Abstract
Illicit drug use in urban settings is a major public health problem. A range of individual level factors are known to influence drug use and its consequences, and a number of recent studies have suggested that the neighborhood in which an individual lives may also play a role. However, studies seeking to identify neighborhood-level determinants of drug use, particularly among marginalized urban populations, need to overcome significant challenges, particularly in the area of sampling and recruitment. One key issue is defining functional neighborhoods that are relevant to local residents. Another arises from the need to sample a representative or even a diverse population when studying marginalized groups such as illicit drug users. These are common problems that raise particular challenges when both need to be addressed in the same study. For example, many sampling approaches for neighborhood-level studies have included some form of random sample of households, but this may systematically overlook marginalized populations. On the other hand, the sampling approaches commonly used in studies of hidden populations such as chain referral, snow ball, and more recently, respondent-driven sampling, typically expand beyond a geographic “neighborhood.” We describe the organization and rationale for the IMPACT Studies in New York City as a case illustration on how such issues may be addressed.
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References
Hembree C, Galea S, Ahern J, et al. The urban built environment and overdose mortality in New York City neighborhoods. Health Place. 2005;11(2):147–156.
Galea S, Ahern J, Vlahov D, et al. Income distribution and risk of fatal drug overdose in New York City neighborhoods. Drug Alcohol Depend. 2003;70(2):139–148.
Cooper HL, Friedman SR, Tempalski B, Friedman R. Residential segregation and injection drug use prevalence among black adults in US metropolitan areas. Am J Public Health. 2007;97(2):344–352.
Diez Roux AV. Investigating neighborhood and area effects on health. Am J Public Health. 2001;91(11):1783–1789.
Krieger N, Waterman P, Chen JT, Soobader MJ, Subramanian SV, Carson R. Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas—the Public Health Disparities Geocoding Project. Am J Public Health. 2002;92(7):1100–1102.
Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project. Am J Epidemiol. 2002;156(5):471–482.
Friedman SR, Flom PL, Kottiri BJ, et al. Drug use patterns and infection with sexually transmissible agents among young adults in a high-risk neighbourhood in New York City. Addiction. 2003;98(2):159–169.
Inciardi JA, Surratt HL, Kurtz SP. HIV, HBV, and HCV infections among drug-involved, inner-city, street sex workers in Miami, Florida. AIDS Behav. 2006;10(2):139–147.
Davidson PJ, McLean RL, Kral AH, Gleghorn AA, Edlin BR, Moss AR. Fatal heroin-related overdose in San Francisco, 1997–2000: a case for targeted intervention. J Urban Health. 2003;80(2):261–273 June.
Galea S, Nandi A, Vlahov D. The social epidemiology of substance use. Epidemiol Rev. 2004;26:36–52.
Latkin CA, Curry AD, Hua W, Davey MA. Direct and indirect associations of neighborhood disorder with drug use and high-risk sexual partners. Am J Prev Med. 2007;32(6 Suppl):S234–S241.
Winstanley EL, Steinwachs DM, Ensminger ME, Latkin CA, Stitzer ML, Olsen Y. The association of self-reported neighborhood disorganization and social capital with adolescent alcohol and drug use, dependence, and access to treatment. Drug Alcohol Depend. 2008;92(1–3):173–182.
van de Goor LA, Garretsen HF, Kaplan C, Korf D, Spruit IP, de Zwart WM. Research methods for illegal drug use in hidden populations: summary report of a European invited expert meeting. J Psychoactive Drugs. 1994;26(1):33–40.
Watters JK, Biernacki P. Targeted sampling: options for the study of hidden populations. J Social Problems. 1989;36(4):416–430.
Heckathorn DD. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174–199.
Watters JK, Biernacki P. Targeted sampling: options for the study of hidden populations. J Soc Prob. 1989;36:416–430.
Weiss L, Ompad D, Galea S, Vlahov D. Defining neighborhood boundaries for urban health research. Am J Prev Med. 2007;32(6 Suppl):S154–S159.
Miller KW, Wilder LB, Stillman FA, Becker DM. The feasibility of a street-intercept survey method in an African-American community. Am J Public Health. 1997;87(4):655–658.
Robins LN, Cottler L, Bucholz K, Compton W. Diagnostic interview schedule for DSM-IVSt. Louis: Washington University; 1995.
Freedy JR, Kilpatrick DG, Resnick HS. Natural disasters and mental health: theory, assessment, and intervention. J Soc Behav Personal. 1993;8(5):49–103.
Acierno R, Kilpatrick DG, Resnick H, Saunders B, De Arellano M, Best C. Assault, PTSD, family substance use, and depression as risk factors for cigarette use in youth: findings from the National Survey of Adolescents. J Trauma Stress. 2000;13(3):381–396.
U.S. Census Bureau. U.S. Census 2000. U.S. Department of Commerce, Economic and Statistics Administration.
Bryant WK, Ompad DC, Sisco S, et al. Determinants of influenza vaccination in hard-to-reach urban populations. Prev Med. 2006;43(1):60–70.
Fuller CM, Ompad DC, Galea S, Wu Y, Koblin BA, Vlahov D. Hepatitis C incidence—a comparison between injection and non-injection drug users in New York City. J Urban Health. 2004;81(1):20–24.
Ompad DC, Galea S, Wu Y, et al. Acceptance and completion of hepatitis B vaccination among drug users in New York City. Commun Dis Public Health. 2004;7(4):294–300.
Ompad DC, Galea S, Fuller CM, Phelan D, Vlahov D. Club drug use among minority substance users in New York City. J Psychoact Drugs. 2004;36(3):397–399.
Glynn M, Rhodes P. Estimated HIV prevalence in the United States at the end of 2003. National HIV Prevention Conference, Atlanta, Georgia, Jun 12–15, 2005; Atlanta, Georgia.
Des Jarlais DC, Arasteh K, Perlis T, et al. Convergence of HIV seroprevalence among injecting and non-injecting drug users in New York City. AIDS. 2007;21(2):231–235.
Des Jarlais, Perlis T, Arasteh K, et al. Reductions in hepatitis C virus and HIV infections among injecting drug users in New York City, 1990–2001. AIDS. 2005;19(Suppl 3):S20–S25.
Tortu S, McMahon JM, Pouget ER, Hamid R. Sharing of noninjection drug-use implements as a risk factor for hepatitis C. Subst Use Misuse. 2004;39(2):211–224.
Kottiri BJ, Friedman SR, Euler GL, et al. A community-based study of hepatitis B infection and immunization among young adults in a high-drug-use neighborhood in New York City. J Urban Health. 2005;82(3):479–487.
McQuillan GM, Coleman PJ, Kruszon-Moran D, Moyer LA, Lambert SB, Margolis HS. Prevalence of hepatitis B virus infection in the United States: the National Health and Nutrition Examination Surveys, 1976 through 1994. Am J Public Health. 1999;89(1):14–18.
Armstrong GL, Wasley A, Simard EP, McQuillan GM, Kuhnert WL, Alter MJ. The prevalence of hepatitis C virus infection in the United States, 1999 through 2002. Ann Intern Med. 2006;144(10):705–714.
Acknowledgment
This study was partly funded by grants DA018061, DA017020, and MH068192 from the National Institute on Drug Abuse and the National Institute of Mental Health.
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Ompad, Galea, Fuller, Weiss, Beard, Chan, Edwards, and Vlahov are with the Center for Urban Epidemiologic Studies, New York Academy of Medicine, New York, NY, USA; Galea is with the Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Marshall is with the RAND Corporation, Santa Monica, CA, USA; Fuller and Vlahov are with the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
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Ompad, D.C., Galea, S., Marshall, G. et al. Sampling and Recruitment in Multilevel Studies among Marginalized Urban Populations: The IMPACT Studies. J Urban Health 85, 268–280 (2008). https://doi.org/10.1007/s11524-008-9256-0
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DOI: https://doi.org/10.1007/s11524-008-9256-0