ArticleEvaluation and program planning2023
Identifying gender differences in risk profiles and in opioid treatment outcomes in Los Angeles County.
Article in Evaluation and program planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Effectiveness of Washington State's hub and spoke model to improve opioid use disorder outcomes.Health affairs scholar · 2025Article
- Revisiting dezocine for opioid use disorder: A narrative review of its potential abuse liability.CNS neuroscience & therapeutics · 2024Review
- Wiidookaage'win: Beta-test of a Facebook group intervention for Native women to support opioid use recovery.Journal of substance use and addiction treatment · 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
5 authors at 4 institutions in 1 country.
Funding
Abstract
Policies and programs that aim to minimize wait time to enter opioid use disorder (OUD) treatment and maximize retention respond to potential differences in female and male clients' risk profiles. We conducted multigroup latent class analysis using significant individual risk factors. Our sample included 13,453 opioid treatment episodes from 135 unique substance use disorder treatment programs in Los Angeles County, California, in four waves: 2011 (66 programs, 1035 clients), 2013 (77 programs, 3671 clients), 2015 (75 programs, 4625 clients), and 2017 (69 programs, 4106 clients). Groups at risk of waiting longer included clients who were female, had mental health issues, received medication for OUD, had criminal justice involvement, received mandated referrals, had children in child protective services, and had caretaker responsibilities. All clients with children in protective services were likely to wait longer than those not in protective services, but women waited longer. Findings highlight that: (a) women and men in OUD treatment have significant health and social problems; (b) female and male clients have distinct risk profiles; and (c) targeted services responding to risk profiles may improve treatment access and engagement. Findings have implications for health policy and program evaluation and planning in the delivery of treatment services considering gendered risk factors.
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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.