ArticleJournal of psychiatry and brain science2020
Navigation Services to Avoid Rehospitalization among Medical/Surgical Patients with Comorbid Substance Use Disorder: Rationale and Design of a Randomized Controlled Trial.
Article in Journal of psychiatry and brain science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed, 10 citations in OpenAlex.
- Hospital admissions among patients with Comorbid Substance Use disorders: a secondary analysis of predictors from the NavSTAR Trial.Addiction science & clinical practice · 2024Trial
- Cost and Cost Savings of Navigation Services to Avoid Rehospitalization for a Comorbid Substance Use Disorder Population.Medical care · 2022Trial
- Preventing Hospital Readmission for Patients With Comorbid Substance Use Disorder : A Randomized Trial.Annals of internal medicine · 2021Trial
- Impact of Substance Use Navigators on Initiation of Treatment for Substance Use Disorders and 30-Day Unplanned Readmission.Journal of general internal medicine · 2026Observational
- Polysubstance use and post-discharge mortality risk among hospitalized patients with opioid use disorder.Preventive medicine reports · 2023Article
- Opioid Use Disorder Treatment Linkage at Strategic Touchpoints Using Buprenorphine (OUTLAST-B): Rationale, Design, and Evolution of a Randomized Controlled Trial.Journal of psychiatry and brain science · 2023Article
- Opioid agonist treatment initiation and linkage for hospitalized patients seen by a substance use disorder consultation service.Drug and alcohol dependence reports · 2022Article
- Patients with substance use disorders receiving continued care in skilled nursing facilities following hospitalization.Substance abuse · 2022Article
- Views of barriers and facilitators to continuing methadone treatment upon release from jail among people receiving patient navigation services.Journal of substance abuse treatment · 2021Article
- Global trends of digital health technologies in patient navigation: A bibliometric and visual analysis from 2005 to 2024.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Substance use disorders (SUDs) are associated with significant morbidity and mortality and contribute to inefficient use of healthcare services. Hospitalized medical/surgical patients with comorbid SUD are at elevated risk of hospital readmission and poor outcomes. Thus, effective interventions are needed to help such patients during hospitalization and post-discharge. This article reports the rationale, methodological design, and progress to date on a randomized trial comparing the effectiveness of Navigation Services to Avoid Rehospitalization (NavSTAR) vs Treatmentas-Usual (TAU) for hospital medical/surgical patients with comorbid SUD (
Indexed as
Identifiers
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.