ArticleRegional anesthesia and pain medicine2025
Post
Article in Regional anesthesia and pain medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05221866 (Efficiency And Quality In Post-Surgical Pain Therapy After Discharge), which is not on this map. Cited by 3 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.
Efficiency And Quality In Post-Surgical Pain Therapy After Discharge
Who cites it
3 citing papers in PubMed.
- Clinical Decision Support to Reduce Opioid Prescribing at Discharge for Inpatients Undergoing Surgery (LESS Study): An Interrupted Time Series Analysis.Anesthesiology · 2026Article
- Opioid Intake and Quality of Life After Hospital Discharge From Major Surgery: A Health Economic Evaluation.Anesthesia and analgesia · 2026Observational
- Tutorial on Analyzing Paired Longitudinal Data With Serial Correlation and Making Comparisons Between Groups, With Examples for Opioid Consumption and Quality of Life.Anesthesia and analgesia · 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
8 authors.
Funding
Abstract
backgroundExcess postoperative opioid use is harmful. We tested the hypothesis that a patient-facing educational smartphone app would permit surgical patients to effectively manage their pain while using fewer opioids after discharge.
methodsA two-hospital, single-health system trial randomly exposed adult surgical inpatients to a consumer electronic health app ("educational app") that provided pain education or to a data collection only app ("control app"). During the second half of the trial, a clinician-facing electronic decision-support tool was activated. Linear regression models with log-transformed outcomes estimated the effect of the educational app on the primary outcome of cumulative self-reported opioid use within 4 weeks after discharge (in morphine milligram equivalents (MME)) and the secondary outcome of opioids prescribed at discharge.
resultsWe enrolled 711 patients from May 2, 2022, to December 10, 2023. The modified intention-to-treat analysis cohort included 606 patients, with 303 randomized to the educational app and 303 to the control app. Median (first quartile, third quartile) discharge opioids prescribed to both groups were 75 (60, 150) MME. Median (Q1, Q3) self-reported cumulative opioid use in the 4 weeks after discharge was 22 (0, 98) MME with the educational app and 15 (0, 82) MME with the control app (ratio of geometric means: 1.21; 95% CI 0.87 to 1.69; p=0.264). The use of the clinician-facing electronic decision-support tool also did not modify opioid consumption.
conclusionsNeither a patient-facing educational app nor a clinician-facing decision support tool reduced self-reported opioid consumption among surgical patients with low post-discharge opioid requirements. TRIAL REGISTRATION NUMBER: NCT05221866.
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Registered trials
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