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Building Data Infrastructure for Disease-Focused Health Economics Research
BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635336/ https://www.ncbi.nlm.nih.gov/pubmed/37963034 http://dx.doi.org/10.1097/MLR.0000000000001904 |
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author | Bradley, Cathy J. Liang, Rifei Lindrooth, Richard C. Sabik, Lindsay M. Perraillon, Marcelo C. |
author_facet | Bradley, Cathy J. Liang, Rifei Lindrooth, Richard C. Sabik, Lindsay M. Perraillon, Marcelo C. |
author_sort | Bradley, Cathy J. |
collection | PubMed |
description | BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012–2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance. |
format | Online Article Text |
id | pubmed-10635336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-106353362023-11-15 Building Data Infrastructure for Disease-Focused Health Economics Research Bradley, Cathy J. Liang, Rifei Lindrooth, Richard C. Sabik, Lindsay M. Perraillon, Marcelo C. Med Care Data Linkage BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012–2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance. Lippincott Williams & Wilkins 2023-12 2023-11-09 /pmc/articles/PMC10635336/ /pubmed/37963034 http://dx.doi.org/10.1097/MLR.0000000000001904 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Data Linkage Bradley, Cathy J. Liang, Rifei Lindrooth, Richard C. Sabik, Lindsay M. Perraillon, Marcelo C. Building Data Infrastructure for Disease-Focused Health Economics Research |
title | Building Data Infrastructure for Disease-Focused Health Economics Research |
title_full | Building Data Infrastructure for Disease-Focused Health Economics Research |
title_fullStr | Building Data Infrastructure for Disease-Focused Health Economics Research |
title_full_unstemmed | Building Data Infrastructure for Disease-Focused Health Economics Research |
title_short | Building Data Infrastructure for Disease-Focused Health Economics Research |
title_sort | building data infrastructure for disease-focused health economics research |
topic | Data Linkage |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635336/ https://www.ncbi.nlm.nih.gov/pubmed/37963034 http://dx.doi.org/10.1097/MLR.0000000000001904 |
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