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  • University of Toronto Libraries - UOTL  (3)
  • 2015-2019  (3)
  • 1
    Online Resource
    Online Resource
    Validation of endovascular and open thoracoabdominal aortic aneurysm repair in Ontario health administrative databases
    University of Toronto Libraries - UOTL ; 2019
    In:  Clinical and Investigative Medicine Vol. 42, No. 2 ( 2019-06-23), p. E19-25
    Details
    In: Clinical and Investigative Medicine, University of Toronto Libraries - UOTL, Vol. 42, No. 2 ( 2019-06-23), p. E19-25
    Abstract: Purpose: The positive predictive value (PPV) of endovascular and open thoracoabdominal aortic aneurysm (TAAA) repair coding was assessed in Ontario health administrative databases. Methods: Between 1 January 2006 and 31 March 2016, a random sample of 192 patients was identified using Canadian Classification of Health Intervention (CCI) procedure codes and Ontario Health Insurance Plan (OHIP) billing codes from administrative data. Blinded chart reviews were conducted at two cardiovascular centers to assess the level of agreement between the administrative records and the corresponding patients’ hospital charts. The PPV was calculated with 95% confidence intervals using hospital charts as the gold standard. Results: The PPV for the single endovascular TAAA repair code, 1ID80GQNRN, was 0.90 (0.78, 0.97). A combination of all nine CCI open TAAA repair codes was performed, with a PPV of 0.62 (0.47, 0.76). The combination of any one of the nine CCI codes AND the single OHIP code for open TAAA repair (R803) rendered a PPV of 0.98 (0.90, 1.00). Conclusions: Endovascular TAAA repair may be identified using a single CCI code (1ID80GQNRN). Open TAAA repair may be identified using a combination of CCI and OHIP codes. Researchers may therefore use administrative data to conduct population-based studies of endovascular and open repair of TAAA.
    Type of Medium: Online Resource
    ISSN: 1488-2353
    URL: Article
    DOI: 10.25011/cim.v42i2.32812
    Language: Unknown
    Publisher: University of Toronto Libraries - UOTL
    Publication Date: 2019
    detail.hit.zdb_id: 2067562-8
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  • 2
    Online Resource
    Online Resource
    Validation of abdominal aortic aneurysm repair codes in Ontario administrative data
    University of Toronto Libraries - UOTL ; 2018
    In:  Clinical and Investigative Medicine Vol. 41, No. 3 ( 2018-09-30), p. E148-E155
    Details
    In: Clinical and Investigative Medicine, University of Toronto Libraries - UOTL, Vol. 41, No. 3 ( 2018-09-30), p. E148-E155
    Abstract: Purpose: To determine the positive predictive values (PPV) of Ontario administrative data codes for the identification of open (OSR) and endovascular (EVAR) repairs of elective (eAAA) and ruptured (rAAA) abdominal aortic aneurysms. Methods: We randomly identified 319 eAAA and rAAA repairs at two Toronto hospitals between April 2003 and March 2015, using administrative health data in Ontario, Canada. International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) codes I71.3 and I71.4, were used to identify rAAA and eAAA patients, respectively. A blinded retrospective chart review was conducted and served as the gold standard comparator. Re-abstracted records were compared to Canadian Classification of Health Interventions (CCI) and Ontario Health Insurance Plan (OHIP) codes in the Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD) and OHIP databases. We calculated the PPV and 95% confidence intervals (95% CI) of individual and combined procedure and billing codes for elective and ruptured OSR and EVAR (eOSR, eEVAR, rOSR, and rEVAR). Results: Permutation of codes allowed identification of eOSR with 95% PPV (95% CI 88, 98), eEVAR with 96% PPV (95% CI 90, 99), rOSR with 87% PPV (95% CI 79, 93) and rEVAR with 91% PPV (95% CI 59, 100). Conclusions: Diagnostic, procedure and billing code combinations allow identification of eOSR, eEVAR, rOSR and rEVAR patients in Ontario administrative data with a high degree of certainty.
    Type of Medium: Online Resource
    ISSN: 1488-2353
    URL: Article
    DOI: 10.25011/cim.v41i3.30858
    Language: Unknown
    Publisher: University of Toronto Libraries - UOTL
    Publication Date: 2018
    detail.hit.zdb_id: 2067562-8
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  • 3
    Online Resource
    Online Resource
    Validation of Carotid Artery Revascularization Coding in Ontario Health Administrative Databases
    University of Toronto Libraries - UOTL ; 2016
    In:  Clinical & Investigative Medicine Vol. 39, No. 2 ( 2016-04-02), p. 73-
    Details
    In: Clinical & Investigative Medicine, University of Toronto Libraries - UOTL, Vol. 39, No. 2 ( 2016-04-02), p. 73-
    Abstract: Purpose: The positive predictive value (PPV) of carotid endarterectomy (CEA) and carotid artery stenting (CAS) procedure and post-operative complication coding were assessed in Ontario health administrative databases. Methods: Between 1 April 2002 and 31 March 2014, a random sample of 428 patients were identified using Canadian Classification of Health Intervention (CCI) procedure codes and Ontario Health Insurance Plan (OHIP) billing codes from administrative data. A blinded chart review was conducted at two high-volume vascular centers to assess the level of agreement between the administrative records and the corresponding patients’ hospital charts. PPV was calculated with 95% confidence intervals (CIs) to estimate the validity of CEA and CAS coding, utilizing hospital charts as the gold standard. Sensitivity of CEA and CAS coding were also assessed by linking two independent databases of 540 CEA-treated patients (Ontario Stroke Registry) and 140 CAS-treated patients (single-center CAS database) to administrative records. Results: PPV for CEA ranged from 99% to 100% and sensitivity ranged from 81.5% to 89.6% using CCI and OHIP codes. A CCI code with a PPV of 87% (95% CI, 78.8-92.9) and sensitivity of 92.9% (95% CI, 87.4-96.1) in identifying CAS was also identified. PPV for post-admission complication diagnosis coding was 71.4% (95% CI, 53.7-85.4) for stroke/transient ischemic attack, and 82.4% (95% CI, 56.6-96.2) for myocardial infarction. Conclusions: Our analysis demonstrated that the codes used in administrative databases accurately identify CEA and CAS-treated patients. Researchers can confidently use administrative data to conduct population-based studies of CEA and CAS.
    Type of Medium: Online Resource
    ISSN: 1488-2353
    URL: Article
    DOI: 10.25011/cim.v39i2.26483
    Language: Unknown
    Publisher: University of Toronto Libraries - UOTL
    Publication Date: 2016
    detail.hit.zdb_id: 2067562-8
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