ArticleJAMIA open2019
Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report.
Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Treatment Strategies for Isolated LC-1 Pelvic Injuries: A Comparative Cohort Study of Percutaneous Posterior-Only vs. Combined Anterior-Posterior Fixation.Journal of clinical medicine · 2025Article
- Article
- A genome-wide association, polygenic risk score and sex study on opioid use disorder treatment outcomes.Scientific reports · 2023Article
- Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records.International journal of medical informatics · 2022Article
- Using electronic health record's data to assess daily dose of opioids prescribed for outpatients with chronic non-cancer pain.Family medicine and community health · 2021Article
- The use of narrative electronic prescribing instructions in pharmacoepidemiology: A scoping review for the International Society for Pharmacoepidemiology.Pharmacoepidemiology and drug safety · 2021Article
- sig2db: a Workflow for Processing Natural Language from Prescription Instructions for Clinical Data Warehouses.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription's maximum potential Sig-MEDD, we developed SQL code to determine a prescription's maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient's risk for opioid exposure.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.