IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6281-d821108.html
   My bibliography  Save this article

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

Author

Listed:
  • Gian-Gabriel P. Garcia

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
    These authors contributed equally to this work.)

  • Ramin Dehghanpoor

    (Computer Science Department, University of Massachusetts Boston, Boston, MA 02125, USA
    These authors contributed equally to this work.)

  • Erin J. Stringfellow

    (Harvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA)

  • Marichi Gupta

    (Harvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA)

  • Jillian Rochelle

    (Harvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA)

  • Elizabeth Mason

    (Harvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA)

  • Toyya A. Pujol

    (RAND Corporation, Arlington, VA 22202, USA)

  • Mohammad S. Jalali

    (Harvard Medical School, MGH Institute for Technology Assessment, Boston, MA 02115, USA
    Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139, USA)

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.

Suggested Citation

  • Gian-Gabriel P. Garcia & Ramin Dehghanpoor & Erin J. Stringfellow & Marichi Gupta & Jillian Rochelle & Elizabeth Mason & Toyya A. Pujol & Mohammad S. Jalali, 2022. "Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use," IJERPH, MDPI, vol. 19(10), pages 1-11, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6281-:d:821108
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6281/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/6281/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6281-:d:821108. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.