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Clinician-Assessed Depression and HAART Adherence in HIV-Infected Individuals in Methadone Maintenance Treatment

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  • Published:
Annals of Behavioral Medicine

Abstract

Background

The impact of measurement methods on the relationship between depression and HIV treatment adherence has not been adequately examined.

Purpose

The purpose of this paper is to examine the relationship between clinician- and patient-rated depression and HIV medication adherence.

Methods

The participants were 91 HIV-infected individuals in methadone maintenance. Depression was assessed via clinician ratings (Clinical Global Impression Scale and Montgomery Asberg Depression Rating Scale) and self-report (Beck Depression Inventory-Short Form). Clinicians rated substance abuse using the Clinical Global Impression Scale and a structured interview. HIV medication adherence was measured over the following 2 weeks using electronic caps.

Results

Each unit increase in the Clinical Global Impression Scale was associated with 75% increased odds of nonadherence (OR = 1.75, p = 0.002, 95% CI = 1.23–2.48). Similarly, for each standard deviation Montgomery Asberg Depression Rating Scale increase, there was a 2.6-fold increased odds of nonadherence (OR = 2.60, p = 0.001, 95% CI = 1.45–4.67). Substance abuse and self-reported depression severity were not significantly related to adherence.

Conclusions

Clinician-rated depression severity was a strong predictor of nonadherence. Assessment methods may influence the relationship between depression and HIV nonadherence.

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References

  1. Crum NF, Riffenburgh RH, Wegner S, et al. Comparisons of causes of death and mortality rates among HIV infected persons: Analysis of the pre-, early, and late HAART (highly active antiretroviral therapy) eras. J Acq Immun Def Synd. 2006; 41(2): 194–200.

    Article  Google Scholar 

  2. Glass TR, De Geest S, Hirschel B, et al. Self-reported non-adherence to antiretroviral therapy repeatedly assessed by two questions predicts treatment failure in virologically suppressed patients. Antivir Ther. 2008; (13): 77–85.

  3. DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment - Meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000; 160(14): 2101–2107.

    Article  PubMed  CAS  Google Scholar 

  4. Bing EG, Burnam A, Longshore D, et al. Psychiatric disorders and drug use among human immunodeficiency virus-infected adults in the United States. Arch Gen Psychiat. 2001; 58(8): 721–728.

    Article  PubMed  CAS  Google Scholar 

  5. Tucker JS, Burnam MA, Sherbourne CD, Kuong F, Gifford AL. Substance use and mental health correlates of nonadherence to antiretroviral medications in a sample of patients with human immunodeficiency virus infection. Am J Med. 2003; 114(7): 573–580.

    Article  PubMed  Google Scholar 

  6. Wagner GJ. Predictors of antiretroviral adherence as measured by self-report, electronic monitoring, and medication diaries. AIDS Patient Care ST. 2002; 16(12): 599–608.

    Article  Google Scholar 

  7. Gibbie T, Hay M, Hutchison CW, Mijch A. Depression, social support and adherence to highly active antiretroviral therapy in people living with HIV/AIDS. Sexual Health. 2007; 4(4): 227–232.

    Article  PubMed  Google Scholar 

  8. Gonzalez JS, Penedo FJ, Antoni MH et al. Social support, positive states of mind, and HIV treatment adherence in men and women living with HIV/AIDS. Health Psychol. 2004; 23(4): 413–418.

    Article  PubMed  Google Scholar 

  9. O’Cleirigh C, Ironson G, Weiss A, Costa PT. Conscientiousness predicts disease progression (CD4 Number and Viral Load) in people living with HIV. Health Psychol. 2007; 26(4): 473–480.

    Article  PubMed  Google Scholar 

  10. Ammassari A, Antinori A, Aloisi MS, et al. Depressive symptoms, neurocognitive impairment, and adherence to highly active antiretroviral therapy among HIV-infected persons. Psychosomatics. 2004; 45(5): 394–402.

    Article  PubMed  Google Scholar 

  11. Arnsten JH, Li X, Mizuno Y, et al. Factors associated with antiretroviral therapy adherence and medication errors among HIV-infected injection drug users. J Acq Immun Def Synd. 2007; 46: S64–S71.

    Article  Google Scholar 

  12. Avants SK, Margolin A, Warburton LA, Hawkins KA. Predictors of nonadherence to HIV-related medication regimes during methadone stabilization. Am J Addiction. 2001; 10:69–78.

    Article  CAS  Google Scholar 

  13. Arnsten JH, Demas PA, Grant RW, et al. Impact of active drug use on antiretroviral therapy adherence and viral suppression in HIV+ drug users. J Gen Intern Med. 2002; 17(5): 377–381.

    PubMed  Google Scholar 

  14. Berg K, Demas P, Howard A, Schoenbaum E, Gourevitch M, Arnsten J. Gender differences in factors associated with adherence to antiretroviral therapy. J Gen Intern Med. 2004; 19(11): 1111–1117.

    Article  PubMed  Google Scholar 

  15. Beck AT. Cognitive therapy of depression. 1979; The Guilford Press: New York, NY.

    Google Scholar 

  16. Matt GE, Vázquez C, Campbell KW. Mood-congruent recall of affectively toned stimuli: A meta-analytic review. Clin Psychol Rev. 1992; 12(2): 227–255.

    Google Scholar 

  17. Hansen RA, Dusetzina SB, Song L, Gaynes BN, Tu W, Murray MD. Depression affects adherence measurement but not the effectiveness of an adherence intervention in heart failure patients. J Am Pharm Assoc. 2009, 49(6): 760–768.

    Article  Google Scholar 

  18. Sheehan DV, Lecrubier Y, Sheehan KH, et al. The Mini-International Neuropsychiatric Interview (MINI): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiat. 1998; 59(Suppl 20): 22–33.

    Google Scholar 

  19. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiat. 1979; 13(4): 382–389.

    Article  Google Scholar 

  20. Guy W. Clinical Global Impression. ECDEU Assessment Manual for Psychopharmacology. U.S. Department of Health, Education, and Welfare, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration, NIMH. 1976; 218–222.

  21. Beck AT, Rial WY, Rickels K. Short form of depression inventory: Cross-validation. Psychol Rep. 1974; 34(3):1184–1186.

    PubMed  CAS  Google Scholar 

  22. Reynolds WM, Gould JW. A psychometric investigation of the standard and short form Beck Depression Inventory. J Consult Clin Psych. 1981; 49(2): 306–307.

    Article  CAS  Google Scholar 

  23. McLellan AT, Luborsky L, Woody GE, O’Brien CP. An improved diagnostic evaluation instrument for substance abuse patients: The Addiction Severity Index. J Nerv Ment Dis. 1980; 168(1): 26–33.

    Article  PubMed  CAS  Google Scholar 

  24. The World Health Organization. The Management of Substance Abuse Page. http://www.who.int/substance_abuse/research_tools/addictionseverity/en/index.html. Accessibility verified December 4, 2010.

  25. Cohen J. A power primer. Psychol Bull. 1992; 112(1): 155–159.

    Article  PubMed  CAS  Google Scholar 

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Conflict of interest statement

The authors have no conflict of interest to disclose.

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Corresponding author

Correspondence to Jeffrey S. Gonzalez Ph.D..

Additional information

The funding for this project is from grant R-01DA018603 awarded to Dr. Steven Safren.

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Gonzalez, J.S., Psaros, C., Batchelder, A. et al. Clinician-Assessed Depression and HAART Adherence in HIV-Infected Individuals in Methadone Maintenance Treatment. ann. behav. med. 42, 120–126 (2011). https://doi.org/10.1007/s12160-011-9268-y

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