Effect of a Pharmacist-Driven Monitoring Program and Electronic Health Record on Bleeding Log Completeness and Documentation

BACKGROUND: Pharmacists have the ability to enhance comprehensive care for bleeding disorders patients by bridging the gap between hemophilia treatment centers (HTC) and specialty pharmacies, specifically by monitoring bleeding logs. In September 2015, a pharmacist-driven monitoring program was implemented through the specialty pharmacy associated with a medical center to improve bleeding log completeness and electronic documentation for HTC patients. OBJECTIVE: To measure the effect of a pharmacist-driven bleeding disorder monitoring program on bleeding log completeness, successful bleeding log documentation in the electronic health record (EHR), and pharmacist-driven clinical interventions using an EHR tool. METHODS: A single-group pre-post intervention study was conducted of a pharmacist-driven monitoring program. Pre-implementation (January 1, 2014-December 31, 2014), all patients who received and returned a bleeding log following an appointment at the HTC were included; post-implementation (September 1, 2015-December 30, 2015) included patients seen at the HTC who chose to participate in the program for at least 3 months. Before implementation, patient-completed bleeding logs were scanned into the EHR by clinic staff. After implementation, bleeding logs were completed by a pharmacist and documented using a case management tool in the integrated EHR. Bleeding log records successfully documented in the EHR were collected. Completeness was calculated based on 10 clinical data elements for each bleeding log record. Pharmacist-driven interventions resulting from the program in the post-implementation period were recorded. RESULTS: In the pre-implementation period, 19 of 117 bleeding log records (16.2%) were documented in the EHR; all 15 (100%) records were documented post-implementation (P < 0.001). Among all clinical data elements across all records, 706 of 1,170 data elements were recorded pre-implementation (60.3%), and 120 of 150 (80.0%) were recorded post-implementation (P < 0.001). Pre-implementation, no logs were 100% complete; post-implementation, only 6.7% of logs were fully complete (P = 0.114). For the 15 bleeding log records documented in the EHR during the post-implementation period, 14 documented pharmacist-driven clinical interventions occurred. The majority of interventions fell under coordination of care (8 [57.1%]). CONCLUSIONS: Improvement in bleeding log completeness and documentation in the EHR was associated with the use of an EHR tool and pharmacist-driven monitoring program.