Implementation of a QTc-interval monitoring protocol by pharmacists to decrease cardiac risk in at-risk patients in an acute care inpatient psychiatric facility.

INTRODUCTION: Many medications commonly prescribed in psychiatric hospitals can cause QTc-interval prolongation, increasing a patient's risk for torsades de pointes and sudden cardiac death. There is little guidance in the literature to determine when an electrocardiogram (ECG) and QTc-interval monitoring should be performed. The primary end point was improvement of the appropriateness of ECGs and QTc-interval monitoring of at-risk psychiatric inpatients at Barnabas Health Behavioral Health Center (BHBH) and Monmouth Medical Center (MMC) following implementation of a standardized monitoring protocol. The secondary end point was the number of pharmacist-specific interventions at site BHBH only. METHODS: Patients who met the inclusion criteria were assessed using a standardized QTc-prolongation assessment algorithm for ECG appropriateness. A retrospective analysis of a control group (no protocol) from January 1, 2016, to July 17, 2017, was compared with a prospective analysis of the intervention group (with protocol) from December 11, 2017, to March 11, 2018. RESULTS: At BHBH, appropriate ECG utilization increased 25.5% after implementation of a standardized protocol (P = .0172) and appropriate omission of ECG utilization improved by 26% (P < .00001). At MMC, appropriate ECGs decreased by 5%, and appropriate ECG omissions increased by 28%, neither of which were statistically significant (P = 1.0 and P = .3142, respectively). There was an increase in overall pharmacist monitoring. DISCUSSION: The study demonstrated that pharmacist involvement in ECG and QTc-interval monitoring utilizing a uniform protocol may improve the appropriateness of ECG and QTc-interval monitoring in patients in an acute care inpatient psychiatric hospital.

Ziconotide-induced psychosis: A case report and literature review.

Ziconotide is an intrathecally administered medication indicated for the treatment of severe chronic pain in patients who are intolerant of or refractory to other treatment options. A black box warning is included in the packaging and states ziconotide is contraindicated in patients with a preexisting history of psychosis. Patients taking ziconotide should be monitored for evidence of cognitive impairment, hallucinations, or changes in mood, and ziconotide should be discontinued if neurological or psychiatric signs and symptoms appear. We present a case of a 49-year-old white male with no previous neuropsychiatric history who received ziconotide for several years before he developed command auditory hallucinations within 24 hours of a dose increase. Upon admission to the emergency room, the patient's pain management physician was contacted and the ziconotide dose was decreased and eventually discontinued. Because of a continuation of symptoms, the patient was transferred from the emergency room to an acute care psychiatric hospital where he was started on risperidone 1 mg orally at bedtime. At discharge, the patient was noted to be in good behavioral control without any hallucinations. The patient was encouraged to follow up with his pain management physician to determine if ziconotide should be reconsidered.

Evaluation of STAT medication ordering process in a community hospital.

BACKGROUND: In most health care facilities, problems related to delays in STAT medication order processing time are of common concern. OBJECTIVE: The purpose of this study was to evaluate processing time for STAT orders at Kimball Medical Center. METHODS: All STAT orders were reviewed to determine processing time; order processing time was also stratified by physician order entry (physician entered (PE) orders vs. non-physician entered (NPE) orders). Collected data included medication ordered, indication, time ordered, time verified by pharmacist, time sent from pharmacy, and time charted as given to the patient. RESULTS: A total of 502 STAT orders were reviewed and 389 orders were included for analysis. Overall, median time was 29 minutes, IQR 16-63; p<0.0001.). The time needed to process NPE orders was significantly less than that needed for PE orders (median 27 vs. 34 minutes; p=0.026). In terms of NPE orders, the median total time required to process STAT orders for medications available in the Automated Dispensing Devices (ADM) was within 30 minutes, while that required to process orders for medications not available in the ADM was significantly greater than 30 minutes. For PE orders, the median total time required to process orders for medications available in the ADM (i.e., not requiring pharmacy involvement) was significantly greater than 30 minutes. [Median time = 34 minutes (p<0.001)]. CONCLUSION: We conclude that STAT order processing time may be improved by increasing the availability of medications in ADM, and pharmacy involvement in the verification process.

Evaluation of STAT medication ordering process in a community hospital

Background: In most health care facilities, problems related to delays in STAT medication order processing time are of common concern. Objective: The purpose of this study was to evaluate processing time for STAT orders at Kimball Medical Center. Methods: All STAT orders were reviewed to determine processing time; order processing time was also stratified by physician order entry (physician entered (PE) orders vs. non-physician entered (NPE) orders). Collected data included medication ordered, indication, time ordered, time verified by pharmacist, time sent from pharmacy, and time charted as given to the patient. Results: A total of 502 STAT orders were reviewed and 389 orders were included for analysis. Overall, median time was 29 minutes, IQR 16-63; p<0.0001.) . The time needed to process NPE orders was significantly less than that needed for PE orders (median 27 vs. 34 minutes; p=0.026). In terms of NPE orders, the median total time required to process STAT orders for medications available in the Automated Dispensing Devices (ADM) was within 30 minutes, while that required to process orders for medications not available in the ADM was significantly greater than 30 minutes. For PE orders, the median total time required to process orders for medications available in the ADM (i.e., not requiring pharmacy involvement) was significantly greater than 30 minutes. [Median time = 34 minutes (p<0.001)]. Conclusion: We conclude that STAT order processing time may be improved by increasing the availability of medications in ADM, and pharmacy involvement in the verification process (AU)

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