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Objective: In patients with head and neck squamous cell carcinoma (HNSCC), initiating postoperative radiotherapy (PORT) greater than 42 days after surgery is associated with a higher risk of poor survival outcomes. Social support has been shown to modulate behaviors related to care-seeking and treatment adherence. In this study, we sought to determine the relationship between social support metrics and PORT delays., Study Design: Prospective cohort study., Setting: Single tertiary medical center., Methods: Patients with HNSCC who underwent primary surgical excision requiring PORT were prospectively enrolled. Patient-perceived social support metrics were assessed using the Medical Outcomes Study Social Support Survey (MOS-SSS) at initial presurgical evaluation. Associations with PORT delays were evaluated via univariable and multivariable logistic regression analysis., Results: A total of 111 patients met the inclusion criteria for the study. An additional 28 patients were recommended to receive PORT but did not initiate treatment and were included for secondary analysis. All four subscales of the MOS-SSS (positive social interaction, affectionate support, tangible support, and emotional/informational support) were significantly associated with PORT initiation delays on univariable analysis. On multivariable analysis, the overall MOS-SSS score (odds ratio [OR] 2.08, 1.15-4.35, p = .028) was significantly associated with PORT initiation delays. On secondary analysis, lower tangible support was associated with a lack of PORT initiation (OR 1.63, 1.05-2.54, p = .028)., Conclusion: Social support metrics were significantly associated with PORT delays, which may help promote tighter scheduling and closer monitoring of high-risk patients., (© 2023 American Academy of Otolaryngology-Head and Neck Surgery Foundation.)

Importance: Timely initiation of postoperative radiation therapy (PORT) is associated with reduced recurrence rates and improved overall survival in patients with head and neck squamous cell carcinoma (HNSCC). Measurement of the association of social-ecological variables with PORT delays is lacking., Objective: To assess individual and community-level factors associated with PORT delay among patients with HNSCC., Design, Setting, and Participants: This prospective cohort study carried out between September 2018 and June 2022 included adults with untreated HNSCC who were enrolled in a prospective registry at a single academic tertiary medical center. Demographic information and validated self-reported measures of health literacy were obtained at baseline visits. Clinical data were recorded, and participant addresses were used to calculate the area deprivation index (ADI), a measure of community-level social vulnerability. Participants receiving primary surgery and PORT were analyzed. Univariable and multivariable regression analysis was performed to identify risk factors for PORT delays., Exposures: Surgical treatment and PORT., Main Outcomes and Measures: The primary outcome was PORT initiation delay (>42 days from surgery). Risk of PORT initiation delay was evaluated using individual-level (demographic, health literacy, and clinical data) and community-level information (ADI and rural-urban continuum codes)., Results: Of 171 patients, 104 patients (60.8%) had PORT delays. Mean (SD) age of participants was 61.0 (11.2) years, 161 were White (94.2%), and 105 were men (61.4%). Insurance was employer-based or public among 65 (38.5%) and 75 (44.4%) participants, respectively. Mean (SD) ADI (national percentile) was 60.2 (24.4), and 71 (41.8%) resided in rural communities. Tumor sites were most commonly oral cavity (123 [71.9%]), with 108 (63.5%) classified as stage 4 at presentation. On multivariable analysis, a model incorporating individual-level factors with health literacy in addition to community-level factors was most predictive of PORT delay (AOC= 0.78; R2, 0.18)., Conclusions and Relevance: This cohort study provides a more comprehensive assessment of predictors of PORT delays that include health literacy and community-level measures. Predictive models that incorporate multilevel measures outperform models with individual-level factors alone and may guide precise interventions to decrease PORT delay for at-risk patients with HNSCC.