Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases

Lix, Lisa M.; Yogendran, Marina; Leslie, William D.; Shaw, Souradet Y.; Baumgartner, Richard N.; Bowman, Christopher; Metge, Colleen; Gumel, Abba B.; Hux, Janet E.; James, Robert C.

doi:10.1016/j.jclinepi.2008.02.002

Cited by 64 publications

(54 citation statements)

References 52 publications

(38 reference statements)

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“…Results are consistent with previous studies involving the validation of algorithms for osteoporosis and fracture surveillance using administrative data [5][6][7][8]. While results are slightly lower than self-reported estimates of diagnosed osteoporosis from the Canadian Community Health Survey (CCHS) which showed 11.9 % of Canadians 50 years and older reported they were diagnosed with osteoporosis by a health professional in 2009 [21].…”

Section: Discussionsupporting

confidence: 88%

“…Table 1 lists the algorithms adopted by the CCDSS Osteoporosis Working Group for osteoporosis and osteoporosis-related fractures (and their corresponding ICD-9-CM and ICD-10-CA codes) for future testing. Working group members' decision regarding which algorithms to adopt was based on results from this feasibility study as well as results from the aforementioned validation studies [5][6][7][8], published osteoporosis prevalence and fracture incidence estimates [15][16][17], and the availability/completeness of the administrative databases required.…”

Section: As Well As Recommendations From Experts In Ascertaining Ostementioning

confidence: 99%

“…Osteoporosis and fracture algorithms using diagnostic codes found in administrative databases have been constructed and validated for surveillance purposes [5][6][7][8][9][10][11]. Leslie et al validated algorithms to identify cases of diagnosed osteoporosis using administrative data and demonstrated that a relatively simple algorithm which combined hospitalizations and physician visits could achieve an acceptable level of sensitivity, specificity, and accuracy [5].…”

Section: Introductionmentioning

confidence: 99%

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Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

O’Donnell

2013

Arch Osteoporos

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Summary-Using administrative data healthcare databases from five Canadian provinces, we compared prevalence estimates of diagnosed osteoporosis and incidence rates for related fractures in Canada. The algorithms adopted showed consistent age and sex patterns across all provinces and will be suitable for national surveillance and monitoring.Purpose-This study aims to evaluate the feasibility of using provincial population-based administrative data to develop a national surveillance system of diagnosed osteoporosis and related fractures (forearm, humerus, vertebra, pelvis, and hip) in Canada.Methods-Linked healthcare databases from five provinces representing approximately 85 % of the Canadian population were used. Multiple algorithms combining hospitalizations, physician visits, and osteoporosis prescription drug dispensations were evaluated in each province. The adopted algorithms for diagnosed osteoporosis and incident fractures combined hospitalizations and physician visits based on 3 years and 1 year of data, respectively. Sex-specific agestandardized osteoporosis prevalence and fracture incidence rates were estimated for each province from

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Section: Discussionsupporting

confidence: 88%

Section: As Well As Recommendations From Experts In Ascertaining Ostementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

O’Donnell

2013

Arch Osteoporos

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“…Manitoba's administrative health data have been extensively used in chronic disease research and surveillance studies. [10][11][12] Ethics approval was received from the Manitoba Health Research Ethics Board and permission to access the study data was provided by the Manitoba Health Information Privacy Committee.…”

Section: Data Sourcesmentioning

confidence: 99%

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

Lix

Kuwornu

Kroeker

et al. 2016

Health Promot Chronic Dis Prev Can

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Introduction: Changes in physician reimbursement policies may hinder the collection of billing claims in administrative data; this can result in biased estimates of disease prevalence and incidence. However, the magnitude of data loss is largely unknown. The purpose of this study was to estimate completeness of capture of disease cases for Manitoba physicians paid by fee-for-service (FFS) and non-fee-for-service (NFFS) methods.

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“…For example, links to prescription data can improve the capture of conditions with disease-specific medications such as diabetes and asthma. The eventual linkage of goldstandard clinical data or laboratory evidence will further improve case identification at the population level (54).…”

Section: Chronic Disease Surveillance and Improved Prevalence Estimatesmentioning

confidence: 99%

Administrative Record Linkage as a Tool for Public Health Research

Jutte

Roos

Brownell

2011

Annu. Rev. Public Health

279

247

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Linked administrative databases offer a powerful resource for studying important public health issues. Methods developed and implemented in several jurisdictions across the globe have achieved high-quality linkages for conducting health and social research without compromising confidentiality. Key data available for linkage include health services utilization, population registries, place of residence, family ties, educational outcomes, and use of social services. Linking events for large populations of individuals across disparate sources and over time permits a range of research possibilities, including the capacity to study lowprevalence exposure-disease associations, multiple outcome domains within the same cohort of individuals, service utilization and chronic disease patterns, and life course and transgenerational transmission of health. Limited information on variables such as individual-level socioeconomic status (SES) and social supports is outweighed by strengths that include comprehensive follow-up, continuous data collection, objective measures, and relatively low expense. Ever advancing methodologies and data holdings guarantee that research using linked administrative databases will make increasingly important contributions to public health research.

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Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases

Cited by 64 publications

References 52 publications

Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

Estimating the completeness of physician billing claims for diabetes case ascertainment using population-based prescription drug data

Administrative Record Linkage as a Tool for Public Health Research

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