Evidence map›Paper›PMID 35366844›Full record

ArticleBMC psychiatry2022

Characterizing the social support and functioning of a low-threshold medication for opioid use disorder treatment cohort at intake.

William Oles, Marcus Alexander, Navin Kumar, Benjamin Howell, Patrick G O'Connor, Lynn M Madden, Declan T Barry

Abstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. The Experiences and Attitudes of Rural Black People who Use Drugs.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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.

William Oles *Human Nature Lab, Yale Institute for Network Science, Yale University, New Haven, CT, USA.
Marcus Alexander *Human Nature Lab, Yale Institute for Network Science, Yale University, New Haven, CT, USA. marcus.alexander@yale.edu.
Navin KumarHuman Nature Lab, Yale Institute for Network Science, Yale University, New Haven, CT, USA.
Benjamin HowellSection of General Internal Medicine, Yale University School of Medicine and Yale-New Haven Hospital, New Haven, CT, USA.
Patrick G O'ConnorSection of Internal Medicine, Yale University School of Medicine and Yale-New Haven Hospital, New Haven, CT, USA.
Lynn M MaddenSection of Internal Medicine, Yale University School of Medicine and Yale-New Haven Hospital, New Haven, CT, USA.
Declan T BarryAPT Foundation, New Haven, CT, USA.

Funding

The Collaboration Linking Opioid Use Disorder and Sleep ("CLOUDS") StudyU01HL150596 · NHLBI · YALE UNIVERSITY · PI BARRY, DECLAN T., REDEKER, NANCY S · 2019 to 2024
$5.1M
NHLBI NIH HHS U01 HL150596
6 · The paper itself

Abstract

backgroundDespite the growing morbidity and mortality rates associated with opioid use disorder, a large gap still exists between treatment need and capacity. Low-threshold clinics utilizing medication for opioid use disorder (MOUD) treatment can increase treatment access but are understudied, and little is known about how patient demographic characteristics are associated with their social support and functioning in these settings.

methodsWe used multivariate regression to estimate associations between demographic characteristics and self-reported social support or functioning indicators among patients receiving MOUD in a low-threshold clinic using several validated instruments administered at intake: Behavior and Symptom Identification Scale, Brief Pain Inventory, and Life Events Checklist for DSM-5. Patients initiating MOUD treatment between April 1 and December 31, 2017, with complete surveys were included (N=582).

resultsPatients were primarily male (62%), aged 34 or older (53%), non-Hispanic White (79%), separated or not married (86%), and unemployed (64%). Over 20% did not live in a house or apartment in the past month. Women were more likely to "get along" with people outside their family or in social situations and to identify their partner as their source of support. Women, non-White, and older patients were at higher risk of social functioning-disrupting events (physical/sexual assaults or experiencing chronic pain), while employment and housing were protective against exposure to these trauma-related events. However, employment and housing also decreased the odds of talking with others about substance use. The aforementioned results were obtained from multivariate logistic regression models and were significant to p<0.05.

conclusionsVariation in support and functioning by demographic characteristics suggests that treatment facilities may benefit from adopting strategies that take baseline disparities in support and functioning into account.

Indexed as

Opioid-Related DisordersSocial SupportAdultCohort StudiesFemaleHumansMaleSurveys and QuestionnairesLow-threshold modelMedication for opioid use disorderSocial functioningSocial support

Identifiers

PMID35366844
PMCPMC8976510

What OpenQuestion holds

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Registered trials

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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.