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Health State Utility Data in Cystic Fibrosis: A Systematic Review

INTRODUCTION: Cystic fibrosis (CF) is a life-limiting, hereditable condition, with the highest prevalence in Europe. CF treatments have led to improvements in clinical symptoms, disease management and decelerated disease progression. However, little is known about the health state utility (HSU) asso...

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Autores principales: Mohindru, Bishal, Turner, David, Sach, Tracey, Bilton, Diana, Carr, Siobhan, Archangelidi, Olga, Bhadhuri, Arjun, Whitty, Jennifer A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018933/
https://www.ncbi.nlm.nih.gov/pubmed/31054048
http://dx.doi.org/10.1007/s41669-019-0144-1
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author Mohindru, Bishal
Turner, David
Sach, Tracey
Bilton, Diana
Carr, Siobhan
Archangelidi, Olga
Bhadhuri, Arjun
Whitty, Jennifer A.
author_facet Mohindru, Bishal
Turner, David
Sach, Tracey
Bilton, Diana
Carr, Siobhan
Archangelidi, Olga
Bhadhuri, Arjun
Whitty, Jennifer A.
author_sort Mohindru, Bishal
collection PubMed
description INTRODUCTION: Cystic fibrosis (CF) is a life-limiting, hereditable condition, with the highest prevalence in Europe. CF treatments have led to improvements in clinical symptoms, disease management and decelerated disease progression. However, little is known about the health state utility (HSU) associated with CF disease states, adverse events, and changes in disease severity. Although HSU data have contributed to existing health economic modelling studies, a lack of such data have been highlighted. This systematic review aims to provide a summary of HSU-related research in CF and highlight related research gaps. METHODS: Online searches were performed in six databases and studies in any of the following categories were included: (1) estimation of HSUs in CF; (2) mapping studies between patient-reported outcome measures (PROMs) and HSUs; (3) economic evaluations on the management of CF that report primary HSU data; and (4) any CF clinical trial that reported HSU as an outcome. RESULTS: A total of 17 studies were reviewed, of which 12 provided HSU values for specific CF populations. The remaining five articles provided HSU data that were broken down by CF relevant health states, including lung transplantations, pulmonary exacerbation (PEx) events and forced expiratory volume in 1 s (FEV(1)). CONCLUSION: Current HSU data in CF are limited and there is considerable scope for further research, both in providing HSU values for CF and in investigating methods for HSU elicitation/evaluation in CF populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0144-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-70189332020-02-28 Health State Utility Data in Cystic Fibrosis: A Systematic Review Mohindru, Bishal Turner, David Sach, Tracey Bilton, Diana Carr, Siobhan Archangelidi, Olga Bhadhuri, Arjun Whitty, Jennifer A. Pharmacoecon Open Systematic Review INTRODUCTION: Cystic fibrosis (CF) is a life-limiting, hereditable condition, with the highest prevalence in Europe. CF treatments have led to improvements in clinical symptoms, disease management and decelerated disease progression. However, little is known about the health state utility (HSU) associated with CF disease states, adverse events, and changes in disease severity. Although HSU data have contributed to existing health economic modelling studies, a lack of such data have been highlighted. This systematic review aims to provide a summary of HSU-related research in CF and highlight related research gaps. METHODS: Online searches were performed in six databases and studies in any of the following categories were included: (1) estimation of HSUs in CF; (2) mapping studies between patient-reported outcome measures (PROMs) and HSUs; (3) economic evaluations on the management of CF that report primary HSU data; and (4) any CF clinical trial that reported HSU as an outcome. RESULTS: A total of 17 studies were reviewed, of which 12 provided HSU values for specific CF populations. The remaining five articles provided HSU data that were broken down by CF relevant health states, including lung transplantations, pulmonary exacerbation (PEx) events and forced expiratory volume in 1 s (FEV(1)). CONCLUSION: Current HSU data in CF are limited and there is considerable scope for further research, both in providing HSU values for CF and in investigating methods for HSU elicitation/evaluation in CF populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41669-019-0144-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-05-03 /pmc/articles/PMC7018933/ /pubmed/31054048 http://dx.doi.org/10.1007/s41669-019-0144-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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.
spellingShingle Systematic Review
Mohindru, Bishal
Turner, David
Sach, Tracey
Bilton, Diana
Carr, Siobhan
Archangelidi, Olga
Bhadhuri, Arjun
Whitty, Jennifer A.
Health State Utility Data in Cystic Fibrosis: A Systematic Review
title Health State Utility Data in Cystic Fibrosis: A Systematic Review
title_full Health State Utility Data in Cystic Fibrosis: A Systematic Review
title_fullStr Health State Utility Data in Cystic Fibrosis: A Systematic Review
title_full_unstemmed Health State Utility Data in Cystic Fibrosis: A Systematic Review
title_short Health State Utility Data in Cystic Fibrosis: A Systematic Review
title_sort health state utility data in cystic fibrosis: a systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018933/
https://www.ncbi.nlm.nih.gov/pubmed/31054048
http://dx.doi.org/10.1007/s41669-019-0144-1
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