Evidence map›Paper›PMID 36707910›Full record

Trial reportAddiction science & clinical practice2023

Screening for opioid use disorder and co-occurring depression and post-traumatic stress disorder in primary care in New Mexico.

Cristina Murray-Krezan, Alex Dopp, Lina Tarhuni, Mary D Carmody, Kirsten Becker, Jessica Anderson, Miriam Komaromy, Lisa S Meredith, Katherine E Watkins, Katherine Wagner and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction science & clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
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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

12 authors at 4 institutions in 1 country.

Cristina Murray-KrezanDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA. CMMK@pitt.edu.ORCID 0000-0002-5488-1080
Alex DoppHealth Care Division, RAND Corporation, Santa Monica, CA, 90417-2038, USA.
Lina TarhuniDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Mary D CarmodyDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Kirsten BeckerHealth Care Division, RAND Corporation, Santa Monica, CA, 90417-2038, USA.
Jessica AndersonDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Miriam KomaromyGrayken Center for Addiction, Boston Medical Center, Boston University, Boston, MA, 02118, USA.
Lisa S MeredithHealth Care Division, RAND Corporation, Santa Monica, CA, 90417-2038, USA.
Katherine E WatkinsHealth Care Division, RAND Corporation, Santa Monica, CA, 90417-2038, USA.
Katherine WagnerDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
Kimberly PageDepartment of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA.
CLARO Study Group
University of New Mexico · USRAND Corporation · USBoston University · USNew Mexico Department of Health · US

Funding

Improving Access and Treatment for Co-occurring Opioid Use Disorders and Mental Illness - Recruitment ExtensionUF1MH121954 · NIMH · RAND CORPORATION · PI KOMAROMY, MIRIAM, WATKINS, KATHERINE E · 2019 to 2024
$15.8M
NIMH NIH HHS UF1 MH121954
6 · The paper itself

Abstract

backgroundIdentifying patients in primary care services with opioid use disorder and co-occurring mental health disorders is critical to providing treatment. Objectives of this study were to (1) assess the feasibility of recruiting people to screen in-person for opioid use disorder and co-occurring mental health disorders (depression and/or post-traumatic stress disorder) in primary care clinic waiting rooms in preparation for a randomized controlled trial, and (2) compare results of detecting these disorders by universal in-person screening compared to electronic health record (EHR) diagnoses.

methodsThis cross-sectional feasibility and pilot study recruited participants from four primary care clinics, two rural and two urban, from three health care organizations in New Mexico. Inclusion criteria were adults (≥ 18 years), attending one of the four clinics as a patient, and who spoke English or Spanish. Exclusion criteria were people attending the clinic for a non-primary care visit (e.g., dental, prescription pick up, social support). The main outcomes and measures were (1) recruitment feasibility which was assessed by frequencies and proportions of people approached and consented for in-person screening, and (2) relative differences of detecting opioid use disorder and co-occurring mental health disorders in waiting rooms relative to aggregate EHR data from each clinic, measured by prevalence and prevalence ratios.

resultsOver two-weeks, 1478 potential participants were approached and 1145 were consented and screened (77.5% of patients approached). Probable opioid use disorder and co-occurring mental health disorders were identified in 2.4% of those screened compared to 0.8% in EHR. Similarly, universal screening relative to EHR identified higher proportions of probable opioid use disorder (4.5% vs. 3.4%), depression (17.5% vs. 12.7%) and post-traumatic stress disorder (19.0% vs. 3.6%).

conclusionsUniversal screening for opioid use disorder, depression, and post-traumatic stress disorder was feasible, and identified three times as many patients with these co-occurring disorders compared to EHR. Higher proportions of each condition were also identified, especially post-traumatic stress disorder. Results support that there are likely gaps in identification of these disorders in primary care services and demonstrate the need to better address the persistent public health problem of these co-occurring disorders.

Indexed as

Stress Disorders, Post-TraumaticAdultCross-Sectional StudiesDepressionHumansNew MexicoPilot ProjectsDepressionMental healthOpioid use disorderPost-traumatic stress disorderPrimary care

Identifiers

PMID36707910
PMCPMC9881516
OpenAlexW4318225170

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.