Insurance Status Predicts Endoscopy No-Show

ABSTRACT

Introduction: Lyndon B. Johnson (LBJ) hospital is a part of the Harris Health System, which provides comprehensive care to the uninsured and underinsured population in Harris County, TX. LBJ serves a population with 55% unemployment and a median household income of $22000. Access to endoscopy is limited by resource availability, and the completion of scheduled endoscopies is essential for public health. We aimed to assess if insurance status was associated with no- show for scheduled endoscopic procedures at the LBJ GI Lab. Method(s) All patients scheduled for outpatient endoscopy during the year 2021 were collected. Included patients must have completed a GI clinic appointment, anesthesia screening, pre-procedural COVID test, confirmed attendance on pre-procedure call, and not showed for scheduled endoscopy (Figure 1). Patient's insurances statuses were FAP (county payment assistance), Harris County Prisoners (no costs), Medicare/Medicaid (variable costs), Private Insurance (variable costs), Self-Pay, and Texas Family Planning/HCHD Presumed (temporary FAP) (Table 1). Result(s) Comparative analysis of insurance types demonstrated that patients who were Self-Pay were 5.96 times more likely (P< 0.002) not to show up for previously scheduled endoscopic procedures, while patients with the TFP/HCHD insurance were 10.1 times more likely (P< 0.001) to not show when compared to patients who were covered by the county's FAP. Conclusion(s) Our analysis demonstrated a statistically significant association between insurance status and the incidence of no-showing for endoscopy. Upon literature review, there was limited data on rates of endoscopy no-shows in relation to the out-of-pocket commitment for individuals. Further investigation into this topic would significantly affect both the academic and private practice of gastroenterologists. We plan to continue this quality assessment by meeting with the patient eligibility department to assess if modifications of benefit profiles could optimize procedural attendance.