Race-based medical mistrust, medication beliefs and HIV treatment adherence: test of a mediation model in people living with HIV/AIDS

Journal of Behavioral Medicine

Volumn 39, Issue 6, 2016, Pages 1056-1064

  Kalichman, Seth C ^a   Eaton, Lisa ^a   Kalichman, Moira O ^a   Grebler, Tama ^a   Merely, Cynthia ^a   Welles, Brandi ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

HIV AIDS; Medical mistrust; Medication adherence; Medication beliefs

Indexed keywords

DISEASE MODEL; ETHNIC GROUP; FEMALE; HEALTH CARE SYSTEM; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; MAJOR CLINICAL STUDY; MALE; MEDICATION COMPLIANCE; PILL; RACE; TELEPHONE INTERVIEW; ADULT; AFRICAN AMERICAN; ATTITUDE TO HEALTH; HISPANIC; HIV INFECTIONS; MIDDLE AGED; PSYCHOLOGY; TRUST;

ADULT; AFRICAN AMERICANS; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HISPANIC AMERICANS; HIV INFECTIONS; HUMANS; MALE; MEDICATION ADHERENCE; MIDDLE AGED; TRUST;

EID: 84978086972     PISSN: 01607715     EISSN: 15733521     Source Type: Journal    
DOI: 10.1007/s10865-016-9767-1     Document Type: Article

References (35)

1. Altice, F. L., Mostashari, F., & Friedland, G. H. (2001). Trust and the acceptance of and adherence to antiretroviral therapy. Journal of Acquired Immune Deficiency Syndromes, 28, 47–58.
2. Bangsberg, D., & Deeks, S. G. (2002). Is average adherence to HIV antiretroviral therapy enough? Jounal of General Internal Medicine, 17, 812–813.
3. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
4. Bogart, L. M., Wagner, G., Galvan, F. H., & Banks, D. (2010). Conspiracy beliefs about HIV are related to antiretroviral treatment nonadherence among african american men with HIV. Journal of Acquired Immune Deficiency Syndromes, 53, 648–655.
5. Carrieri, M. P., Villes, V., et al. (2007). Self-reported side-effects of anti-retroviral treatment among IDUs: A 7-year longitudinal study (APROCO-COPILOTE COHORT ANRS CO-8). International Journal of Drug Policy, 18, 288–295.
6. Casagrande, S. S., Gary, T. L., LaVeist, T. A., Gaskin, D. J., & Cooper, L. A. (2007). Perceived discrimination and adherence to medical care in a racially integrated community. Journal of General Internal Medicine, 22, 389–395.
7. Dale, S. K., Bogart, L. M., Wagner, G. J., Galvan, F. H., & Klein, D. J. (2014). Medical mistrust is related to lower longitudinal medication adherence among African-American males with HIV. Journal of Health Psychology, 21, 1311–1321.
8. Earl, T. R., Beach, M. C., Lombe, M., Korthuis, P. T., Sharp, V. L., Cohn, J. A., & Saha, S. (2013). Race, relationships and trust in providers among black patients with HIV/AIDS. Social Work Research, 37, 219–226.
9. Fredericksen, R., Feldman, B. J., Brown, T., Schmidt, S., Crane, P. K., Harrington, R. D., & Crane, H. M. (2014). Unannounced telephone-based pill counts: A valid and feasible method for monitoring adherence. AIDS and Behavior, 18, 2265–2273.
10. Gaston, G. B., & Alleyne-Green, B. (2013). The impact of African Americans’ beliefs about HIV medical care on treatment adherence: A systematic review and recommendations for interventions. AIDS and Behavior, 17, 31–40.
11. Gonzalez, J. S., Penedo, F. J., Llabre, M. M., Duran, R. E., Antoni, M. H., Schneiderman, N., & Horne, R. (2007). Physical symptoms, beliefs about medications, negative mood, and long-term HIV medication adherence. Annals of Behavioral Medicine, 34, 46–55.
12. Haberer, J. E., Robbins, G. K., Ybarra, M., Monk, A., Ragland, K., Weiser, S. D., & Bangsberg, D. R. (2011). Real-time electronic adherence monitoring is feasible, comparable to unannounced pill counts, and acceptable. AIDS and Behavior, 16, 375–382.
13. Horne, R. (1999). Patients’ beliefs about treatment: The hidden determinant of treatment outcome? Joural of Psychosomatic Research, 47, 491–495.
14. Horne, R., Chapman, S. C., Parham, R., Freemantle, N., Forbes, A., & Cooper, V. (2013). Understanding patients’ adherence-related beliefs about medicines prescribed for long-term conditions: A meta-analytic review of the necessity-concerns framework. PLoS One, 8, e80633. doi:10.1371/journal.pone.0080633
15. Horne, R., Cooper, V., Gellaitry, G., Date, H. L., & Fisher, M. (2007). Patients’ perceptions of highly active antiretroviral therapy in relation to treatment uptake and adherence: The utility of the necessity-concerns framework. Journal of Acquired Immune Deficiency Syndromes, 45, 334–341.
16. Jonsdottir, H., Friis, S., Horne, R., Pettersen, K. I., Reikvam, A., & Andreassen, O. A. (2009). Beliefs about medications: Measurement and relationship to adherence in patients with severe mental disorders. Acta Psychiatrica Scandavia, 119, 78–84.
17. Kalichman, S., Amaral, C. M., Cherry, C., Flanagan, J. A., Pope, H., Eaton, L., & Schinazi, R. (2008). Monitoring Antiretroviral adherence by unannounced pill counts conducted by telephone: Reliability and criterion-related validity. HIV Clinical Trials, 9, 298–308.
18. Kalichman, S. C., Amaral, C., Swetsze, C., Eaton, L., Kalichman, M. O., Cherry, C., & Schinazi, R. F. (2010). Monthly unannounced pill counts for monitoring HIV treatment adherence: Tests for self-monitoring and reactivity effects. HIV Clinical Trials, 11, 325–331.
19. Kalichman, S., Eaton, L., Kalichman, M. (2015). Medication beliefs mediate the association between medical mistrst and antiretroviral adherence among African-Americans living with HIV. Journal of Health Psychology. doi:10.1177/1359105315600239.
20. Kalichman, S. C., Kalichman, M. O., Cherry, C., Swetzes, C., Amaral, C. M., White, D., & Eaton, L. (2011). Brief behavioral self-regulation counseling for HIV treatment adherence delivered by cell phone: An initial test of concept trial. AIDS Patient Care STDs, 25, 303–310.
21. Kalichman, S., Rompa, D., & Cage, M. (2000). Distinguishing between overlapping somatic symptoms of depression and HIV disease in people living with HIV–AIDS. Journal of Nervous and Mental Disicions, 188, 662–670.
22. Lima, V. D., Bangsberg, D. R., Harrigan, P. R., Deeks, S. G., Yip, B., Hogg, R. S., & Montaner, J. S. (2010). Risk of viral failure declines with duration of suppression on highly active antiretroviral therapy irrespective of adherence level. Journal of Acquired Immune Deficiency Syndromes, 55, 460–465.
23. Maulsby, C., Millett, G., Lindsey, K., Kelley, R., Johnson, K., Montoya, D., & Holtgrave, D. (2014). HIV among Black men who have sex with men (MSM) in the United States: A review of the literature. AIDS and Behavior, 18, 10–25.
24. McFall, A. M., Dowdy, D. W., Zelaya, C. E., Murphy, K., Wilson, T. E., Young, M. A., & Althoff, K. N. (2013). Understanding the disparity: Predictors of virologic failure in women using highly active antiretroviral therapy vary by race and/or ethnicity. Journal of Acquired Immune Deficiency Syndromes, 64, 289–298.
25. Morrison-Beedy, D., Carey, M. P., & Tu, X. (2006). Accuracy of audio computer-assisted self-interviewing (ACASI) and self-administered questionnaires for the assessment of sexual behavior. AIDS and Behavior, 10, 541–552.
26. Nozaki, I., Kuriyama, M., Manyepa, P., Zyambo, M. K., Kakimoto, K., & Barnighausen, T. (2013). False beliefs about ART effectiveness, side effects and the consequences of non-retention and non-adherence among ART patients in Livingstone, Zambia. AIDS and Behavior, 17, 122–126.
27. Parienti, J. J., Barrail-Tran, A., Duval, X., Nembot, G., Descamps, D., Vigan, M., & Goujard, C. (2013). Adherence profiles and therapeutic responses of treatment-naive HIV-infected patients starting boosted atazanavir-based therapy in the ANRS 134-COPHAR 3 trial. Antimicrobial Agents and Chemotherapy, 57, 2265–2271.
28. Pellowski, J. A., Kalichman, S. C., & Finitsis, D. J. (2015). Reliability and validity of a single-item rating scale to monitor medication adherence for people living with HIV and lower health literacy. HIV Clinical Trials, 16, 1–9.
29. Pellowski, J. A., Kalichman, S. C., Matthews, K. A., & Adler, N. (2013). A pandemic of the poor: Social disadvantage and the U.S. HIV epidemic. American Psychologist, 68, 197–209.
30. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. [Research Support, N.I.H., Extramural]. Behavior Research Methods, 40, 879–891.
31. Reynolds, N. R., Testa, M. A., Su, M., Chesney, M. A., Neidig, J. L., Frank, I., & Robbins, G. K. (2008). Telephone support to improve antiretroviral medication adherence: A multisite, randomized controlled trial. Journal of Acquired Immune Deficiency Syndromes, 47, 62–68.
32. Saha, S., Jacobs, E. A., Moore, R. D., & Beach, M. C. (2010). Trust in physicians and racial disparities in HIV care. AIDS Patient Care STDs, 24, 415–420.
33. Shelton, R. C., Winkel, G., Davis, S. N., Roberts, N., Valdimarsdottir, H., Hall, S. J., & Thompson, H. S. (2010). Validation of the group-based medical mistrust scale among urban black men. Journal of General Internal Medicine, 25, 549–555.
34. Siddiqi, A. E., Hu, X., & Hall, H. I. (2015). Mortality among blacks or African Americans with HIV infection: United States, 2008–2012. Morbidity and Mortality Weekly Report, 64, 81–86.
35. Simoni, J. M., Huh, D., Wilson, I. B., Shen, J., Goggin, K., Reynolds, N. R., & Liu, H. (2012). Racial/ethnic disparities in ART adherence in the United States: Findings from the MACH14 study. Journal of Acquired Immune Deficiency Syndromes, 60, 466–472.