Right on Schedule: Improving the Rate of Clinic Appointments Scheduled Prior to Hospital Hospital Discharge.

INTRODUCTION: Children with cancer and blood disorders have many healthcare needs that often require inpatient and outpatient management. There is potential for a lapse in care when patients frequently transition between these settings. We aimed to improve the process and increase the rate of scheduled outpatient follow-up appointments at the time of inpatient discharge for all pediatric hematology-oncology patients from a baseline of 68-80%. METHODS: A multidisciplinary team developed several Plan-Do-Study-Act cycles to standardize and improve the process of scheduling follow-up appointments, communication to schedulers, and discussion of discharge planning. QI Macros for Excel Version 2019.06 was used for statistical analysis. Our primary outcome was displayed over time with a p-chart. RESULTS: Plan-Do-Study-Act interventions had a statistically significant impact in increasing the percentage of patients with follow-up outpatient appointments scheduled at the time of inpatient discharge from a baseline of 68% to consistently over 80%. CONCLUSIONS: This study demonstrates that standardization of care processes and reminders and education of healthcare providers about the new approaches can improve the rates of outpatient follow-up appointments scheduled at the time of hospital discharge from inpatient care.

When Multiple Objective Measures of Medication Adherence Indicate Incongruent Adherence Results: An Example with Pediatric Cancer.

Previous research suggests that children and adolescents with acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LBL) often have difficulty adhering to complex treatment regimens during the maintenance phase of therapy. Measurement of treatment adherence can be done via objective (e.g., electronic monitoring (EM), pharmacological assays) or subjective methods (patient, parent, or physician reports). This paper provides an illustration of recommended strategies for comparing discrepancies between two objective measures of medication adherence (e.g., behavioral adherence using electronic monitoring versus pharmacological adherence using 6-mercaptopurine (6MP) metabolite data) within a relatively large cohort of pediatric patients with ALL or LBL (N = 139) who had longitudinal data for both measures of medication adherence over a 15-month period. Additionally, individual- and family-level factors such as gender, socioeconomic status, household environment, and dose intensity will be examined to identify possible sources of discrepancies between adherence measures. This information will provide practical advice for physicians, healthcare providers, and psychologists in identifying nonadherence and the caveats therein so patients achieve the best possible health outcomes.