Literature DB >> 25954325

Capture of osteoporosis and fracture information in an electronic medical record database from primary care.

Sonya Allin1, Sarah Munce1, Susan Jaglal2, Debra Butt2, Jacqueline Young3, Karen Tu2.   

Abstract

In a large database of EMR records, we explore: 1) completeness in capture of bone mineral density (BMD) T-scores required for diagnosis of osteoporosis; 2) concordance of BMD exam information with other osteoporosis information; and 3) evidence of osteoporosis screening among fracture patients. To explore completeness of exam capture, BMD exams in the EMR were related to a provincial billing database. To explore concordance of information and screening rates, 7500 EMR records were reviewed for osteoporosis and fracture details. Results show that 98% of exams billed to the province for EMR patients were found in the EMR. However, documented osteoporosis was substantiated with BMD results only 55.8% of the time. Of 151 charts for fragility fracture patients, 1 in 4 contained no evidence of osteoporosis investigation. In summary, while EMR information about osteoporosis is of variable quality, EMR records shed light on osteoporosis management indicators and completely capture BMD results.

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Year:  2014        PMID: 25954325      PMCID: PMC4419931     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  18 in total

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Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

Review 2.  Data quality improvement in general practice.

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Journal:  J Prim Care Community Health       Date:  2011-01-01

5.  Underdiagnosis of vertebral fractures is a worldwide problem: the IMPACT study.

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6.  Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD).

Authors:  Karen Tu; Tezeta Mitiku; Douglas S Lee; Helen Guo; Jack V Tu
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7.  Quality and variability of osteoporosis data in general practice computer records: implications for disease registers.

Authors:  S de Lusignan; T Chan; O Wood; N Hague; T Valentin; J Van Vlymen
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8.  Simplified system for absolute fracture risk assessment: clinical validation in Canadian women.

Authors:  William D Leslie; James F Tsang; Lisa M Lix
Journal:  J Bone Miner Res       Date:  2009-02       Impact factor: 6.741

9.  Electronic medical record reminder improves osteoporosis management after a fracture: a randomized, controlled trial.

Authors:  Adrianne Feldstein; Patricia J Elmer; David H Smith; Michael Herson; Eric Orwoll; Chuhe Chen; Mikel Aickin; Martha C Swain
Journal:  J Am Geriatr Soc       Date:  2006-03       Impact factor: 5.562

10.  Evaluation of Electronic Medical Record Administrative data Linked Database (EMRALD).

Authors:  Karen Tu; Tezeta F Mitiku; Noah M Ivers; Helen Guo; Hong Lu; Liisa Jaakkimainen; Doug G Kavanagh; Douglas S Lee; Jack V Tu
Journal:  Am J Manag Care       Date:  2014       Impact factor: 2.229

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  2 in total

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Journal:  CMAJ Open       Date:  2017-01-20

Review 2.  Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.

Authors:  Marie-Line Gentil; Marc Cuggia; Laure Fiquet; Camille Hagenbourger; Thomas Le Berre; Agnès Banâtre; Eric Renault; Guillaume Bouzille; Anthony Chapron
Journal:  BMC Med Inform Decis Mak       Date:  2017-09-25       Impact factor: 2.796

  2 in total

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