| Literature DB >> 35954700 |
Alice Fiddian-Green1, Aline Gubrium2, Calla Harrington2, Elizabeth A Evans2.
Abstract
Opioid-related fatalities increased exponentially during the COVID-19 pandemic and show little sign of abating. Despite decades of scientific evidence that sustained engagement with medications for opioid use disorders (MOUD) yields positive psychosocial outcomes, less than 30% of people with OUD engage in MOUD. Treatment rates are lowest for women. The aim of this project was to identify women-specific barriers and facilitators to treatment engagement, drawing from the lived experience of women in treatment. Data are provided from a parent study that used a community-partnered participatory research approach to adapt an evidence-based digital storytelling intervention for supporting continued MOUD treatment engagement. The parent study collected qualitative data between August and December 2018 from 20 women in Western Massachusetts who had received MOUD for at least 90 days. Using constructivist grounded theory, we identified major themes and selected illustrative quotations. Key barriers identified in this project include: (1) MOUD-specific discrimination encountered via social media, and in workplace and treatment/recovery settings; and (2) fear, perceptions, and experiences with MOUD, including mental health medication synergies, internalization of MOUD-related stigma, expectations of treatment duration, and opioid-specific mistrust of providers. Women identified two key facilitators to MOUD engagement: (1) feeling "safe" within treatment settings and (2) online communities as a source of positive reinforcement. We conclude with women-specific recommendations for research and interventions to improve MOUD engagement and provide human-centered care for this historically marginalized population.Entities:
Keywords: medications for opioid use disorder; qualitative methods; stigma and substance use; substance use treatment; women and opioid use disorder
Mesh:
Substances:
Year: 2022 PMID: 35954700 PMCID: PMC9368271 DOI: 10.3390/ijerph19159346
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1CPPR Project Phases: Adaptation of Digital Storytelling Intervention to Enhance Engagement for Women Enrolled in Opioid Treatment Programs (OTP). * Source of data presented in this manuscript.
Participant characteristics.
| Women ( | |
|---|---|
| Age (mean ± SD) | 36.6 ± 9.5 years |
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| White, Non-Hispanic | 65% (13) |
| Black, Non-Hispanic | 5% (1) |
| Hispanic or Latina/x | 30% (6) |
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| <High school/HiSET | 5% (1) |
| High school/HiSET/Vocational | 30% (6) |
| Some college/Associate’s degree | 60% (12) |
| Bachelor’s degree | 5% (1) |
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| Employed full-time | 20% (4) |
| Employed part-time | 15% (3) |
| Laid off/Unemployed | 30% (6) |
| Disabled and not working | 25% (5) |
| Retired and not working | 10% (2) |
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| <$10,000 | 45% (9) |
| $10,001–$20,000 | 35% (7) |
| $20,001–$40,000 | 15% (3) |
| $40,001–$75,000 | 5% (1) |
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| |
| Age at 1st initiation of opioid use | 26.6 ± 7.1 years |
| Average duration of opioid use | 4.6 ± 5.0 years |
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| Age at 1st first treatment (mean ± SD) | 31.3 ± 11.1 years |
| Current MOUD treatment duration (mean ± SD) | 2.8 ± 2.4 years |
Key thematic findings, barriers and facilitators to MOUD engagement.
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Family and social networks Workplace settings Social media Hierarchies within the treatment and recovery community
Fear of side effects and medication synergies Internalized MOUD-Related Stigma Expectations of treatment duration Opioid-specific provider mistrust |
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Sense of safety in treatment settings Support from online communities |
Implications for Research and Intervention.
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Health communication efforts that promote treatment “success” stories Mobile health interventions to promote group social support for treatment engagement for women with OUD Outreach and education to address discrimination in workplace and online environments Patient education around the concept of OUD as a chronic condition, the importance of MOUD for treating OUD, and realistic expectations for treatment duration Shared decision making for MOUD selection between patients and providers Interventions that assess and address social hierarchies within treatment settings Understand MOUD side effects and interactions with mental health pharmacotherapies Integrate peer workers into treatment settings Examine and address opioid-specific provider mistrust |
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| □ Yes | □ No |
| □ White | |
| □ Married | |
| □ Lesbian, gay, or homosexual | |
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| □ Female | |
| □ Less than high school or GED | □ Some college or an Associate’s degree |
| □ Working full-time | □ Unemployed and not looking for work |
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| □ Yes | □ No |
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| □ Yes | □ No |
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| □ Yes | □ No □ Don’t know |
| □ USD10,000 or less | □ USD50,000-USD59,999 |
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| 1. Heroin | _____ years old | _____ years | _____ days |
| 2. Fentanyl | _____ years old | _____ years | _____ days |
| 3. Oxycodone | _____ years old | _____ years | _____ days |
| 4. Methadone | _____ years old | _____ years | _____ days |
| 5. Any other opiate or analgesic | _____ years old | _____ years | _____ days |
| 6. Buprenorphine | _____ years old | _____ years | _____ days |
| 7. Naltrexone | _____ years old | _____ years | _____ days |
| 9. Alcohol | _____ years old | _____ years | _____ days |
| 10. Marijuana, cannabis | _____ years old | _____ years | _____ days |
| 11. Cocaine, methamphetamine, amphetamines | _____ years old | _____ years | _____ days |
| 12. Sedatives, hypnotics, tranquilizers (valium, xanax, librium) | _____ years old | _____ years | _____ days |