Journal of addiction medicine · 2022
Implementation of a Naloxone Best Practice Advisory Into an Electronic Health Record.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Srikumar Jainaha K, Daniel Kristin, Balasanova Alёna A
Аннотация
OBJECTIVES: Naloxone is a harm reduction tool for mitigating the rising rate of opioid overdose deaths. We sought to develop and implement an alert in the electronic health record outlining which patients are at higher risk of opioid overdose and should be coprescribed naloxone. Our aim was to increase coprescribing of naloxone to qualified patients. We also endeavored to evaluate naloxone prescription volume, fill rates, and statewide dispenses before and after alert implementation.
METHODS: We developed the electronic alert according to a state opioid safety initiative specifying under which conditions it should activate. We collected data on naloxone prescriptions ordered in the 5 months before and after alert implementation and unique patients with a naloxone dispense statewide. We used internal pharmacy data to evaluate the percentage of fills and used a χ 2 test to assess changes in percentage of fills. We used descriptive statistics and t tests to analyze changes in the number of prescriptions and changes in unique patients dispensed naloxone.
RESULTS: We found a 2144% increase in the number of monthly naloxone prescriptions written after the alert became active. There was no statistically significant change in the percentage of fills. There was a 402.8% increase in unique patients statewide with a naloxone dispense after alert implementation.
CONCLUSIONS: Designing and implementing an electronic alert prompting naloxone coprescription are feasible and were associated with substantial increases in numbers of naloxone prescriptions and patients with naloxone dispenses statewide. Our findings expand on prior literature about electronic decision support for naloxone coprescription.
METHODS: We developed the electronic alert according to a state opioid safety initiative specifying under which conditions it should activate. We collected data on naloxone prescriptions ordered in the 5 months before and after alert implementation and unique patients with a naloxone dispense statewide. We used internal pharmacy data to evaluate the percentage of fills and used a χ 2 test to assess changes in percentage of fills. We used descriptive statistics and t tests to analyze changes in the number of prescriptions and changes in unique patients dispensed naloxone.
RESULTS: We found a 2144% increase in the number of monthly naloxone prescriptions written after the alert became active. There was no statistically significant change in the percentage of fills. There was a 402.8% increase in unique patients statewide with a naloxone dispense after alert implementation.
CONCLUSIONS: Designing and implementing an electronic alert prompting naloxone coprescription are feasible and were associated with substantial increases in numbers of naloxone prescriptions and patients with naloxone dispenses statewide. Our findings expand on prior literature about electronic decision support for naloxone coprescription.