139
Views
1
CrossRef citations to date
0
Altmetric
Original Research

Socio-Demographic, Economic and Clinical Predictors for HAART Adherence Competence in HIV-Positive Adults at Felege Hiwot Teaching and Specialized Hospital, North West Ethiopia

ORCID Icon
Pages 749-758 | Published online: 09 Jul 2021

References

  • Mahayana M. Self-Regulation of Pain Management by Hospice Patients. University of Illinois at Chicago, Health Sciences Center; 2009.
  • Smith AD, Tapsoba P, Peshu N, et al. Men who have sex with men and HIV/AIDS in sub-Saharan Africa. Lancet. 2009;374(9687):416–422. doi:10.1016/S0140-6736(09)61118-1
  • Pettifor AE, Rees HV, Kleinschmidt I, et al. Young people’s sexual health in South Africa: HIV prevalence and sexual behaviors from a nationally representative household survey. Aids. 2005;19(14):1525–1534. doi:10.1097/01.aids.0000183129.16830.06
  • Demographic E. Health Survey 2011 Central Statistical Agency Addis Ababa. USA: Ethiopia ICF International Calverton; 2012.
  • Aynalem Tesfay F, Dejenie Habtewold T. Assessment of prevalence and determinants of occupational exposure to HIV infection among healthcare workers in selected health institutions in Debre Berhan town, North Shoa Zone, Amhara Region, Ethiopia, 2014. AIDS Res Treat. 2014;2014:1–11. doi:10.1155/2014/731848
  • Gelaw B, Mengitsu Y. The prevalence of HBV, HCV and malaria parasites among blood donor in Amhara and Tigray regional states. Ethiop J Health Dev. 2008;22(1):3–7. doi:10.4314/ejhd.v22i1.10056
  • Abebe Y, Schaap A, Mamo G, et al. HIV prevalence in 72 000 urban and rural male army recruits, Ethiopia. Aids. 2003;17(12):1835–1840. doi:10.1097/00002030-200308150-00013
  • Beach MC, Keruly J, Moore RD. Is the quality of the patient-provider relationship associated with better adherence and health outcomes for patients with HIV? J Gen Intern Med. 2006;21(6):661. doi:10.1111/j.1525-1497.2006.00399.x
  • Lawn SD, Myer L, Bekker L-G, et al. CD4 cell count recovery among HIV-infected patients with very advanced immunodeficiency commencing antiretroviral treatment in sub-Saharan Africa. BMC Infect Dis. 2006;6(1):1. doi:10.1186/1471-2334-6-59
  • Kurth AE, Celum C, Baeten JM, et al. Combination HIV prevention: significance, challenges, and opportunities. Curr HIV/AIDS Rep. 2011;8(1):62–72. doi:10.1007/s11904-010-0063-3
  • Kharsany AB, Karim QA. HIV infection and AIDS in Sub-Saharan Africa: current status, challenges and opportunities. Open AIDS J. 2016;10(1):34. doi:10.2174/1874613601610010034
  • Seyoum A, Ndlovu P, Zewotir T. Quasi-Poisson versus negative binomial regression models in identifying factors affecting initial CD4 cell count change due to antiretroviral therapy administered to HIV-positive adults in North–West Ethiopia (Amhara region). AIDS Res Ther. 2016;13(1):36. doi:10.1186/s12981-016-0119-6
  • Gezie LD. Predictors of CD4 count over time among HIV patients initiated ART in Felege Hiwot Referral Hospital, northwest Ethiopia: multilevel analysis. BMC Res Notes. 2016;9(1):377. doi:10.1186/s13104-016-2182-4
  • Amberbir A, Woldemichael K, Getachew S, et al. Predictors of adherence to antiretroviral therapy among HIV-infected persons: a prospective study in Southwest Ethiopia. BMC Public Health. 2008;8(1):1.
  • Muyingo SK, Walker AS, Reid A, et al. Patterns of individual and population-level adherence to antiretroviral therapy and risk factors for poor adherence in the first year of the DART trial in Uganda and Zimbabwe. J Acquir Immune Defic Syndr. 2008;48(4):468–475. doi:10.1097/QAI.0b013e31817dc3fd
  • Edwards LJ. Modern statistical techniques for the analysis of longitudinal data in biomedical research. Pediatr Pulmonol. 2000;30(4):330–344. doi:10.1002/1099-0496(200010)30:4<330::AID-PPUL10>3.0.CO;2-D
  • Byrne BM. Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming. Routledge; 2013.
  • Langebeek N, Gisolf EH, Reiss P, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12(1):142.
  • Do NT, Phiri K, Bussmann H, et al. Psychosocial factors affecting medication adherence among HIV–1 infected adults receiving combination antiretroviral therapy (cART) in Botswana. AIDS Res Hum Retroviruses. 2010;26(6):685–691. doi:10.1089/aid.2009.0222
  • Nosyk B, Lourenço L, Min JE, et al. Characterizing retention in HAART as a recurrent event process: insights into ‘cascade churn’. AIDS. 2015;29(13):1681. doi:10.1097/QAD.0000000000000746
  • Howard AA, Arnsten JH, Lo Y, et al. A prospective study of adherence and viral load in a large multi-center cohort of HIV-infected women. Aids. 2002;16(16):2175–2182. doi:10.1097/00002030-200211080-00010
  • Belle D. Poverty and women’s mental health. Am Psychol. 1990;45(3):385. doi:10.1037/0003-066X.45.3.385
  • Alok R, Das SK, Agarwal GG, et al. Problem-focused coping and self-efficacy as correlates of quality of life and severity of fibromyalgia in primary fibromyalgia patients. J Clin Rheumatol. 2014;20(6):314–316.
  • Okonji JA, Zeh C, Weidle PJ, et al. CD4, viral load response, and adherence among antiretroviral-naive breast- feeding women receiving triple antiretroviral prophylaxis for prevention of mother-to-child transmission of HIV in Kisumu, Kenya. J Acquir Immune Defic Syndr. 2012;61(2):249–257. doi:10.1097/QAI.0b013e318262514f
  • Schwimmer JB, Burwinkle TM, Varni JW. Health-related quality of life of severely obese children and adolescents. JAMA. 2003;289(14):1813–1819. doi:10.1001/jama.289.14.1813
  • Sagarduy JLY, López JAP, Ramírez MTG, et al. Psychological model of ART adherence behaviors in persons living with HIV/AIDS in Mexico: a structural equation analysis. Rev Saude Publica. 2017;51:81. doi:10.11606/s1518-8787.2017051006926
  • Rao D, Feldman BJ, Fredericksen RJ, et al. A structural equation model of HIV-related stigma, depressive symptoms, and medication adherence. AIDS Behav. 2012;16(3):711–716. doi:10.1007/s10461-011-9915-0
  • Shmueli A. Socio-economic and demographic variation in health and in its measures: the issue of reporting heterogeneity. Soc Sci Med. 2003;57(1):125–134. doi:10.1016/S0277-9536(02)00333-7
  • Guerrero M, Rialp J, Urbano D. The impact of desirability and feasibility on entrepreneurial intentions: a structural equation model. Int Entrepreneurship Manag J. 2008;4(1):35–50. doi:10.1007/s11365-006-0032-x
  • Marsh HW, Hocevar D. Application of confirmatory factor analysis to the study of self- concept: first-and higher order factor models and their invariance across groups. Psychol Bull. 1985;97(3):562. doi:10.1037/0033-2909.97.3.562
  • MacCallum RC, Austin JT. Applications of structural equation modeling in psychological research. Ann Rev Psychol. 2000;51(1):201–226. doi:10.1146/annurev.psych.51.1.201
  • Adams M, Luguterah A. Longitudinal analysis of change in CD4+ cell counts of HIV–1 patients on antiretroviral therapy (ART) in the Builsa district hospital. Eur Sci J. 2013;9(33).
  • Berg KM, Demas PA, Howard AA, et al. Gender differences in factors associated with adherence to antiretroviral therapy. J Gen Intern Med. 2004;19(11):1111–1117. doi:10.1111/j.1525-1497.2004.30445.x
  • Asfaw A, Ali D, Eticha T, et al. CD4 cell count trends after commencement of antiretroviral therapy among HIV-infected patients in Tigray, Northern Ethiopia: a Retrospective Cross-Sectional Study. PLoS One. 2015;10(3):e0122583. doi:10.1371/journal.pone.0122583
  • Skhosana NL, Struthers H, Gray GE, et al. HIV disclosure and other factors that impact on adherence to antiretroviral therapy: the case of Soweto, South Africa. Afr J AIDS Res. 2006;5(1):17–26. doi:10.2989/16085900609490363
  • Lima VD, Fink V, Yip B, et al. Association between HIV–1 RNA level and CD4 cell count among untreated HIV- infected individuals. Am J Public Health. 2009;99(S1):S193–S196. doi:10.2105/AJPH.2008.137901
  • Kulkarni H, Okulicz JF, Grandits G, et al. Early postsero conversion CD4 cell counts independently predict CD4 cell count recovery in HIV–1–positive subjects receiving antiretroviral therapy. J Acquir Immune Defic Syndr. 2011;57(5):387. doi:10.1097/QAI.0b013e3182219113
  • Montarroyos UR, Miranda-Filho DB, César CC, et al. Factors related to changes in CD4+ T-cell counts over time in patients living with HIV/AIDS: a multilevel analysis. PLoS One. 2014;9(2):e84276. doi:10.1371/journal.pone.0084276
  • Mair C, Hawes SE, Agne HD, et al. Factors associated with CD4 lymphocyte counts in HIV‐negative Senegalese individuals. Clin Exp Immunol. 2008;151(3):432–440. doi:10.1111/j.1365-2249.2007.03573.x
  • Maqutu D, Zewotir T. Optimal HAART adherence over time and time interval between successive visits: their association and determinants. AIDS Care. 2011;23(11):1417–1424. doi:10.1080/09540121.2011.565028
  • Kaufmann GR, Perrin L, Pantaleo G, et al. CD4 T-lymphocyte recovery in individuals with advanced HIV–1 infection receiving potent antiretroviral therapy for 4 years: the Swiss HIV Cohort Study. Arch Intern Med. 2003;163(18):2187–2195. doi:10.1001/archinte.163.18.2187
  • Kipp AM, Pungrassami P, Nilmanat K, et al. Socio-demographic and AIDS-related factors associated with tuberculosis stigma in southern Thailand: a quantitative, cross-sectional study of stigma among patients with TB and healthy community members. BMC Public Health. 2011;11(1):675. doi:10.1186/1471-2458-11-675
  • Maqutu D, Zewotir T, North D, et al. Determinants of optimal adherence over time to antiretroviral therapy amongst HIV positive adults in South Africa: a longitudinal study. AIDS Behav. 2011;15(7):1465–1474. doi:10.1007/s10461-010-9688-x
  • Florence E, Lundgren J, Dreezen C, et al. Factors associated with a reduced CD4 lymphocyte count response to HAART despite full viral suppression in the Euro SIDA study. HIV Med. 2003;4(3):255–262. doi:10.1046/j.1468-1293.2003.00156.x
  • Ebonyi AO, Agbaji OO, Anejo-Okopi JA, et al. Factors associated with a low CD4 count among HIV–1 infected patients at enrolment into HAART in Jos Nigeria. Br J Med Med Res. 2014;4(13):2536. doi:10.9734/BJMMR/2014/8469
  • Smith CJ, Sabin C, Youle M, et al. Factors influencing increases in CD4 cell counts of HIV-positive persons receiving long-term highly active antiretroviral therapy. J Infect Dis. 2004;190(10):1860–1868. doi:10.1086/425075