NSQIP versus institutional morbidity and mortality conference: complementary complication reporting in pediatric spine fusion

Autor: Jennifer M. Bauer, Sebastian E Welling, Michael J. Goldberg, Cindy B Katz
Rok vydání: 2020
Předmět:
Zdroj: Spine Deformity. 9:113-118
ISSN: 2212-1358
2212-134X
Popis: Other fields of medicine have demonstrated underreported surgical complication rates by institutional M&M compared to NSQIP. However, a study comparing surgical complication rates in the pediatric spine population, using an identical set of patients rather than nationally extrapolated, has not been performed. A single institution’s ASC-NSQIP Pediatric spine fusion cases and its departmental team-reported M&M database for the same were reviewed for January 1, 2012 to December 31, 2018. Differences in surgical complication reporting between the two databases for the identical patient cohort were recorded. NSQIP identified 50 pediatric spine fusion patients with complications out of 386 NSQIP-algorithm-sampled cases (13%). Of these complications, 23 were not reported in the M&M conference database (6% of NSQIP-sampled cases, 2.5% of all M&M cases). The most common under-reported complication categories include pneumonia (100% under-reported), clostridium difficile (100%), urinary tract infection (83%), and superficial wound disruption (67%). During the same 7 years, M&M covered 924 spine fusions and identified 162 complications. Of these 162 patients, 22 were included in the NSQIP sampling and were not reported as complications (6% of NSQIP sampled patients). Recognizing complication rates is central to implement strategies for delivering better quality care. NSQIP data may serve as an important quality check for pediatric spine institutional M&M data, but both may not include all complications even within its sampled patients. In general, NSQIP’s protocols identified more medical complications, while M&M has a surgical focus, benefits from the limitless follow-up, and involves timely departmental awareness of complications.
Databáze: OpenAIRE