Performance and trend of core measures among oral cancer patients: A population-based cohort study

Abstract Objectives This study explores the performance and trend of core measures, which were established as evidence-based indicators to assess and improve the quality of care for oral cancer patients. Methods This retrospective cohort study uses the National Health Insurance Research Database (NHIRD), Taiwan Cancer Registry, and Cause of Death Statistics, provided by the Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare (MOHW). The study population was adult patients hospitalized for oral cancer surgery with stage I-IV between 2014 and 2021. The trend tests and the generalized linear mixed model (GLMM) were applied. Results A total of 23392 oral cancer patients were enrolled. The core measure set used in this study included five indicators (two process-related and three outcome-related indicators). Process indicators’ mean achievement rates significantly increased from 82.6% to 85.7% (p = 0.018, trend test). On the other hand, most patients demonstrated good achievement rates to the outcome indicators (98.9% to 99.3%) (p = 0.218, trend test). Overall indicators’ 100% achievement rate increased over time from 62.9% in 2014 to 66.2% in 2021 (p < 0.001, trend test). Subgroup analyses were performed by age, stage, and comorbidity score. The analysis of the GLMM revealed that the 100% achievement to overall indicators was positively associated with age<45, not-low socioeconomic status, body mass index ≥ 24, squamous cell carcinoma, recent treatment year, treated with surgery only, negative surgical margins, and receiving care in a high-volume hospital (all p < 0.01). Conclusions The results highlight a significant measurable improvement in the quality of oral cancer care. However, there is still room for enhancement in process indicator performance. Key messages • The results highlight a significant measurable improvement in the quality of oral cancer care. • There is still room for enhancement in process indicator performance.