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Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study
BACKGROUND: Systematic reviews of cost-effectiveness analyses summarize results and describe study characteristics. Variability in the study results is often explained qualitatively or based on sensitivity analyses of individual studies. However, variability due to input parameters and study charact...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719667/ https://www.ncbi.nlm.nih.gov/pubmed/26791941 http://dx.doi.org/10.1186/s12913-015-1230-4 |
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author | Burgers, Laura T. van de Wetering, Fleur T. Severens, Johan L. Redekop, W. Ken |
author_facet | Burgers, Laura T. van de Wetering, Fleur T. Severens, Johan L. Redekop, W. Ken |
author_sort | Burgers, Laura T. |
collection | PubMed |
description | BACKGROUND: Systematic reviews of cost-effectiveness analyses summarize results and describe study characteristics. Variability in the study results is often explained qualitatively or based on sensitivity analyses of individual studies. However, variability due to input parameters and study characteristics (e.g., funding or study quality) is often not statistically explained. As a case study, a systematic review on the cost-effectiveness of drug-eluting stents (DES) versus bare-metal stents (BMS) using meta-regression analyses is performed to explore the usefulness of such methods compared with conventional review methods. METHODS: We attempted to identify and review all modelling studies published until January 2012 that compared costs and consequences of DES versus BMS. We extracted general study information (e.g., funding), modelling methods, values of input parameters, and quality of the model using the Philips et al. checklist. Associations between study characteristics and the incremental costs and effectiveness of individual analyses were explored using regression analyses corrected for study ID. RESULTS: Sixteen eligible studies were identified, with a combined total of 508 analyses. The overall quality of the models was moderate (59 % ± 15 %). This study showed associations (e.g., type of lesion) that were expected (based on individual studies), however the meta-regression analyses revealed also unpredicted associations: e.g., model quality was negatively associated with repeat revascularizations avoided. CONCLUSIONS: Meta-regressions can be of added value, identifying significant associations that could not be identified using conventional review methods or by sensitivity analyses of individual studies. Furthermore, this study underlines the need to examine input parameters and perform a quality check of studies when interpreting the results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-015-1230-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4719667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47196672016-01-21 Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study Burgers, Laura T. van de Wetering, Fleur T. Severens, Johan L. Redekop, W. Ken BMC Health Serv Res Research Article BACKGROUND: Systematic reviews of cost-effectiveness analyses summarize results and describe study characteristics. Variability in the study results is often explained qualitatively or based on sensitivity analyses of individual studies. However, variability due to input parameters and study characteristics (e.g., funding or study quality) is often not statistically explained. As a case study, a systematic review on the cost-effectiveness of drug-eluting stents (DES) versus bare-metal stents (BMS) using meta-regression analyses is performed to explore the usefulness of such methods compared with conventional review methods. METHODS: We attempted to identify and review all modelling studies published until January 2012 that compared costs and consequences of DES versus BMS. We extracted general study information (e.g., funding), modelling methods, values of input parameters, and quality of the model using the Philips et al. checklist. Associations between study characteristics and the incremental costs and effectiveness of individual analyses were explored using regression analyses corrected for study ID. RESULTS: Sixteen eligible studies were identified, with a combined total of 508 analyses. The overall quality of the models was moderate (59 % ± 15 %). This study showed associations (e.g., type of lesion) that were expected (based on individual studies), however the meta-regression analyses revealed also unpredicted associations: e.g., model quality was negatively associated with repeat revascularizations avoided. CONCLUSIONS: Meta-regressions can be of added value, identifying significant associations that could not be identified using conventional review methods or by sensitivity analyses of individual studies. Furthermore, this study underlines the need to examine input parameters and perform a quality check of studies when interpreting the results. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-015-1230-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-20 /pmc/articles/PMC4719667/ /pubmed/26791941 http://dx.doi.org/10.1186/s12913-015-1230-4 Text en © Burgers 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 Burgers, Laura T. van de Wetering, Fleur T. Severens, Johan L. Redekop, W. Ken Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title | Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title_full | Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title_fullStr | Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title_full_unstemmed | Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title_short | Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
title_sort | using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results – a case study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719667/ https://www.ncbi.nlm.nih.gov/pubmed/26791941 http://dx.doi.org/10.1186/s12913-015-1230-4 |
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