Alcohol consumption's attributable disease burden and cost-effectiveness of targeted public health interventions: a systematic review of mathematical models

Ariel Esteban Bardach; Andrea Olga Alcaraz; Agustín Ciapponi; Osvaldo Ulises Garay; Andrés Pichón Riviere; Alfredo Palacios; Mariana Cremonte; Federico Augustovski

doi:10.1186/s12889-019-7771-4

Alcohol consumption's attributable disease burden and cost-effectiveness of targeted public health interventions: a systematic review of mathematical models

Ariel Esteban Bardach, Andrea Olga Alcaraz, Agustín Ciapponi, Osvaldo Ulises Garay, Andrés Pichón Riviere, Alfredo Palacios, Mariana Cremonte, Federico Augustovski

Research output: Contribution to journal › Article › peer-review

Abstract

BACKGROUND: Around 6% of total deaths are related to alcohol consumption worldwide. Mathematical models are important tools to estimate disease burden and to assess the cost-effectiveness of interventions to address this burden.

METHODS: We carried out a systematic review on models, searching main health literature databases up to July 2017. Pairs of reviewers independently selected, extracted data and assessed the quality of the included studies. Discrepancies were resolved by consensus. We selected those models exploring: a) disease burden (main metrics being attributable deaths, disability-adjusted life years, quality-adjusted life years) or b) economic evaluations of health interventions or policies, based on models including the aforementioned outcomes. We grouped models into broad families according to their common central methodological approach.

RESULTS: Out of 4295 reports identified, 63 met our inclusion criteria and were categorized in three main model families that were described in detail: 1) State transition -i.e Markov- models, 2) Life Table-based models and 3) Attributable fraction-based models. Most studies pertained to the latter one (n = 29, 48.3%). A few miscellaneous models could not be framed into these families.

CONCLUSIONS: Our findings can be useful for future researchers and decision makers planning to undertake alcohol-related disease burden or cost-effectiveness studies. We found several different families of models. Countries interested in adopting relevant public health measures may choose or adapt the one deemed most convenient, based on the availability of existing data at the local level, burden of work, and public health and economic outcomes of interest.

Original language	English
Pages (from-to)	1378
Journal	BMC Public Health
Volume	19
Issue number	1
DOIs	https://doi.org/10.1186/s12889-019-7771-4
Publication status	Published - 26 Oct 2019

Keywords

Alcohol Drinking/adverse effects
Alcohol-Related Disorders/epidemiology
Cost-Benefit Analysis
Health Promotion/economics
Humans
Models, Theoretical
Randomized Controlled Trials as Topic

Access to Document

10.1186/s12889-019-7771-4

Cite this

@article{68193c90fe7544fba9e250c4bdc676ec,

title = "Alcohol consumption's attributable disease burden and cost-effectiveness of targeted public health interventions: a systematic review of mathematical models",

abstract = "BACKGROUND: Around 6% of total deaths are related to alcohol consumption worldwide. Mathematical models are important tools to estimate disease burden and to assess the cost-effectiveness of interventions to address this burden.METHODS: We carried out a systematic review on models, searching main health literature databases up to July 2017. Pairs of reviewers independently selected, extracted data and assessed the quality of the included studies. Discrepancies were resolved by consensus. We selected those models exploring: a) disease burden (main metrics being attributable deaths, disability-adjusted life years, quality-adjusted life years) or b) economic evaluations of health interventions or policies, based on models including the aforementioned outcomes. We grouped models into broad families according to their common central methodological approach.RESULTS: Out of 4295 reports identified, 63 met our inclusion criteria and were categorized in three main model families that were described in detail: 1) State transition -i.e Markov- models, 2) Life Table-based models and 3) Attributable fraction-based models. Most studies pertained to the latter one (n = 29, 48.3%). A few miscellaneous models could not be framed into these families.CONCLUSIONS: Our findings can be useful for future researchers and decision makers planning to undertake alcohol-related disease burden or cost-effectiveness studies. We found several different families of models. Countries interested in adopting relevant public health measures may choose or adapt the one deemed most convenient, based on the availability of existing data at the local level, burden of work, and public health and economic outcomes of interest.",

keywords = "Alcohol Drinking/adverse effects, Alcohol-Related Disorders/epidemiology, Cost-Benefit Analysis, Health Promotion/economics, Humans, Models, Theoretical, Randomized Controlled Trials as Topic",

author = "Bardach, {Ariel Esteban} and Alcaraz, {Andrea Olga} and Agust{\'i}n Ciapponi and Garay, {Osvaldo Ulises} and Riviere, {Andr{\'e}s Pich{\'o}n} and Alfredo Palacios and Mariana Cremonte and Federico Augustovski",

year = "2019",

month = oct,

day = "26",

doi = "10.1186/s12889-019-7771-4",

language = "English",

volume = "19",

pages = "1378",

journal = "BMC Public Health",

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TY - JOUR

T1 - Alcohol consumption's attributable disease burden and cost-effectiveness of targeted public health interventions

T2 - a systematic review of mathematical models

AU - Bardach, Ariel Esteban

AU - Alcaraz, Andrea Olga

AU - Ciapponi, Agustín

AU - Garay, Osvaldo Ulises

AU - Riviere, Andrés Pichón

AU - Palacios, Alfredo

AU - Cremonte, Mariana

AU - Augustovski, Federico

PY - 2019/10/26

Y1 - 2019/10/26

N2 - BACKGROUND: Around 6% of total deaths are related to alcohol consumption worldwide. Mathematical models are important tools to estimate disease burden and to assess the cost-effectiveness of interventions to address this burden.METHODS: We carried out a systematic review on models, searching main health literature databases up to July 2017. Pairs of reviewers independently selected, extracted data and assessed the quality of the included studies. Discrepancies were resolved by consensus. We selected those models exploring: a) disease burden (main metrics being attributable deaths, disability-adjusted life years, quality-adjusted life years) or b) economic evaluations of health interventions or policies, based on models including the aforementioned outcomes. We grouped models into broad families according to their common central methodological approach.RESULTS: Out of 4295 reports identified, 63 met our inclusion criteria and were categorized in three main model families that were described in detail: 1) State transition -i.e Markov- models, 2) Life Table-based models and 3) Attributable fraction-based models. Most studies pertained to the latter one (n = 29, 48.3%). A few miscellaneous models could not be framed into these families.CONCLUSIONS: Our findings can be useful for future researchers and decision makers planning to undertake alcohol-related disease burden or cost-effectiveness studies. We found several different families of models. Countries interested in adopting relevant public health measures may choose or adapt the one deemed most convenient, based on the availability of existing data at the local level, burden of work, and public health and economic outcomes of interest.

AB - BACKGROUND: Around 6% of total deaths are related to alcohol consumption worldwide. Mathematical models are important tools to estimate disease burden and to assess the cost-effectiveness of interventions to address this burden.METHODS: We carried out a systematic review on models, searching main health literature databases up to July 2017. Pairs of reviewers independently selected, extracted data and assessed the quality of the included studies. Discrepancies were resolved by consensus. We selected those models exploring: a) disease burden (main metrics being attributable deaths, disability-adjusted life years, quality-adjusted life years) or b) economic evaluations of health interventions or policies, based on models including the aforementioned outcomes. We grouped models into broad families according to their common central methodological approach.RESULTS: Out of 4295 reports identified, 63 met our inclusion criteria and were categorized in three main model families that were described in detail: 1) State transition -i.e Markov- models, 2) Life Table-based models and 3) Attributable fraction-based models. Most studies pertained to the latter one (n = 29, 48.3%). A few miscellaneous models could not be framed into these families.CONCLUSIONS: Our findings can be useful for future researchers and decision makers planning to undertake alcohol-related disease burden or cost-effectiveness studies. We found several different families of models. Countries interested in adopting relevant public health measures may choose or adapt the one deemed most convenient, based on the availability of existing data at the local level, burden of work, and public health and economic outcomes of interest.

KW - Alcohol Drinking/adverse effects

KW - Alcohol-Related Disorders/epidemiology

KW - Cost-Benefit Analysis

KW - Health Promotion/economics

KW - Humans

KW - Models, Theoretical

KW - Randomized Controlled Trials as Topic

U2 - 10.1186/s12889-019-7771-4

DO - 10.1186/s12889-019-7771-4

M3 - Article

C2 - 31655600

SN - 1471-2458

VL - 19

SP - 1378

JO - BMC Public Health

JF - BMC Public Health

IS - 1

ER -