Osteoporosis-related fracture case definitions for population-based administrative data
<p>Abstract</p> <p>Background</p> <p>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 objective...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2012-05-01
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| Series: | BMC Public Health |
| Online Access: | http://www.biomedcentral.com/1471-2458/12/301 |
| _version_ | 1811319860777451520 |
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| author | Lix Lisa M Azimaee Mahmoud Osman Beliz Caetano Patricia Morin Suzanne Metge Colleen Goltzman David Kreiger Nancy Prior Jerilynn Leslie William D |
| author_facet | Lix Lisa M Azimaee Mahmoud Osman Beliz Caetano Patricia Morin Suzanne Metge Colleen Goltzman David Kreiger Nancy Prior Jerilynn Leslie William D |
| author_sort | Lix Lisa M |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>The validity of administrative data for estimating fracture incidence depends on the site and features of the case definition.</p> |
| first_indexed | 2024-04-13T12:49:45Z |
| format | Article |
| id | doaj.art-ee1b1949282a4ba889b2cee6ae877a80 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-04-13T12:49:45Z |
| publishDate | 2012-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-ee1b1949282a4ba889b2cee6ae877a802022-12-22T02:46:16ZengBMCBMC Public Health1471-24582012-05-0112130110.1186/1471-2458-12-301Osteoporosis-related fracture case definitions for population-based administrative dataLix Lisa MAzimaee MahmoudOsman BelizCaetano PatriciaMorin SuzanneMetge ColleenGoltzman DavidKreiger NancyPrior JerilynnLeslie William D<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>The validity of administrative data for estimating fracture incidence depends on the site and features of the case definition.</p>http://www.biomedcentral.com/1471-2458/12/301 |
| spellingShingle | Lix Lisa M Azimaee Mahmoud Osman Beliz Caetano Patricia Morin Suzanne Metge Colleen Goltzman David Kreiger Nancy Prior Jerilynn Leslie William D Osteoporosis-related fracture case definitions for population-based administrative data BMC Public Health |
| title | Osteoporosis-related fracture case definitions for population-based administrative data |
| title_full | Osteoporosis-related fracture case definitions for population-based administrative data |
| title_fullStr | Osteoporosis-related fracture case definitions for population-based administrative data |
| title_full_unstemmed | Osteoporosis-related fracture case definitions for population-based administrative data |
| title_short | Osteoporosis-related fracture case definitions for population-based administrative data |
| title_sort | osteoporosis related fracture case definitions for population based administrative data |
| url | http://www.biomedcentral.com/1471-2458/12/301 |
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