Abstract
OBJECTIVE: We compared the health-related quality of life (HRQL) of Aboriginal and non-Aboriginal HIV patients after they started highly active antiretroviral therapy (HAART) in Edmonton, Alberta and investigated whether clinical status (CD4 cell count and viral load) might explain any observed differences.
METHODS: In 2006–2007, eligible patients who started HAART in 1997–2005 completed the MOS-HIV to measure HRQL. Using multiple linear regression models, we compared physical (PHS) and mental (MHS) health summary scores across four groups: Aboriginals infected with HIV via injection drug use (AB/IDUs); Aboriginal non-IDUs (AB/non-IDUs); non-Aboriginal IDUs (non-AB/IDUs); and non-Aboriginal non-IDUs (non-AB/non-IDUs). To assess whether clinical status could explain any observed group differences, we fitted a model adjusting for socio-demographics (age and sex) and years since starting HAART only and then additionally adjusted for current clinical status.
RESULTS: Ninety-six patients were eligible (35% Aboriginal, 42% IDU). Adjusting for socio-demographics and years since starting HAART, AB/IDUs (p=0.008), AB/non-IDUs (p=0.002), and non-AB/IDUs (p=0.002) had lower PHS scores than non-AB/non-IDUs. After additionally adjusting for clinical status, these relationships remained significant for AB/non-IDUs (p=0.027) and non-AB/IDUs (p=0.048) but not for AB/IDUs (p=0.12). AB/IDUs and non-AB/IDUs tended to have worse MHS scores than non-AB/non-IDUs, but these relationships were not statistically significant and weakened after adjusting for current clinical status.
CONCLUSIONS: AB/IDU, AB/non-IDUs, and non-AB/IDUs had significantly poorer physical HRQL than non-AB/non-IDUs. These differences appear to be partially explained by poorer clinical status, especially for AB/IDUs, which suggests that observed inequalities in physical HRQL may be diminished by improving patients’ clinical status; for example, through improved adherence to HAART.
Key words: Aboriginal populations; antiretroviral therapy, highly active; intravenous drug users; treatment outcomes; health-related quality of life
Résumé
OBJECTIF: Nous avons comparé la qualité de vie liée à la santé (QVLS) de patients autochtones et non autochtones atteints du VIH après le début d’une thérapie antirétrovirale hautement active (TAHA) à Edmonton (Alberta) et cherché à savoir si leur état clinique (numération des lymphocytes CD4 et charge virale) pouvait expliquer les différences observées.
MÉTHODE: En 2006–2007, des patients admissibles ayant entamé une TAHA en 1997–2005 ont rempli le questionnaire MOS-HIV, qui mesure la QVLS. À l’aide de modèles de régression linéaire multiple, nous avons comparé les cotes sommaires de santé physique (CSP) et de santé mentale (CSM) de quatre groupes: les Autochtones infectés par le VIH via l’utilisation de drogues par injection (Aut./UDI); les Autochtones non-UDI (Aut./non-UDI); les non-Autochtones UDI (non-Aut./UDI); et les non-Autochtones non-UDI (non-Aut./non-UDI). Pour déterminer si l’état clinique pouvait expliquer les différences observées entre ces groupes, nous avons adapté un modèle en tenant compte des caractéristiques sociodémographiques (âge et sexe) et du nombre d’années depuis le début de la TAHA seulement, puis en tenant compte, en plus, de l’état clinique actuel.
RÉSULTATS: Quatre-vingt-seize patients étaient admissibles (35 % d’Autochtones, 42 % d’UDI). Compte tenu des caractéristiques sociodémographiques et du nombre d’années depuis le début de la TAHA, les Aut./UDI (p=0,008), les Aut./non-UDI (p=0,002) et les non-Aut./UDI (p=0,002) avaient des cotes CSP inférieures à celles des non-Aut./non-UDI. En tenant aussi compte de l’état clinique, ces relations demeuraient significatives pour les Aut./non-UDI (p=0,027) et les non-Aut./UDI (p=0,048), mais pas pour les Aut./UDI (p=0,12). Les Aut./UDI et les non-Aut./UDI avaient tendance à présenter des CSM inférieures à celles des non-Aut./non-UDI, mais ces relations n’étaient pas significatives, et elles s’affaiblissaient après la prise en considération de l’état clinique actuel.
CONCLUSION: La QVLS physique des Aut./UDI, des Aut./non-UDI et des non-Aut./UDI était significativement inférieure à celle des non-Aut./non-UDI. Ces différences semblent s’expliquer en partie par un moins bon état clinique, surtout pour les Aut./UDI, ce qui laisse entendre que les inégalités observées dans la QVLS physique peuvent être réduites si l’on améliore l’état clinique des patients, par exemple en améliorant l’observance de la TAHA.
Mots clés: populations autochtones, thérapie antirétrovirale hautement active, toxicomanie intraveineuse, résultat thérapeutique, qualité de vie liée à la santé
Footnotes
Previous Presentations: This work was presented in part at the 18th Annual Canadian Conference on HIV/AIDS Research, Vancouver, BC, April 23–26, 2009 (published abstract: Can J Infect Dis Med Microbiol 2009;20(Suppl B):40B) and was included as a chapter in L.J. Martin’s PhD thesis.
Acknowledgements: This study was funded by the Alberta Heritage Foundation for Medical Research (AHFMR) Health Research Fund. L.J. Martin was supported by an AHFMR full-time studentship and a Canadian Institutes for Health Research Doctoral Research Award. We thank B.E. Lee from the Provincial Public Health Laboratory for providing viral load data; the NAHIVP clinic staff for helping to enrol patients and assisting with study management; J. MacDonald for administrative assistance; J. Kele<cević for interviewing patients and entering data; and J. Bietz for entering data.
Conflict of Interest: None to declare.
References
- 1.Martin LJ, Houston S, Yasui Y, Wild TC, Saunders LD. Rates of initial virolog-ical suppression and subsequent virological failure after initiating highly active antiretroviral therapy: The impact of Aboriginal ethnicity and injection drug use. Curr HIV Res. 2010;8(8):649–58. doi: 10.2174/157016210794088227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Martin LJ, Houston S, Yasui Y, Wild TC, Saunders LD. All-cause and HIV-related mortality rates among HIV-infected patients after initiating highly active anti-retroviral therapy: The impact of Aboriginal ethnicity and injection drug use. Can J Public Health. 2011;102(2):90–96. doi: 10.1007/BF03404154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Lima VD, Kretz P, Palepu A, Bonner S, Kerr T, Moore D, et al. Aboriginal status is a prognostic factor for mortality among antiretroviral naïve HIVpositive individuals first initiating HAART. AIDS Res Ther. 2006;3:14. doi: 10.1186/1742-6405-3-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dybul M, Fauci AS, Bartlett JG, Kaplan JE, Pau AK. Guidelines for using antiretroviral agents among HIV-infected adults and adolescents. Recommendations of the Panel on Clinical Practices for Treatment of HIV. MMWR Recomm Rep. 2002;51(RR-7):1–55. [PubMed] [Google Scholar]
- 5.Brandson EK, Fernandes KA, Palmer A, Clement K, Olson B, Lima VD, et al. HAART-full of life: Variations in quality of life among Aboriginal and non-Aboriginal peoples ever on antiretroviral therapy in BC. XVII International AIDS Conference. 2008 Aug 3-8; Mexico City, Mexico. Abstract no. THPE0818. Available at: http://www.iasociety.org/Default.aspx?pageId=11&abstractId=200718980 (Accessed March 6, 2012).
- 6.Call SA, Klapow JC, Stewart KE, Westfall AO, Mallinger AP, Demasi RA, et al. Health-related quality of life and virologic outcomes in an HIV clinic. Qual Life Res. 2000;9(9):977–85. doi: 10.1023/A:1016668802328. [DOI] [PubMed] [Google Scholar]
- 7.Préau M, Protopopescu C, Spire B, Sobel A, Dellamonica P, Moatti J P, et al. Health related quality of life among both current and former injection drug users who are HIV-infected. Drug Alcohol Depend. 2007;86(2-3):175–82. doi: 10.1016/j.drugalcdep.2006.06.012. [DOI] [PubMed] [Google Scholar]
- 8.Burgoyne RW, Saunders DS. Quality of life among urban Canadian HIV/AIDS clinic outpatients. Int J STD AIDS. 2001;12(8):505–12. doi: 10.1258/0956462011923598. [DOI] [PubMed] [Google Scholar]
- 9.Badia X, Podzamczer D, Garcia M, Lopez-Lavid CC, Consiglio E. A randomized study comparing instruments for measuring health-related quality of life in HIV-infected patients. AIDS. 1999;13(13):1727–35. doi: 10.1097/00002030-199909100-00017. [DOI] [PubMed] [Google Scholar]
- 10.Public Health Agency of Canada. HIV/AIDS Epi Updates, November 2007. Ottawa, ON: Centre for Infectious Disease Prevention and Control; 2007. [Google Scholar]
- 11.Dalgard O, Egeland A, Skaug K, Vilimas K, Steen T. Health-related quality of life in active injecting drug users with and without chronic hepatitis C virus infection. Hepatology. 2004;39(1):74–80. doi: 10.1002/hep.20014. [DOI] [PubMed] [Google Scholar]
- 12.Perez IR, Bano JR, Lopez Ruz MA, Jiminez AA, Prados MC, Liano JP, et al. Health-related quality of life of patients with HIV: Impact of sociodemo-graphic, clinical and psychosocial factors. Qual Life Res. 2005;14:1301–10. doi: 10.1007/s11136-004-4715-x. [DOI] [PubMed] [Google Scholar]
- 13.Wu AW, Revicki DA, Jacobson D, Malitz FE. Evidence for reliability, validity and usefulness of the Medical Outcomes Study HIV Health Survey (MOS-HIV) Qual Life Res. 1997;6(6):481–93. doi: 10.1023/A:1018451930750. [DOI] [PubMed] [Google Scholar]
- 14.Public H A o Canada. HIV and AIDS in Canada. Surveillance Report to December 31, 2006. Ottawa: Centre for Infectious Disease Prevention and Control, Surveillance and Risk Assessment Division, PHAC; 2007. [Google Scholar]
- 15.Wu AW. MOS-HIV Health Survey Scoring Guidelines. Waltham, MA: Medical Outcomes Trust; 1997. [Google Scholar]
- 16.Dohoo I, Martin W, Stryhn H. Veterinary Epidemiologic Research. Charlottetown, PE: VER Inc.; 2009. [Google Scholar]
- 17.Clarke DE, Colantonio A, Rhodes AE, Escobar M. Pathways to suicidality across ethnic groups in Canadian adults: The possible role of social stress. Psychol Med. 2008;38(3):419–31. doi: 10.1017/S0033291707002103. [DOI] [PubMed] [Google Scholar]
- 18.Rosenbloom MJ, Sullivan EV, Sassoon SA, O’Reilly A, Fama R, Kemper CA, et al. Alcoholism, HIV infection, and their comorbidity: Factors affecting self-rated health-related quality of life. J Stud Alcohol Drugs. 2007;68(1):115–25. doi: 10.15288/jsad.2007.68.115. [DOI] [PubMed] [Google Scholar]
- 19.Cohen J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988. [Google Scholar]
