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Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)

The measurement of costs is fundamental in healthcare decision-making, but it is often challenging. In particular, standardised methods have not been developed in the rare genetic disease population. A reliable and valid tool is critical for research to be locally meaningful yet internationally comp...

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Autores principales: Chung, Claudia C. Y., Fung, Jasmine L. F., Lui, Adrian C. Y., Chan, Marcus C. Y., Ng, Yvette N. C., Wong, Wilfred H. S., Lee, So Lun, Knapp, Martin, Chung, Brian H. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668911/
https://www.ncbi.nlm.nih.gov/pubmed/34903789
http://dx.doi.org/10.1038/s41598-021-03379-5
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author Chung, Claudia C. Y.
Fung, Jasmine L. F.
Lui, Adrian C. Y.
Chan, Marcus C. Y.
Ng, Yvette N. C.
Wong, Wilfred H. S.
Lee, So Lun
Knapp, Martin
Chung, Brian H. Y.
author_facet Chung, Claudia C. Y.
Fung, Jasmine L. F.
Lui, Adrian C. Y.
Chan, Marcus C. Y.
Ng, Yvette N. C.
Wong, Wilfred H. S.
Lee, So Lun
Knapp, Martin
Chung, Brian H. Y.
author_sort Chung, Claudia C. Y.
collection PubMed
description The measurement of costs is fundamental in healthcare decision-making, but it is often challenging. In particular, standardised methods have not been developed in the rare genetic disease population. A reliable and valid tool is critical for research to be locally meaningful yet internationally comparable. Herein, we sought to develop, contextualise, translate, and validate the Client Service Receipt Inventory for the RAre disease population (CSRI-Ra) to be used in cost-of-illness studies and economic evaluations for healthcare planning. Through expert panel discussions and focus group meetings involving 17 rare disease patients, carers, and healthcare and social care professionals from Hong Kong, we have developed the CSRI-Ra. Rounds of forward and backward translations were performed by bilingual researchers, and face validity and semantic equivalence were achieved through interviews and telephone communications with focus group participants and an additional of 13 healthcare professional and university students. Intra-class correlation coefficient (ICC) was used to assess criterion validity between CSRI-Ra and electronic patient record in a sample of 94 rare disease patients and carers, with overall ICC being 0.69 (95% CI 0.56–0.78), indicating moderate to good agreement. Following rounds of revision in the development, contextualisation, translation, and validation stages, the CSRI-Ra is ready for use in empirical research. The CSRI-Ra provides a sufficiently standardised yet adaptable method for collecting socio-economic data related to rare genetic diseases. This is important for near-term and long-term monitoring of the resource consequences of rare diseases, and it provides a tool for use in economic evaluations in the future, thereby helping to inform planning for efficient and effective healthcare. Adaptation of the CSRI-Ra to other populations would facilitate international research.
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spelling pubmed-86689112021-12-15 Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra) Chung, Claudia C. Y. Fung, Jasmine L. F. Lui, Adrian C. Y. Chan, Marcus C. Y. Ng, Yvette N. C. Wong, Wilfred H. S. Lee, So Lun Knapp, Martin Chung, Brian H. Y. Sci Rep Article The measurement of costs is fundamental in healthcare decision-making, but it is often challenging. In particular, standardised methods have not been developed in the rare genetic disease population. A reliable and valid tool is critical for research to be locally meaningful yet internationally comparable. Herein, we sought to develop, contextualise, translate, and validate the Client Service Receipt Inventory for the RAre disease population (CSRI-Ra) to be used in cost-of-illness studies and economic evaluations for healthcare planning. Through expert panel discussions and focus group meetings involving 17 rare disease patients, carers, and healthcare and social care professionals from Hong Kong, we have developed the CSRI-Ra. Rounds of forward and backward translations were performed by bilingual researchers, and face validity and semantic equivalence were achieved through interviews and telephone communications with focus group participants and an additional of 13 healthcare professional and university students. Intra-class correlation coefficient (ICC) was used to assess criterion validity between CSRI-Ra and electronic patient record in a sample of 94 rare disease patients and carers, with overall ICC being 0.69 (95% CI 0.56–0.78), indicating moderate to good agreement. Following rounds of revision in the development, contextualisation, translation, and validation stages, the CSRI-Ra is ready for use in empirical research. The CSRI-Ra provides a sufficiently standardised yet adaptable method for collecting socio-economic data related to rare genetic diseases. This is important for near-term and long-term monitoring of the resource consequences of rare diseases, and it provides a tool for use in economic evaluations in the future, thereby helping to inform planning for efficient and effective healthcare. Adaptation of the CSRI-Ra to other populations would facilitate international research. Nature Publishing Group UK 2021-12-13 /pmc/articles/PMC8668911/ /pubmed/34903789 http://dx.doi.org/10.1038/s41598-021-03379-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Chung, Claudia C. Y.
Fung, Jasmine L. F.
Lui, Adrian C. Y.
Chan, Marcus C. Y.
Ng, Yvette N. C.
Wong, Wilfred H. S.
Lee, So Lun
Knapp, Martin
Chung, Brian H. Y.
Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title_full Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title_fullStr Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title_full_unstemmed Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title_short Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra)
title_sort client service receipt inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (csri-ra)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668911/
https://www.ncbi.nlm.nih.gov/pubmed/34903789
http://dx.doi.org/10.1038/s41598-021-03379-5
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