann, L., Peterhans, B., Hoffmann, A., de Savigny, D., & Tanner, M. (2012). The Health Resources Allocation Model (HRAM) for the 21st century. Geospatial Health, 6(2), 295-298. https://doi.org/10.4081/gh.2012.147
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Main Article Content

Nicolas Maire *
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Michael Hegnauer
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Dana Nguyen
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Lucas Godelmann
Hölzlistrasse 46, Binningen, Switzerland.
Bernadette Peterhans
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Axel Hoffmann
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Don de Savigny
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
Marcel Tanner
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel; University of Basel, Basel, Switzerland.
(*) Corresponding Author:
Nicolas Maire | nicolas.maire@unibas.ch

Abstract

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.

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