Process measures facilitate maturation of pediatric enhanced recovery protocols

J Pediatr Surg. 2018 Nov;53(11):2266-2272. doi: 10.1016/j.jpedsurg.2018.04.037. Epub 2018 May 4.

Abstract

Background/purpose: The role of process measures used to predict quality in pediatric colorectal surgery enhanced recovery protocols has not been described. The purpose of this study was to demonstrate the feasibility of abstracting and monitoring process measures over protocol improvement iteration.

Methods: Patients enrolled in the Pediatric Colorectal Enhanced Recovery After Surgery pathway at our institution were grouped by stage of implementation. We used a quality improvement database to compare multistage enhanced recovery process measures and 30-day patient outcomes.

Results: We identified 58 surgical patients with 28(48%) cases enrolled in the pathway. There was increased use of regional anesthesia techniques in pathway patients (83% versus 20%, p < 0.001). All preoperative process measures clinically improved between early and full implementation. Improvements included a dramatic increase in formal preoperative education (56% versus 0%, p = 0.004) and administration of preoperative medication (p = 0.025). Overall, 12 (21%) patients experienced postoperative complications, which were similarly distributed between implementation groups. Readmissions were highest during the early implementation phase (40%, p = 0.029). Children in the late implementation group experienced fewer complications, which clinically correlated with process measure adherence.

Conclusions: Process measures complement outcome measures in assessing quality and effectiveness of a pediatric colorectal recovery protocol. Adherence to processes may reduce complications.

Level of evidence: Treatment study, Level III.

Keywords: Child; Colorectal surgery; Enhanced recovery after surgery; Outcome assessment; Process assessment; Quality improvement.

MeSH terms

  • Child
  • Colorectal Surgery* / standards
  • Colorectal Surgery* / statistics & numerical data
  • Humans
  • Outcome Assessment, Health Care
  • Postoperative Complications
  • Process Assessment, Health Care*
  • Quality Improvement*