Evidence map›Paper›PMID 35627818›Full record

ArticleInternational journal of environmental research and public health2022

Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use.

Gian-Gabriel P Garcia, Ramin Dehghanpoor, Erin J Stringfellow, Marichi Gupta, Jillian Rochelle, Elizabeth Mason, Toyya A Pujol, Mohammad S Jalali

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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 22% 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, 6 citations in OpenAlex.

  1. Article
  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

8 authors at 4 institutions in 1 country.

Gian-Gabriel P GarciaH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Ramin DehghanpoorComputer Science Department, University of Massachusetts Boston, Boston, MA 02125, USA.ORCID 0000-0002-2120-3582
Erin J StringfellowHarvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA.
Marichi GuptaHarvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA.
Jillian RochelleHarvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA.
Elizabeth MasonHarvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA.
Toyya A PujolRAND Corporation, Arlington, VA 22202, USA.
Mohammad S JalaliHarvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA.ORCID 0000-0001-6769-2732
Harvard University · USGeorgia Institute of Technology · USRAND Corporation · USUniversity of Massachusetts Boston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Online communities such as Reddit can provide social support for those recovering from opioid use disorder. However, it is unclear whether and how advice-seekers differ from other users. Our research addresses this gap by identifying key characteristics of r/suboxone users that predict advice-seeking behavior. Objective: The objective of this analysis is to identify and describe advice-seekers on Reddit for buprenorphine-naloxone use using text annotation, social network analysis, and statistical modeling techniques. Methods: We collected 5258 posts and their comments from Reddit between 2014 and 2019. Among 202 posts which met our inclusion criteria, we annotated each post to determine which were advice-seeking (n = 137) or not advice-seeking (n = 65). We also annotated each posting user’s buprenorphine-naloxone use status (current versus formerly taking and, if currently taking, whether inducting or tapering versus other stages) and quantified their connectedness using social network analysis. To analyze the relationship between Reddit users’ advice-seeking and their social connectivity and medication use status, we constructed four models which varied in their inclusion of explanatory variables for social connectedness and buprenorphine use status. Results: The stepwise model containing “total degree” (p = 0.002), “using: inducting/tapering” (p < 0.001), and “using: other” (p = 0.01) outperformed all other models. Reddit users with fewer connections and who are currently using buprenorphine-naloxone are more likely to seek advice than those who are well-connected and no longer using the medication, respectively. Importantly, advice-seeking behavior is most accurately predicted using a combination of network characteristics and medication use status, rather than either factor alone. Conclusions: Our findings provide insights for the clinical care of people recovering from opioid use disorder and the nature of online medical advice-seeking overall. Clinicians should be especially attentive (e.g., through frequent follow-up) to patients who are inducting or tapering buprenorphine-naloxone or signal limited social support.

Indexed as

BuprenorphineOpioid-Related DisordersSocial MediaBuprenorphine, Naloxone Drug CombinationHumansSocial NetworkingBuprenorphineBuprenorphine, Naloxone Drug Combinationadvice-seekingbuprenorphine-naloxoneopioid use disordersocial network analysisSuboxone

Identifiers

PMID35627818
PMCPMC9141384
OpenAlexW4281259545

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.