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RESEARCH AND PRACTICE |
The authors are with RTI International, Research Triangle Park, NC.
Correspondence: Requests for reprints should be sent to Wendee M. Wechsberg, PhD, RTI International, 3040 Cornwallis Drive, P.O. Box 12194, Research Triangle Park, NC 277092194 (e-mail: wmw{at}rti.org).
| ABSTRACT |
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Objectives. This study compares 3- and 6-month outcomes of a woman-focused HIV intervention for crack abusers, a revised National Institute on Drug Abuse standard intervention, and a control group.
Methods. Out-of-drug-treatment African American women (n = 620) who use crack participated in a randomized field experiment. Risk behavior, employment, and housing status were assessed with linear and logistic regression.
Results. All groups significantly reduced crack use and high-risk sex at each follow-up, but only woman-focused intervention participants consistently improved employment and housing status. Compared with control subjects at 6 months, woman-focused intervention participants were least likely to engage in unprotected sex; revised standard intervention women reported greatest reductions in crack use.
Conclusions. A woman-focused intervention can successfully reduce risk and facilitate employment and housing and may effectively reduce the frequency of unprotected sex in the longer term.
| INTRODUCTION |
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African American women who use crack are especially at risk because many engage in high-risk behaviors and live in social contexts that increase their vulnerability.18 Few of these women are self-sufficient, and they report high levels of public assistance, homelessness, and unemployment; low levels of education; and poverty-level incomes.1924 The social contexts of substance-using women are also characterized by violence and crime, with high rates of childhood and current victimization.3,2531 As a result, they report low self-image; symptoms of depression, anxiety,32,33 and posttraumatic stress disorder34; significant medical problems; frequent emergency room visits27; and needs for other resources.35
HIV risk-reduction interventions for women can be effective in reducing sex-risk behaviors and increasing HIV/AIDS knowledge and self-efficacy.3645 Such interventions should be grounded in social psychological theory; incorporate multiple, women-only sessions led by peers; address gender-related influences; and be culturally sensitive.36,38
Recently, researchers have recognized the importance of the multiple social contexts in which women live and have targeted personal empowerment in economic resources and relationships46 as a vehicle to help women understand and change HIV risk behaviors.4658 HIV research grounded in womens empowerment theory recognizes that a womans ability and willingness to protect herself from HIV is influenced by her sense of empowerment developed through daily interactions and experiences in her social contexts.52,5558 This approach moves beyond behavioral skill-building methods emphasized in social cognitively based studies to address power differentials in society and partner influences in relationships that may affect a womans sexual behavior and negotiation practices.53,54 These empowerment-based studies acknowledge that womens sexual behaviors may occur within a social context that condones passivity and inequality in sexual matters and oppression by socioeconomic class and race. Interventions targeting African American women need to acknowledge the unique multiple influences on these women and identify strategies to effectively change risk behaviors and life situations.
The health benefits of facilitating empowerment for minority women have only recently received attention in the HIV prevention literature.50,53,5659 Incorporating ways for women to increase their personal power within relationship and economic contexts has been critical to the success of HIV risk-reduction interventions.46,48,51,53,54,58,60 For example, a culturally sensitive HIV prevention intervention designed specifically to facilitate relationship power with inner-city women effectively increased safer-sex intentions and behaviors through follow-up at 6 months.53 This intervention used skill-building, cognitive rehearsal, and guided imagery to promote womens ownership of their bodies and positive health choices in the social contexts in which their behaviors occurred. A study of HIV risk behavior among Latinas who did not use drugs found that economic resource power, as indicated by employment, had both direct and mediating effects on psychological symptoms and unprotected vaginal sex.46,60 Becoming employed may reduce womens HIV risk by increasing a womans resource power and providing behavioral alternatives that foster a healthier sense of self-worth. Similarly, overcoming homelessness, an established risk factor among African American women who use crack,3,5 may also help women to reduce drug use, to become independent of a drug-using lifestyle, and to instead make healthier life choices.
We examine the effectiveness (at 3- and 6-month follow-up) of a personalized HIV intervention tailored to gender and culture, compared with a standard intervention and a delayed treatment control group, to reduce sex-risk behaviors and drug use and increase employment and housing status among African American women who use crack.
| METHODS |
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Eligibility Criteria
Women who met preliminary eligibility criteria were referred to field sites for final determination of eligibility. Eligible participants were at least 18 years of age, reported engaging in unprotected sex during the previous 90 days, and admitted using crack on at least 13 of the past 90 days. Women who reported being enrolled in substance abuse treatment within the past 30 days were excluded.
Data Collection
All study participants were assessed by self-report at a 2-part intake occurring 1 to 2 weeks apart and at 3- and 6-month follow-up interviews. Participants received $20 compensation at each intake and $25 and $40 for the 3- and 6-month follow-up interviews, respectively. Urine drug screens for cocaine and opiates were performed on site at intake and at 6-month follow-up to help validate self-report data; HIV antibody testing was conducted at intervention session 1 and at 6-month follow-up. Follow-up interviews also captured data on health services received. Process measures helped determine exposure to interventions (including competing programs), compliance, and costs associated with exposure. They also provided quality checks on protocol fidelity. For additional quality assurance, staff audiotaped every eighth interview session for review by the field supervisor.
Recruitment began in January 1999 and ended in August 2001. A total of 938 women completed intake 1. Seven hundred sixty two women (81%) completed intake 2 and were randomly assigned to study conditions; we controlled for injection drug use history, age (< 30 or
30years), and previous intervention experience. Although the 176 women who did not return for intake 2 were comparable to study participants on most demographic characteristics, they were more likely to report daily crack use (33% vs 22%, P < .01), sex trading (56% vs 44%, P < .01), and multiple sexual partners in the past 30 days (61% vs 47%, P < .001).
Intervention
After intake 2, women were randomly assigned to 1 of 3 study conditions: (1) the woman-focused intervention, (2) a revised intervention modeled on the National Institute on Drug Abuse (NIDA) standard HIV prevention intervention (the standard-R group),65 and (3) a delayed-treatment control group. African American women indigenous to the community were trained to deliver both interventions to minimize interventionist effects. The field supervisor conducted biweekly supervision meetings with interventionists, observed staff conducting individual sessions, and videotaped group sessions to monitor the fidelity of intervention implementation. The woman-focused and standard-R interventions each comprised 4 modules that included 2 individual and 2 group sessions. Session 1 immediately followed intake 2, and each subsequent session occurred within 2 weeks of the prior session. All women in both the standard-R and woman-focused groups completed at least 1 intervention session, with 67% of women in the standard-R group and 65% of women in the woman-focused group completing all 4 intervention sessions. The womanfocused and standard-R interventions are summarized in the following sections. Table 1
outlines each intervention session in detail.
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The 2 individual sessions focused on pre- and posttest counseling that addressed risk issues specific to the study population and offered personalized feedback about risk that allowed women to develop individualized behavior change plans according to their unique life situations. Group sessions used a support-based format to help women understand how they are affected by the multiple contextual influences in their lives and to teach portable skills to reduce risk and increase a sense of power. Women also received information for developing support networks and linkages to social services. Goal-setting focused not only on drug use and sex-risk behaviors, but also on life issues such as education, employment, housing, and parenting. The goals for women were to reduce risk and to take concrete empowering steps toward independence (e.g., through full-time employment and stable housing).
The standard-R group. The standard-R groupmodeled on the NIDA standard HIV prevention intervention as revised by a cohort of 6 cooperative agreement sites6,65 was similar in educational content to the woman-focused intervention but did not incorporate the gender- or culture-specific empowerment approach to develop ones life and change social contexts. After 2 individual sessions focusing on HIV pre- and posttest counseling, 2 group sessions offered general health education lectures and videos in a didactic format.
The control group. The control group received no intervention during the first 6 months of study enrollment. At 6-month follow-up, women in the control group were invited to participate in the standard-R intervention; 35% of these women (n = 87) attended at least 1 intervention session.
Study Sample
The present sample comprises 620 (81%) randomly assigned participants who completed either the 3-month or 6-month follow-up interview. HIV prevalence at baseline among those tested was 5.5%, with no seroconversions. Table 2
presents background characteristics of the sample.
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Measures
African American women from the community were trained as interviewers to administer the Revised Risk Behavior Assessment (RRBA) and other supplemental assessments at intake 1 and intake 2 with a computerassisted personal interview. Each session lasted approximately 45 minutes. The RRBA is based on the NIDA-developed Risk Behavior Assessment (RBA) and has demonstrated acceptable levels of reliability with the present study population.3 The RBA, which has yielded acceptable levels of reliability (r
.7) and concurrence with urine tests,6870 was revised for this project to focus on womens risk issues.71 The RRBA was the core instrument for assessing the following 10 domains: demographics, drug use (ever, past month), drug injecting, drug use (past 48 hours), drug user treatment, sexual activity, sex trading, health, arrests, and work and income. Outcome measures used in the present study are described in the following paragraphs.
Sex risk. Sex risk was measured as any unprotected sexual acts (vaginal or anal sex, fellatio) and any sex trading in the past 30 days.
Crack use. Crack use was measured as the number of days crack was used in the past 30 days.
Homelessness. Homelessness was assessed by the question, "Do you consider yourself to be homeless?" This question was included in the RBA and has been established as a measure of homelessness in numerous studies.3,4,72
Full-time employment. Employment status was assessed with the question, "Which of the following best describes your current work situation?" Response options included unemployed and looking for work; unemployed and not looking; working full time, 35 hours or more per week; working part time, less than 35 hours per week; employed but on leave; full-time homemaker; retired; student; or disabled. Study participants who selected the response, "working full-time, 35 hours or more per week," were coded as working full time; other responses were coded as not working full time.
Analysis
The initial analysis examined differential attrition, comparing baseline characteristics of women who did not complete either 3- or 6-month assessment by conducting cross-tabulation and statistical testing (t test for continuous and
2 test for binary data).
Analyses of change compared the differences in the proportions and means of the woman-focused and standard-R intervention groups with controls separately for 3- and 6-month follow-up interviews, accounting for baseline values and within-subject correlation. Statistical significance of changes in crack use was assessed using paired t tests; changes in homelessness, full-time employment, and any unprotected sex were assessed using the McNemar test.
We estimated and tested the effects of intervention assignment on major study outcomes at 3 and 6 months. Crack use at each follow-up was assessed using linear regression analysis that included baseline use as a covariate. Intervention effects on binary outcome variables of homelessness, employment, and any unprotected and trading sex were assessed using multiple logistic regression analysis that controlled for baseline status. Group comparisons were performed using an intent-to-treat analysis according to group assignment.
| RESULTS |
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Trading Sex
All study conditions demonstrated significant reductions in the proportion of women reporting trading sex for money or drugs in the past 30 days between baseline and 3- and 6-month follow-up (Table 3
). Both intervention groups showed significant reductions in the percentage of women who traded sex compared with control subjects, with the standard-R group (OR = 0.48, P = .007) having slightly stronger effects than the woman-focused group (OR = 0.58, P = .046) at 3-month follow-up. At 6 months, these trends in reduction continued, although they were not statistically significant. The results of the logistic regression model adjusted for trading sex in the past 30 days at baseline are presented in Table 4
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Homelessness
Between baseline and 3-month follow-up, only woman-focused participants demonstrated a significant reduction in homelessness. The standard-R group showed nonsignificant decreases in homelessness, whereas the percentage of control group participants reporting homelessness increased slightly. At 6 months, the woman-focused and control groups showed significant decreases in homelessness, whereas the standard-R group showed nonsignificant improvements in housing status from baseline (Table 3
). In multiple logistic regression analysis controlling for baseline homelessness, woman-focused and standard-R groups reported statistically significant decreases in homelessness compared with the control group. At 3 months, the odds of being homeless were the lowest in the woman-focused group (OR = 0.35, P = .0002). At 6-month follow-up, the woman-focused group continued to report the lowest percentage of homeless women compared with the standard-R and control groups, although the effects were not statistically significant. Results of the logistic regression model for homelessness are presented in Table 4
.
Employment
Between baseline and 3-month follow-up, the percentage of participants employed full time increased in all 3 groups, with significant improvements experienced only within the woman-focused group. Between baseline and 6 months, all 3 groups reported significant increases in full-time employment (Table 3
). In multiple logistic regression analysis controlling for full-time employment at baseline, the odds of being employed full time at 3 months were significantly higher in the woman-focused group relative to both controls (OR = 2.53; P = .0027) and the standard-R group (OR = 2.02, P = .0175). The standard-R group also showed greater increases in employment than controls at 3 months, although this effect was not statistically significant (OR = 1.25, P = .4871). At 6 months, both the woman-focused and standard-R groups showed relatively greater improvements in full-time employment, although these effects were not statistically significant. Logistic regression model results for full-time employment are presented in Table 4
.
| DISCUSSION |
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Although street outreach targeted a range of neighborhoods, this method limits the sample to women approached by outreach workers and peer advocates and thus does not engender a fully representative sample of African American women who use crack cocaine. Nonetheless, this sample has been found to be similar to other African American, crack-using women in low-income inner-city communities who are at high risk for acquiring HIV.57,73
| CONCLUSIONS |
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Although the woman-focused participants reported significant improvements in risk behaviors, employment, and housing at both 3 and 6 months (Table 3
), the gains made by standard-R and control group participants at 6-month follow-up reduced the relative effects of the woman-focused intervention when compared with the control group. The exception to this trend was the percentage of women reporting any unprotected sex. By 6 months, woman-focused participants were significantly more likely than women in the other groups to stop having unprotected sex. Overall, some intervention appears better than no intervention, and a gender-specific and culturally tailored intervention may be more effective than a standard intervention at reducing sex risk over time. Historically, sex-risk behaviors have been difficult for HIV interventions to change, which makes this finding encouraging.
Because, relative to the other groups, significantly fewer participants in the womanfocused intervention received public assistance benefits in the past year, we ran additional models that included this variable. However, post hoc logistic regression analysis with group assignment, baseline employment, and benefits status found no independent effects of benefit status on full-time employment at 3-month follow-up. Similar analysis for homelessness at 3-month follow-up found that benefits status, homelessness at baseline, and intervention group assignment each significantly predicted homelessness at follow-up. This analysis indicated that women who did not receive benefits at baseline were more likely to be homeless at follow-up, lending further support to the woman-focused intervention effects at helping women empower themselves to find housing.
This study lends credence to the utility of interventions that target women with high-risk behaviors who live in multiple-stressor environments to be individualized and tailored to their culture, gender, and unique life circumstances. Helping women to empower themselves to reduce specific risk behaviors and raise their self-sufficiency through full-time employment and stable housing, which are linked to improved health outcomes, may be one key to sustaining short-term and potentially longer term risk reduction and healthy behaviors. It is essential to conduct further studies to measure long-term durability of intervention effects that specifically address how risk behavior and contextual barriers change over time to affect womens healthy behavior choices. Given the cyclical nature of addiction, additional interventions may be needed to help these women continue the process of reducing HIV risk and attaining independence despite contextual barriers.
| Acknowledgments |
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We thank the women participants, community advisory board, community service agencies, field staff, and RTI support staff.
Note. The interpretations and conclusions presented here do not represent the position of NIDA or the US Dept of Health and Human Services.
Human Participant Protection
The institutional review board of RTI International approved this research on a yearly basis.
| Footnotes |
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Accepted for publication August 3, 2003.
| References |
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|
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2. Metsch LR, McCoy CB, McCoy HV, et al. HIV-related risk behaviors and seropositivity among homeless drug-abusing women in Miami, Florida. J Psychoactive Drugs. 1995;27:435446.[ISI][Medline]
3. Wechsberg WM, Lam WK, Zule WA, Hall G, Middlesteadt R, Edwards J. Violence, homelessness, and HIV risk among crack-using African-American women. Subst Use Misuse. 2003;38:671701.
4. Logan TK, Leukefeld C. Sexual and drug use behaviors among female crack users: a multi-site sample. Drug Alcohol Depend. 2000;58:237245.[ISI][Medline]
5. Nyamathi AM, Stein JA, Swanson JM. Personal, cognitive, behavioral, and demographic predictors of HIV testing and STDs in homeless women. J Behav Med. 2000;23:123147.[ISI][Medline]
6. Wechsberg WM, Desmond D, Inciardi JA, Leukefeld C, Cottler LB, Hoffman J. HIV prevention protocols: adaption to evolving trends in drug abuse. J Psychoactive Drugs. 1998;30:291298.[ISI][Medline]
7. Inciardi JA. Crack, crack house sex, and HIV risk. Arch Sex Behav. 1995;24:249269.[ISI][Medline]
8. Wingood GM, DiClemente RJ. The influence of psychosocial factors, alcohol, drug use on African-American womens high-risk sexual behavior. Am J Prev Med. 1998;15:5459.[ISI][Medline]
9. Baseman J, Ross M, Williams M. Sale of sex for drugs and drugs for sex: an economic context of sexual risk behavior for STDs. Sex Transm Dis. 1999;26:444449.[ISI][Medline]
10. Tortu S, McCoy HV, Beardsley M, Deren S, McCoy CB. Predictors of HIV infection among women drug users in New York and Miami. Women Health. 1998;27:191204.[ISI][Medline]
11. Falck RS, Wang J, Carlson RG, Siegal HA. Factors influencing condom use among heterosexual users of injection drugs and crack cocaine. Sex Transm Dis. 1997;24:204210.[ISI][Medline]
12. Booth RE, Kwiatkowski CF, Chitwood DD. Sex-related HIV risk behaviors: differential risks among injection drug users, crack smokers, and injection drug users who smoke crack. Drug Alcohol Depend. 2000;58:219226.[ISI][Medline]
13. Carlson RG, Falck RS, Wang J, Siegal HA, Rahman A. HIV needle risk behaviors and drug use: a comparison of crack-smoking and nonsmoking injection drug users in Ohio. J Psychoactive Drugs. 1999;31:291297.[ISI][Medline]
14. Semaan S, Kotranski L, Collier K, Lauby J, Halbert J, Feighan K. Temporal trends in HIV risk behaviors of out-of-treatment injection drug users and injection drug users who smoke crack. J Acquir Immune Defic Syndr Hum Retrovirol. 1998;19:274281.[Medline]
15. Jones DL, Irwin KL, Inciardi J, et al. The high-risk sexual practices of crack-smoking sex workers recruited from the streets of three American cities: the Multicenter Crack Cocaine and HIV Infection Study Team. Sex Transm Dis. 1998;25:187193.[ISI][Medline]
16. Ross MW, Hwang LY, Leonard L, Teng M, Duncan L. Sexual behaviour, STDs and drug use in a crack house population. Int J STD AIDS. 1999;10:224230.
17. el-Bassel N, Gilbert L, Schilling RF, Ivanoff A, Borne D, Safyer SF. Correlates of crack abuse among drug-using incarcerated women: psychological trauma, social support, and coping behavior. Am J Drug Alcohol Abuse. 1996;22:4156.[ISI][Medline]
18. Roberts AC, Wechsberg WM, Zule W, Burroughs AR. Contextual factors and other correlates of sexual risk of HIV among African-American crack-abusing women. Addict Behav. 2003;28:523536.[ISI][Medline]
19. Marsh KL, Simpson DD. Sex differences in opioid addiction careers. Am J Drug Alcohol Abuse. 1986;12:309329.[ISI][Medline]
20. Brunswick AF, Flory MJ. Changing HIV infection rates and risk in an African-American community cohort. AIDS Care. 1998;10:267281.[ISI][Medline]
21. Edlin BR, Irwin KL, Ludwig DD, et al. High-risk sex behavior among young street-recruited crack cocaine smokers in three American cities: an interim report. The Multicenter Crack Cocaine and HIV Infection Study Team. J Psychoactive Drugs. 1992;24:363371.[ISI][Medline]
22. Wechsberg WM, Cavanaugh ER. Differences found between women in and out of treatment: implications for interventions. In: Stevens SJ, Wexler HK, eds. Women and Substance Abuse. Binghamton, NY: Haworth Press; 1998:6582.
23. McCoy HV, Inciardi JA. Women and AIDS: social determinants of sex-related activities. Women Health. 1993;20:6986.[ISI][Medline]
24. Moore J, Hamburger ME, Vlahov D, Schoenbaum EE, Schuman P, Mayer K. Longitudinal study of condom use patterns among women with or at risk for HIV. AIDS Behav. 2001;5:263273
25. Ladwig GB, Andersen MD. Substance abuse in women: relationship between chemical dependency of women and past reports of physical and/or sexual abuse. Int J Addict. 1989;24:739754.[ISI][Medline]
26. Boyd CJ. The antecedents of womens crack cocaine abuse: family substance abuse, sexual abuse, depression and illicit drug use. J Substance Abuse Treat. 1993;10:433438.[ISI][Medline]
27. Liebschutz JM, Mulvey KP, Samet JH. Victimization among substance-abusing women: worse health outcomes. Arch Intern Med. 1997;157:10931097.[Abstract]
28. Rohsenow DJ, Corbett R, Devine D. Molested as children: a hidden contribution to substance abuse? J Substance Abuse Treat. 1988;5:1318.[ISI][Medline]
29. Wallen J. A comparison of male and female clients in substance abuse treatment. J Substance Abuse Treat. 1992;9:243248.[ISI][Medline]
30. Roberts A, Jackson MS, Carlton-LaNey I. Revisiting the need for feminism and Afrocentric theory when treating African American female substance abusers. J Drug Issues. 2000;30:901918.
31. Zule WA, Flannery BA, Wechsberg WM, Lam WK. Alcohol use among out-of-treatment crack using African-American women. Am J Drug Alcohol Abuse. 2002;28:525544.[ISI][Medline]
32. Griffin ML, Weiss RD, Mirin SM, Lange U. A comparison of male and female cocaine abusers. Arch Gen Psychiatry. 1989;46:122126.[Abstract]
33. Nyamathi A, Keenan C, Bayley L. Differences in personal, cognitive, psychological, and social factors associated with drug and alcohol use and nonuse by homeless women. Res Nurs Health. 1998;21:525532.[ISI][Medline]
34. Cottler LB, Compton WM III, Mager D, Spitznagel EL, Janca A. Posttraumatic stress disorder among substance users from the general population. Am J Psychiatry. 1992;149:664670.
35. Walton MA, Blow FC, Booth BM. Diversity in relapse prevention needs: gender and race comparisons among substance abuse treatment patients. Am J Drug Alcohol Abuse. 2001;27:225240.[ISI][Medline]
36. Mize SJ, Robinson BE, Bockting WO, Scheltema KE. Meta-analysis of the effectiveness of HIV prevention interventions for women. AIDS Care. 2002;14:163180.[ISI][Medline]
37. Exner TM, Seal DW, Ehrhardt AA. A review of HIV interventions for at-risk women. AIDS Behav. 1997;1:93124.
38. Wingood GM, DiClemente RJ. HIV sexual risk reduction interventions for women: a review. Am J Prev Med. 1996;12:209217.[ISI][Medline]
39. Rotheram-Borus MJ. Annotation: HIV prevention challengesrealistic strategies and early detection programs. Am J Public Health. 1997;87:544546.
40. St Lawrence JS, Wilson TE, Eldridge GD, Brasfield TL, OBannon RE III. Community-based interventions to reduce low-income, African American womens risk of sexually transmitted diseases: a randomized controlled trial of three theoretical models. Am J Community Psychol. 2001;29:937964.[ISI][Medline]
41. Wechsberg WM, Zule W, Roberts A, Perritt R, Middlesteadt R, Hall G. Efficacy of a woman-focused Afrocentric intervention on reducing crack use and sexual risk among crack-using African-American women. Paper presented at: 129th Meeting of the American Public Health Association, October 2125, 2001; Atlanta, GA.
42. DiClemente RJ, Wingood GM. A randomized controlled trial of an HIV sexual risk-reduction intervention for young African-American women. JAMA. 1995;274:12711276.[Abstract]
43. Nyamathi AM, Leake B, Flaskerud J, Lewis C, Bennett C. Outcomes of specialized and traditional AIDS counseling programs for impoverished women of color. Res Nurs Health. 1993;16:1121.[ISI][Medline]
44. Kelly JA, Murphy DA, Washington CD, et al. The effects of HIV/AIDS intervention groups for high-risk women in urban clinics. Am J Public Health. 1994;84:19181922.
45. Cottler LB, Compton WM, Ben Abdallah A, et al. Peer-delivered interventions reduce HIV risk behaviors among out-of- treatment drug abusers. Public Health Rep. 1998;113(suppl 1):3141.[Medline]
46. Saul J, Noris FH, Bartolow KK, Dixon D, Peters M, Moore J. Heterosexual risk for HIV among Puerto Rican women: does power influence self-protective behavior? AIDS Behav. 2000;4:361371.
47. Amaro H. Love, sex, and power: considering womens realities in HIV prevention. Am Psychol. 1995;50:437447.[Medline]
48. Amaro H, Raj A. On the margin: power and womens HIV risk reduction strategies. Sex Roles. 2000;42:723749.[ISI]
49. Blanc AK. The effect of power in sexual relationships on sexual and reproductive health: an examination of the evidence. Stud Fam Plann. 2001;32:189213.[ISI][Medline]
50. Highsmith CS. HIV and women using empowerment as a prevention tool. N HC Perspect Community. 1997;18:69.[ISI][Medline]
51. Pulerwitz J, Gortmaker SL, DeJong W. Measuring sexual relationship power in HIV/STD research. Sex Roles. 2000;42:637660.[ISI]
52. Wingood GM, DiClemente RJ. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Health Educ Behav. 2000;27:539565.
53. MacKenzie JE, Hobfoll SE, Ennis N, Kay J, Jackson A, Lavin J. Reducing AIDS risk among inner-city women: a review of the Collectivist Empowerment AIDS Prevention (CE-AP) Program. J Eur Acad Dermatol Venereol. 1999;13:166174.[ISI][Medline]
54. Wingood GM, DiClemente RJ. The effects of an abusive primary partner on the condom use and sexual negotiation practices of African-American women. Am J Public Health. 1997;87:10161018.
55. Connell R. Gender and Power. Stanford, Calif: Stanford University Press; 1987.
56. Sanders-Phillips K. Factors influencing HIV/AIDS in women of color. Public Health Rep. 2002;117(suppl 1):S151S156.[ISI][Medline]
57. Sterk CE. The Health Intervention Project: HIV risk reduction among African American women drug users. Public Health Rep. 2002;117(suppl 1):S88S95.[ISI][Medline]
58. Wechsberg WM. Facilitating empowerment for women substance abusers at risk for HIV. Pharmacol Biochem Behav. 1998;61:158.
59. Latkin CA, Forman VL, Knowlton A, Sherman S. Norms, social networks, and HIV-related risk behaviors among urban disadvantaged drug users. Soc Sci Med. 2003;56:465476.
60. Dixon DA, Antoni M, Peters M, Saul J. Employment, social support, and HIV sexual-risk behavior in Puerto Rican women. AIDS Behav. 2001;5:331342.
61. Cunningham-Williams RM, Cottler LB, Compton WM, et al. Reaching and enrolling drug users for HIV prevention: a multi-site analysis. Drug Alcohol Depend. 1999;54:110.[ISI][Medline]
62. Watters JK, Biernacki P. Targeted sampling: options for the study of hidden populations. Soc Probl. 1989;36:416430.[ISI]
63. Carlson RG, Wang J, Siegal HA, Falck RS, Guo J. An ethnographic approach to targeted sampling: problems and solutions in AIDS prevention research among injection drug and crack-cocaine users. Hum Organ. 1994;53:279286.
64. Wechsberg WM, Smith FJ, Harris-Adeeyo T. AIDS education and outreach to injecting drug users and the community in public housing. Psychol Addict Behav. 1992;6:107113.
65. Wechsberg WM, Inciardi JA, Leukefeld CG, Cottler LB, Hoffman J, Desmond D. HIV prevention protocols: adaptation to evolving trends in drug abuse. J Psychoactive Drugs. 1998;30:291298.
66. Griffith J, Logan S, Nucatola D, Joe GW. TCU/DATAR Forms: Description of Composite Variables. Fort Worth, TX: Texas Christian University: Institute of Behavioral Research; 1997.
67. Dennis M. Global Appraisal of Individual Needs (GAINS) Administration Manual. Bloomington, Ill: Chestnut Health Systems; 1998.
68. Dowling-Guyer S, Johnson ME, Fisher DG, et al. Reliability of drug users self-reported HIV risk behaviors and validity of self-reported recent drug use. Assessment. 1994;1:383392.
69. Needle R, Fisher D, Weatherby N, et al. The reliability of self-reported HIV risk behaviors of drug users. Psychol Addict Behav. 1995;9:242250.[ISI]
70. Weatherby NL, Needle R, Cesari H, Booth RE. Validity of self-reported drug use among injection drug users and crack cocaine users recruited through street outreach. Eval Program Plann. 1994;17:347355.
71. Wechsberg WM. Revised Risk Behavior Assessment, Part I and Part II. Research Triangle Park, NC: Research Triangle Institute; 1998.
72. Royse D, Leukefeld C, Logan TK, et al. Homelessness and gender in out-of-treatment drug users. Am J Drug Alcohol Abuse. 2000;26:283296.[ISI][Medline]
73. Wechsberg WM, Dennis ML, Stevens SJ. Cluster analysis of HIV intervention outcomes among substance-abusing women. Am J Drug Alcohol Abuse. 1998;24:239257.[ISI][Medline]
74. Anson O, Anson J. Womens health and labour force status: an enquiry using a multi-point measure of labour force participation. Soc Sci Med. 1987;25:5763.
75. Arber S. Class, paid employment and family roles: making sense of structural disadvantage, gender and health status. Soc Sci Med. 1991;32:425436.
76. Elliott BJ, Huppert FA. In sickness and in health: associations between physical and mental well-being, employment and parental status in a British nationwide sample of married women. Psychol Med. 1991;21:515524.[ISI][Medline]
77. Hibbard JH, Pope CR. Employment status, employment characteristics, and womens health. Women Health. 1985;10:5977.[ISI][Medline]
78. Reviere R, Eberstein IW. Work, marital status, and heart disease. Health Care Women Int. 1992;13:393399.[Medline]
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J. A. Inciardi, H. L. Surratt, S. S. Martin, D. J. O'Connell, A. D. Salandy, and R. A. Beard Developing a Multimedia HIV and Hepatitis Intervention for Drug-Involved Offenders Reentering the Community The Prison Journal, March 1, 2007; 87(1): 111 - 142. [Abstract] [PDF] |
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M. Staton-Tindall, C. Leukefeld, J. Palmer, C. Oser, A. Kaplan, J. Krietemeyer, C. Saum, and H. L. Surratt Relationships and HIV Risk Among Incarcerated Women The Prison Journal, March 1, 2007; 87(1): 143 - 165. [Abstract] [PDF] |
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C. M. Lyles, L. S. Kay, N. Crepaz, J. H. Herbst, W. F. Passin, A. S. Kim, S. M. Rama, S. Thadiparthi, J. B. DeLuca, M. M. Mullins, et al. Best-Evidence Interventions: Findings From a Systematic Review of HIV Behavioral Interventions for US Populations at High Risk, 2000-2004 Am J Public Health, January 1, 2007; 97(1): 133 - 143. [Abstract] [Full Text] [PDF] |
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R. J. Wolitski, and the Project START Writing Group, and for The Project START Study Group Relative Efficacy of a Multisession Sexual Risk-Reduction Intervention for Young Men Released From Prisons in 4 States Am J Public Health, October 1, 2006; 96(10): 1854 - 1861. [Abstract] [Full Text] [PDF] |
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