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Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials

Cost collection using UB-04 forms for economic evaluation is challenging, as UB-04 collection is time and effort intensive and compliance is imperfect. Alternative data sources could overcome those challenges. The objective of this study is to determine the usefulness of UB-04 data in estimating hos...

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Autores principales: Higuera, Lucas, Ismyrloglou, Eleni, Lu, Xiaoxiao, Hinnenthal, Jennifer, Holbrook, Reece
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671305/
https://www.ncbi.nlm.nih.gov/pubmed/36395168
http://dx.doi.org/10.1371/journal.pone.0277685
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author Higuera, Lucas
Ismyrloglou, Eleni
Lu, Xiaoxiao
Hinnenthal, Jennifer
Holbrook, Reece
author_facet Higuera, Lucas
Ismyrloglou, Eleni
Lu, Xiaoxiao
Hinnenthal, Jennifer
Holbrook, Reece
author_sort Higuera, Lucas
collection PubMed
description Cost collection using UB-04 forms for economic evaluation is challenging, as UB-04 collection is time and effort intensive and compliance is imperfect. Alternative data sources could overcome those challenges. The objective of this study is to determine the usefulness of UB-04 data in estimating hospital costs compared to clinical case report form (CRF) data. Health care utilization costs were compared from financial information in UB-04s and from an assignment process using CRF data, from the WRAP-IT (23 infections) and the Micra IDE trials (61 adverse events and 108 implants). Charge-based costs were calculated by multiplying charges in UB-04s and hospital-specific Cost-to-Charge ratios from the Centers for Medicare and Medicaid Services cost reports. The cost assignment process used clinical information to find comparable encounters in real world data and assigned an average cost. Paired difference tests evaluated whether both methods yield similar results. The mean difference in total infection related costs between methods in the WRAP-IT trial was $152 +/-$22,565. In the Micra IDE trial, the mean difference in total adverse event related costs between methods was -$355 +/-$8,298 while the mean difference in total implant related costs between methods was $-3,488 +/-$13,859. Wilcoxon tests and generalized linear models could not reject the difference in costs between methods in the first two cases. Cost assignment methods achieve results similar to costs obtained through UB-04s, without the additional investment in time and effort. The use of UB-04 information for services that are not mature in a health care system may present unexpected challenges, necessitating a tradeoff with other methods of cost assignment.
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spelling pubmed-96713052022-11-18 Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials Higuera, Lucas Ismyrloglou, Eleni Lu, Xiaoxiao Hinnenthal, Jennifer Holbrook, Reece PLoS One Research Article Cost collection using UB-04 forms for economic evaluation is challenging, as UB-04 collection is time and effort intensive and compliance is imperfect. Alternative data sources could overcome those challenges. The objective of this study is to determine the usefulness of UB-04 data in estimating hospital costs compared to clinical case report form (CRF) data. Health care utilization costs were compared from financial information in UB-04s and from an assignment process using CRF data, from the WRAP-IT (23 infections) and the Micra IDE trials (61 adverse events and 108 implants). Charge-based costs were calculated by multiplying charges in UB-04s and hospital-specific Cost-to-Charge ratios from the Centers for Medicare and Medicaid Services cost reports. The cost assignment process used clinical information to find comparable encounters in real world data and assigned an average cost. Paired difference tests evaluated whether both methods yield similar results. The mean difference in total infection related costs between methods in the WRAP-IT trial was $152 +/-$22,565. In the Micra IDE trial, the mean difference in total adverse event related costs between methods was -$355 +/-$8,298 while the mean difference in total implant related costs between methods was $-3,488 +/-$13,859. Wilcoxon tests and generalized linear models could not reject the difference in costs between methods in the first two cases. Cost assignment methods achieve results similar to costs obtained through UB-04s, without the additional investment in time and effort. The use of UB-04 information for services that are not mature in a health care system may present unexpected challenges, necessitating a tradeoff with other methods of cost assignment. Public Library of Science 2022-11-17 /pmc/articles/PMC9671305/ /pubmed/36395168 http://dx.doi.org/10.1371/journal.pone.0277685 Text en © 2022 Higuera et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Higuera, Lucas
Ismyrloglou, Eleni
Lu, Xiaoxiao
Hinnenthal, Jennifer
Holbrook, Reece
Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title_full Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title_fullStr Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title_full_unstemmed Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title_short Collection of economic data using UB-04s: Is it worth the effort? Evidence from two clinical trials
title_sort collection of economic data using ub-04s: is it worth the effort? evidence from two clinical trials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671305/
https://www.ncbi.nlm.nih.gov/pubmed/36395168
http://dx.doi.org/10.1371/journal.pone.0277685
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