Table 2.
A systematic review of quantitative studies investigating the intersection of gender and drug use stigma from the individual perspective (n = 13).
Individual Perspective of Stigma | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
# | Author (Year) | Study characteristics | Participant characteristics | Stigma-related variables | Summary of results | Quality Score | |||||
n | Population | Location | Design | Age | Gender 4 | Race/Ethnicity | |||||
28 | Khuat (2015) | 403 | Women who inject drugs | Hanoi& Ho Chi Minh City, Vietnam | Cross-sectional survey design. | Hanoi Mean: 32.8 HCMC Mean 27.3 | 100% women | NR | Asked participants 3 questions about how they perceived society viewed WWID. | Over 80% of the sample agreed society viewed WWID to be worse than MWID and of “bad character.” Over half of the sample agreed society viewed female drug use as worse than sex work. | 7 |
29 | van Boekel (2016) | 186 | Individuals in treatment for substance use disorders. | The Netherlands | Cross-sectional survey design. | Mean: 40.9 Range: 16–70 | 31.2% women, 67.7% men. | NR | The Dutch version of the Discrimination and Stigma Scale (DISC-12) assessed experienced and anticipated stigma. | Gender did not significantly predict experienced or anticipated substance use stigma. | 13 |
30 | Rivera (2014) | 132 | People who inject drugs accessing syringe pharmacy | Manhattan/the Bronx, New York US) | Cross-sectional survey design. | Mean: 42.7 | 19.9% women, 80.1% men. | 55.3% Lantinx, 31.1% White/Other, 13.6% Black | The Attitudes Towards Injection Drug Users Scale | Gender was not significantly related to PWID-related stigma scores. | 13 |
31 | Wilson (2014) | 236 | Needle and syringe program clients | Western Sydney, Australia | Cross-sectional survey design. | Mean: 39.0 | 34.3% women, 64.8% men, 0.8% trans gender | 22% Aboriginal, 78% Non-Aboriginal | Five items assessing perceived discrimination from NSP staff/health care workers. | Perceived stigma and discrimination from general health workers was not correlated with gender or any injection outcome variables. | 11 |
32 | Crawford (2012) | 647 | Recently initiated people who inject drugs and PWUD (heroin, cocaine, crack) | New York City, NY (US) | Cross-sectional survey study. | Median: 33 | 29.5% women, 70.5% men. | 48.8% Black, 37.1% Hispanic, 14.1% White/Other | Items assessing experiences of dis crimination for a variety of characteristics (including drug use) | No significant gender differences in drug use discrimination. | 12 |
33 | Luoma (2009) | 252 | Adults in treatment for substance use related problems. | United States | Cross-sectional survey design. | Mean: 30.5 Range: 18–63 | 42.1% women, 57.5% men. | 7 % Caucasian, 12% Latinx, 7% Other, 4% African American, 4% Native American, 1% Asian/Pacific Islander | Perceived Stigma of Addiction Scale (PSAS) Internalized Shame Scale (ISS) Internalized Stigma of Substance Abuse (ISSA) Stigma-Related Rejection Scale (SRS) - Adapted for substance use. | Perceived stigma (PSAS scores) was not related to gender. | 10 |
34 | Semple (2007) | 146 | Heterosexual, HIV negative adult women who use meth. | San Diego, CA (US) | Cross-sectional survey design. | Mean: 35.4 Range: 18–56 | 100% women | 45.2% Caucasian, 30.8% African American, 13.7% Latina, & 10.3% Other | Social stigma of meth use (14 items) | Women who had higher depressive symptoms had higher scores on social stigma of meth use. | 12 |
35 | Semple (2005) | 292 | Heterosexual adults who use meth. | san Diego, CA (US) | Cross-sectional survey design. | Mean: 37.8 | 27.7% women, 72.3% men. | 54.8% Caucasian | Three stigma scales developed for the study: (1) Expectations of rejection, (2) Experiences of rejection, & (3) Stigma coping strategies. | Gender was not correlated with experiences or expectations of rejection. | 11 |
36 | Friedman (2016) | 751 | People who inject drugs, High-risk heterosexuals, & men who have sexwith men | New York (US) | Cross-sectional survey design. | PWID Mean: 40.9 HRH Mean: 32.6 MSM Mean: 25.6 | PWID: 44% women, 56% men. HRH: 48% women, 52% men, (4 trans participants not in anlyses) MSM: 100% men | PWID: 54% Black, 57% Hispanic. HRH: 71% Black, 66% Hispanic. MSM: 56% Black, 54% Hispanic. | Five items assessing perceived attacks on participant dignity, witnessing dignity attacks on others, characteristics participants were attacked for, reactions to dignity attacks, and who committed the dignity attack. | 1% of PWID reported their dignity being attacked due to their gender - though MSM were more likely to report this than PWID. Also, 41% of dignity attacks for PWID came from mothers. And mothers were more likely to be reported as sources of dignity attacks for PWID than HRH or MSM. | 13 |
37 | Cama (2016) | 102 | People who inject drugs accessing an NSP | Sydney, Australia | Cross-sectional survey design. | lean: 39.4 | 23% women, 75% men, 2% transgender | NR | Seven items from an adapted Internalized Stigma of Mental Illness (ISMI) Five items to assess perceptions of discriminatory treatment by staff at the NSP. | Gender was not correlated with internalized stigma. | 11 |
38 | Semple (2009) | 402 | Heterosexual adults who use meth | San Diego, CA (US) | Cross-sectional survey design. | Mean: 36.9 Range: 18–63 | 33% women, 67% men. | 55% Caucasian, 29.9% African American, 15.1% Latinx | 14 item social stigma scale comprised of two dimensions: (1) Culturally-induced expectations of rejection, and (2) experiences of rejection. | In ethnicity by gender analyses - no significant gender differences in rejection were found. | 10 |
39 | Palamar (2012) | 700 | Adults | United States | Internet-based survey design. | Mean: 29.3 | 69% women, 31% men. | 67.1% White, 12.2% Hispanic, 9.1% Asian American, 7.3% Black, 4.3% Other | 10-item Stigma of Drug Users Scale. Measures perceptions of public stigma towards users. Developed a pe ceiv d rejection anc secrecy scale: 2 %ctors - (1) perceived rejection and (2) secrecy (anticipated stigma) | Older and male PWUD reported greater perceived rejection for substance use. There were no gender differences in secrecy regarding substance use. | 12 |
40 | Heath (2016) | 440 | Adult PWID | Bangkok, Thailand | Cross sectional survey design. | Median: 38 | 19.5% women, 80.5% men. | NR | One item of health care avoidance: “Do you sometimes avoid accessing healthcare services because you are a drug user?” | There were no gender differences in health care avoidance. | 13 |
NR = Not Reported.