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Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data

As incidences of osteoporotic hip fractures (OHFs) have increased, identifying OHFs has become important to establishing the medical guidelines for their management. This study was conducted to develop an operational definition to identify patients with OHFs using two diagnosis codes and eight proce...

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Autores principales: Lee, Young-Kyun, Yoo, Jun-Il, Kim, Tae-Young, Ha, Yong-Chan, Koo, Kyung-Hoi, Choi, Hangseok, Lee, Seung-Mi, Suh, Dong-Churl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498336/
https://www.ncbi.nlm.nih.gov/pubmed/36141336
http://dx.doi.org/10.3390/healthcare10091724
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author Lee, Young-Kyun
Yoo, Jun-Il
Kim, Tae-Young
Ha, Yong-Chan
Koo, Kyung-Hoi
Choi, Hangseok
Lee, Seung-Mi
Suh, Dong-Churl
author_facet Lee, Young-Kyun
Yoo, Jun-Il
Kim, Tae-Young
Ha, Yong-Chan
Koo, Kyung-Hoi
Choi, Hangseok
Lee, Seung-Mi
Suh, Dong-Churl
author_sort Lee, Young-Kyun
collection PubMed
description As incidences of osteoporotic hip fractures (OHFs) have increased, identifying OHFs has become important to establishing the medical guidelines for their management. This study was conducted to develop an operational definition to identify patients with OHFs using two diagnosis codes and eight procedure codes from health insurance claims data and to assess the operational definition’s validity through a chart review. The study extracted data on OHFs from 522 patients who underwent hip surgeries based on diagnosis codes. Orthopedic surgeons then reviewed these patients’ medical records and radiographs to identify those with true OHFs. The validities of nine different algorithms of operational definitions, developed using a combination of three levels of diagnosis codes and eight procedure codes, were assessed using various statistics. The developed operational definition showed an accuracy above 0.97 and an area under the receiver operating characteristic curve above 0.97, indicating excellent discriminative power. This study demonstrated that the operational definition that combines diagnosis and procedure codes shows a high validity in detecting OHFs and can be used as a valid tool to detect OHFs from big health claims data.
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spelling pubmed-94983362022-09-23 Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data Lee, Young-Kyun Yoo, Jun-Il Kim, Tae-Young Ha, Yong-Chan Koo, Kyung-Hoi Choi, Hangseok Lee, Seung-Mi Suh, Dong-Churl Healthcare (Basel) Article As incidences of osteoporotic hip fractures (OHFs) have increased, identifying OHFs has become important to establishing the medical guidelines for their management. This study was conducted to develop an operational definition to identify patients with OHFs using two diagnosis codes and eight procedure codes from health insurance claims data and to assess the operational definition’s validity through a chart review. The study extracted data on OHFs from 522 patients who underwent hip surgeries based on diagnosis codes. Orthopedic surgeons then reviewed these patients’ medical records and radiographs to identify those with true OHFs. The validities of nine different algorithms of operational definitions, developed using a combination of three levels of diagnosis codes and eight procedure codes, were assessed using various statistics. The developed operational definition showed an accuracy above 0.97 and an area under the receiver operating characteristic curve above 0.97, indicating excellent discriminative power. This study demonstrated that the operational definition that combines diagnosis and procedure codes shows a high validity in detecting OHFs and can be used as a valid tool to detect OHFs from big health claims data. MDPI 2022-09-08 /pmc/articles/PMC9498336/ /pubmed/36141336 http://dx.doi.org/10.3390/healthcare10091724 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Young-Kyun
Yoo, Jun-Il
Kim, Tae-Young
Ha, Yong-Chan
Koo, Kyung-Hoi
Choi, Hangseok
Lee, Seung-Mi
Suh, Dong-Churl
Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title_full Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title_fullStr Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title_full_unstemmed Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title_short Validation of Operational Definition to Identify Patients with Osteoporotic Hip Fractures in Administrative Claims Data
title_sort validation of operational definition to identify patients with osteoporotic hip fractures in administrative claims data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498336/
https://www.ncbi.nlm.nih.gov/pubmed/36141336
http://dx.doi.org/10.3390/healthcare10091724
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