A review of HIV prevention among young injecting drug users: A guide for researchers
© Dolan and Niven; licensee BioMed Central Ltd. 2005
Received: 06 September 2004
Accepted: 17 March 2005
Published: 17 March 2005
Young people aged 15–24 years account for fifty percent of all new AIDS cases worldwide. Moreover, half of all new HIV infections are associated with injection drug use. The average age for initiation into injecting drug use is 20 years of age. This paper investigates whether HIV prevention programs have reduced risk behaviours in young people.
Young people are at the forefront of the HIV/AIDS epidemic as it continues to spread worldwide. An estimated 12 million people aged between 15 and 24 years are living with HIV or AIDS around the world. Of the five million new HIV infections in 2001, over half were among youth aged 15–24 . Six thousand young people become infected with HIV every day, and over half of all new HIV infections are related to injecting drug use . In some regions, such as Eastern Europe and Central Asia, nearly all reported HIV infections are linked to drug injection, the majority being young injectors. In some developing and transitional countries, injection drug use is spreading rapidly and the age of initiation of drug injecting is decreasing .
Adolescence is an age when critical health behaviours are established, including behaviours related to sex and drug use (Ball, 2000). Most of these behaviors can be predicted from the risk environment, with clusters of risk behaviour being common, such as alcohol abuse and unprotected sex, particularly among marginalised and vulnerable youth. There is some evidence that young injectors think and behave differently to older IDUs and are treated differently within their communities. Specifically, young IDUs have less knowledge about HIV/AIDS, have a lower perception of their risk of acquiring HIV through either drug injecting or sex, and are less likely to identify as being an IDU than older IDUs .
Moreover youth have a heightened risk of HIV infection as a result of many factors, including risky sexual behaviour, substance abuse (including injecting drug use), and lack of access to HIV information and prevention services. It is crucial that barriers to accessing services that youth face are recognized by youth health services, including programs to prevent HIV infection. Marginalized young people, including homeless youth and ethnic minorities, may be at an heightened risk due to factors such as stigma (which may prevent access to critical HIV/AIDS information and prevention programs), pressure to engage in unprotected sex in exchange for food, shelter or money and the use of illicit drugs. In an attempt to minimize the HIV epidemic, a range of HIV interventions have been developed . These interventions are designed to change behaviours of individuals who are at risk of acquiring or transmitting HIV infection.
Programs for young people offer the greatest potential for changing the course of the epidemic . However, research into HIV prevention in youth is an area that has seemingly been neglected, as most studies focus on adult populations. This remains the case despite global findings that injecting commences during adolescence . Researchers need to redress this neglect of youth if they are to produce evidence necessary to allow an effective global health response.
Comparison of programs for effectiveness will allow relative judgments to be made regarding effectiveness, and factors such as cost effectiveness can be taken into account to assist in the allocation of resources, particularly in resource-poor settings.
Calls for international standardisation have appeared in the literature since at least 1999 . According to Suishansian et al  the need for standardisation, collection, interpretation, and integration of program monitoring data with biological and behavioural surveillance data on HIV/AIDS associated with IDU is critical to informing and guiding appropriate prevention responses.
The aim of this paper is to review recent literature of HIV prevention programs for young injecting drug users (IDUs) in an attempt to establish whether this call for standardisation has been heeded by researchers and program managers alike. Recommendations for improvement in evaluations to allow comparisons is provided, to assist in informing policy and program managers in the development of evaluation designs.
This review of the literature involved assessing the effectiveness of HIV prevention programs for young, and new injecting drugs users. The review also included programs undertaken to prevent initiation of drug injecting and transition from non-injecting to injecting drug use.
Databases such as Medline, Psychinfo, Web of Science, Sociofiles, ERIC, Psychofiles and Aidsline were searched. International and local websites of drug addiction and prevention services or agencies and AIDS agencies and libraries were examined. A similar search strategy was also used to cover the grey literature. Unpublished literature, such as conference presentations and agency reports, was drawn from a number of different searches conducted on the worldwide web.
Nonetheless, in order to evaluate the efficacy of the HIV programs, only those that provided information regarding the effectiveness of the outcome were included. Not surprisingly, this somewhat restricted the number of studies to be included.
The comprehensive literature search found five HIV prevention programs for young IDUs that met the criteria as outlined above (see Additional file 1). More than fifty studies were considered and five met the criteria to be included in the study. The programs included were from Australia [7, 8] and the United States [9–11]. All five studies reported favourable HIV-related outcomes, although inspection of Table 1 reveals the following discrepancies between the studies:
All five studies aimed to reduce risk behaviours or decrease incidence of HIV and other BBVIs. Biological outcomes such as an objective measure of HIV/HCV sero-status were absent in these studies. The outcome measured of risk behaviour varied. One outcome measure was BBVI knowledge, which was measured by a questionnaire pre and post-intervention  as well as by evaluation feedback questionnaires . A second outcome measure was injecting risk practices, which was measure by self-report questionnaires [8–10]. Each study employed differing measures of injecting risk behaviours, such as using a new needle/syringe at last injection, the number of sharing partners and the frequency of needle/syringe sharing and other injecting equipment sharing. A third outcome measure used in two studies was sexual risk practices, measured by self-report questions. A fourth outcome used was following through with HIV-related health referrals, measured by using self-report questions.
Further outcome measures were used as indicators of a successful program rather than outcomes directly related to changes in risk behaviours. Firstly participants' satisfaction with the program was measured using focus groups [7, 11 evaluation sheets , in an open-ended interview [8, 11]] and a structured interview . Participants' perception of the program's impact was measured by focus groups and evaluation sheets  and structured and open-ended interviews . Lastly, service utilisation was measured. Participants' use of Harm Reduction Central's services such as the needle exchange service was used as an outcome measure by . Service utilisation could also be an indirect measure of reduced syringe sharing; if participants were using the needle exchange services to a greater extent then they were likely to be sharing needles to a lesser extent. Gleghorn et al.  included a measure of Outreach Worker contact to determine the effect of different levels of contact on injecting and sexual risk behaviours.
The target population varied in each of the HIV program studies. Firstly the definition of a young person varied, from under 26 years old to 12–23 years. However the most common definition of youth in the literature is between the ages of 15 and 24 years  although this definition was used in only one program study . Secondly the definition of an injecting drug user varies, from those at risk of commencing injecting to injecting more than once a week. Thirdly the typical target population varied, with some programs targeting specific cultural and socio-economic subsets of the young IDU population, resulting in difficulties in comparing the effectiveness between the studies, as certain studies may vary in effectiveness depending on the target population.
The sample sizes of the studies varied from 13 to 1,146 young IDUs. Sample size will impact on the statistical power of the study. Small sample sizes are unlikely to allow differences to be detected. Also, the assessment periods of the studies differed. Three studies were cross-sectional [9–11] whereas others were longitudinal [7, 8]. One cross-sectional study  conducted measures pre-intervention at the intervention site and at a comparison site. Measures were then conducted during the program (which was a continuous outreach program) at the program site and two other comparison sites. One cross-sectional study conducted measures during the program at the intervention site and a comparison site only, and another cross-sectional study conducted measures during the program but without a comparison group. The study conducted by Sheaves et al.  conducted measures pre and post-intervention and at one-month follow-up but was without a comparison group. The study conducted by Maher et al.  conducted assessment post-intervention and at 2-week follow-up, but was without baseline data and a comparison group.
The United Nations aims to reduce HIV prevalence among 15–24 year olds by a quarter in the most affected countries by 2005 and globally by 2010 . For this to be possible, youth require easy access to a wide range of effective HIV prevention programs. They require information and skills to help them adapt and maintain behaviours that are protective against HIV infection.
The studies presented in Table 1 employed disparate methodologies, making a comparison of relative effectiveness impossible. According to the authors, all studies had some positive benefit for reducing HIV-related outcomes in the sample, whether it be increasing participant knowledge of HIV or other BBVIs or reducing needle and syringe sharing. However, they all differed in outcomes measured, instruments used, target population and study design. Due to differences in the programs' nature and length and other practical constraints such as budgetary factors, it is unrealistic to expect a good level of consistency. Nonetheless, it is not unrealistic to expect better consistency than that presented in Table 1 (see additional file 1). As outlined in the Introduction, standardisation is now recognized as crucial and is in urgent need of implementation. The need for standardisation still needs to be emphasised, as standardized program findings are critical to informing and guiding appropriate prevention responses . Moreover, the push for standardized indicators which can be compared across countries is necessary in order to determine which programs are effective in particular settings. Furthermore it should be noted that all the studies in Table 1 have come from research based in the US or Australia. It is unclear whether the results from these countries can be applied to other countries.
The studies presented in Table 1 only measured behavioural outcomes and did not contain biological data. Biological data (HIV seroincidence for example, conducted by ) are an objective way of determining the effects of a prevention program. However, conducting a large-scale study with HIV serology, large enough to detect a noticeable effect between the intervention and control group would be costly and may not be feasible. Other objective data that could be used as outcome measures are service utilization measures such as those used by Weiker et al. . It could be inferred, for example, that an increase in syringe distribution at a Needle and Syringe Program may be an indicator of a reduction in needle sharing or a reduction in the time syringes remain in circulation. As self-report data have the problems of recall bias and social desirability, combining these data with biological and/or service utilization data would improve the evidence of the effectiveness of a prevention program.
The studies presented in Table 1 additionally lack cost-benefit data, crucial information to aid policy makers and program managers in allocating resources, particularly in resource poor settings. Random sampling was not conducted in any of the studies, thus biases in the results may exist. Although random sampling of individuals in one location for example may not be feasible, random allocation of the intervention to certain clinics may be one solution. Two studies did conduct assessments at an intervention site as well as one or more comparison sites, although these studies did not measure the same participants pre and post intervention, and so were unable to determine the effect of the prevention program on HIV-related outcomes. These short comings resulted in less conclusive data. However the desire to obtain accurate information and the costs and practical issues in collecting such information need to strike a balance and although the ideal should be strived for, it is not always possible. Another reason for the lack of research on youth has been the restrictions imposed by many ethics committees on researchers accessing young people.
To succeed they should respect and involve young people, while being sensitive to their cultures.
Young people need a safe and supportive environment, with sensitive attitudes, policies and legislation at family, community and national levels.
The stigma and discrimination associated with HIV/AIDS needs to be diffused.
Strong and effective education systems are important, yet in many countries education systems are clearly in disarray.
Outreach and peer education programs among young drug users should be expanded, and include steps to improve access to information and prevention equipment such as condoms and needles and syringes and HIV/AIDS care services.
Randomise (at clinic level or individual level)
Collect baseline, post-intervention and follow-up data on the same clients
Use control or comparison group
Collect behavioural and biological data
Use standardized instruments to measure HIV outcomes.
Collaborators involved in the review were Susan Kippax, Erica Southgate, Lucas Wiessing, Sylvia Inchaurraga, Nancy Haley, Justeen Hyde, Mary-Jane Rotheram-Borus, Moruf Adelakan, and Suresh Kumar. Julia-Lee Lowe and Lisa Bernstein assisted in the editing of this article.
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