Reducing Length of Stay in Reconstructive Head and Neck Surgery Patients: A Quality Improvement Initiative.

OBJECTIVE: To investigate whether a new preoperative education and discharge planning protocol reduced unexpected discharge delays for patients undergoing reconstructive surgery for head and neck cancer. METHODS: A quality improvement (QI) intervention was implemented in January 2021 with several components to address historically prolonged observed lengths of stay (LOS) with head and neck cancer patients. The intervention added a preoperative educational visit with a head and neck cancer advanced practice provider, a standardized preoperative speech and swallow assessment, a personalized patient care plan document, discussion of inpatient hospital stay expectations, and early discharge planning. The intervention group included patients who underwent the preoperative education protocol from February to December 2021. For comparison, an age and sex-matched control group was constructed from inpatients who had been admitted for similar procedures in the 2 years prior to the QI intervention (2019-2020) and received standard of care counseling. RESULTS: Our study demonstrated a significant reduction in observed to expected LOS ratio after implementation of the intervention (1.24 ± 0.74 control, 0.95 ± 0.52 intervention; P = .012). DISCUSSION: We discuss a preoperative education QI intervention at our institution. Our findings demonstrate that our intervention was associated with decreased LOS for patients undergoing head and neck reconstructive surgeries. IMPLICATIONS FOR PRACTICE: This QI study shows the benefit of a new standardized preoperative education and discharge planning protocol for patients undergoing head and neck reconstructive surgeries.

A Preliminary Validation of an Optimal Cutpoint in Total Number of Patient-Reported Symptoms in Head and Neck Cancer for Effective Alignment of Clinical Resources with Patients' Symptom Burden.

Background: Patients with head and neck cancer (HNC) often experience high symptom burden leading to lower quality of life (QoL). Objective: This study aims to conceptually model optimal cutpoint by examining where total number of patient-reported symptoms exceeds patients' coping capacity, leading to a decline in QoL in patients with HNC. Methods: Secondary data analysis of 105 individuals with HNC enrolled in a clinical usefulness study of the NYU Electronic Patient Visit Assessment (ePVA)©, a digital patient-reported symptom measure. Patients completed ePVA and European Organization for Research and Treatment of Cancer (EORTC©) QLQ-C30 v3.0. The total number of patient-reported symptoms was the sum of symptoms as identified by the ePVA questionnaire. Analysis of variance (ANOVA) was used to define optimal cutpoint. Results: Study participants had a mean age of 61.5, were primarily male (67.6%), and had Stage IV HNC (53.3%). The cutpoint of 10 symptoms was associated with significant decline of QoL (F= 44.8, P<.0001), dividing the population into categories of low symptom burden (< 10 symptoms) and high symptom burden (≥ 10 symptoms). Analyses of EORTC© function subscales supported the validity of 10 symptoms as the optimal cutpoint (Physical: F=28.3, P<.0001; Role: F=21.6, P<.0001; Emotional: F=9.5, P=.003; Social: F=33.1, P<.0001). Conclusions: In HNC, defining optimal cutpoints in the total number of patient-reported symptoms is feasible. Implications for Practice: Cutpoints in the total number of patient-reported symptoms may identify patients experiencing a high symptom burden from HNC. Foundational: Using optimal cutpoints of the total number of patient-reported symptoms may help effectively align clinical resources with patients' symptom burden.