Abstract
Background
Alcohol use, and in particular, binge drinking, and methamphetamine use is pervasive among homeless youth and remains a social pressure among this vulnerable population. However, there is no compelling evidence that specific interventions for reducing drug and alcohol use are effective for homeless youth.
Objectives
This community-based participatory action pilot study assessed the impact of an intervention study focused on decreasing use of drugs and alcohol among a sample of homeless young adults (N=154) visiting a drop-in site in Santa Monica, California. The two programs consisted of a HIV/AIDS and Hepatitis Health Promotion (HHP) program led by nurses and an Art Messaging (AM) program led by artists. Six-month follow-up data were obtained from 100 of these individuals.
Results
Findings revealed significant reductions in alcohol and marijuana use and binge drinking in both the HHP and AM programs. However, homeless youth in the HHP program reported additional reductions in methamphetamine, cocaine and hallucinogen use at six-month follow-up.
Conclusions
Reductions in drugs and alcohol are important as these substances are linked to HIV/AIDS, hepatitis and other health risks in homeless youth.
Scientific Significance
The successful outcomes of the study intervention validate the utility of nurse-led and artistic health promotion strategies to decrease drug and alcohol use and other risky behaviors in homeless youth populations.
Keywords: Homeless Youth, Nursing, Substance use, Los Angeles
Introduction
It is estimated that at least 1.2 million adolescents are homeless each year within the United States (U.S).1,2 Compared to their non-homeless counterparts, homeless youth use substances earlier and with greater frequency.3–7 Among homeless youth in Los Angeles, recent (prior 3 months) high prevalence drug use included marijuana (68%) and amphetamines (36%).8 High rates of injection drug use ranging from 17% to 41% have also been reported.8–10 Furthermore, poly-drug use is also common among homeless youth in Los Angeles; over a quarter of the homeless youth in one study reported use of six or more drugs in the previous 6 months.8 Alcohol use, and in particular, binge drinking, is pervasive among homeless youth and remains a social pressure among these vulnerable youth as is methamphetamine use. However, there is no compelling evidence that specific interventions for reducing drug and alcohol use are effective for homeless youth. The purpose of this study is to assess the impact of a two-group community participatory-action intervention study designed to decrease use of drugs and alcohol among homeless youth.
Influence of Drugs and Alcohol on Homeless Youth
Substance use in homeless youth has been associated with lower rates of condom use, a concomitant increase in risk of unwanted pregnancy, and infection with HIV/AIDS, hepatitis B virus (HBV), hepatitis C virus (HCV), and other sexually transmitted diseases (STDs).11–13 Homeless youth are also more likely to participate in delinquency, survival sex, and other activities when they are under the influence of drugs or alcohol.1,14,15 Homeless youth have reported justification to use drugs; such as to stay awake at night to avoid getting mugged, and to self-medicate to cope with the stress of life.16,17 However, once substance use is entrenched, drugs begin to dominate all aspects of homeless youths’ lives.18 In a study of homeless youth (N=168) in Colorado, the majority of whom were between 17 to 25 years of age, alcohol, marijuana and methamphetamine (69% vs 75% vs 18%) were reported over the last nine months.19
Impact of Intervention Programs Focused on Reducing Substance use of Homeless Youth
A range of interventions to reduce substances in homeless youth have been tested, with varying degrees of success. Altena et al.20 identified substance-use reduction interventions with homeless youth have included health promotion, peer mentoring, case management, 21 brief motivational interviewing,7,22,23 cognitive behavioral interventions,24,25 living skills/vocation training26 and supportive housing.27
Slesnick et al.21 evaluated the impact of a case management and individual therapy intervention at a drop in day center for homeless youth (N=172), 14 – 24 24 years of age. Participants were randomly assigned to a case manager and similarly had a community reinforcement approach (CRA) therapist. At 12 months, there were improvements in substance abuse, mental health, and percent days housed.21 Another study found that motivational interviewing (MI) was a successful intervention among drop in centers serving homeless youth (N=285) between 14 to 19 years of age.7 At one month follow up, homeless youth who received the MI intervention reported reduced illicit drug use other than marijuana when compared to the control.7
Effectiveness of Health Promotion and Art with Homeless Youth
Health promotion has also been shown to be effective with homeless youth in a street-based sexual health promotion intervention, revealing a significant improvement in HIV and STD knowledge pre- and post-intervention in 564 homeless youth in Texas.28 Another intervention which utilized group and individual-level peer mentoring with homeless youth, resulted in enhanced health behaviors, improved mental well-being, decreased loneliness, expanded social network, increased coping skills, enhanced self-efficacy, and diminished use of drugs and alcohol.29 However, despite the successes of these studies, drug use remains high among homeless youth. Art has likewise been useful as a medium for communication of risk reduction messages as well. Moreover, art has been shown to be an effective means to help young people deal with challenges, such as poverty, illegal drug use and discrimination.30 Studies show that health promotion interventions with homeless youth that incorporate artistic activities, such as art or storytelling, improved retention and satisfaction with the intervention and provide an important creative outlet.31
Methods
This randomized pilot study was conducted among a convenience sample of 154 young, homeless male and female drug users to assess the impact of a two-group intervention, an HIV/AIDS and Hepatitis Health Promotion (HHP) program led by nurses and an Art Messaging (AM) program led by artists. Both the programs, described in detail in a former paper,32 focused on decreasing use of drugs and alcohol and promoting hepatitis health by vaccinating young homeless drug users with the Twinrix Hepatitis HAV/HBV vaccine series. Six-month follow-up questionnaires were completed by 100 participants (65%) of the sample; a follow-up rate consistent with other researchers (59% to 70%) engaged with this challenging population.33–35 Institutional Review Board approval was obtained for the study and all study-related documents.
Participants and Setting
The sample was recruited from a drop-in agency in Santa Monica, California. Eligible participants included those who were: a) homeless, defined as having spent the previous night in a shelter, hotel, motel, car, or abandoned building; b) aged 15–25 years; and c) actively engaged in drug use for the last six months. Protocols were established by a community advisory board to establish fidelity of the programs.
Participants lost to follow-up were more likely to have been African-American or Hispanic and to have had no intimate partners (p < .05). Cocaine users at baseline were particularly more likely to have been lost to follow-up (58% vs 28% for non-cocaine users). No differences were found with respect to age, education, or use of other substances.
Nurse-Led HIV/AIDS and Health Promotion (HHP) Program
This program, led by a research nurse, provided three 45-minute group sessions which covered: a) HBV and HCV infections; HIV infection and its transmission, and prevention strategies; b) HAV/HBV vaccination; c) training in self-management and communications skills; d) overcoming barriers to completion of the vaccine series and reducing drug use behavior; and e) development of relationships, activities and social networks.
The format of the three session program was very interactive and was presented in a discussion format. The research nurse allowed the youth to share their experiences of how they could integrate the health promotion strategies in their lives and ask questions about the content presented.
Art Messaging (AM) Program
Two California Institute of the Arts (CalArt) faculty delivered the program over three to four sessions. Each session was approximately two-three hours long. One session was focused on hepatitis and the HAV/HBV vaccine. While the health focus on hepatitis was evident as the focus of the study, the youth were more empowered by the faculty to share their life stories through photography, drawing, and documentaries. The participants were encouraged to create messages with regards to health and drug-use in order to influence other drug-using youths. The program provided an important means of involving youth in a healthy relationship with a caring adult, while working in a specialized area the youth already appreciated (i.e., the arts).
The faculty engaged youth in a group setting using poetry, video capturing, art work and pictures to explore their thoughts and feelings about living life at present, concerns about drug and alcohol use, and goals for the future. The homeless young adult participants used photography and drawing to describe what they had gone through in life as a result of abusing drug.. These young adults also discussed the need to make right choices and having goals as well as what they could have done differently to be in a better position. The Art group facilitators also encouraged conversations about good health by raising questions about risky behaviors and ways to stay safe. Embedded in the sessions was a one-hour session informed the youth about the basic facts concerning HIV/ AIDS, hepatitis, and the HAV/HBV vaccine.
Procedure
A community-based participatory action approach was utilized to ensure cultural-appropriateness for the targeted sample. A community advisory board (CAB) comprised of homeless youth, faculty of California Institute of the Arts (CalArts), a staff representative of the drop-in site, the study investigators and trained research staff designed the intervention programs. To enhance recruitment, the CAB utilized focus groups of homeless youth to design flyers that announced the study. Youth who frequented the participating site were made aware of the study by means of these peer-designed artistic flyers that featured an artistic front followed by the standard Institutional Review Board (IRB) language on the back.
The research staff met with interested homeless youth who presented at the drop-in site to discuss the study and assist the youth in reading and understanding the informed consent. Following the first written informed consent, research staff administered a brief eligibility screener that inquired about demographic characteristics, drug use, homeless status, and eligibility for the HAV/HBV vaccination of the homeless youth. Eligible and interested persons then discussed the second consent form, and when fully understood, signed the informed consent to enroll in the study. Immediately thereafter, the baseline questionnaire was administered by the research staff. All participants were paid $10 for completion of the screener and baseline questionnaire and were subsequently randomized to one of the two programs.
Measures
Socio-demographic variables assessed age, race/ethnicity, gender, education, and homeless, social and health factors. Drug and alcohol use were measured by the Texas Christian University TCU Drug History Form36 at baseline and six-month follow-up. This questionnaire has been tested with drug-using homeless adults;37 it records the lifetime and current (within the last six months) use of drugs. This instrument has been validated with men and women with a history of drug addiction, prostitution, and homelessness and revealed two-week test-retest reliabilities in an acceptable range of .63 to .71.38 Respondents were also asked about their history of smoking cigarettes and binge drinking. Binge drinking was defined as consumption of five or more drinks in a day.
Source of Social Support was assessed if support came primarily from drug or alcohol users, non-substance users, equally from both, or an absence of social support.
Depressive Symptoms were measured with the 20-item Center for Epidemiologic Studies Depression Scale (CES-D Scale).39 For the general population, a score of 16 or higher suggests a need for psychiatric evaluation.39,40 Some authors suggest that for youth and young adults, scores of 12 for males and 22 for females suggest a similar need.41 However, we left depressive symptoms as continuous for this study since cut-off points for youth have not been established. In this study, the alpha coefficient for internal consistency for the CES-D was .91.
Emotional Well Being was measured by the 5-item Mental Health Index (MHI-5).42 The MHI-5 has well-demonstrated reliability and validity, and has been shown to detect significant psychological disorders.43 Our studies have revealed good reliabilities of .74 to .85.44 Alpha coefficient for the scale in this sample was .83.
Coping with Recent Stressful Events, adapted by Murphy et al.45 for young adults, consists of 37 items rated on a five-point Likert scale. Seven subscale scores are calculated: self destructive escape, passive problem solving, positive action, spiritual hope, depression/ withdrawal, social support and nondisclosure/problem avoidance. Internal consistency reliability coefficients ranged from .65 to .87 for young adults.
Data Analysis
Sample characteristics were described with frequencies and percents or means and standard deviations and continuous variables were checked for normality. Change over time in the dichotomous substance-use measures was assessed with McNemar’s test of symmetry; program differences in change were examined with log-linear analysis. Change in continuous outcome measures was assessed with paired t tests on differences between baseline and six-month values; the two programs were then contrasted using repeated-measures analysis of variance. Although no interactions between program and time were found, we repeated the change analyses within each program since power to detect interactions at the conventional level of .05 was poor in this pilot study. The resulting profiles of change in outcomes between baseline and six months for each program allowed us to descriptively compare the two programs.
As reduction in substance use is crucial for many homeless youth, more detailed analyses examining the relative effect of the two programs were conducted on binge drinking and methamphetamine use at six months. These two measures were selected due to their prevalence at baseline and their serious health consequences. First, participants in the two programs were assessed for comparability at baseline using chi-square and two-sample t tests. Then unadjusted associations of binge drinking and methamphetamine use at six months were examined with baseline measures of these substances and with socio-demographic, health and psychosocial measures at baseline using chi-square and two-sample t tests. Variables that were associated with these six-month outcomes at the .15 level were then used as predictors in multiple logistic regression analyses.
Particular attention was directed to correlates of the six-month substance use measures that also differed between the programs since they could confound any program effect; however, other correlates were also included in the analyses since it is important to identify subsets of homeless youth who are at relatively high risk for alcohol and methamphetamine use following interventions. An indicator for program was included in the two regression models; with the exception of the program indicator, variables were sequentially eliminated from the models if they were not significant at the .10 level. The final models were assessed for multicollinearity; goodness of fit was evaluated with the Hosmer-Lemeshow test.
Results
Sociodemographic Characteristics
As displayed in table 1, most participants were male (70%), the mean age was 21.2 years (SD: 2.4); More than half completed high school (59%) and Whites composed more than half the sample (58%). Lifetime sex partners of 10 or more was reported by almost half of the sample. Social support was obtained solely (36%) or partially (46%) from drug and alcohol users. No group differences were observed with depressive symptoms.
Table 1.
Characteristics | Total Sample | Health Promotion | Art Messaging | |||
---|---|---|---|---|---|---|
N | % | N | % | N | % | |
Age Groups: | ||||||
18–20 | 39 | 39.0 | 18 | 38.3 | 21 | 39.6 |
21–23 | 39 | 39.0 | 17 | 36.2 | 22 | 41.5 |
24–25 | 22 | 22.0 | 12 | 25.5 | 10 | 18.9 |
Male | 70 | 70.0 | 30 | 63.8 | 40 | 75.5 |
Race/Ethnicity: | ||||||
African-American | 11 | 11.0 | 7 | 14.9 | 4 | 7.6 |
White | 58 | 58.0 | 25 | 53.2 | 33 | 62.3 |
Hispanic | 9 | 9.0 | 6 | 12.8 | 3 | 5.7 |
Mixed | 11 | 11.0 | 4 | 8.5 | 7 | 13.2 |
Other | 11 | 11.0 | 5 | 10.6 | 6 | 11.3 |
High School/GED | 59 | 59.0 | 26 | 55.3 | 33 | 62.3 |
Sexual Intimate Partner | 48 | 48.0 | 22 | 46.8 | 26 | 49.1 |
Chronically Homelessa | 51 | 51.0 | 26 | 55.3 | 25 | 47.2 |
Physical Health: | ||||||
Excellent/Very Good | 48 | 48.0 | 21 | 44.7 | 27 | 50.9 |
Good | 33 | 33.0 | 19 | 40.4 | 14 | 26.4 |
Fair/Poor | 19 | 19.0 | 7 | 14.9 | 12 | 22.6 |
Recent Unprotected Sex | 13 | 13.0 | 7 | 14.9 | 6 | 11.3 |
Injection Drug Use Ever | 28 | 28.0 | 12 | 25.5 | 16 | 30.2 |
MSMb | 10 | 10.0 | 5 | 10.6 | 5 | 9.4 |
Foster Care History | 29 | 29.0 | 13 | 27.7 | 16 | 30.2 |
In Jail as Adult | 60 | 60.6 | 28 | 60.9 | 32 | 60.4 |
Primary Support: | ||||||
Drug/Alcohol Users | 36 | 36.0 | 13 | 27.7 | 23 | 43.4 |
Non-Users | 9 | 9.0 | 7 | 14.9 | 2 | 3.8 |
Both Equally | 46 | 46.0 | 23 | 48.9 | 23 | 43.4 |
No Help | 9 | 9.0 | 4 | 8.5 | 5 | 9.4 |
Current Smoker | 82 | 82.0 | 41 | 87.2 | 41 | 77.4 |
Five or More Recentc Partners | 13 | 13.0 | 5 | 10.6 | 8 | 15.1 |
Ten or more Lifetime Partners | 48 | 48.0 | 19 | 40.4 | 29 | 54.7 |
Ever Traded Sex for Money | 14 | 14.1 | 8 | 17.0 | 6 | 11.5 |
Homeless for a year or more
Men having sex with men
Past 6 months
Unadjusted Associations
In unadjusted analyses, binge drinking at six months was related to poorer physical health, being an injection drug user (IDU), not having traded sex for money and recent unprotected sexual behavior (Table 2). In contrast, methamphetamine use at six months was related to smoking, having been jailed as an adult, having had at least 10 lifetime sex partners and at least five recent sex partners, methamphetamine use at baseline and escape coping. Both outcomes were associated with IDU and binge drinking at baseline. Depressive symptoms were not associated to either outcome in the bivariate analyses.
Table 2.
Baseline Measure | Binge Drinking | Methamphetamine Use | ||
---|---|---|---|---|
Yes | No | Yes | No | |
n = 26 | n = 74 | n = 25 | n = 75 | |
Age (Mean, SD) | 21.6(2.3) | 21.1(2.4) | 21.4(1.9) | 21.1(2.5) |
% | % | % | % | |
Male | 73.1 | 69.9 | 80.0 | 66.7 |
White | 42.3 | 63.0 | 52.0 | 59.5 |
High School/GED | 65.4 | 57.5 | 60.0 | 58.7 |
Foster Care History | 34.6 | 27.4 | 36.0 | 27.0 |
Current Smoker | 80.8 | 83.6 | 96.0 | 77.3* |
IDU Ever | 46.2 | 21.9* | 48.0 | 21.3* |
Jailed as Adult | 64.0 | 59.5 | 84.0 | 53.4** |
Excellent/Very Good Health | 30.8 | 54.8* | 32.0 | 54.1 |
Recent Unprotected Sex | 32.1 | 8.2* | 8.0 | 14.7 |
At Least 10 Lifetime Partners | 53.9 | 46.6 | 72.0 | 40.5** |
At least 5 Recent Partners | 11.5 | 13.7 | 32.0 | 6.8** |
Ever Traded Sex for Money | 16.0 | 19.2* | 20.0 | 12.3 |
Binge Drinking | 88.5 | 52.1** | 88.0 | 52.0** |
Methamphetamine Use | 30.8 | 37.0 | 60.0 | 27.0** |
Support from Drug Users | 50.0 | 31.5 | 52.0 | 31.1 |
AM Program | 65.4 | 49.3 | 60.0 | 51.4 |
Mean (SD) | ||||
Emotional Well-Being | 55.5 (27.4) | 64.3(20.2)* | 58.0(23.4) | 63.5 (22.3) |
Depressive Symptoms | 21.6 (14.1) | 17.9 (12.2) | 20.3 (13.5) | 18.4 (12.5) |
Escape Coping | 3.4 (1.0) | 3.2 (1.1) | 3.7 (1.0) | 3.1(1.0)** |
Harm Self | 1.7 (1.0) | 1.5 (0.8) | 1.7 (0.9) | 1.5 (0.8) |
Spiritual Hope | 2.6 (1.6) | 3.0 (1.6) | 2.4 (1.4) | 3.1 (1.7) |
Harm Self | 1.7 (1.0) | 1.5 (0.8) | 1.7 (0.9) | 1.5 (0.8) |
Went to Support Group | 1.8 (1.2) | 1.9 (1.1) | 1.8 (1.2) | 1.9 (1.1) |
p<.05, chi-square, Fisher’s Exact or t test
p<.01. chi-square, Fisher’s Exact or t test
Multivariate Analysis
When covariates were controlled with logistic regression analysis, binge drinking at six months was primarily associated with binge drinking at baseline (Table 3). However, IDU and lower emotional well-being scores were also associated with binge drinking at follow-up. Binge drinking at baseline was also associated with methamphetamine use at six months. Other significant correlates were methamphetamine use at baseline and having at least five recent sex partners.
Table 3.
Measure | Binge Drinking (n = 100) | Methamphetamine Use (n = 99) | ||||
---|---|---|---|---|---|---|
Adj OR | 95% CI | p | Adj OR | 95% CI | p | |
Art Program | 2.89 | 0.91, 9.11 | .075 | 1.95 | 0.62, 6.13 | .253 |
White Ethnicity | 0.34 | 0.10, 1.17 | .087 | - | - | - |
Ever in Jail | - | - | - | 3.33 | 0.88, 12.58 | .076 |
Methamphetamine Use, Baseline | - | - | - | 3.15 | 1.02, 9.67 | .046 |
Binge Drinking, Baseline | 13.34 | 2.70, 65.87 | .002 | 5.63 | 1.31, 24.14 | .020 |
Injection Drug Use, Ever | 3.83 | 1.15, 12.68 | .028 | - | - | - |
At least 5 Recent Sex Partners | 0.23 | 0.04, 1.26 | .090 | 4.81 | 1.18, 19.63 | .029 |
Recent Unprotected sex | 4.44 | 0.79, 26.65 | .094 | - | - | - |
Emotional Well-Being | 0.97 | 0.95, 0.996 | .025 | - | - | - |
Spiritual Hope | 0.70 | 0.47, 1.03 | .06 |
Impact of the Two Programs on Drug Use
While there were no significant differences in reduction of drug and alcohol use between the HHP program and the AM Program, significant reductions were noted in use of alcohol and binge drinking in both programs. Alcohol use decreased from 78% to 59% for the HHP program and from 91% to 68% for the AM program. Binge drinking also decreased dramatically in both programs. Marijuana use also declined in both the HHP (88% to 73%) and AM (96% to 77%) programs. Additional decreases in drug use were found in the HHP program only for cocaine use (17% to 2%), methamphetamine use (42% to 24%), and use of hallucinogens (27% to 7%). (Table 4).
Table 4.
HHP Group (N=41) | ||||
---|---|---|---|---|
Baseline Use | Six Month Use | |||
Substance: | N | % | N | % |
Alcohol | 32 | 78.1 | 24 | 58.5* |
Crack | 3 | 7.3 | 3 | 7.3 |
Marijuana | 36 | 87.8 | 30 | 73.2+ |
Cocaine | 7 | 17.1 | 1 | 2.4* |
Methamphetamine | 17 | 41.5 | 10 | 24.4* |
Hallucinogens | 11 | 26.8 | 3 | 7.3* |
Heroin | 5 | 12.2 | 4 | 9.8 |
Sedatives | 3 | 7.3 | 0 | 0 |
Binge Drinking | 25 | 61.0 | 9 | 22.0*** |
AM Group (N=44) | ||||
Alcohol | 40 | 90.9 | 30 | 68.2* |
Crack | 5 | 11.4 | 2 | 4.6 |
Marijuana | 42 | 95.5 | 34 | 77.3** |
Cocaine | 9 | 20.5 | 6 | 13.6 |
Methamphetamine | 16 | 36.4 | 11 | 25.0 |
Hallucinogens | 12 | 27.3 | 9 | 20.5 |
Heroin | 5 | 11.4 | 4 | 9.1 |
Sedatives | 1 | 2.3 | 0 | 0 |
Binge Drinking | 23 | 52.3 | 13 | 26.9** |
p < .05, McNemar’s test of symmetry
p < .01, McNemar’s test of symmetry
p < .001, McNemar’s test of symmetry
p < .10, Mc Nemar’s test of symmetry
Discussion
This study found that both the nurse-led HHP and the AM interventions were effective in decreasing alcohol consumption, binge drinking and use of marijuana at the six-month follow-up. However, homeless youth in the nurse-led HHP program reported additional reductions in methamphetamine, cocaine and hallucinogen use at six- month follow-up. We believe the nurseled HHP sessions may have been more effective than the AM sessions because they focused on HBV/HCV and HIV infection and its transmission, as well as, prevention strategies. In addition, the program focused on HAV/HBV vaccination completion, self-management, communications skills and overcoming barriers to completion of the vaccine series. Other important components were reducing drug use, and the development of relationships, activities and social networks. One of the main strengths of the program we believe was that the research nurse allowed the young adults to share their experiences of how they could integrate the health promotion strategies in their lives and ask questions about the content presented.
The fact that the AM group did not perform as well as the HHP group in reducing use of serious drugs like methamphetamine and cocaine is surprising as previous studies reported that homeless young adults believed that a healthcare intervention delivered through a creative art messaging approach would appeal to their peers and possibly increase their participation.5 While there was a great deal of sharing experiences, further investigation needs to be conducted to qualitatively assess the effectiveness of the art program in terms of reducing drug use.
These findings are very promising as reducing alcohol and drug abuse in any population is very difficult. It is even more challenging among homeless youth who use drugs as a coping mechanism.16,46 However, decreasing substance use is essential as homeless youth who engage in drug and/or alcohol use have a higher incidence of sexual risk-taking behaviors.47
Nevertheless, adolescence is a challenging developmental stage for many youth and without basic resources and support systems, youth face significant challenges. The youth in our sample experienced a multitude of life crises. More than a quarter of the study population had a history of being placed in foster care and more than 40% reported less than a 12th grade education. Further, more than one-third reported that their current social-support network consisted of individuals who themselves were using drugs and/or alcohol. This is consistent with previous studies,48,49 thus enhancing the encouraging findings that both the HHP and the AM strategies were able to assist the youth in viewing the dangers of alcohol and drug use. The youth in our study reported using numerous illegal drugs and abused alcohol. The positive outcome of the AM intervention in reducing alcohol and binge drinking, especially among homeless youth, speaks strongly of the fact that art messages may capture the attention of a homeless youth in a way that previous methods may not have as it may provide a stage for individuality and an avenue of self-expression regarding multiple social stressors affecting homeless youth. In fact, delivery of an intervention using Art was seen as an effective means to communicate feelings and learning with peers.31 Nevertheless, behavior change in terms of drug use did not occur as strongly as it did with the nurse-led HHP program. As homeless youth are at high risk of acquiring HIV/AIDS and hepatitis secondary to their high prevalence of poly-substance use and high-risk sexual behaviors,36,50–53 more ongoing work is needed, from the homeless youth perspective, to strongly promote youth-sensitive programs that successfully recruit and retain these high risk youth.
Limitations and Recommendations
Although within the norm for similar populations and methodology,33,35 the follow-up sample size was small (N=100, 65%). Furthermore, there was no control group included in this study and thus alternative explanations for the effects observed cannot be ruled out. In addition, the youth were a convenience sample taken from one drop-in site in one geographical location. In addition, sampling bias may have occurred as it may be that persons who agreed to be in the study actually wanted to decrease their substance use and it is not possible to separate such desire from the effects of the programs. Data were also based on participants’ self-report.
Conclusion
Homeless youth report high levels of drug and alcohol use, which places them at high risk for poor health. It is interesting that both the nurse-led HHP program and the AM program both produced significant reductions of alcohol and marijuana use and binge drinking, and furthermore, that the nurse-led program resulted in significant decreases in reported use of serious drugs such as cocaine, methamphetamine and hallucinogens. Future research is needed to continue building the nurse-led HHP program as it is effective in promoting harm reduction and health promotion in this vulnerable population.
Acknowledgments
Support for this research was provided by Grant DA023521 from the National Institute on Drug Abuse
References
- 1.Bantchevska D, Bartle-Haring S, Dashora P, Glebova T, Slesnick N. Problem behaviors of homeless young adults: A social capital perspective. Journal of Human Ecology. 2008;23:285–293. doi: 10.1080/09709274.2008.11906082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bucher C. Toward a needs-based typology of homeless young adults. Journal of Adolescent Health. 2008;42:549–554. doi: 10.1016/j.jadohealth.2007.11.150. [DOI] [PubMed] [Google Scholar]
- 3.Barczyk A, Thompson SJ. Alcohol/drug dependency in homeless young adults. Texas Research Society on Alcoholism. 18th Annual Meeting; Austin, Texas. February 29. 2008. [Google Scholar]
- 4.Meade MA, Slesnick N, Tonigan J. Relationship between service utilization and runaway young adults’ alcohol and other drug use. Alcohol Treatment Quarterly. 2001;19:19–29. doi: 10.1300/j020v19n03_02. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Nyamathi A, Hudson A, Mutere M, Christiani A, Sweat J, Nyamathi K, Broms T. Drug use and barriers to and facilitators of drug treatment for homeless young adults. Patient Preference Adherence. 2007;1:1–8. [PMC free article] [PubMed] [Google Scholar]
- 6.Park S, Kim HS, Kim H, Sung K. Exploration of the prevalence and correlates of substance-use among sheltered adolescents in South Korea. Adolescence. 2007;42:603. [PubMed] [Google Scholar]
- 7.Peterson PL, Baer JS, Wells EA, Ginzler JA, Garrett SB. Short-term effects of a brief motivational intervention to reduce alcohol and drug risk among homeless adolescents. Psychology of Addictive Behaviors. 2006;20:254–264. doi: 10.1037/0893-164X.20.3.254. [DOI] [PubMed] [Google Scholar]
- 8.Rosenthal D, Mallett S, Milburn N, Rotheram-Borus MJ. Drug use among homeless young people in Los Angeles and Melbourne. J Adolesc Health. 2008;43(3):296–305. doi: 10.1016/j.jadohealth.2008.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kerr T, Stoltz J, Marshall BD, Lai C, Strathdee SA, Wood E. Childhood trauma and injection drug use among high-risk youth. Journal of Adolescent Health. 2009;45:300–302. doi: 10.1016/j.jadohealth.2009.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Marshall BD, Kerr T, Qi J, Montaner JS, Wood E. Public injecting and HIV risk behaviour among street-involved youth. Drug & Alcohol Dependence. 2010;110:254–258. doi: 10.1016/j.drugalcdep.2010.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kuo I, Sherman SG, Thomas DL, Strathdee SA. Hepatitis B virus infection and vaccination among young injection and non-injection drug users: Missed opportunities to prevent infection. Drug Alcohol Dependence. 2004;73:69–78. doi: 10.1016/j.drugalcdep.2003.10.007. [DOI] [PubMed] [Google Scholar]
- 12.Miller CL, Strathdee SA, Kerr T, Li K, Wood E. Factors associated with early adolescent initiation into injection drug use: Implications for intervention programs. British Columbia Centre for Excellence in HIV/AIDS, St. Paul’s Hospital, Vancouver, British Columbia, Canada. Journal of Adolescent Health. 2006;38:462–464. doi: 10.1016/j.jadohealth.2005.03.004. [DOI] [PubMed] [Google Scholar]
- 13.Solorio MR, Rosenthal D, Milburn NG, Weiss RE, Batterham PJ, Gandara M, Rotheram-Borus MJ. Predictors of sexual risk behaviors among newly homeless youth: A longitudinal study. The Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine. 2008;42:401–409. doi: 10.1016/j.jadohealth.2007.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chettiar J, Shannon K, Wood E, Zhang R, Kerr T. Survival sex work involvement among street-involved youth who use drugs in a Canadian setting. Journal of Public Health (Oxford, England) 2010;32:322–327. doi: 10.1093/pubmed/fdp126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dashora P, Erdem G, Slesnick N. Better to bend than to break: coping strategies utilized by substance-abusing homeless youth. Journal of Health Psychology. 2011;16:158–168. doi: 10.1177/1359105310378385. [DOI] [PubMed] [Google Scholar]
- 16.Christiani A, Hudson H, Nyamathi A, Mutere M, Sweat J. Attitudes of homeless and drug-using young adults regarding barriers and facilitators in delivery of quality and culturally sensitive health care. Journal of Child & Adolescent Psychiatric Nursing. 2008;21:154–163. doi: 10.1111/j.1744-6171.2008.00139.x. [DOI] [PubMed] [Google Scholar]
- 17.Hudson A, Nyamathi A, Slagle A, Greengold B, Koniak-Griffin D, Khalilifard F, Getzoff D, Reid C. The power of the drug, nature of support, and their impact on homeless youth. Journal of Addictive Diseases. 2009;28:356–365. doi: 10.1080/10550880903183026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Whitbeck LB, Hoyt DR, Bao W. Depressive symptoms and co-occurring depressive symptoms, substance abuse, and conduct problems among runaway and homeless adolescents. Child Development. 2001;71:721–732. doi: 10.1111/1467-8624.00181. [DOI] [PubMed] [Google Scholar]
- 19.Van Leeuwen JM, Hopfer C, Hooks S, White R, Petersen J, Pirkopf J. A snapshot of substance abuse among homeless and runaway youth in Denver, Colorado. Journal of Community Health. 2004;29:217–229. doi: 10.1023/b:johe.0000022028.50989.aa. [DOI] [PubMed] [Google Scholar]
- 20.Altena AM, Brilleslijper-Kater SN, Wolf JL. Effective interventions for homeless youth: A systematic review. American Journal of Preventive Medicine. 2010;38:637–645. doi: 10.1016/j.amepre.2010.02.017. [DOI] [PubMed] [Google Scholar]
- 21.Slesnick N, Kang MJ, Bonomi AE, Prestopnik JL. Six- and twelve-month outcomes among homeless youth accessing therapy and case management services through an urban drop-in center. Health Services Research. 2008;43(1 Pt 1):211–229. doi: 10.1111/j.1475-6773.2007.00755.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Baer JS, Garrett SB, Beadnell B, Wells EA, Peterson PL. Brief motivational intervention with homeless adolescents: Evaluating effects on substance-use and service utilization. Psychology of Addictive Behaviors. 2007;21:582–586. doi: 10.1037/0893-164X.21.4.582. [DOI] [PubMed] [Google Scholar]
- 23.Baer JS, Wells EA, Dunn CW, Rosengren DB, Hartzler B. The video assessment of simulated encounters-revised (VASE-R): Reliability and validity of a revised measure of motivational interviewing skills. Drug & Alcohol Dependence. 2008;97(1–2):130–138. doi: 10.1016/j.drugalcdep.2008.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hyun MS, Chung HI, Lee YJ. The effect of cognitive-behavioral group therapy on the self-esteem, depression, and self-efficacy of runaway adolescents in a shelter in South Korea. Applied Nursing Research. 2005;18:160–166. doi: 10.1016/j.apnr.2004.07.006. [DOI] [PubMed] [Google Scholar]
- 25.Slesnick N, Prestopnik JL, Meyers RJ, Glassman M. Treatment outcome for street-living, homeless youth. Addictive Behaviors. 2007;32:1237–1251. doi: 10.1016/j.addbeh.2006.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Ferguson KM, Xie B. Feasibility study of the social enterprise intervention with homeless youth. Research on Social Work Practice. 2008;18:5–19. [Google Scholar]
- 27.Kisely SR, Parker JK, Campbell LA, Karabanow J, Hughes JM, Gahagan J. Health impacts of supportive housing for homeless youth: A pilot study. Public Health. 2008;122:1089–1092. doi: 10.1016/j.puhe.2008.01.009. [DOI] [PubMed] [Google Scholar]
- 28.Rew L, Fouladi RT, Land L, Wong YJ. Outcomes of a brief sexual health intervention for homeless youth. Journal of Health Psychology. 2007;12:818–832. doi: 10.1177/1359105307080617. [DOI] [PubMed] [Google Scholar]
- 29.Stewart M, Reutter L, Letourneau N, Makwarimba E. A support intervention to promote health and coping among homeless youths. Can J Nurs Res. 2009;41(2):55–77. [PubMed] [Google Scholar]
- 30.Fliegel LS. “I love ballet”: Arts incentives for adolescent health and community development. Arts Incentives Program, United South End Settlements, Boston, USA. New Directions in Youth Development. 2005;106:49–60. 5. doi: 10.1002/yd.118. [DOI] [PubMed] [Google Scholar]
- 31.Ottaway N, King K, Erickson PG. Storying the street: Transition narratives of homeless youth. Medical Humanities. 2009;35(1):19–26. doi: 10.1136/jmh.2008.001362. [DOI] [PubMed] [Google Scholar]
- 32.Nyamathi A, Slagle A, Thomas A, Hudson A, Khalilifard F, Avila G, Orser J, Cuchilla M. Art messaging as a medium to engage homeless young adults. Progress in Community Health Partnerships. 2011;5.1:9–18. doi: 10.1353/cpr.2011.0012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Milburn NG, Rosenthal D, Rotheram-Borus MJ, Mallett S, Batterham P, Rice E, Solorio R. Newly homeless youth typically return home. Journal of Adolescent Health. 2007;40:574–576. doi: 10.1016/j.jadohealth.2006.12.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Milburn N, Liang LJ, Lee SJ, Rotheram-Borus MJ, Rosenthal D, Mallett S, Lightfoot M, Lester P. Who is doing well? A typology of newly homeless adolescents. Journal of Community Psychology. 2009;37:135–147. doi: 10.1002/jcop.20283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Pollio DE, Thompson SJ, North CS. Agency-based tracking of difficult-to-follow populations: Runaway and homeless youth programs in St. Louis, Missouri. Community Mental Health Journal. 2000;36:247–258. doi: 10.1023/a:1001905114143. [DOI] [PubMed] [Google Scholar]
- 36.Simpson D, Chatham L. TCU/DATAR forms manual. Ft. Worth, TX: Institute of Behavioral Research, Texas Christian University; 1995. [Google Scholar]
- 37.Nyamathi AM, Christiani A, Nahid P, Gregerson P, Leake B. A randomized controlled trial of two treatment programs for homeless adults with latent tuberculosis infection. International Journal of Tuberculosis Lung Disease. 2006;7:775–782. [PubMed] [Google Scholar]
- 38.Anglin MD, Danila B, Tyan T, Mantius K. Staying in touch: A fieldwork manual of tracking procedures for locating substance abusers for follow-up studies. Washington DC: National Evaluation Data and Technical Assistance Center (NEDTAC); 1996. [Google Scholar]
- 39.Radloff L. The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurements. 1977;1:385–401. [Google Scholar]
- 40.Weissman MM, Sholomskas D, Pottenger M, Prusoff BA, Locke BZ. Assessing depressive symptoms in five psychiatric populations: A validation study. American Journal of Epidemiology. 1977;106:203–214. doi: 10.1093/oxfordjournals.aje.a112455. [DOI] [PubMed] [Google Scholar]
- 41.Garrison CZ, Addy CL, Jackson KL, McKeown RE, Waller JL. The CES-D as a screen for depression and other psychiatric disorders in adolescents. J Am Acad Child Adolesc Psychiatry. 1991;30(4):636–641. doi: 10.1097/00004583-199107000-00017. [DOI] [PubMed] [Google Scholar]
- 42.Stewart AL, Hays RD, Ware JE., Jr The MOS short-form general health survey. Reliability and validity in a patient population. Medical Care. 1988;26:724–735. doi: 10.1097/00005650-198807000-00007. [DOI] [PubMed] [Google Scholar]
- 43.Berwick DM, Murphy JM, Goldman PA, Ware JE, Jr, Barsky AJ, Weinstein MC. Performance of a five-item mental health screening test. Medical Care. 1991;29:169–176. doi: 10.1097/00005650-199102000-00008. [DOI] [PubMed] [Google Scholar]
- 44.Nyamathi A, Leake B, Longshore D, Gelberg L. Reliability of homeless women’s reports: Concordance between hair assay and self-report of cocaine use. Nursing Research. 2001;50:165–171. doi: 10.1097/00006199-200105000-00007. [DOI] [PubMed] [Google Scholar]
- 45.Murphy DA, Rotheram-Borus MJ, Marelich WD. Factor structure of a coping scale across two samples. Journal of Applied Social Psychology. 2003;33:627–647. [Google Scholar]
- 46.Stein JA, Dixon EL, Nyamathi A. Effects of psychosocial and situational variables on substance abuse among homeless adults. Psychology of Addictive Behaviors. 2008;22:410–416. doi: 10.1037/0893-164X.22.3.410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kral A, Molnar B, Booth RE, Watters JK. Prevalence of sexual risk behavior and substance-use among runaway and homeless adolescents in San Francisco, Denver and New York City. International Journal of STDs AIDS. 1997;8:109–117. doi: 10.1258/0956462971919651. [DOI] [PubMed] [Google Scholar]
- 48.Tani CR, Chavez EL, Deffenbacher JL. Peer isolation and drug use among white non-hispanic and mexican american adolescents. Adolescence. 2001;36:127–139. [PubMed] [Google Scholar]
- 49.Wills TA, Resko JA, Ainette MG, Mendoza D. Role of parent support and peer support in adolescent substance use: A test of mediated effects. Psychol Addict Behav. 2004;18(2):122–134. doi: 10.1037/0893-164X.18.2.122. [DOI] [PubMed] [Google Scholar]
- 50.Centers for Disease Control and Prevention (CDC) Hepatitis B vaccination for injection drug users –Pierce County, Washington, 2000. MMWR. 2001;50:388–390. [PubMed] [Google Scholar]
- 51.Hudson A, Nyamathi A, Sweat J. Homeless young adults’ interpersonal perspectives of health care providers. Issues in Mental Health Nursing. 2008;29:1277–1289. doi: 10.1080/01612840802498235. [DOI] [PubMed] [Google Scholar]
- 52.Lifson AR, Halcon LL. Substance abuse and high-risk needle-related behaviors among homeless youth in Minneapolis: Implications for prevention. Seminary Pediatric Infectious Diseases. 2003;14:12–19. doi: 10.1093/jurban/78.4.690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Nyamathi A, Christiani A, Windokun F, Jones T, Strehlow A, Shoptaw S. Hepatitis C virus infection, substance-use and mental illness among homeless young adults: A review. AIDS. 2005;19:S34–40. doi: 10.1097/01.aids.0000192068.88195.27. [DOI] [PubMed] [Google Scholar]