Evidence map›Paper›PMID 36384761›Full record

ArticleSubstance abuse treatment, prevention, and policy2022

Workforce Diversity and disparities in wait time and retention among opioid treatment programs.

Erick G Guerrero, Yinfei Kong, Jemima A Frimpong, Tenie Khachikian, Suojin Wang, Thomas D'Aunno, Daniel L Howard

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  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

7 authors at 5 institutions in 2 countries.

Erick G GuerreroResearch to End Healthcare Disparities Corp, I-Lead Institute, Los Angeles, CA, USA. erickguerrero454@gmail.com.
Yinfei KongMihaylo College of Business and Economics, California State University, Fullerton, CA, USA.
Jemima A FrimpongBusiness, Organizations and Society, New York University, Abu Dhabi, United Arab Emirates.
Tenie KhachikianUniversity of Chicago, Chicago, IL, USA.
Suojin WangDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Thomas D'AunnoWagner Graduate School of Public Service, New York University, New York City, New York, USA.
Daniel L HowardDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Texas A&M University · USCalifornia State University, Fullerton · USNew York University · USNew York University Abu Dhabi · AEUniversity of Chicago · US

Funding

From Workforce Diversity to Key Cultural Competency Strategies to End Racial Disparities in Opioid Treatment Outcomes Across the NationR01MD014639 · NIMHD · TEXAS A&M UNIVERSITY · PI HOWARD, DANIEL L · 2021 to 2025
$2.8M
NIMHD NIH HHS R01 MD014639
6 · The paper itself

Abstract

backgroundWorkforce diversity is a key strategy to improve treatment engagement among members of racial and ethnic minority groups. In this study, we seek to determine whether workforce diversity plays a role in reducing racial and ethnic differences in wait time to treatment entry and retention in different types of opioid use disorder treatment programs.

methodsWe conducted comparative and predictive analysis in a subsample of outpatient opioid treatment programs (OTPs), who completed access and retention survey questions in four waves of the National Drug Abuse Treatment System Survey (162 OTPs in 2000, 173 OTPs in 2005, 282 OTPs in 2014, and 300 OTPs in 2017). We sought to assess the associations between workforce diversity on wait time and retention, accounting for the role of Medicaid expansion and the moderating role of program ownership type (i.e., public, non-profit, for-profit) among OTPs located across the United States.

resultsWe found significant differences in wait time to treatment entry and retention in treatment across waves. Average number of waiting days decreased in 2014 and 2017; post Medicaid expansion per the Affordable Care Act, while retention rates varied across years. Key findings show that programs with high diversity, measured by higher percent of African American staff and a higher percent of African American clients, were associated with longer wait times to enter treatment, compared to low diversity programs. Programs with higher percent of Latino staff and a higher percent of Latino clients were associated with lower retention in treatment compared with low diversity programs. However, program ownership type (public, non-profit and for-profit) played a moderating role. Public programs with higher percent of African American staff were associated with lower wait time, while non-profit programs with higher percent of Latino staff were related to higher retention.

conclusionsFindings show decreases in wait time over the years with significant variation in retention during the same period. Concordance in high workforce and client diversity was associated with higher wait time and lower retention. But these relations inverted (low wait time and high retention) in public and non-profit programs with high staff diversity. Findings have implications for building resources and service capacity among OTPs that serve a higher proportion of minority clients.

Indexed as

Analgesics, OpioidWaiting ListsEthnicityHumansMinority GroupsPatient Protection and Affordable Care ActUnited StatesWorkforceAnalgesics, OpioidAccessHealthcare disparitiesOpioid use disorderRaceRetentionWorkforce diversity

Identifiers

PMID36384761
PMCPMC9670430
OpenAlexW4309467248

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.