2015
DOI: 10.1097/prs.0000000000000894
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The Validity of Hospital Discharge Data for Autologous Breast Reconstruction Research

Abstract: Diagnostic, II.

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Cited by 9 publications
(6 citation statements)
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“…Similar to the NSQIP, using ICD-9 codes for complication reporting, as is common with studies utilizing administrative databases, is also limited by potentially inaccurate and incomplete data. 30 Thus, it is imperative that future efforts focus on developing standardized outcome measures with consistent definitions for complications. This process can be led by our speciality societies, a collaborative group of researchers, and/or major journals in our specialty.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to the NSQIP, using ICD-9 codes for complication reporting, as is common with studies utilizing administrative databases, is also limited by potentially inaccurate and incomplete data. 30 Thus, it is imperative that future efforts focus on developing standardized outcome measures with consistent definitions for complications. This process can be led by our speciality societies, a collaborative group of researchers, and/or major journals in our specialty.…”
Section: Discussionmentioning
confidence: 99%
“… 8 Furthermore, data accuracy is limited to reporting in patient charts and subsequent data abstraction. 25 Finally, we were unable to directly address comorbidities among patients who underwent bilateral or unilateral mastectomy; however, our cohorts were matched based on age.…”
Section: Limitationsmentioning
confidence: 99%
“…Second, in developing them, we can look for markers of specific activities that correlate with actual patient outcomes and thus mitigate some types of reporting bias. For example, our DVT prophylaxis signature looks for times where one of the commonly used agents is actually administered, as opposed to asking staff to fill out a checkbox saying that “DVT prophylaxis has been addressed.” More broadly, this kind of search allows automated searching beyond simple billing codes and administrative data, which are notoriously variable in accuracy [ 9 12 ].…”
Section: Resultsmentioning
confidence: 99%