2023
DOI: 10.1097/xcs.0000000000000776
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Differentiating Urgent from Elective Cases Matters in Minority Populations: Developing an Ordinal “Desirability of Outcome Ranking” to Increase Granularity and Sensitivity of Surgical Outcomes Assessment

Abstract: BACKGROUND: Surgical analyses often focus on single or binary outcomes; we developed an ordinal Desirability of Outcome Ranking (DOOR) for surgery to increase granularity and sensitivity of surgical outcome assessments. Many studies also combine elective and urgent procedures for risk adjustment. We used DOOR to examine complex associations of race/ethnicity and presentation acuity. STUDY DESIGN: NSQIP (2013 to 2019) cohort study assessing DOOR outcomes… Show more

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Cited by 5 publications
(6 citation statements)
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“…Many administrative database studies compare emergency to “nonemergency” cases that contain both elective and urgent cases, despite studies showing that urgent cases have worse outcomes than elective . Combining urgent and elective cases may produce disproportionately higher complication rates in vulnerable populations with higher urgent surgery rates . Risk adjustment should (1) separate urgent from elective cases and (2) include improved differentiation of preoperative risk factors from postoperative complications.…”
Section: Discussionmentioning
confidence: 99%
“…Many administrative database studies compare emergency to “nonemergency” cases that contain both elective and urgent cases, despite studies showing that urgent cases have worse outcomes than elective . Combining urgent and elective cases may produce disproportionately higher complication rates in vulnerable populations with higher urgent surgery rates . Risk adjustment should (1) separate urgent from elective cases and (2) include improved differentiation of preoperative risk factors from postoperative complications.…”
Section: Discussionmentioning
confidence: 99%
“…By comparison, VASQIP cannot differentiate urgent from elective. Because urgent cases have been found to have worse outcomes compared with elective procedures in NSQIP, this could be a source of bias in our analysis . However, the more granular data in NSQIP would, if anything, bias toward the null, further supporting our main finding.…”
Section: Discussionmentioning
confidence: 99%
“…We aimed to develop such an outcome, a Desirability of Outcome Ranking (DOOR) with a single, ordinal score combining various surgical outcomes, for use in VA surgical data. DOOR was originally developed to evaluate antibiotic performance in clinical trials, and these methods were later adapted for surgical outcomes using National Surgical Quality Improvement Program (NSQIP) data and then adding electronic health record (EHR)–based outcomes . DOOR has more statistical power than analyzing outcomes separately or binary composites, like textbook outcomes.…”
Section: Introductionmentioning
confidence: 99%
“…At every iteration, surgical DOORs used a modified Delphi process, a valid, established method to substantiate consensus among experts (and previously used to determine research priorities for various surgical specialties and a surgical safety checklist). Surgical DOORs demonstrated improved detection of complex SDOH relationships within private-sector cohorts . We aimed to use a VA Surgical Quality Improvement Program (VASQIP)–specific DOOR to examine outcome disparities from a variety of SDOH simultaneously: (1) minoritized race; (2) living in highly resource-deprived areas; (3) living in rural areas; and (4) care fragmented between the VA and private-sector sources.…”
Section: Introductionmentioning
confidence: 99%