ArticleJournal of addiction medicine
Integration of Patient-reported Outcomes Assessment Into Routine Care for Patients Receiving Residential Treatment for Alcohol and/or Substance Use Disorder.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Objective and subjective measurement of sleep in people who use substances: Emerging evidence and recommendations from a systematic review.Journal of sleep research · 2025Pooled it
- Elevating Patient Voices to Improve Opioid Use Disorder Quality Measurement: A Survey Protocol.Substance use & addiction journal · 2026Article
- Using a quality improvement framework to evaluate the feasibility of implementing a patient-reported outcome measure for recovery in an office-based treatment setting for opioid use disorder.Addiction science & clinical practice · 2025Article
- Assessing Whole-Person Outcomes During Routine Clinical Care: A Rapid Scoping Review.Medical care · 2024Article
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 at 1 institution in 1 country.
Funding
Abstract
backgroundMore than 3 million individuals receive treatment for alcohol use disorder (AUD) and/or substance use disorder each year, yet there exists no standardized method for measuring patient success in treatment. Quantifying a more comprehensive assessment of treatment outcomes could identify the relative efficacy of different treatment strategies for individuals with AUD/substance use disorders, and help patients to identify, in advance, appropriate treatment options.
methodsThis study developed and embedded patient-reported outcome measures into the routine clinical operations of a residential treatment program. Surveys assessed demographics, drug use history, physical and mental health, and quality of life. Outcomes were assessed among participants at admission (n = 961) and in patients who completed the survey at time of discharge (n = 633).
resultsPast 30-day alcohol and/or opioid use at admission were correlated with worse self-reported physical and mental health, sleep, and quality of life, and greater negative affect and craving ( P s < 0.05). Previous history of treatment and/or withdrawal management were associated with worse self-reported physical and mental health, quality of life, and increased craving ( P s < 0.05). Physical and mental health improved across timepoints and was most pronounced when comparing persons receiving treatment for opioid use disorder versus AUD, wherein persons with opioid use disorder had worse physical health at all time points, and greater sleep disturbance and negative affect at discharge ( P s < 0.05).
conclusionsIt is feasible to embed patient outcome monitoring into routine clinic operations, which could be used in the future to tailor treatment plans.
Indexed as
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What OpenQuestion holds
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.