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Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model

BACKGROUND: Although the effectiveness of screening tools for detecting depression in pregnancy has been investigated, there is limited evidence on the cost-effectiveness. This is vital in providing full information to decision makers. This study aimed to explore the cost-effectiveness of different...

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Autores principales: Heslin, Margaret, Jin, Huajie, Trevillion, Kylee, Ling, Xiaoxiao, Nath, Selina, Barrett, Barbara, Demilew, Jill, Ryan, Elizabeth G., O’Connor, Sheila, Sands, Polly, Milgrom, Jeannette, Bick, Debra, Stanley, Nicky, Hunter, Myra S., Howard, Louise M., Byford, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190075/
https://www.ncbi.nlm.nih.gov/pubmed/35698125
http://dx.doi.org/10.1186/s12913-022-08115-x
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author Heslin, Margaret
Jin, Huajie
Trevillion, Kylee
Ling, Xiaoxiao
Nath, Selina
Barrett, Barbara
Demilew, Jill
Ryan, Elizabeth G.
O’Connor, Sheila
Sands, Polly
Milgrom, Jeannette
Bick, Debra
Stanley, Nicky
Hunter, Myra S.
Howard, Louise M.
Byford, Sarah
author_facet Heslin, Margaret
Jin, Huajie
Trevillion, Kylee
Ling, Xiaoxiao
Nath, Selina
Barrett, Barbara
Demilew, Jill
Ryan, Elizabeth G.
O’Connor, Sheila
Sands, Polly
Milgrom, Jeannette
Bick, Debra
Stanley, Nicky
Hunter, Myra S.
Howard, Louise M.
Byford, Sarah
author_sort Heslin, Margaret
collection PubMed
description BACKGROUND: Although the effectiveness of screening tools for detecting depression in pregnancy has been investigated, there is limited evidence on the cost-effectiveness. This is vital in providing full information to decision makers. This study aimed to explore the cost-effectiveness of different screening tools to identify depression in early pregnancy compared to no screening. METHODS: A decision tree was developed to model the identification and treatment pathways of depression from the first antenatal appointment to 3-months postpartum using the Whooley questions, the Edinburgh Postnatal Depression Scale (EPDS) and the Whooley questions followed by the EPDS, compared to no screening. The economic evaluation took an NHS and Personal Social Services perspective. Model parameters were taken from a combination of sources including a cross-sectional survey investigating the diagnostic accuracy of screening tools, and other published literature. Cost-effectiveness was assessed in terms of the incremental cost per quality adjusted life years (QALYs). Cost-effectiveness planes and cost-effectiveness acceptability curves were produced using a net-benefit approach based on Monte Carlo simulations of cost-outcome data. RESULTS: In a 4-way comparison, the Whooley, EPDS and Whooley followed by the EPDS each had a similar probability of being cost-effective at around 30% for willingness to pay values from £20,000–30,000 per QALY compared to around 20% for the no screen option. CONCLUSIONS: All three screening approaches tested had a higher probability of being cost-effective than the no-screen option. In the absence of a clear cost-effectiveness advantage for any one of the three screening options, the choice between the screening approaches could be made on other grounds, such as clinical burden of the screening options. Limitations include data availability and short time horizon, thus further research is needed. CLINICAL TRIALS REGISTRATION: N/A SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08115-x.
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spelling pubmed-91900752022-06-14 Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model Heslin, Margaret Jin, Huajie Trevillion, Kylee Ling, Xiaoxiao Nath, Selina Barrett, Barbara Demilew, Jill Ryan, Elizabeth G. O’Connor, Sheila Sands, Polly Milgrom, Jeannette Bick, Debra Stanley, Nicky Hunter, Myra S. Howard, Louise M. Byford, Sarah BMC Health Serv Res Research BACKGROUND: Although the effectiveness of screening tools for detecting depression in pregnancy has been investigated, there is limited evidence on the cost-effectiveness. This is vital in providing full information to decision makers. This study aimed to explore the cost-effectiveness of different screening tools to identify depression in early pregnancy compared to no screening. METHODS: A decision tree was developed to model the identification and treatment pathways of depression from the first antenatal appointment to 3-months postpartum using the Whooley questions, the Edinburgh Postnatal Depression Scale (EPDS) and the Whooley questions followed by the EPDS, compared to no screening. The economic evaluation took an NHS and Personal Social Services perspective. Model parameters were taken from a combination of sources including a cross-sectional survey investigating the diagnostic accuracy of screening tools, and other published literature. Cost-effectiveness was assessed in terms of the incremental cost per quality adjusted life years (QALYs). Cost-effectiveness planes and cost-effectiveness acceptability curves were produced using a net-benefit approach based on Monte Carlo simulations of cost-outcome data. RESULTS: In a 4-way comparison, the Whooley, EPDS and Whooley followed by the EPDS each had a similar probability of being cost-effective at around 30% for willingness to pay values from £20,000–30,000 per QALY compared to around 20% for the no screen option. CONCLUSIONS: All three screening approaches tested had a higher probability of being cost-effective than the no-screen option. In the absence of a clear cost-effectiveness advantage for any one of the three screening options, the choice between the screening approaches could be made on other grounds, such as clinical burden of the screening options. Limitations include data availability and short time horizon, thus further research is needed. CLINICAL TRIALS REGISTRATION: N/A SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08115-x. BioMed Central 2022-06-13 /pmc/articles/PMC9190075/ /pubmed/35698125 http://dx.doi.org/10.1186/s12913-022-08115-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Heslin, Margaret
Jin, Huajie
Trevillion, Kylee
Ling, Xiaoxiao
Nath, Selina
Barrett, Barbara
Demilew, Jill
Ryan, Elizabeth G.
O’Connor, Sheila
Sands, Polly
Milgrom, Jeannette
Bick, Debra
Stanley, Nicky
Hunter, Myra S.
Howard, Louise M.
Byford, Sarah
Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title_full Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title_fullStr Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title_full_unstemmed Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title_short Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
title_sort cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190075/
https://www.ncbi.nlm.nih.gov/pubmed/35698125
http://dx.doi.org/10.1186/s12913-022-08115-x
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