ArticleJAMIA open2025
Complexities and approaches for deriving longitudinal daily morphine milligram equivalents using electronic health record prescription data.
Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03454555 (Integrated Health Services to Reduce Opioid Use While Managing Chronic Pain), which is not on this map. Cited by 1 paper.
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.
Integrated Health Services to Reduce Opioid Use While Managing Chronic Pain
Who cites it
1 citing paper in PubMed.
- A Survey of Knowledge, Attitudes, and Behaviours of Canadian Family Physicians in Response to the Canadian Guideline on Prescribing Opioids for Chronic Non-cancer Pain.Canadian journal of pain = Revue canadienne de la douleur · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To describe challenges and solutions for calculating longitudinal daily opioid dose in morphine milligram equivalents from electronic health record prescriptions for a clinical trial of voluntary opioid reduction in patients with chronic non-cancer pain. Materials and Methods: Researchers obtained opioid prescriptions for 525 participants from the National Patient-Centered Clinical Research Network datamart at three health systems. Daily opioid dose was calculated using dose conversions and summing across prescriptions after applying assumptions, reviewing suspect prescribing patterns, and removing spurious prescriptions. Results: Out of 16 071 extracted prescriptions, 1207 (8%) were unusable, and 14 864 (92%) were analyzed. Discussion: Numerous challenges were identified related to incomplete data, inaccurate refill dates, and overlapping or duplicate prescriptions. Conclusion: Using electronic prescription data to calculate daily doses of opioid consumption is challenging and requires significant cleaning prior to use in research. This paper recommends steps to review and clean electronic opioid prescription data.
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Registered trials
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