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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9498336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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