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Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions
BACKGROUND: The economic evaluation of stratified breast cancer screening gains momentum, but produces also very diverse results. Systematic reviews so far focused on modeling techniques and epidemiologic assumptions. However, cost and utility parameters received only little attention. This systemat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712150/ https://www.ncbi.nlm.nih.gov/pubmed/29197417 http://dx.doi.org/10.1186/s12913-017-2766-2 |
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author | Arnold, Matthias |
author_facet | Arnold, Matthias |
author_sort | Arnold, Matthias |
collection | PubMed |
description | BACKGROUND: The economic evaluation of stratified breast cancer screening gains momentum, but produces also very diverse results. Systematic reviews so far focused on modeling techniques and epidemiologic assumptions. However, cost and utility parameters received only little attention. This systematic review assesses simulation models for stratified breast cancer screening based on their cost and utility parameters in each phase of breast cancer screening and care. METHODS: A literature review was conducted to compare economic evaluations with simulation models of personalized breast cancer screening. Study quality was assessed using reporting guidelines. Cost and utility inputs were extracted, standardized and structured using a care delivery framework. Studies were then clustered according to their study aim and parameters were compared within the clusters. RESULTS: Eighteen studies were identified within three study clusters. Reporting quality was very diverse in all three clusters. Only two studies in cluster 1, four studies in cluster 2 and one study in cluster 3 scored high in the quality appraisal. In addition to the quality appraisal, this review assessed if the simulation models were consistent in integrating all relevant phases of care, if utility parameters were consistent and methodological sound and if cost were compatible and consistent in the actual parameters used for screening, diagnostic work up and treatment. Of 18 studies, only three studies did not show signs of potential bias. CONCLUSION: This systematic review shows that a closer look into the cost and utility parameter can help to identify potential bias. Future simulation models should focus on integrating all relevant phases of care, using methodologically sound utility parameters and avoiding inconsistent cost parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-017-2766-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5712150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57121502017-12-06 Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions Arnold, Matthias BMC Health Serv Res Research Article BACKGROUND: The economic evaluation of stratified breast cancer screening gains momentum, but produces also very diverse results. Systematic reviews so far focused on modeling techniques and epidemiologic assumptions. However, cost and utility parameters received only little attention. This systematic review assesses simulation models for stratified breast cancer screening based on their cost and utility parameters in each phase of breast cancer screening and care. METHODS: A literature review was conducted to compare economic evaluations with simulation models of personalized breast cancer screening. Study quality was assessed using reporting guidelines. Cost and utility inputs were extracted, standardized and structured using a care delivery framework. Studies were then clustered according to their study aim and parameters were compared within the clusters. RESULTS: Eighteen studies were identified within three study clusters. Reporting quality was very diverse in all three clusters. Only two studies in cluster 1, four studies in cluster 2 and one study in cluster 3 scored high in the quality appraisal. In addition to the quality appraisal, this review assessed if the simulation models were consistent in integrating all relevant phases of care, if utility parameters were consistent and methodological sound and if cost were compatible and consistent in the actual parameters used for screening, diagnostic work up and treatment. Of 18 studies, only three studies did not show signs of potential bias. CONCLUSION: This systematic review shows that a closer look into the cost and utility parameter can help to identify potential bias. Future simulation models should focus on integrating all relevant phases of care, using methodologically sound utility parameters and avoiding inconsistent cost parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-017-2766-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-02 /pmc/articles/PMC5712150/ /pubmed/29197417 http://dx.doi.org/10.1186/s12913-017-2766-2 Text en © The Author(s). 2017 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 Arnold, Matthias Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title | Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title_full | Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title_fullStr | Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title_full_unstemmed | Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title_short | Simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
title_sort | simulation modeling for stratified breast cancer screening – a systematic review of cost and quality of life assumptions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712150/ https://www.ncbi.nlm.nih.gov/pubmed/29197417 http://dx.doi.org/10.1186/s12913-017-2766-2 |
work_keys_str_mv | AT arnoldmatthias simulationmodelingforstratifiedbreastcancerscreeningasystematicreviewofcostandqualityoflifeassumptions |