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At-Risk Alcohol Use Among HIV-Positive Patients and the Completion of Patient-Reported Outcomes

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Abstract

Heavy drinking is prevalent among people living with HIV. Studies use tools like patient-reported outcomes (PROs) to quantify alcohol use in a detailed, timely manner. However, if alcohol misuse influences PRO completion, selection bias may result. Our study included 14,145 adult HIV patients (133,036 visits) from CNICS who were eligible to complete PROs at an HIV primary care visit. We compared PRO completion proportions between patients with and without a clinical diagnosis of at-risk alcohol use in the prior year. We accounted for confounding by baseline and visit-specific covariates. PROs were completed at 20.8% of assessed visits. The adjusted difference in PRO completion proportions was −3.2% (95% CI −5.6 to −0.8%). The small association between receipt of an at-risk alcohol use diagnosis and decreased PRO completion suggests there could be modest selection bias in studies using the PRO alcohol measure.

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References

  1. Dingle GA, Oei TP. Is alcohol a cofactor of HIV and AIDS? Evidence from immunological and behavioral studies. Psychol Bull. 1997;122(1):56–71.

    Article  CAS  PubMed  Google Scholar 

  2. Galvan FH, Bing EG, Fleishman JA, London AS, Caetano R, Burnam MA, et al. The prevalence of alcohol consumption and heavy drinking among people with HIV in the United States: results from the HIV Cost and Services Utilization Study. J Stud Alcohol. 2002;63(2):179–86.

    Article  PubMed  Google Scholar 

  3. Molina PE, Bagby GJ, Nelson S. Biomedical consequences of alcohol use disorders in the HIV-infected host. Curr HIV Res. 2014;12(4):265–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Shuper PA, Neuman M, Kanteres F, Baliunas D, Joharchi N, Rehm J. Causal considerations on alcohol and HIV/AIDS–a systematic review. Alcohol Alcohol. 2010;45(2):159–66.

    Article  PubMed  Google Scholar 

  5. Braithwaite RS, Conigliaro J, Roberts MS, Shechter S, Schaefer A, McGinnis K, et al. Estimating the impact of alcohol consumption on survival for HIV+ individuals. AIDS Care. 2007;19(4):459–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kozak MS, Mugavero MJ, Ye J, Aban I, Lawrence ST, Nevin CR, et al. Patient reported outcomes in routine care: advancing data capture for HIV cohort research. Clin Infect Dis. 2012;54(1):141–7.

    Article  PubMed  Google Scholar 

  7. Crane HM, Lober W, Webster E, Harrington RD, Crane PK, Davis TE, et al. Routine collection of patient-reported outcomes in an HIV clinic setting: the first 100 patients. Curr HIV Res. 2007;5(1):109–18.

    Article  CAS  PubMed  Google Scholar 

  8. Lawrence ST, Willig JH, Crane HM, Ye J, Aban I, Lober W, et al. Routine, self-administered, touch-screen, computer-based suicidal ideation assessment linked to automated response team notification in an HIV primary care setting. Clin Infect Dis. 2010;50(8):1165–73.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kissinger P, Rice J, Farley T, Trim S, Jewitt K, Margavio V, et al. Application of computer-assisted interviews to sexual behavior research. Am J Epidemiol. 1999;149(10):950–4.

    Article  CAS  PubMed  Google Scholar 

  10. Kitahata MM, Rodriguez B, Haubrich R, Boswell S, Mathews WC, Lederman MM, et al. Cohort profile: the centers for AIDS Research Network of Integrated Clinical Systems. Int J Epidemiol. 2008;37(5):948–55.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Edwards JK, Cole SR, Westreich D, Crane H, Eron JJ, Mathews WC, et al. Multiple imputation to account for measurement error in marginal structural models. Epidemiology. 2015;26(5):645–52.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Westreich D. Berkson’s bias, selection bias, and missing data. Epidemiology. 2012;23(1):159–64.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15(5):615–25.

    Article  PubMed  Google Scholar 

  14. Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med. 1998;158(16):1789–95.

    Article  CAS  PubMed  Google Scholar 

  15. Bradley KA, Bush KR, Epler AJ, Dobie DJ, Davis TM, Sporleder JL, et al. Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population. Arch Intern Med. 2003;163(7):821–9.

    Article  PubMed  Google Scholar 

  16. Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–60.

    Article  CAS  PubMed  Google Scholar 

  17. Howe CJ, Cole SR, Westreich DJ, Greenland S, Napravnik S, Eron JJ Jr. Splines for trend analysis and continuous confounder control. Epidemiology. 2011;22(6):874–5.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Bush B, Shaw S, Cleary P, Delbanco TL, Aronson MD. Screening for alcohol abuse using the CAGE questionnaire. Am J Med. 1987;82(2):231–5.

    Article  CAS  PubMed  Google Scholar 

  19. Moore RD, Bone LR, Geller G, Mamon JA, Stokes EJ, Levine DM. Prevalence, detection, and treatment of alcoholism in hospitalized patients. JAMA. 1989;261(3):403–7.

    Article  CAS  PubMed  Google Scholar 

  20. Chander G, Lau B, Moore RD. Hazardous alcohol use: a risk factor for non-adherence and lack of suppression in HIV infection. J Acquir Immune Defic Syndr. 2006;43(4):411–7.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II. Addiction. 1993;88(6):791–804.

    Article  CAS  PubMed  Google Scholar 

  22. Greenland S, Finkle WD. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol. 1995;142(12):1255–64.

    Article  CAS  PubMed  Google Scholar 

  23. Daniel RM, Kenward MG, Cousens SN, De Stavola BL. Using causal diagrams to guide analysis in missing data problems. Stat Methods Med Res. 2012;21(3):243–56.

    Article  PubMed  Google Scholar 

  24. Lesko CR, Cole SR, Hall HI, Westreich D, Miller WC, Eron JJ, et al. The effect of antiretroviral therapy on all-cause mortality, generalized to persons diagnosed with HIV in the USA, 2009–2011. Int J Epidemiol. 2016;45:140–50.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Monroe AK, Lau B, Mugavero MJ, Mathews WC, Mayer KH, Napravnik S, et al. Heavy Alcohol Use is Associated with Worse Retention in HIV Care. J Acquir Immune Defic Syndr. 2016;73:419–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Greenland S. Quantifying biases in causal models: classical confounding vs collider-stratification bias. Epidemiology. 2003;14(3):300–6.

    PubMed  Google Scholar 

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Acknowledgements

This project was supported by Grant Numbers T32ES007018, R01AI100654, R24AI067039 and P30AI50410 from the National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr. Stephen Cole and Dr. Jessie Edwards provided expert advice and consultation throughout the project process. The Center for AIDS Research Network of Integrated Clinical Systems supplied the data and information on the cohort and linked us to our CNICS collaborators, including Dr. Moore, Dr. O’Cleirigh, Dr. Christopoulos, and Dr. Mathews.

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Correspondence to Jacqueline E. Rudolph.

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All authors declare that they have no conflicts of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors. This study was reviewed by the Office of Human Research Ethics at the University of North Carolina at Chapel Hill and was determined to not constitute human subjects research as defined under federal regulations.

Appendix

Appendix

See Tables 6 and 7.

Table 6 Baseline characteristics of CNICS patients at first eligible visit and all eligible visits
Table 7 Visit-specific characteristics of CNICS patients at first eligible visit and all eligible visits

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Rudolph, J.E., Cole, S.R., Edwards, J.K. et al. At-Risk Alcohol Use Among HIV-Positive Patients and the Completion of Patient-Reported Outcomes. AIDS Behav 22, 1313–1322 (2018). https://doi.org/10.1007/s10461-017-1824-4

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