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Published in: Archives of Osteoporosis 1/2021

01-12-2021 | Osteoporosis | Original Article

Assessment of site-specific X-ray procedure codes for fracture ascertainment: a registry-based cohort study

Authors: William D. Leslie, Riley Epp, Suzanne N. Morin, Lisa M. Lix

Published in: Archives of Osteoporosis | Issue 1/2021

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Abstract

Summary

Site-specific X-ray procedure codes are a useful ancillary source of information for identifying fractures in healthcare administrative and claims data.

Introduction

Real-world evaluation of fracture epidemiology at the population level from electronic healthcare information, such as administrative data, requires comprehensive data sources and validated case definitions. Only hip fractures are routinely hospitalized, and the identification of most osteoporosis-related fractures which are non-hospitalized fractures remains challenging. Plain X-rays (radiographs) are first-line tests for fracture diagnosis and are frequently repeated to monitor fracture healing, and claims data related to radiologic procedures are available in many healthcare systems. We hypothesized that temporal clustering in plain X-ray procedure codes might be an ancillary source of fracture data.

Methods

We identified individuals age 40 years and older in Manitoba Bone Mineral Density (BMD) Registry with a fracture diagnosis (hip, forearm, humerus, clinical vertebral) before or following a BMD test. A subset underwent detailed review of X-rays to verify an acute fracture. We examined the association between fracture diagnosis and numbers of site-specific X-ray procedures.

Results

The registry cohort included 7793 individuals with a fracture in the previous 5 years and 8417 incident fractures. The X-ray review cohort included 167 radiologically-verified fractures. The number of site-specific X-ray codes was greater in those with vs without fracture (all P < 0.001). The number of days with site-specific X-rays was strongly associated with a fracture diagnosis (area under the curve 0.90 to 0.99 for all non-vertebral fractures, 0.66 to 0.75 for clinical vertebral fractures). There was good agreement between the date of fracture diagnosis and the first X-ray at all non-vertebral fracture sites (Spearman correlation range 0.65 to 0.99), but this was lower for clinical vertebral fractures (range 0.29 to 0.59).

Conclusions

Temporal clustering in site-specific X-ray procedures was associated with a corresponding fracture diagnosis in administrative medical records. Non-vertebral fracture sites were more strongly associated with X-ray procedures than clinical vertebral fractures.
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Literature
1.
go back to reference Compston JE, McClung MR, Leslie WD (2019) Osteoporosis. The Lancet 393(10169):364–376CrossRef Compston JE, McClung MR, Leslie WD (2019) Osteoporosis. The Lancet 393(10169):364–376CrossRef
2.
go back to reference Roos LL, Gupta S, Soodeen RA, Jebamani L (2005) Data quality in an information-rich environment: Canada as an example. Can J Aging 24(Suppl 1):153–170CrossRef Roos LL, Gupta S, Soodeen RA, Jebamani L (2005) Data quality in an information-rich environment: Canada as an example. Can J Aging 24(Suppl 1):153–170CrossRef
3.
go back to reference Connelly R, Playford CJ, Gayle V, Dibben C (2016) The role of administrative data in the big data revolution in social science research. Soc Sci Res 59:1–12CrossRef Connelly R, Playford CJ, Gayle V, Dibben C (2016) The role of administrative data in the big data revolution in social science research. Soc Sci Res 59:1–12CrossRef
4.
go back to reference Helgeland J, Kristoffersen DT, Skyrud KD, Lindman AS (2016) Variation between hospitals with regard to diagnostic practice, coding accuracy, and case-mix. A retrospective validation study of administrative data versus medical records for estimating 30-day mortality after hip fracture. PLoS One 11(5):e0156075CrossRef Helgeland J, Kristoffersen DT, Skyrud KD, Lindman AS (2016) Variation between hospitals with regard to diagnostic practice, coding accuracy, and case-mix. A retrospective validation study of administrative data versus medical records for estimating 30-day mortality after hip fracture. PLoS One 11(5):e0156075CrossRef
5.
go back to reference Sing CW, Woo YC, Lee ACH, Lam JKY, Chu JKP, Wong ICK et al (2017) Validity of major osteoporotic fracture diagnosis codes in the clinical data analysis and reporting system in Hong Kong. Pharmacoepidemiol Drug Saf 26(8):973–976CrossRef Sing CW, Woo YC, Lee ACH, Lam JKY, Chu JKP, Wong ICK et al (2017) Validity of major osteoporotic fracture diagnosis codes in the clinical data analysis and reporting system in Hong Kong. Pharmacoepidemiol Drug Saf 26(8):973–976CrossRef
6.
go back to reference Shim YB, Park JA, Nam JH, Hong SH, Kim JW, Jeong J et al (2020) Incidence and risk factors of subsequent osteoporotic fracture: a nationwide cohort study in South Korea. Arch Osteoporos 15(1):180CrossRef Shim YB, Park JA, Nam JH, Hong SH, Kim JW, Jeong J et al (2020) Incidence and risk factors of subsequent osteoporotic fracture: a nationwide cohort study in South Korea. Arch Osteoporos 15(1):180CrossRef
7.
go back to reference Jean S, Candas B, Belzile E, Morin S, Bessette L, Dodin S et al (2012) Algorithms can be used to identify fragility fracture cases in physician-claims databases. Osteoporos Int 23(2):483–501CrossRef Jean S, Candas B, Belzile E, Morin S, Bessette L, Dodin S et al (2012) Algorithms can be used to identify fragility fracture cases in physician-claims databases. Osteoporos Int 23(2):483–501CrossRef
8.
go back to reference Wright NC, Daigle SG, Melton ME, Delzell ES, Balasubramanian A, Curtis JR (2019) The design and validation of a new algorithm to identify incident fractures in administrative claims data. J Bone Miner Res 34(10):1798–1807CrossRef Wright NC, Daigle SG, Melton ME, Delzell ES, Balasubramanian A, Curtis JR (2019) The design and validation of a new algorithm to identify incident fractures in administrative claims data. J Bone Miner Res 34(10):1798–1807CrossRef
9.
go back to reference Curtis JR, Mudano AS, Solomon DH, Xi J, Melton ME, Saag KG (2009) Identification and validation of vertebral compression fractures using administrative claims data. Med Care 47(1):69–72CrossRef Curtis JR, Mudano AS, Solomon DH, Xi J, Melton ME, Saag KG (2009) Identification and validation of vertebral compression fractures using administrative claims data. Med Care 47(1):69–72CrossRef
10.
go back to reference Leslie WD, Metge C (2003) Establishing a regional bone density program: lessons from the Manitoba experience. J Clin Densitom 6(3):275–282CrossRef Leslie WD, Metge C (2003) Establishing a regional bone density program: lessons from the Manitoba experience. J Clin Densitom 6(3):275–282CrossRef
11.
go back to reference Leslie WD, Caetano PA, Macwilliam LR, Finlayson GS (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom 8(1):25–30CrossRef Leslie WD, Caetano PA, Macwilliam LR, Finlayson GS (2005) Construction and validation of a population-based bone densitometry database. J Clin Densitom 8(1):25–30CrossRef
12.
go back to reference Lix LM, Azimaee M, Osman BA, Caetano P, Morin S, Metge C et al (2012) Osteoporosis-related fracture case definitions for population-based administrative data. BMC Public Health 12:301CrossRef Lix LM, Azimaee M, Osman BA, Caetano P, Morin S, Metge C et al (2012) Osteoporosis-related fracture case definitions for population-based administrative data. BMC Public Health 12:301CrossRef
13.
go back to reference Epp R, Alhrbi M, Ward L, Leslie WD (2018) Radiological validation of fracture definitions from administrative data. J Bone Miner Res 33(Supp 1):S275 Epp R, Alhrbi M, Ward L, Leslie WD (2018) Radiological validation of fracture definitions from administrative data. J Bone Miner Res 33(Supp 1):S275
14.
go back to reference O’Donnell S, Canadian Chronic Disease Surveillance System Osteoporosis Working Group (2013) Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study. Arch Osteoporos 8:143CrossRef O’Donnell S, Canadian Chronic Disease Surveillance System Osteoporosis Working Group (2013) Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study. Arch Osteoporos 8:143CrossRef
15.
go back to reference O’Donnell S, Group icwtOSEW (2018) Original quantitative research – screening, prevention and management of osteoporosis among Canadian adults. Health Promot Chronic Dis Prev Can 38(12):445–54CrossRef O’Donnell S, Group icwtOSEW (2018) Original quantitative research – screening, prevention and management of osteoporosis among Canadian adults. Health Promot Chronic Dis Prev Can 38(12):445–54CrossRef
16.
go back to reference Ensrud KE, Blackwell TL, Fink HA, Zhang J, Cauley JA, Cawthon PM et al (2016) What proportion of incident radiographic vertebral fractures in older men is clinically diagnosed and vice versa: a prospective study. J Bone Miner Res 31(8):1500–1503CrossRef Ensrud KE, Blackwell TL, Fink HA, Zhang J, Cauley JA, Cawthon PM et al (2016) What proportion of incident radiographic vertebral fractures in older men is clinically diagnosed and vice versa: a prospective study. J Bone Miner Res 31(8):1500–1503CrossRef
17.
go back to reference Fink HA, Milavetz DL, Palermo L, Nevitt MC, Cauley JA, Genant HK et al (2005) What proportion of incident radiographic vertebral deformities is clinically diagnosed and vice versa? J Bone Miner Res 20(7):1216–1222CrossRef Fink HA, Milavetz DL, Palermo L, Nevitt MC, Cauley JA, Genant HK et al (2005) What proportion of incident radiographic vertebral deformities is clinically diagnosed and vice versa? J Bone Miner Res 20(7):1216–1222CrossRef
Metadata
Title
Assessment of site-specific X-ray procedure codes for fracture ascertainment: a registry-based cohort study
Authors
William D. Leslie
Riley Epp
Suzanne N. Morin
Lisa M. Lix
Publication date
01-12-2021
Publisher
Springer London
Published in
Archives of Osteoporosis / Issue 1/2021
Print ISSN: 1862-3522
Electronic ISSN: 1862-3514
DOI
https://doi.org/10.1007/s11657-021-00980-z

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