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Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review
SUMMARY: Healthcare administrative (claims) data are commonly utilized to estimate drug effects. We identified considerable heterogeneity in fracture outcome definitions in a scoping review of 57 studies that estimated osteoporosis drug effects on fracture risk. Better understanding of the impact of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463274/ https://www.ncbi.nlm.nih.gov/pubmed/35578134 http://dx.doi.org/10.1007/s00198-022-06395-x |
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author | Konstantelos, N. Rzepka, A. M. Burden, A. M. Cheung, A. M. Kim, S. Grootendorst, P. Cadarette, S. M. |
author_facet | Konstantelos, N. Rzepka, A. M. Burden, A. M. Cheung, A. M. Kim, S. Grootendorst, P. Cadarette, S. M. |
author_sort | Konstantelos, N. |
collection | PubMed |
description | SUMMARY: Healthcare administrative (claims) data are commonly utilized to estimate drug effects. We identified considerable heterogeneity in fracture outcome definitions in a scoping review of 57 studies that estimated osteoporosis drug effects on fracture risk. Better understanding of the impact of different fracture definitions on study results is needed. PURPOSE: Healthcare administrative (claims) data are frequently used to estimate the real-world effects of drugs. Fracture incidence is a common outcome of osteoporosis drug studies. We aimed to describe how fractures are defined in studies that use claims data. METHODS: We searched MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), and gray literature for studies published in English between 2000 and 2020 that estimated fracture effectiveness (hip, humerus, radius/ulna, vertebra) or safety (atypical fracture of the femur, AFF) of osteoporosis drugs using claims data in Canada and the USA. Literature searches, screening and data abstraction were completed independently by two reviewers. RESULTS: We identified 57 eligible studies (52 effectiveness, 3 safety, 2 both). Hip fracture was the most common fracture site studied (93%), followed by humerus (66%), radius/ulna (59%), vertebra (61%), and AFF (9%). Half (n = 29) of the studies did not indicate specific data sources, codes, or cite a validation paper. Of the papers with sufficient detail, heterogeneity in fracture definitions was common. The most common definition within each fracture site was used by less than half of the studies that examined effectiveness (12 definitions in 29 hip fracture papers, 8 definitions in 17 humerus papers, 8 definitions in 13 radius/ulna papers, 9 definitions in 15 vertebra papers), and 3 definitions among 4 AFF papers. CONCLUSION: There is ambiguity and heterogeneity in fracture outcome definitions in studies that leverage claims data. Better transparency in outcome reporting is needed. Future exploration of how fracture definitions impact study results is warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00198-022-06395-x. |
format | Online Article Text |
id | pubmed-9463274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-94632742022-09-11 Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review Konstantelos, N. Rzepka, A. M. Burden, A. M. Cheung, A. M. Kim, S. Grootendorst, P. Cadarette, S. M. Osteoporos Int Review SUMMARY: Healthcare administrative (claims) data are commonly utilized to estimate drug effects. We identified considerable heterogeneity in fracture outcome definitions in a scoping review of 57 studies that estimated osteoporosis drug effects on fracture risk. Better understanding of the impact of different fracture definitions on study results is needed. PURPOSE: Healthcare administrative (claims) data are frequently used to estimate the real-world effects of drugs. Fracture incidence is a common outcome of osteoporosis drug studies. We aimed to describe how fractures are defined in studies that use claims data. METHODS: We searched MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), and gray literature for studies published in English between 2000 and 2020 that estimated fracture effectiveness (hip, humerus, radius/ulna, vertebra) or safety (atypical fracture of the femur, AFF) of osteoporosis drugs using claims data in Canada and the USA. Literature searches, screening and data abstraction were completed independently by two reviewers. RESULTS: We identified 57 eligible studies (52 effectiveness, 3 safety, 2 both). Hip fracture was the most common fracture site studied (93%), followed by humerus (66%), radius/ulna (59%), vertebra (61%), and AFF (9%). Half (n = 29) of the studies did not indicate specific data sources, codes, or cite a validation paper. Of the papers with sufficient detail, heterogeneity in fracture definitions was common. The most common definition within each fracture site was used by less than half of the studies that examined effectiveness (12 definitions in 29 hip fracture papers, 8 definitions in 17 humerus papers, 8 definitions in 13 radius/ulna papers, 9 definitions in 15 vertebra papers), and 3 definitions among 4 AFF papers. CONCLUSION: There is ambiguity and heterogeneity in fracture outcome definitions in studies that leverage claims data. Better transparency in outcome reporting is needed. Future exploration of how fracture definitions impact study results is warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00198-022-06395-x. Springer London 2022-05-17 2022 /pmc/articles/PMC9463274/ /pubmed/35578134 http://dx.doi.org/10.1007/s00198-022-06395-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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, visithttp://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Konstantelos, N. Rzepka, A. M. Burden, A. M. Cheung, A. M. Kim, S. Grootendorst, P. Cadarette, S. M. Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title | Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title_full | Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title_fullStr | Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title_full_unstemmed | Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title_short | Fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
title_sort | fracture definitions in observational osteoporosis drug effects studies that leverage healthcare administrative (claims) data: a scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463274/ https://www.ncbi.nlm.nih.gov/pubmed/35578134 http://dx.doi.org/10.1007/s00198-022-06395-x |
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