Clinicians and researchers interested in HIV interventions for prisoners lack an appropriate psychometric instrument to assess HIV risk behaviors. This study evaluated the readability and internal consistency of a questionnaire designed to assess such behaviors. The questionnaire was administered to 277 inmates. The Flesch Reading Ease score was 78.3 with a Flesch-Kincaid grade level of 3.7, suggesting limited comprehension difficulties. Internal consistency was evaluated by determining Cronbach’s alpha (Cα) for total items and for each subscale. Following factor analyses, 25 items converged into five subscales and combined they account for 72% of the variance. The overall Cα was .86 and the subscales Cα ranged from .82 to .98. Findings reveal that the questionnaire is internally consistent and suitable for use with prisoners with low literacy skills. The use of this instrument for intervention studies in prisons has the potential to reduce inmates’ HIV risk behaviors.
Bureau of Justice Statistics and RTI International. (2007). National Inmate Survey: Year 1 Questionnaire Specifications FINAL. Research Study. Retrieved April 6, 2008, from http://www.ojp.usdoj.gov/bjs/pub/pdf/nis_acasi_spec.pdf
3.
CarvellA.L., & HartG.J. (1990). Risk behaviors for HIV infection among drug users in prison. British Medical Journal, 300, 1383-1384.
4.
CastroK., ShanskyR., ScardinoV., NarkunajJ., CoeJ., & HammettT. (1991). HIV transmission in correctional facilities [abstract #MC3067]. In Program and abstracts of the VII International Conference on AIDS, Florence, Italy.
5.
Center for Postsecondary Research, Indiana University. (2005). National Survey of Student Engagement. Frequently asked questions about NSSE’s psychometric properties. Bloomington, IN: Author.
6.
CronbachL. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-333.
7.
HarrisonP.M., & BeckA.J. (2005). Prison and jail inmates at midyear in 2004. Washington, DC: U.S. Department of Justice, Bureau of Justice Statistics.
8.
HughesT., & WilsonD.J. (2004). Bureau of Justice Statistics: Reentry trends in the United States. Retrieved June, 2008, from www.ojp.usdoj.gov/bjs
9.
Illinois Department of Corrections. (2004). Statistical presentation 2003. Springfield, IL: Author.
10.
KantorE. (2003). HIV transmission and prevention in prisons. HIV In-Site knowledge base chapter. Retrieved September 23, 2005, from http://hivinsite.ucsf.edu
11.
KrebsC.P., & SimmonsM. (2002). Intraprison HIV transmission: An assessment of whether it occurs, how it occurs, and who is at risk. AIDS Education Preview, 14, 53-64.
12.
Lariviere, M.A.S., & RobinsonD. (1999). The prevalence and determinants of HIV risk behaviors and perceived threat of infections in Canadian federal penitentiaries: Results from a national survey of male inmates. Journal of Correctional Health Care, 6, 7-27.
13.
LaVigneN.G., MamalianC., TravisJ., & VisherC. (2003). A portrait of prisoner reentry in Illinois. Washington, DC: Justice Policy Center, Urban Institute.
14.
LohrK.N. (2002). Assessing health status and quality-of-life instruments: Attributes and review criteria. Quality of Life Research, 11, 193-205.
15.
LohrK.N., AaronsonN.K., AlonsoJ., BurnamM.A., PatrickD.L., PerrinE.B., et al. (1996). Evaluating quality-of-life and health status instruments: Development of scientific review criteria. Clinical Therapy, 18, 979-992.
16.
MahonN. (1996). New York inmates’ HIV risk behaviors: The implications for prevention policy and programs. American Journal of Public Health, 86, 1211-1215.
17.
MaruschakL. (2007). HIV in prisons, 2005. Bureau of Justice Statistics Bulletin NCJ 218915. Washington, DC: U.S. Department of Justice.
18.
NacciP., & KaneT. (1982). Sex and sexual aggression in federal prisons. Washington, DC: Federal Bureau of Prisons.
19.
PettM.A., LackeyN.R., & SullivanJ.J. (2003). Making sense of factor analysis. The use of factor analysis for instrument development in health care research. London: SAGE Publications.
20.
PostJ.J., DolanK.A., WhybinL.R., CarterI.W., HaberP.S., & LloydA.R. (2001). Acute hepatitis C virus infection in an Australian prison inmate: Tattooing as a possible transmission route. Medical Journal of Australia, 174, 183-184.
21.
SealD.W., BelcherL., MorrowK., EldridgeG., BinsonD., KacanekD., et al. (2004). A qualitative study of substance use and sexual behavior among 18- to 29-year-old men while incarcerated in the United States. Health Education and Behavior, 31, 775-789.
22.
SealD.W., MargolisA.D., MorrowK.M., BelcherL., & SosmanJ., AskewJ., & Project START Substudy Group. (2008). Substance use and sexual behavior during incarceration among 18- to 29-year old men: Prevalence and correlates. AIDS and Behavior, 12, 27-40.
23.
StreinerD.L., & NormanG.R. (1995). Health measurement scales: A practical guide to their development and use. New York: Oxford University Press.
24.
SwartzJ.A., LurigioA.J., & WeinerD.A. (2004). Correlates of HIV-risk behaviors among prison inmates: Implications for tailored AIDS prevention programming. Prison Journal, 84, 486-504.
25.
TurnbullP.J., DolanK.A., & StimsonG.V. (1992). Prison decreases the prevalence of behaviors but increases the risks [abstract #POC 4321]. In Program and abstracts of the VIII International Conference on AIDS, Amsterdam.
VescioM.F., LongoB., BabudieriS., StarniniG., CarbonaraS., RezzaG., et al. (2008). Correlates of hepatitis C seropositivity in prison inmates: A meta-analysis. Journal of Epidemiology and Community Health, 62, 305-313.
