Evidence map›Paper›PMID 36702006›Full record

ArticleEvaluation and program planning2023

Identifying gender differences in risk profiles and in opioid treatment outcomes in Los Angeles County.

Hortensia Amaro, Yinfei Kong, Jeanne C Marsh, Tenie Khachikian, Erick G Guerrero

Open access · hybridAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Hortensia AmaroFlorida International University, Herbert Wertheim College of Medicine and Robert Stempel College of Public Health and Social Work, 11200 SW 8th St, AHC4, Miami, FL 33199, United States.
Yinfei KongCalifornia State University, Fullerton College of Business and Economics, 800 N State College Blvd, Fullerton CA 92831, United States.
Jeanne C MarshUniversity of Chicago, School of Social Service Administration, 969 E. 60th Street, Chicago, IL 60637, United States.
Tenie KhachikianUniversity of Chicago, School of Social Service Administration, 969 E. 60th Street, Chicago, IL 60637, United States.
Erick G GuerreroI-LEAD Institute, Research to End Healthcare Disparities Corp, 12300 Wilshire Blvd, Suite 210, Los Angeles, CA 90025, United States. Electronic address: erickguerrero454@gmail.com.
University of Chicago · USFlorida International University · USFullerton College · USVA Greater Los Angeles Healthcare System · US

Funding

Gender Disparities in Access and Engagement in Medication-Assisted Treatment for Opioid Use DisorderR01DA048176 · NIDA · UNIVERSITY OF CHICAGO · PI GUERRERO, ERICK, MARSH, JEANNE C · 2019 to 2022
$2.0M
NIDA NIH HHS R01 DA048176
6 · The paper itself

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.

Indexed as

Analgesics, OpioidOpioid-Related DisordersChildFemaleHumansLos AngelesMaleProgram EvaluationSex FactorsTreatment OutcomeAnalgesics, OpioidGenderHealth care disparitiesLos Angeles CountyOpioid use disorder treatmentRetentionWait time

Identifiers

PMID36702006
PMCPMC10121834
OpenAlexW4316654921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.