2013
DOI: 10.1016/j.jamcollsurg.2013.02.027
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Optimizing ACS NSQIP Modeling for Evaluation of Surgical Quality and Risk: Patient Risk Adjustment, Procedure Mix Adjustment, Shrinkage Adjustment, and Surgical Focus

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Cited by 493 publications
(298 citation statements)
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“…[15][16][17][18] The ACS-NSQIP database lacks cancer-specific variables, which may result in uncontrolled confounding, and this could in turn result in an over-or underestimate of the effect of blood transfusions on perioperative morbidity.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…[15][16][17][18] The ACS-NSQIP database lacks cancer-specific variables, which may result in uncontrolled confounding, and this could in turn result in an over-or underestimate of the effect of blood transfusions on perioperative morbidity.…”
Section: Discussionmentioning
confidence: 99%
“…[15][16][17][18] Patients' demographic and clinical characteristics and their treatment details were collected from the gastrectomy admission records in the ACS-NSQIP database. The extent of surgery was defined according to CPT codes, and procedures were subdivided into total gastrectomy (CPT 43620, 43621 and 43622), subtotal gastrectomy (CPT 43631, 43632, 43633 and 43634) and multivisceral resection (CPT 38120, 38102 and 38129 for splenectomy; 44140, 44141 and 44160 for colectomy; 48146, 48145 and 48140 for pancreatectomy; 44121, 44120 and 44125 for enterectomy; 47100, 47120 and 47122 for hepatectomy; and 43124, 43117, 43118, 43101, 43121, 43122 and 43123 for esophagectomy).…”
Section: Data Sourcesmentioning
confidence: 99%
“…The accuracy of documentation of clinical diagnoses, comorbidities, and complications collected in any database can be limited by errors in data entry. However, previous studies of the ACS-NSQIP 1 database have shown excellent accuracy and quality control because the database relies on clinical data from patients' medical charts gathered by skilled reviewers and does not rely on administrative claims or billing information [9,10,15,20]. The integrity of data collected is scrutinized through site visits at participating institutions, conference calls, an annual meeting of participants, and regular auditing.…”
Section: Discussionmentioning
confidence: 99%
“…2,3 As a result, an emphasis has been placed on considering reliability when selecting outcome measures. 4,5,[14][15][16] In contrast to other clinical outcome measures, we have demonstrated that episode payments are more reliable and many hospitals meet commonly accepted reliability benchmarks, even for less common procedures such as pancreatectomy. This is due to the fact that every hospital admission has an associated episode payment, whereas adverse clinical outcomes, (i.e.…”
Section: Discussionmentioning
confidence: 89%