The measured MVV was significantly lower than the calculated MVV in our pediatric subjects. The calculated MVV was a better surrogate of maximum ventilatory capacity as shown by significant correlation to other ventilatory parameters during CPET.

Introduction: Maintaining and attending follow-up healthcare appointments, coupled with proper age-and disease-specific education, is paramount to preventing and managing asthma exacerbations, asthma flare-ups, hospitalizations, increased use of oral corticosteroids, and deaths from uncontrolled asthma symptoms. No show rates have an effect in the quality and management of chronic health conditions, limit access for those waiting to be diagnosed and begin treatment and creates a financial hardship for provider's practices like this, limiting the expansion of healthcare services in underserved areas. The focus of this study was to ascertain if age-and disease-specific education impact the no show rates or the healthcare phenomenon of the empty chair, for follow up healthcare management in the adolescent patient asthma populations.Methods: A quasi-experimental, retrospective chart review was utilized for participant populations with a specific ICD-9/10 asthma diagnosis codes, ages 8-18 within Mahoning, Trumbull, Stark and Franklin Counties, Ohio. Demographic variables of age, gender, race, type of healthcare coverage, and geographic zone were compared to education received or not received. Appointment slot utilization variables of KEPT, no show, rescheduled and canceled was also collected. Pertinent data were then compiled with analysis performed by S.P.S.S statistical analysis software. Descriptive and inferential statistics were used to address all research questions.Results: Analyzed data revealed the only correlation to the slot utilization variable, and education was KEPT. Geographic zone revealed that the highest KEPT appointments were in Mahoning County, highest no show rates were between the border of Trumbull/ Mahoning Counties. There was no significant correlation between no show rates and demographic variables. Conclusion:Although education had an integral relationship with KEPT appointments, it was not inversely proportional to no show rates. Education encounters were related to the KEPT variable lending to an improvement in health literacy.