Cargando…

A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message

BACKGROUND AND AIMS: Previous evaluations of smoking cessation interventions in pregnancy have several limitations. Our solution to these limitations is the Economics of Smoking in Pregnancy (ESIP) model, which estimates the life‐time cost‐effectiveness of smoking cessation interventions in pregnanc...

Descripción completa

Detalles Bibliográficos
Autores principales: Jones, Matthew, Smith, Murray, Lewis, Sarah, Parrott, Steve, Coleman, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519118/
https://www.ncbi.nlm.nih.gov/pubmed/30347119
http://dx.doi.org/10.1111/add.14476
_version_ 1783418582318710784
author Jones, Matthew
Smith, Murray
Lewis, Sarah
Parrott, Steve
Coleman, Tim
author_facet Jones, Matthew
Smith, Murray
Lewis, Sarah
Parrott, Steve
Coleman, Tim
author_sort Jones, Matthew
collection PubMed
description BACKGROUND AND AIMS: Previous evaluations of smoking cessation interventions in pregnancy have several limitations. Our solution to these limitations is the Economics of Smoking in Pregnancy (ESIP) model, which estimates the life‐time cost‐effectiveness of smoking cessation interventions in pregnancy from a National Health Service (NHS) and personal social services perspective. We aim to (1) describe how ESIP has been constructed and (2) illustrate its use with trial data. METHODS: ESIP links mothers’ and offspring pregnancy outcomes to estimate the burdens of smoking‐related disease they experience with different rates of smoking in pregnancy, both in pregnancy and throughout their life‐times. Smoking rates are inputted by model users. ESIP then estimates the costs of treating disease burdens and also mothers’ and offspring life‐years and quality‐adjusted life years (QALYs). By comparing costs incurred and healthy life following different smoking rates, ESIP estimates incremental cost‐effectiveness and benefit–cost ratios for mothers or offspring or both combined. We illustrate ESIP use using data from a pragmatic randomized controlled trial that tested a smoking cessation intervention in pregnancy. RESULTS: Throughout women's and offspring life‐times, the intervention proved cheaper than usual care, having a negative incremental cost of £38.37 (interquartile range = £21.46–56.96) and it improved health, demonstrating a 0.04 increase in incremental QALYs for mothers and offspring, implying that it is ‘dominant’ over usual care. Benefit–cost ratios suggested that every £1 spent would generate a median of £14 (interquartile range = £8–20) in health‐care savings. CONCLUSIONS: Economics of Smoking in Pregnancy is the first economic model to link mothers’ and infants’ costs and benefits while reporting cost‐effectiveness in readily‐comparable units. Using ESIP with data from a trial which reported only short‐term economic analysis showed that the intervention was very likely to be cost‐effective in the longer term and to generate health‐care savings.
format Online
Article
Text
id pubmed-6519118
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-65191182019-05-21 A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message Jones, Matthew Smith, Murray Lewis, Sarah Parrott, Steve Coleman, Tim Addiction Methods and Techniques BACKGROUND AND AIMS: Previous evaluations of smoking cessation interventions in pregnancy have several limitations. Our solution to these limitations is the Economics of Smoking in Pregnancy (ESIP) model, which estimates the life‐time cost‐effectiveness of smoking cessation interventions in pregnancy from a National Health Service (NHS) and personal social services perspective. We aim to (1) describe how ESIP has been constructed and (2) illustrate its use with trial data. METHODS: ESIP links mothers’ and offspring pregnancy outcomes to estimate the burdens of smoking‐related disease they experience with different rates of smoking in pregnancy, both in pregnancy and throughout their life‐times. Smoking rates are inputted by model users. ESIP then estimates the costs of treating disease burdens and also mothers’ and offspring life‐years and quality‐adjusted life years (QALYs). By comparing costs incurred and healthy life following different smoking rates, ESIP estimates incremental cost‐effectiveness and benefit–cost ratios for mothers or offspring or both combined. We illustrate ESIP use using data from a pragmatic randomized controlled trial that tested a smoking cessation intervention in pregnancy. RESULTS: Throughout women's and offspring life‐times, the intervention proved cheaper than usual care, having a negative incremental cost of £38.37 (interquartile range = £21.46–56.96) and it improved health, demonstrating a 0.04 increase in incremental QALYs for mothers and offspring, implying that it is ‘dominant’ over usual care. Benefit–cost ratios suggested that every £1 spent would generate a median of £14 (interquartile range = £8–20) in health‐care savings. CONCLUSIONS: Economics of Smoking in Pregnancy is the first economic model to link mothers’ and infants’ costs and benefits while reporting cost‐effectiveness in readily‐comparable units. Using ESIP with data from a trial which reported only short‐term economic analysis showed that the intervention was very likely to be cost‐effective in the longer term and to generate health‐care savings. John Wiley and Sons Inc. 2018-12-05 2019-02 /pmc/articles/PMC6519118/ /pubmed/30347119 http://dx.doi.org/10.1111/add.14476 Text en © 2018 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods and Techniques
Jones, Matthew
Smith, Murray
Lewis, Sarah
Parrott, Steve
Coleman, Tim
A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title_full A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title_fullStr A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title_full_unstemmed A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title_short A dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self‐help delivered by text message
title_sort dynamic, modifiable model for estimating cost‐effectiveness of smoking cessation interventions in pregnancy: application to an rct of self‐help delivered by text message
topic Methods and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519118/
https://www.ncbi.nlm.nih.gov/pubmed/30347119
http://dx.doi.org/10.1111/add.14476
work_keys_str_mv AT jonesmatthew adynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT smithmurray adynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT lewissarah adynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT parrottsteve adynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT colemantim adynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT jonesmatthew dynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT smithmurray dynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT lewissarah dynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT parrottsteve dynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage
AT colemantim dynamicmodifiablemodelforestimatingcosteffectivenessofsmokingcessationinterventionsinpregnancyapplicationtoanrctofselfhelpdeliveredbytextmessage