IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v305y2022ics0277953622003409.html
   My bibliography  Save this article

Individual, interpersonal, and neighborhood measures associated with opioid use stigma: Evidence from a nationally representative survey

Author

Listed:
  • Lin, Qinyun
  • Kolak, Marynia
  • Watts, Beth
  • Anselin, Luc
  • Pollack, Harold
  • Schneider, John
  • Taylor, Bruce

Abstract

Despite growing awareness of opioid use disorder (OUD), fatal overdoses and downstream health conditions (e.g., hepatitis C and HIV) continue to rise in some populations. Various interrelated structural forces, together with social and economic determinants, contribute to this ongoing crisis; among these, access to medications for opioid use disorder (MOUD) and stigma towards people with OUD remain understudied. We combined data on methadone, buprenorphine, and naltrexone providers from SAMHSA's 2019 directory, additional naltrexone providers from Vivitrol's location finder service, with a nationally representative survey called “The AmeriSpeak survey on stigma toward people with OUD.” Integrating the social-ecological framework, we focus on individual characteristics, personal and family members' experience with OUD, and spatial access to MOUD at the community level. We use nationally representative survey data from 3008 respondents who completed their survey in 2020. Recognizing that stigma is a multifaceted construct, we also examine how the process varies for different types of stigma, specifically perceived dangerousness and untrustworthiness, as well as social distancing measures under different scenarios. We found a significant association between stigma and spatial access to MOUD — more resources are related to weaker stigma. Respondents had a stronger stigma towards people experiencing current OUD (versus past OUD), and they were more concerned about OUD if the person would marry into their family (versus being their coworkers). Additionally, respondents' age, sex, education, and personal experience with OUD were also associated with their stigma, and the association can vary depending on the specific type of stigma. Overall, stigma towards people with OUD was associated with both personal experiences and environmental measures.

Suggested Citation

  • Lin, Qinyun & Kolak, Marynia & Watts, Beth & Anselin, Luc & Pollack, Harold & Schneider, John & Taylor, Bruce, 2022. "Individual, interpersonal, and neighborhood measures associated with opioid use stigma: Evidence from a nationally representative survey," Social Science & Medicine, Elsevier, vol. 305(C).
  • Handle: RePEc:eee:socmed:v:305:y:2022:i:c:s0277953622003409
    DOI: 10.1016/j.socscimed.2022.115034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953622003409
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2022.115034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hatzenbuehler, M.L. & Phelan, J.C. & Link, B.G., 2013. "Stigma as a fundamental cause of population health inequalities," American Journal of Public Health, American Public Health Association, vol. 103(5), pages 813-821.
    2. Bauer, Greta R., 2014. "Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity," Social Science & Medicine, Elsevier, vol. 110(C), pages 10-17.
    3. Alexander C Tsai & Mathew V Kiang & Michael L Barnett & Leo Beletsky & Katherine M Keyes & Emma E McGinty & Laramie R Smith & Steffanie A Strathdee & Sarah E Wakeman & Atheendar S Venkataramani, 2019. "Stigma as a fundamental hindrance to the United States opioid overdose crisis response," PLOS Medicine, Public Library of Science, vol. 16(11), pages 1-18, November.
    4. Marsh, Jeanne C. & Cao, Dingcai & Guerrero, Erick & Shin, Hee-Choon, 2009. "Need-service matching in substance abuse treatment: Racial/ethnic differences," Evaluation and Program Planning, Elsevier, vol. 32(1), pages 43-51, February.
    5. Brian Cushing & Elham Erfanian, 2021. "An Evaluation of Databases Drawn from the National Survey of Substance Abuse Treatment Services (N-SSATS)," Working Papers Research Paper 2021-07, Regional Research Institute, West Virginia University.
    6. Seng, Julia S. & Lopez, William D. & Sperlich, Mickey & Hamama, Lydia & Reed Meldrum, Caroline D., 2012. "Marginalized identities, discrimination burden, and mental health: Empirical exploration of an interpersonal-level approach to modeling intersectionality," Social Science & Medicine, Elsevier, vol. 75(12), pages 2437-2445.
    7. Bowleg, L., 2012. "The problem with the phrase women and minorities: Intersectionality-an important theoretical framework for public health," American Journal of Public Health, American Public Health Association, vol. 102(7), pages 1267-1273.
    8. Colleen McLuckie & Mai T. Pho & Kaitlin Ellis & Livia Navon & Kelly Walblay & Wiley D. Jenkins & Christofer Rodriguez & Marynia A. Kolak & Yen-Tyng Chen & John A. Schneider & Whitney E. Zahnd, 2019. "Identifying Areas with Disproportionate Local Health Department Services Relative to Opioid Overdose, HIV and Hepatitis C Diagnosis Rates: A Study of Rural Illinois," IJERPH, MDPI, vol. 16(6), pages 1-14, March.
    9. Brian Cushing & Elham Erfanian, 2021. "An Evaluation of Databases Drawn from the National Survey of Substance Abuse Treatment Services (N-SSATS)," Working Papers Resource Document 2021-01, Regional Research Institute, West Virginia University.
    10. Webster, Fiona & Rice, Kathleen & Sud, Abhimanyu, 2020. "A critical content analysis of media reporting on opioids: The social construction of an epidemic," Social Science & Medicine, Elsevier, vol. 244(C).
    11. Eshetu Girma & Markos Tesfaye & Guenter Froeschl & Anne Maria Möller-Leimkühler & Norbert Müller & Sandra Dehning, 2013. "Public Stigma against People with Mental Illness in the Gilgel Gibe Field Research Center (GGFRC) in Southwest Ethiopia," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    2. Scheim, Ayden I. & Bauer, Greta R., 2019. "The Intersectional Discrimination Index: Development and validation of measures of self-reported enacted and anticipated discrimination for intercategorical analysis," Social Science & Medicine, Elsevier, vol. 226(C), pages 225-235.
    3. Daniel Demant & Oscar Oviedo-Trespalacios & Julie-Anne Carroll & Jason A. Ferris & Larissa Maier & Monica J. Barratt & Adam R. Winstock, 2018. "Do people with intersecting identities report more high-risk alcohol use and lifetime substance use?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(5), pages 621-630, June.
    4. Alvarez, Camila H. & Evans, Clare Rosenfeld, 2021. "Intersectional environmental justice and population health inequalities: A novel approach," Social Science & Medicine, Elsevier, vol. 269(C).
    5. Silvia Loi & Peng Li & Mikko Myrskylä, 2022. "At the intersection of adverse life course pathways: the effects on health by nativity," MPIDR Working Papers WP-2022-018, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    7. Evans, Clare R. & Williams, David R. & Onnela, Jukka-Pekka & Subramanian, S.V., 2018. "A multilevel approach to modeling health inequalities at the intersection of multiple social identities," Social Science & Medicine, Elsevier, vol. 203(C), pages 64-73.
    8. Tuyet-Mai H. Hoang & Ainslee Wong, 2022. "Exploring the Application of Intersectionality as a Path toward Equity in Perinatal Health: A Scoping Review," IJERPH, MDPI, vol. 20(1), pages 1-25, December.
    9. Evans, Clare R., 2019. "Adding interactions to models of intersectional health inequalities: Comparing multilevel and conventional methods," Social Science & Medicine, Elsevier, vol. 221(C), pages 95-105.
    10. Tristen Hall & Ronica Rooks & Carol Kaufman, 2020. "Intersections of Adverse Childhood Experiences, Race and Ethnicity and Asthma Outcomes: Findings from the Behavioral Risk Factor Surveillance System," IJERPH, MDPI, vol. 17(21), pages 1-19, November.
    11. Anna Persmark & Maria Wemrell & Sofia Zettermark & George Leckie & S V Subramanian & Juan Merlo, 2019. "Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-21, August.
    12. Bauer, Greta R., 2014. "Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity," Social Science & Medicine, Elsevier, vol. 110(C), pages 10-17.
    13. Philipp Jaehn & Emily Mena & Sibille Merz & Robert Hoffmann & Antje Gößwald & Alexander Rommel & Christine Holmberg & on behalf of the ADVANCE GENDER study group, 2020. "Non-response in a national health survey in Germany: An intersectionality-informed multilevel analysis of individual heterogeneity and discriminatory accuracy," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    14. Beccia, Ariel L. & Baek, Jonggyu & Austin, S. Bryn & Jesdale, William M. & Lapane, Kate L., 2021. "Eating-related pathology at the intersection of gender identity and expression, sexual orientation, and weight status: An intersectional Multilevel Analysis of Individual Heterogeneity and Discriminat," Social Science & Medicine, Elsevier, vol. 281(C).
    15. Sun, Shufang & Crooks, Natasha & Kemnitz, Rebecca & Westergaard, Ryan P., 2018. "Re-entry experiences of Black men living with HIV/AIDS after release from prison: Intersectionality and implications for care," Social Science & Medicine, Elsevier, vol. 211(C), pages 78-86.
    16. Collins, Alexandra B. & Boyd, Jade & Cooper, Hannah L.F. & McNeil, Ryan, 2019. "The intersectional risk environment of people who use drugs," Social Science & Medicine, Elsevier, vol. 234(C), pages 1-1.
    17. Truong-Vu, Kim-Phuong, 2021. "On-time, late, or never: Incorporating intersectionality to predict age-specific probabilities of initiating the HPV vaccine series," Social Science & Medicine, Elsevier, vol. 287(C).
    18. Aránzazu Hernández-Yumar & Maria Wemrell & Ignacio Abásolo-Alessón & Beatriz González López-Valcárcel & Juan Merlo, 2023. "Impact of the Economic Crisis on Body Mass Index in Spain: An Intersectional Multilevel Analysis Using a Socioeconomic and Regional Perspective," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-31, August.
    19. Jacques- Aviñó, Constanza & Peralta, Andrés & Carrere, Juli & Marí-Dell'Olmo, Marc & Benach, Joan & López, María-José, 2022. "Qualitative evaluation of an intervention to reduce energy poverty: Effects perceived by participants according to typologies of social vulnerability," Energy Policy, Elsevier, vol. 167(C).
    20. Fagrell Trygg, Nadja & Månsdotter, Anna & Gustafsson, Per E., 2021. "Intersectional inequalities in mental health across multiple dimensions of inequality in the Swedish adult population," Social Science & Medicine, Elsevier, vol. 283(C).

    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:eee:socmed:v:305:y:2022:i:c:s0277953622003409. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.