ArticleThe journal of behavioral health services & research2017
Treating Opioid Dependence with Buprenorphine in the Safety Net: Critical Learning from Clinical Data.
Article in The journal of behavioral health services & research, 2017. 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
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
7 citing papers in PubMed, 14 citations in OpenAlex.
- Is use of opioid agonist treatment associated with broader primary healthcare use among men with recent injecting drug use histories following release from prison? A prospective cohort study.Harm reduction journal · 2023Article
- Letting the sun shine on patient voices: Perspectives about medications for opioid use disorder in Florida.Journal of substance abuse treatment · 2021Article
- Prevalence of documented alcohol and opioid use disorder diagnoses and treatments in a regional primary care practice-based research network.Journal of substance abuse treatment · 2020Article
- Availability of Medications for the Treatment of Alcohol and Opioid Use Disorder in the USA.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Review
- Timely linkage of individuals to substance use disorder treatment: development, implementation, and evaluation of FindHelpNowKY.org.BMC public health · 2019Article
- The Future of Research on Alcohol Health Disparities: A Health Services Research Perspective.Journal of studies on alcohol and drugs · 2018Article
- Predictors of Medication-Assisted Treatment Initiation for Opioid Use Disorder in an Interdisciplinary Primary Care Model.Journal of the American Board of Family Medicine : JABFMObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Research has examined the safety, efficacy, feasibility, and cost-effectiveness of buprenorphine for the treatment of opioid dependence, but few studies have examined patient and provider experiences, especially in community health centers. Using de-identified electronic health record system (EHRS) data from 70 OCHIN community health centers (n = 1825), this cross-sectional analysis compared the demographics, comorbidities, and service utilization of patients receiving buprenorphine to those not receiving medication-assisted treatment (MAT). Compared to non-MAT patients, buprenorphine patients were younger and less likely to be Hispanic or live in poverty. Buprenorphine patients were less likely to have Medicaid insurance coverage, more likely to self-pay, and have private insurance coverage. Buprenorphine patients were less likely to have problem medical comorbidities or be coprescribed high-risk medications. It is important for providers, clinic administrators, and patients to understand the clinical application of medications for opioid dependence to ensure safe and effective care within safety net clinics.
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.