Skip to main content
Top
Published in: BMC Public Health 1/2012

Open Access 01-12-2012 | Research article

Osteoporosis-related fracture case definitions for population-based administrative data

Authors: Lisa M Lix, Mahmoud Azimaee, Beliz Acan Osman, Patricia Caetano, Suzanne Morin, Colleen Metge, David Goltzman, Nancy Kreiger, Jerilynn Prior, William D Leslie

Published in: BMC Public Health | Issue 1/2012

Login to get access

Abstract

Background

Population-based administrative data have been used to study osteoporosis-related fracture risk factors and outcomes, but there has been limited research about the validity of these data for ascertaining fracture cases. The objectives of this study were to: (a) compare fracture incidence estimates from administrative data with estimates from population-based clinically-validated data, and (b) test for differences in incidence estimates from multiple administrative data case definitions.

Methods

Thirty-five case definitions for incident fractures of the hip, wrist, humerus, and clinical vertebrae were constructed using diagnosis codes in hospital data and diagnosis and service codes in physician billing data from Manitoba, Canada. Clinically-validated fractures were identified from the Canadian Multicentre Osteoporosis Study (CaMos). Generalized linear models were used to test for differences in incidence estimates.

Results

For hip fracture, sex-specific differences were observed in the magnitude of under- and over-ascertainment of administrative data case definitions when compared with CaMos data. The length of the fracture-free period to ascertain incident cases had a variable effect on over-ascertainment across fracture sites, as did the use of imaging, fixation, or repair service codes. Case definitions based on hospital data resulted in under-ascertainment of incident clinical vertebral fractures. There were no significant differences in trend estimates for wrist, humerus, and clinical vertebral case definitions.

Conclusions

The validity of administrative data for estimating fracture incidence depends on the site and features of the case definition.
Appendix
Available only for authorised users
Literature
1.
go back to reference Tenenhouse A, Joseph L, Kreiger N, Poliquin S, Murray TM, Blondeau L, Berger C, Hanley DA, Prior JC: Estimation of the prevalence of low bone density in Canadian women and men using a population-specific DXA reference standard: the Canadian Multicentre Osteoporosis Study (CaMos). Osteoporos Int. 2000, 11: 897-904.CrossRefPubMed Tenenhouse A, Joseph L, Kreiger N, Poliquin S, Murray TM, Blondeau L, Berger C, Hanley DA, Prior JC: Estimation of the prevalence of low bone density in Canadian women and men using a population-specific DXA reference standard: the Canadian Multicentre Osteoporosis Study (CaMos). Osteoporos Int. 2000, 11: 897-904.CrossRefPubMed
2.
go back to reference Melton LJ, O'Fallon WM, Crowson CS: Fracture incidence in Olmsted County, Minnesota: comparison of urban with rural rates and changes in urban rates over time. Osteoporos Int. 1999, 9: 29-37.CrossRefPubMed Melton LJ, O'Fallon WM, Crowson CS: Fracture incidence in Olmsted County, Minnesota: comparison of urban with rural rates and changes in urban rates over time. Osteoporos Int. 1999, 9: 29-37.CrossRefPubMed
3.
go back to reference Ray WA, Griffin MR, West R, Strand L, Melton LJ: Incidence of hip fracture in Saskatchewan, Canada, 1976‒1985. Am J Epidemiol. 1990, 131: 502-509.PubMed Ray WA, Griffin MR, West R, Strand L, Melton LJ: Incidence of hip fracture in Saskatchewan, Canada, 1976‒1985. Am J Epidemiol. 1990, 131: 502-509.PubMed
4.
go back to reference Kanis JA, Johnell O, Oden A, Borgstrom F, Zethraeus N, De Laet C, Jonsson B: The risk and burden of vertebral fractures in Sweden. Osteoporos Int. 2004, 15: 20-26.CrossRefPubMed Kanis JA, Johnell O, Oden A, Borgstrom F, Zethraeus N, De Laet C, Jonsson B: The risk and burden of vertebral fractures in Sweden. Osteoporos Int. 2004, 15: 20-26.CrossRefPubMed
5.
go back to reference Goettsch WG, de Jong RB, Kramarz P, Herings RM: Developments of the incidence of osteoporosis in The Netherlands: a PHARMO study. Pharmacoepidemiol Drug Saf. 2007, 16: 166-172.CrossRefPubMed Goettsch WG, de Jong RB, Kramarz P, Herings RM: Developments of the incidence of osteoporosis in The Netherlands: a PHARMO study. Pharmacoepidemiol Drug Saf. 2007, 16: 166-172.CrossRefPubMed
7.
go back to reference Leslie WD, Tsang JF, Caetano PA, Lix LM: Number of osteoporotic sites and fracture risk assessment: a cohort study from the Manitoba Bone Density Program. J Bone Miner Res. 2007, 22: 476-483.CrossRefPubMed Leslie WD, Tsang JF, Caetano PA, Lix LM: Number of osteoporotic sites and fracture risk assessment: a cohort study from the Manitoba Bone Density Program. J Bone Miner Res. 2007, 22: 476-483.CrossRefPubMed
8.
go back to reference Colon-Emeric CS, Biggs DP, Schenck AP, Lyles KW: Risk factors for hip fracture in skilled nursing facilities: who should be evaluated?. Osteoporos Int. 2003, 14: 484-489.CrossRefPubMed Colon-Emeric CS, Biggs DP, Schenck AP, Lyles KW: Risk factors for hip fracture in skilled nursing facilities: who should be evaluated?. Osteoporos Int. 2003, 14: 484-489.CrossRefPubMed
9.
go back to reference Cooke AL, Metge C, Lix L, Prior HJ, Leslie WD: Tamoxifen use and osteoporotic fracture risk: a population-based analysis. J Clin Oncol. 2008, 26: 5227-5232.CrossRefPubMed Cooke AL, Metge C, Lix L, Prior HJ, Leslie WD: Tamoxifen use and osteoporotic fracture risk: a population-based analysis. J Clin Oncol. 2008, 26: 5227-5232.CrossRefPubMed
10.
go back to reference Wilting I, de Vries F, Thio BM, Cooper C, Heerdink ER, Leufkens HG, Nolen WA, Egberts AC, van Staa TP: Lithium use and the risk of fractures. Bone. 2007, 40: 1252-1258.CrossRefPubMed Wilting I, de Vries F, Thio BM, Cooper C, Heerdink ER, Leufkens HG, Nolen WA, Egberts AC, van Staa TP: Lithium use and the risk of fractures. Bone. 2007, 40: 1252-1258.CrossRefPubMed
11.
go back to reference Bolton JM, Metge C, Lix L, Prior H, Sareen J, Leslie WD: Fracture risk from psychotropic medications: a population-based analysis. J Clin Psychopharmacol. 2008, 28: 384-391.CrossRefPubMed Bolton JM, Metge C, Lix L, Prior H, Sareen J, Leslie WD: Fracture risk from psychotropic medications: a population-based analysis. J Clin Psychopharmacol. 2008, 28: 384-391.CrossRefPubMed
12.
go back to reference Sund R: Utilization of routinely collected administrative data in monitoring the incidence of aging dependent hip fracture. Epidemiol Perspect Innov. 2007, 4: 2-CrossRefPubMedPubMedCentral Sund R: Utilization of routinely collected administrative data in monitoring the incidence of aging dependent hip fracture. Epidemiol Perspect Innov. 2007, 4: 2-CrossRefPubMedPubMedCentral
13.
go back to reference Narongroeknawin P, Patkar NM, Shakoory B, Jain A, Curtis JR, Delzell E, Lander PH, Lopez-Ben RR, Pitt MJ, Safford MM, et al: Validation of diagnostic codes for subtrochanteric, diaphyseal, and atypical femoral fractures using administrative claims data. J Clin Densitom. 2012, 15: 92-102.CrossRefPubMed Narongroeknawin P, Patkar NM, Shakoory B, Jain A, Curtis JR, Delzell E, Lander PH, Lopez-Ben RR, Pitt MJ, Safford MM, et al: Validation of diagnostic codes for subtrochanteric, diaphyseal, and atypical femoral fractures using administrative claims data. J Clin Densitom. 2012, 15: 92-102.CrossRefPubMed
14.
go back to reference Curtis JR, Mudano AS, Solomon DH, Xi J, Melton ME, Saag KG: Identification and validation of vertebral compression fractures using administrative claims data. Med Care. 2009, 47: 69-72.CrossRefPubMedPubMedCentral Curtis JR, Mudano AS, Solomon DH, Xi J, Melton ME, Saag KG: Identification and validation of vertebral compression fractures using administrative claims data. Med Care. 2009, 47: 69-72.CrossRefPubMedPubMedCentral
15.
go back to reference Jean S, Candas B, Belzile E, Morin S, Bessette L, Dodin S, Brown JP: Algorithms can be used to identify fragility fracture cases in physician-claims databases. Osteoporos Int. 2012, 23: 483-501.CrossRefPubMed Jean S, Candas B, Belzile E, Morin S, Bessette L, Dodin S, Brown JP: Algorithms can be used to identify fragility fracture cases in physician-claims databases. Osteoporos Int. 2012, 23: 483-501.CrossRefPubMed
16.
go back to reference de Bruijn B, Cranney A, O'Donnell S, Martin JD, Forster AJ: Identifying wrist fracture patients with high accuracy by automatic categorization of X-ray reports. J Am Med Inform Assoc. 2006, 13: 696-698.CrossRefPubMedPubMedCentral de Bruijn B, Cranney A, O'Donnell S, Martin JD, Forster AJ: Identifying wrist fracture patients with high accuracy by automatic categorization of X-ray reports. J Am Med Inform Assoc. 2006, 13: 696-698.CrossRefPubMedPubMedCentral
17.
go back to reference Fox KM, Reuland M, Hawkes WG, Hebel JR, Hudson J, Zimmerman SI, Kenzora J, Magaziner J: Accuracy of medical records in hip fracture. J Am Geriatr Soc. 1998, 46: 745-750.CrossRefPubMed Fox KM, Reuland M, Hawkes WG, Hebel JR, Hudson J, Zimmerman SI, Kenzora J, Magaziner J: Accuracy of medical records in hip fracture. J Am Geriatr Soc. 1998, 46: 745-750.CrossRefPubMed
18.
go back to reference Max W, Sinnot P, Kao C, Sung HY, Rice DP: The burden of osteoporosis in California, 1998. Osteoporos Int. 2002, 13: 493-500.CrossRefPubMed Max W, Sinnot P, Kao C, Sung HY, Rice DP: The burden of osteoporosis in California, 1998. Osteoporos Int. 2002, 13: 493-500.CrossRefPubMed
19.
go back to reference Rubin BR, Rene AA, Mains DA, Marshall MA: An analysis of osteoporosis-related hip fractures using Hospital Discharge Data. J Am Osteopath Assoc. 2003, 103: 169-175.PubMed Rubin BR, Rene AA, Mains DA, Marshall MA: An analysis of osteoporosis-related hip fractures using Hospital Discharge Data. J Am Osteopath Assoc. 2003, 103: 169-175.PubMed
20.
go back to reference Watson D, Katz A, Reid RJ, Bogdanovic B, Roos NP, Heppner P: Family physician workloads and access to care in Winnipeg, 1991 to 2001. Can Med Assoc J. 2004, 171: 339-342.CrossRef Watson D, Katz A, Reid RJ, Bogdanovic B, Roos NP, Heppner P: Family physician workloads and access to care in Winnipeg, 1991 to 2001. Can Med Assoc J. 2004, 171: 339-342.CrossRef
21.
go back to reference Huzel L, Roos LL, Anthonisen NR, Manfreda J: Diagnosing asthma: the fit between survey and administrative database. Can Respir J. 2002, 9: 407-412.CrossRefPubMed Huzel L, Roos LL, Anthonisen NR, Manfreda J: Diagnosing asthma: the fit between survey and administrative database. Can Respir J. 2002, 9: 407-412.CrossRefPubMed
22.
go back to reference Robinson JR, Young TK, Roos LL, Gelskey DE: Estimating the burden of disease. Comparing administrative data and self-reports. Med Care. 1997, 35: 932‒-947.CrossRefPubMed Robinson JR, Young TK, Roos LL, Gelskey DE: Estimating the burden of disease. Comparing administrative data and self-reports. Med Care. 1997, 35: 932‒-947.CrossRefPubMed
23.
go back to reference Young TK, Roos NP, Hammerstrand KM: Estimated burden of diabetes-mellitus in Manitoba according to health-insurance claims: a pilot study. Can Med Assoc J. 1991, 144: 318-324. Young TK, Roos NP, Hammerstrand KM: Estimated burden of diabetes-mellitus in Manitoba according to health-insurance claims: a pilot study. Can Med Assoc J. 1991, 144: 318-324.
24.
go back to reference Hux JE, Ivis F, Flintoft V, Bica A: Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care. 2002, 25: 512-516.CrossRefPubMed Hux JE, Ivis F, Flintoft V, Bica A: Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care. 2002, 25: 512-516.CrossRefPubMed
25.
go back to reference Leslie WD, O'Donnell S, Jean S, Lagace C, Walsh P, Bancej C, Morin S, Hanley DA, Papaioannou A: Trends in hip fracture rates in Canada. JAMA. 2009, 302: 883-889.CrossRefPubMed Leslie WD, O'Donnell S, Jean S, Lagace C, Walsh P, Bancej C, Morin S, Hanley DA, Papaioannou A: Trends in hip fracture rates in Canada. JAMA. 2009, 302: 883-889.CrossRefPubMed
26.
go back to reference Kreiger N, Tenenhouse A, Joseph L, Mackenzie T, Poliquin S, Brown JP, Prior JC, Rittmaster RS: The Canadian Multicentre Osteoporosis Study (CaMos): background, rationale, methods. Can J Aging. 1999, 18: 376-387.CrossRef Kreiger N, Tenenhouse A, Joseph L, Mackenzie T, Poliquin S, Brown JP, Prior JC, Rittmaster RS: The Canadian Multicentre Osteoporosis Study (CaMos): background, rationale, methods. Can J Aging. 1999, 18: 376-387.CrossRef
27.
go back to reference Papaioannou A, Joseph L, Ioannidis G, Berger C, Anastassiades T, Brown JP, Hanley DA, Hopman W, Josse RG, Kirkland S, et al: Risk factors associated with incident clinical vertebral and nonvertebral fractures in postmenopausal women: the Canadian Multicentre Osteoporosis Study (CaMos). Osteoporos Int. 2005, 16: 568-578.CrossRefPubMed Papaioannou A, Joseph L, Ioannidis G, Berger C, Anastassiades T, Brown JP, Hanley DA, Hopman W, Josse RG, Kirkland S, et al: Risk factors associated with incident clinical vertebral and nonvertebral fractures in postmenopausal women: the Canadian Multicentre Osteoporosis Study (CaMos). Osteoporos Int. 2005, 16: 568-578.CrossRefPubMed
28.
go back to reference Ioannidis G, Papaioannou A, Hopman WM, khtar-Danesh N, Anastassiades T, Pickard L, Kennedy CC, Prior JC, Olszynski WP, Davison KS, et al: Relation between fractures and mortality: results from the Canadian Multicentre Osteoporosis Study. Can Med Assoc J. 2009, 181: 265-271.CrossRef Ioannidis G, Papaioannou A, Hopman WM, khtar-Danesh N, Anastassiades T, Pickard L, Kennedy CC, Prior JC, Olszynski WP, Davison KS, et al: Relation between fractures and mortality: results from the Canadian Multicentre Osteoporosis Study. Can Med Assoc J. 2009, 181: 265-271.CrossRef
29.
go back to reference Kmetic A, Joseph L, Berger C, Tenenhouse A: Multiple imputation to account for missing data in a survey: estimating the prevalence of osteoporosis. Epidemiology. 2002, 13: 437-444.CrossRefPubMed Kmetic A, Joseph L, Berger C, Tenenhouse A: Multiple imputation to account for missing data in a survey: estimating the prevalence of osteoporosis. Epidemiology. 2002, 13: 437-444.CrossRefPubMed
30.
go back to reference Virnig B, Durham SB, Folsom AR, Cerhan J: Linking the Iowa Women's Health Study cohort to Medicare data: linkage results and application to hip fracture. Am J Epidemiol. 2010, 172: 327-333.CrossRefPubMedPubMedCentral Virnig B, Durham SB, Folsom AR, Cerhan J: Linking the Iowa Women's Health Study cohort to Medicare data: linkage results and application to hip fracture. Am J Epidemiol. 2010, 172: 327-333.CrossRefPubMedPubMedCentral
31.
go back to reference Leslie WD, Lix LM, Yogendran MS: Validation of a case definition for osteoporosis disease surveillance. Osteoporos Int. 2010, 22: 37-46.CrossRefPubMed Leslie WD, Lix LM, Yogendran MS: Validation of a case definition for osteoporosis disease surveillance. Osteoporos Int. 2010, 22: 37-46.CrossRefPubMed
32.
go back to reference Lix LM, Yogendran M, Shaw SY, Burchill C, Metge C, Bond R: Population-based data sources for chronic disease surveillance. Chron Dis Can. 2008, 29: 31-38. Lix LM, Yogendran M, Shaw SY, Burchill C, Metge C, Bond R: Population-based data sources for chronic disease surveillance. Chron Dis Can. 2008, 29: 31-38.
33.
go back to reference Lix LM, Yogendran M, Leslie WD, Shaw SY, Baumgartner R, Bowman C, Metge C, Gumel A, James RC, Hux JF: Using multiple data features improved the validity of osteoporosis case ascertainment from administrative data. J Clin Epidemiol. 2008, 61: 1250-1260.CrossRefPubMed Lix LM, Yogendran M, Leslie WD, Shaw SY, Baumgartner R, Bowman C, Metge C, Gumel A, James RC, Hux JF: Using multiple data features improved the validity of osteoporosis case ascertainment from administrative data. J Clin Epidemiol. 2008, 61: 1250-1260.CrossRefPubMed
34.
go back to reference Evans JG, Seagroatt V, Goldacre MJ: Secular trends in proximal femoral fracture, Oxford record linkage study area and England 1968‒86. J Epidemiol Community Health. 1997, 51: 424-429.CrossRefPubMedPubMedCentral Evans JG, Seagroatt V, Goldacre MJ: Secular trends in proximal femoral fracture, Oxford record linkage study area and England 1968‒86. J Epidemiol Community Health. 1997, 51: 424-429.CrossRefPubMedPubMedCentral
35.
go back to reference Baron JA, Lu-Yao G, Barrett J, McLerran D, Fisher ES: Internal validation of Medicare claims data. Epidemiology. 1994, 5: 541-544.CrossRefPubMed Baron JA, Lu-Yao G, Barrett J, McLerran D, Fisher ES: Internal validation of Medicare claims data. Epidemiology. 1994, 5: 541-544.CrossRefPubMed
36.
go back to reference Curtis JR, Taylor AJ, Matthews RS, Ray MN, Becker DJ, Gary LC, Kilgore ML, Morrisey MA, Saag KG, Warriner A, et al: "Pathologic" fractures: should these be included in epidemiologic studies of osteoporotic fractures?. Osteoporos Int. 2009, 20: 1969-1972.CrossRefPubMedPubMedCentral Curtis JR, Taylor AJ, Matthews RS, Ray MN, Becker DJ, Gary LC, Kilgore ML, Morrisey MA, Saag KG, Warriner A, et al: "Pathologic" fractures: should these be included in epidemiologic studies of osteoporotic fractures?. Osteoporos Int. 2009, 20: 1969-1972.CrossRefPubMedPubMedCentral
38.
go back to reference McCulloch CE, Searle SR: Generalized, Linear, and Mixed Models. 2001, Wiley, New York McCulloch CE, Searle SR: Generalized, Linear, and Mixed Models. 2001, Wiley, New York
39.
go back to reference Hedeker D: Gibbons RD: Longitudinal Data Analysis. 2006, Wiley, Hoboken, NJ Hedeker D: Gibbons RD: Longitudinal Data Analysis. 2006, Wiley, Hoboken, NJ
40.
go back to reference Ray WA, Griffin MR, Fought RL, Adams ML: Identification of fractures from computerized Medicare files. J Clin Epidemiol. 1992, 45: 703-714.CrossRefPubMed Ray WA, Griffin MR, Fought RL, Adams ML: Identification of fractures from computerized Medicare files. J Clin Epidemiol. 1992, 45: 703-714.CrossRefPubMed
41.
go back to reference Orwig DL, Chan J, Magaziner J: Hip fracture and its consequences: differences between men and women. Orthop Clin North Am. 2006, 37: 611-622.CrossRefPubMed Orwig DL, Chan J, Magaziner J: Hip fracture and its consequences: differences between men and women. Orthop Clin North Am. 2006, 37: 611-622.CrossRefPubMed
42.
go back to reference Hoenig JM, Heisey DM: The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat. 2001, 55: 19-24.CrossRef Hoenig JM, Heisey DM: The abuse of power: the pervasive fallacy of power calculations for data analysis. Am Stat. 2001, 55: 19-24.CrossRef
43.
go back to reference Leslie WD, O'Donnell S, Lagace C, Walsh P, Bancej C, Jean S, Siminoski K, Kaiser S, Kendler DL, Jaglal S: Population-based Canadian hip fracture rates with international comparisons. Osteoporos Int. 2010, 21: 1317-1322.CrossRefPubMed Leslie WD, O'Donnell S, Lagace C, Walsh P, Bancej C, Jean S, Siminoski K, Kaiser S, Kendler DL, Jaglal S: Population-based Canadian hip fracture rates with international comparisons. Osteoporos Int. 2010, 21: 1317-1322.CrossRefPubMed
44.
go back to reference Virnig B, Taylor BC, Ensrud KE, Paudel M, Durham S, Schousboe JT: Incidence of and predictors of false negative self-reports of hip fracture in cohort studies: the Study of Osteoporotic Fractures (SOF). J Bone Miner Res. 2012, 26 (Suppl 1): -Available at [www.jbmr.org]. Accessed [April 7, 2012] Virnig B, Taylor BC, Ensrud KE, Paudel M, Durham S, Schousboe JT: Incidence of and predictors of false negative self-reports of hip fracture in cohort studies: the Study of Osteoporotic Fractures (SOF). J Bone Miner Res. 2012, 26 (Suppl 1): -Available at [www.jbmr.org]. Accessed [April 7, 2012]
Metadata
Title
Osteoporosis-related fracture case definitions for population-based administrative data
Authors
Lisa M Lix
Mahmoud Azimaee
Beliz Acan Osman
Patricia Caetano
Suzanne Morin
Colleen Metge
David Goltzman
Nancy Kreiger
Jerilynn Prior
William D Leslie
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2012
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-12-301

Other articles of this Issue 1/2012

BMC Public Health 1/2012 Go to the issue