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A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems

BACKGROUND: The overarching goal of health policies is to maximize health and societal benefits. Economic evaluations can play a vital role in assessing whether or not such benefits occur. This paper reviews the application of modelling techniques in economic evaluations of drug and alcohol interven...

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Autores principales: Hoang, Van Phuong, Shanahan, Marian, Shukla, Nagesh, Perez, Pascal, Farrell, Michael, Ritter, Alison
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831174/
https://www.ncbi.nlm.nih.gov/pubmed/27074871
http://dx.doi.org/10.1186/s12913-016-1368-8
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author Hoang, Van Phuong
Shanahan, Marian
Shukla, Nagesh
Perez, Pascal
Farrell, Michael
Ritter, Alison
author_facet Hoang, Van Phuong
Shanahan, Marian
Shukla, Nagesh
Perez, Pascal
Farrell, Michael
Ritter, Alison
author_sort Hoang, Van Phuong
collection PubMed
description BACKGROUND: The overarching goal of health policies is to maximize health and societal benefits. Economic evaluations can play a vital role in assessing whether or not such benefits occur. This paper reviews the application of modelling techniques in economic evaluations of drug and alcohol interventions with regard to (i) modelling paradigms themselves; (ii) perspectives of costs and benefits and (iii) time frame. METHODS: Papers that use modelling approaches for economic evaluations of drug and alcohol interventions were identified by carrying out searches of major databases. RESULTS: Thirty eight papers met the inclusion criteria. Overall, the cohort Markov models remain the most popular approach, followed by decision trees, Individual based model and System dynamics model (SD). Most of the papers adopted a long term time frame to reflect the long term costs and benefits of health interventions. However, it was fairly common among the reviewed papers to adopt a narrow perspective that only takes into account costs and benefits borne by the health care sector. CONCLUSIONS: This review paper informs policy makers about the availability of modelling techniques that can be used to enhance the quality of economic evaluations for drug and alcohol treatment interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1368-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-48311742016-04-15 A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems Hoang, Van Phuong Shanahan, Marian Shukla, Nagesh Perez, Pascal Farrell, Michael Ritter, Alison BMC Health Serv Res Research Article BACKGROUND: The overarching goal of health policies is to maximize health and societal benefits. Economic evaluations can play a vital role in assessing whether or not such benefits occur. This paper reviews the application of modelling techniques in economic evaluations of drug and alcohol interventions with regard to (i) modelling paradigms themselves; (ii) perspectives of costs and benefits and (iii) time frame. METHODS: Papers that use modelling approaches for economic evaluations of drug and alcohol interventions were identified by carrying out searches of major databases. RESULTS: Thirty eight papers met the inclusion criteria. Overall, the cohort Markov models remain the most popular approach, followed by decision trees, Individual based model and System dynamics model (SD). Most of the papers adopted a long term time frame to reflect the long term costs and benefits of health interventions. However, it was fairly common among the reviewed papers to adopt a narrow perspective that only takes into account costs and benefits borne by the health care sector. CONCLUSIONS: This review paper informs policy makers about the availability of modelling techniques that can be used to enhance the quality of economic evaluations for drug and alcohol treatment interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1368-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-13 /pmc/articles/PMC4831174/ /pubmed/27074871 http://dx.doi.org/10.1186/s12913-016-1368-8 Text en © Hoang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hoang, Van Phuong
Shanahan, Marian
Shukla, Nagesh
Perez, Pascal
Farrell, Michael
Ritter, Alison
A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title_full A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title_fullStr A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title_full_unstemmed A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title_short A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
title_sort systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831174/
https://www.ncbi.nlm.nih.gov/pubmed/27074871
http://dx.doi.org/10.1186/s12913-016-1368-8
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