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Current HIV Research

Editor-in-Chief

ISSN (Print): 1570-162X
ISSN (Online): 1873-4251

Systematic Review Article

Socioeconomic and Demographic Statuses as Determinants of Adherence to Antiretroviral Treatment in HIV Infected Patients: A Systematic Review of the Literature

Author(s): Nuredin Nassir Azmach*, Temam Abrar Hamza and Awel Abdella Husen

Volume 17, Issue 3, 2019

Page: [161 - 172] Pages: 12

DOI: 10.2174/1570162X17666190919130229

Price: $65

Abstract

Background: Socioeconomic and demographic statuses are associated with adherence to the treatment of patients with several chronic diseases. However, there is a controversy regarding their impact on adherence among HIV/AIDS patients. Thus, we performed a systematic review of the evidence regarding the association of socioeconomic and demographic statuses with adherence to antiretroviral therapy (ART) among HIV/AIDS patients.

Methods: The PubMed database was used to search and identify studies concerning about socioeconomic and demographic statuses and HIV/AIDS patients. Data were collected on the association between adherence to ART and varies determinants factors of socioeconomic (income, education, and employment/occupation) and socio-demographic (sex and age).

Findings: From 393 potentially-relevant articles initially identified, 35 original studies were reviewed in detail, which contained data that were helpful in evaluating the association between socioeconomic/ demographic statuses and adherence to ART among HIV patients. Two original research study has specifically focused on the possible association between socioeconomic status and adherence to ART. Income, level of education, and employment/occupational status were significantly and positively associated with the level of adherence in 7 studies (36.8%), 7 studies (28.0%), and 4 studies (23.5%) respectively out of 19, 25, and 17 studies reviewed. Sex (being male), and age (per year increasing) were significantly and positively associated with the level of adherence in 5 studies (14.3%), and 9 studies (25.7%) respectively out of 35 studies reviewed. However, the determinant of socioeconomic and demographic statuses was not found to be significantly associated with adherence in studies related to income 9(47.4%), education 17(68.0%), employment/ occupational 10(58.8%), sex 27(77.1%), and age 25(71.4%).

Conclusion: The majority of the reviewed studies reported that there is no association between socio- demographic and economic variables and adherence to therapy. Whereas, some studies show that age of HIV patients (per year increasing) and sex (being male) were positively associated with adherence to ART. Among socio-economic factors, the available evidence does not provide conclusive support for the existence of a clear association with adherence to ART among HIV patients. There seems to be a positive trend between socioeconomic factors and adherence to ART in some of the reviewed studies.

Keywords: ART, HIV/AIDS, adherence, ARV, socioeconomic, socio-demographic.

Graphical Abstract

[1]
Woods LM, Rachet B, Coleman MP. Origins of socio-economic inequalities in cancer survival: a review. Ann Oncol 2006; 17(1): 5-19.
[http://dx.doi.org/10.1093/annonc/mdj007] [PMID: 16143594]
[2]
Hawkins NM, Jhund PS, McMurray JJV, Capewell S. Heart failure and socioeconomic status: Accumulating evidence of inequality. Eur J Heart Fail 2012; 14(2): 138-46.
[http://dx.doi.org/10.1093/eurjhf/hfr168] [PMID: 22253454]
[3]
Saydah S, Lochner K. Socioeconomic status and risk of diabetes-related mortality in the U.S. Public Health Rep 2010; 125(3): 377-88.
[http://dx.doi.org/10.1177/003335491012500306] [PMID: 20433032]
[4]
Palella FJ, Delaney KM, Moorman AC, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators N Engl J Med 1998; 338(13): 853-60.
[http://dx.doi.org/10.1056/NEJM199803263381301]
[5]
Sahay S, Reddy KS, Dhayarkar S. Optimizing adherence to antiretroviral therapy. Indian J Med Res 2011; 134(6): 835-49.
[http://dx.doi.org/10.4103/0971-5916.92629] [PMID: 22310817]
[6]
El-Sadr WM, Lundgren J, Neaton JD, et al. Strategies for Management of Antiretroviral Therapy (SMART) Study Group. CD4+ count-guided interruption of antiretroviral treatment. N Engl J Med 2006; 355(22): 2283-96.
[http://dx.doi.org/10.1056/NEJMoa062360] [PMID: 17135583]
[7]
El-Sadr WM, Lundgren J, Neaton JD, et al. Strategies for Management of Antiretroviral Therapy (SMART) Study Group. CD4+ count-guided interruption of antiretroviral treatment. N Engl J Med 2006; 355(22): 2283-96.
[http://dx.doi.org/10.1056/NEJMoa062360] [PMID: 17135583]
[8]
Braitstein P, Brinkhof MW, Dabis F, et al. Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: Comparison between low-income and high-income countries. Lancet 2006; 367(9513): 817-24.
[http://dx.doi.org/10.1016/S0140-6736(06)68337-2] [PMID: 16530575]
[9]
Chabikuli NO, Datonye DO, Nachega J, Ansong D. Adherence to antiretroviral therapy, virologic failure and workload at the Rustemburg Provincial hospital. S Afr Fam Pract 2010; 52(4): 350-5.
[http://dx.doi.org/10.1080/20786204.2010.10874005]
[10]
Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med 2011; 365(6): 493-505.
[http://dx.doi.org/10.1056/NEJMoa1105243] [PMID: 21767103]
[11]
Reda AA, Biadgilign S. Determinants of Adherence to Antiretroviral Therapy among HIV-Infected Patients in Africa. Aids Res Treat 2012; 2012574656
[http://dx.doi.org/10.1155/2012/574656] [PMID: 22461980]
[12]
Pellowski JA, Kalichman SC, Matthews KA, Adler N. A pandemic of the poor: social disadvantage and the U.S. HIV epidemic. Am Psychol 2013; 68(4): 197-209.
[http://dx.doi.org/10.1037/a0032694] [PMID: 23688088]
[13]
Shacham E, Nurutdinova D, Onen N, Stamm K, Overton ET. The interplay of sociodemographic factors on virologic suppression among a U.S. outpatient HIV clinic population. AIDS Patient Care STDS 2010; 24(4): 229-35.
[http://dx.doi.org/10.1089/apc.2009.0275] [PMID: 20397898]
[14]
Beer L, Oster AM, Mattson CL, Skarbinski J. Medical Monitoring Project. Disparities in HIV transmission risk among HIV-infected black and white men who have sex with men, United States, 2009. AIDS 2014; 28(1): 105-14.
[http://dx.doi.org/10.1097/QAD.0000000000000021] [PMID: 23942058]
[15]
Simoni JM, Yard SS, Huh D. Prospective prediction of viral suppression and immune response nine months after ART initiation in Seattle, WA. AIDS Care 2013; 25(2): 181-5.
[http://dx.doi.org/10.1080/09540121.2012.687821] [PMID: 22639986]
[16]
Beer L, Heffelfinger J, Frazier E, et al. Use of and Adherence to Antiretroviral Therapy in a Large U.S. Sample of HIV-infected Adults in Care, 2007-2008. Open AIDS J 2012; 6(Suppl. 1): 213-23.
[http://dx.doi.org/10.2174/1874613601206010213] [PMID: 23056163]
[17]
Burch LS, Smith CJ, Anderson J, et al. Socioeconomic status and treatment outcomes for individuals with HIV on antiretroviral treatment in the UK: cross-sectional and longitudinal analyses. Lancet Public Health 2016; 1(1): e26-36.
[http://dx.doi.org/10.1016/S2468-2667(16)30002-0] [PMID: 28299369]
[18]
Siefried KJ, Mao L, Kerr S, et al. PAART study investigators. Socioeconomic factors explain suboptimal adherence to antiretroviral therapy among HIV-infected Australian adults with viral suppression. PLoS One 2017; 12(4)e0174613
[http://dx.doi.org/10.1371/journal.pone.0174613] [PMID: 28369066]
[19]
Tran BX, Nguyen LT, Nguyen NH, Hoang QV, Hwang J. Determinants of antiretroviral treatment adherence among HIV/AIDS patients: a multisite study. Glob Health Action 2013; 6: 19570.
[http://dx.doi.org/10.3402/gha.v6i0.19570] [PMID: 23497956]
[20]
Muessig KE, McLaughlin MM, Nie JM, et al. Suboptimal antiretroviral therapy adherence among HIV-infected adults in Guangzhou, China. AIDS Care 2014; 26(8): 988-95.
[http://dx.doi.org/10.1080/09540121.2014.897912] [PMID: 24666239]
[21]
Wasti SP, Simkhada P, Randall J, Freeman JV, van Teijlingen E. Factors influencing adherence to antiretroviral treatment in Nepal: a mixed-methods study. PLoS One 2012; 7(5)e35547
[http://dx.doi.org/10.1371/journal.pone.0035547] [PMID: 22563464]
[22]
Joshi B, Chauhan S, Pasi A, et al. Level of suboptimal adherence to first line antiretroviral treatment & its determinants among HIV positive people in India. Indian J Med Res 2014; 140(1): 84-95.
[PMID: 25222782]
[23]
Elul B, Basinga P, Nuwagaba-Biribonwoha H, et al. High levels of adherence and viral suppression in a nationally representative sample of HIV-infected adults on antiretroviral therapy for 6, 12 and 18 months in Rwanda. PLoS One 2013; 8(1)e53586
[http://dx.doi.org/10.1371/journal.pone.0053586] [PMID: 23326462]
[24]
Odili VU, Obieche AO, Amibor KC. Adherence to Antiretroviral Therapy and Its Determinants Among HIV-Infected Patients in Nigeria. J Pharm Pract 2017; 30(3): 291-5.
[http://dx.doi.org/10.1177/0897190016633978] [PMID: 26921233]
[25]
Pefura-Yone EW, Soh E, Kengne AP, Balkissou AD, Kuaban C. Non-adherence to antiretroviral therapy in Yaounde: prevalence, determinants and the concordance of two screening criteria. J Infect Public Health 2013; 6(4): 307-15.
[http://dx.doi.org/10.1016/j.jiph.2013.02.003] [PMID: 23806707]
[26]
American Psychological Association: Socioeconomic status Available from:. http://www.apa.org [Accessed on: 15 Jan 2018].
[27]
Gesis: Socio-demographic characteristics Available from:. https://www.gesis.org [Accessed on: 15 Jan 2018].
[28]
Oku AO, Owoaje ET, Ige OK, Oyo-Ita A. Prevalence and determinants of adherence to HAART amongst PLHIV in a tertiary health facility in south-south Nigeria. BMC Infect Dis 2013; 13: 401.
[http://dx.doi.org/10.1186/1471-2334-13-401] [PMID: 24229404]
[29]
Hanif H, Bastos FI, Malta M, et al. Individual and contextual factors of influence on adherence to antiretrovirals among people attending public clinics in Rio de Janeiro, Brazil. BMC Public Health 2013; 13(1): 574.
[http://dx.doi.org/10.1186/1471-2458-13-574] [PMID: 23758780]
[30]
Shigdel R, Klouman E, Bhandari A, Ahmed LA. Factors associated with adherence to antiretroviral therapy in HIV-infected patients in Kathmandu District, Nepal. HIV/AIDS-Research and Palliative Care 2014; 6: 109-6.
[31]
Suleiman IA, Momo A. Adherence to antiretroviral therapy and its determinants among persons living with HIV/AIDS in Bayelsa state, Nigeria. Pharm Pract (Granada) 2016; 14(1): 631.
[http://dx.doi.org/10.18549/PharmPract.2016.01.631] [PMID: 27011771]
[32]
Tsega B, Srikanth BA, Shewamene Z. Determinants of non-adherence to antiretroviral therapy in adult hospitalized patients, Northwest Ethiopia. Patient Prefer Adherence 2015; 9: 373-80.
[http://dx.doi.org/10.2147/PPA.S75876] [PMID: 25784793]
[33]
Biswas B, Spitznagel E, Collier AC, et al. Characterizing HIV medication adherence for virologic success among individuals living with HIV/AIDS: Experience with the CNS HIV Antiretroviral Therapy Effects Research (CHARTER) cohort. J HIV AIDS Soc Serv 2014; 13(1): 8-25.
[http://dx.doi.org/10.1080/15381501.2013.859111] [PMID: 24678283]
[34]
Tyer-Viola LA, Corless IB, Webel A, Reid P, Sullivan KM, Nichols P. Predictors of medication adherence among HIV-positive women in North America. J Obstet Gynecol Neonatal Nurs 2014; 43(2): 168-78.
[http://dx.doi.org/10.1111/1552-6909.12288] [PMID: 24502460]
[35]
Mukui IN, Ng’ang’a L, Williamson J, et al. Rates and Predictors of Non-Adherence to Antiretroviral Therapy among HIV-Positive Individuals in Kenya: Results from the Second Kenya AIDS Indicator Survey, 2012. PLoS One 2016; 11(12)e0167465
[http://dx.doi.org/10.1371/journal.pone.0167465] [PMID: 27907114]
[36]
Vitalis D. Predicting adherence to antiretroviral therapy among pregnant women in Guyana: Utility of the Health Belief Model. Int J STD AIDS 2017; 28(8): 756-65.
[http://dx.doi.org/10.1177/0956462416665989] [PMID: 27572929]
[37]
Oku AO, Owoaje ET, Oku OO, Monjok E. Prevalence and determinants of adherence to highly active antiretroviral therapy amongst people living with HIV/AIDS in a rural setting in south-south Nigeria. Afr J Reprod Health 2014; 18(1): 133-43.
[PMID: 24796178]
[38]
Degroote S, Vogelaers D, Vermeir P, et al. Determinants of adherence in a cohort of Belgian HIV patients: a pilot study. Acta Clin Belg 2014; 69(2): 111-5.
[http://dx.doi.org/10.1179/0001551214Z.00000000035] [PMID: 24724750]
[39]
Anuradha S, Joshi A, Negi M, Nischal N, Rajeshwari K, Dewan R. Factors influencing adherence to ART: New insights from a center providing free ART under the national program in Delhi, India. J Int Assoc Provid AIDS Care 2013; 12(3): 195-201.
[http://dx.doi.org/10.1177/1545109711431344] [PMID: 22247335]
[40]
Dworkin MS, Douglas GW, Sabitha Rani GP, Chakraborty A. Adherence to highly active antiretroviral therapy in Hyderabad, India: barriers, facilitators and identification of target groups. Int J STD AIDS 2016; 27(3): 186-95.
[http://dx.doi.org/10.1177/0956462415578545] [PMID: 25801316]
[41]
Nuredin NA. Adherence to Antiretroviral Therapy and Associated Factors Among Adult ARV Users in Arba Minch Hospital, Southern Ethiopia. Central African Journal of Public Health 2017; 3(2): 19-26.
[http://dx.doi.org/10.11648/j.cajph.20170302.12]
[42]
Mitiku H, Abdosh T, Teklemariam Z. Factors affecting adherence to antiretroviral treatment in harari national regional state, eastern ethiopia. ISRN AIDS 2013; 2013960954
[http://dx.doi.org/10.1155/2013/960954] [PMID: 24052892]
[43]
Avong YK, van Wyk B, Njab J, et al. Adherence to Anti-Retroviral Therapy in North Central Nigeria. Curr HIV Res 2015; 13(4): 268-78.
[http://dx.doi.org/10.2174/1570162X13666150202094120] [PMID: 25642849]
[44]
Seyoum A, Ndlovu P, Temesgen Z. Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region). AIDS Res Ther 2017; 14(1): 14.
[http://dx.doi.org/10.1186/s12981-017-0141-3] [PMID: 28302125]
[45]
Traeger L, O’Cleirigh C, Skeer MR, Mayer KH, Safren SA. Risk factors for missed HIV primary care visits among men who have sex with men. J Behav Med 2012; 35(5): 548-56.
[http://dx.doi.org/10.1007/s10865-011-9383-z] [PMID: 22068878]
[46]
Lyimo RA, Stutterheim SE, Hospers HJ, de Glee T, van der Ven A, de Bruin M. Stigma, disclosure, coping, and medication adherence among people living with HIV/AIDS in Northern Tanzania. AIDS Patient Care STDS 2014; 28(2): 98-105.
[http://dx.doi.org/10.1089/apc.2013.0306] [PMID: 24517541]
[47]
Shet A, Kumarasamy N, Poongulali S, et al. Longitudinal Analysis of Adherence to First-Line Antiretroviral Therapy: Evidence of Treatment Sustainability from an Indian HIV Cohort. Curr HIV Res 2016; 14(1): 71-9.
[http://dx.doi.org/10.2174/1570162X13666150825123750] [PMID: 26303008]
[48]
Gebrezgabher BB, Kebede Y, Kindie M, Tetemke D, Abay M, Gelaw YA. Determinants to antiretroviral treatment non-adherence among adult HIV/AIDS patients in northern Ethiopia. AIDS Res Ther 2017; 14: 16.
[http://dx.doi.org/10.1186/s12981-017-0143-1] [PMID: 28331527]
[49]
Nakimuli-Mpungu E, Mojtabai R, Alexandre PK, et al. Lifetime depressive disorders and adherence to anti-retroviral therapy in HIV-infected Ugandan adults: a case-control study. J Affect Disord 2013; 145(2): 221-6.
[http://dx.doi.org/10.1016/j.jad.2012.08.002] [PMID: 23017542]
[50]
Berhe N, Tegabu D, Alemayehu M. Effect of nutritional factors on adherence to antiretroviral therapy among HIV-infected adults: a case control study in Northern Ethiopia. BMC Infect Dis 2013; 13(1): 233.
[http://dx.doi.org/10.1186/1471-2334-13-233] [PMID: 23701864]
[51]
Idindil B, Jullu B, Mugusi F, Tanner M. A case-control study of factors associated with non-adherent to antiretroviral therapy among HIV infected people in Pwani Region, eastern Tanzania. Tanzan J Health Res 2012; 14(3): 194-203.
[http://dx.doi.org/10.4314/thrb.v14i3.6] [PMID: 26591757]
[52]
Kebaabetswe PM, Stirratt MJ, McLellan-Lemal E, et al. Factors Associated with Adherence and Concordance Between Measurement Strategies in an HIV Daily Oral Tenofovir/Emtricitibine as Pre-exposure Prophylaxis (Prep) Clinical Trial, Botswana, 2007-2010. AIDS Behav 2015; 19(5): 758-69.
[http://dx.doi.org/10.1007/s10461-014-0891-z] [PMID: 25186785]
[53]
Kim S-H, Gerver SM, Fidler S, Ward H. Adherence to antiretroviral therapy in adolescents living with HIV: systematic review and meta-analysis. AIDS 2014; 28(13): 1945-56.
[http://dx.doi.org/10.1097/QAD.0000000000000316] [PMID: 24845154]
[54]
Nabukeera-Barungi N, Elyanu P, Asire B, et al. Adherence to antiretroviral therapy and retention in care for adolescents living with HIV from 10 districts in Uganda. BMC Infect Dis 2015; 15: 520.
[http://dx.doi.org/10.1186/s12879-015-1265-5] [PMID: 26573923]
[55]
Barclay TR, Hinkin CH, Castellon SA, Mason KI, Reinhard MJ, Marion SD, et al. Age-Associated Predictors of Medication Adherence in HIV-Positive Adults: Health Beliefs, Self-Efficacy, and Neurocognitive Status. Health psychology : official journal of the Division of Health Psychology American Psychological Association 2007; 26(1): 40-9.
[http://dx.doi.org/10.1037/0278-6133.26.1.40]
[56]
Catz SL, McClure JB, Jones GN, Brantley PJ. Predictors of outpatient medical appointment attendance among persons with HIV. AIDS Care 1999; 11(3): 361-73.
[http://dx.doi.org/10.1080/09540129947983] [PMID: 10474634]
[57]
Avong YK, van Wyk B, Njab J, et al. A Blattner W. Adherence to anti-retroviral therapy in north central Nigeria. Curr HIV Res 2015; 13(4): 268-78.
[http://dx.doi.org/10.2174/1570162X13666150202094120] [PMID: 25642849]
[58]
Sherr L, Lampe FC, Clucas C, et al. Self-reported non-adherence to ART and virological outcome in a multiclinic UK study. AIDS Care 2010; 22(8): 939-45.
[http://dx.doi.org/10.1080/09540121.2010.482126] [PMID: 20574863]
[59]
Israelski D, Gore-Felton C, Power R, Wood MJ, Koopman C. Sociodemographic characteristics associated with medical appointment adherence among HIV-seropositive patients seeking treatment in a county outpatient facility. Prev Med 2001; 33(5): 470-5.
[http://dx.doi.org/10.1006/pmed.2001.0917] [PMID: 11676589]
[60]
Orrell C, Bangsberg DR, Badri M, Wood R. Adherence is not a barrier to successful antiretroviral therapy in South Africa. AIDS 2003; 17(9): 1369-75.
[http://dx.doi.org/10.1097/00002030-200306130-00011] [PMID: 12799558]
[61]
Mehta S, Moore RD, Graham NM. Potential factors affecting adherence with HIV therapy. AIDS 1997; 11(14): 1665-70.
[http://dx.doi.org/10.1097/00002030-199714000-00002] [PMID: 9386800]
[62]
Poudel P, Carryer J. Girl-trafficking, HIV/AIDS, and the position of women in Nepal. Gend Dev 2000; 8(2): 74-9.
[http://dx.doi.org/10.1080/741923626] [PMID: 12296154]
[63]
Smith-Estelle A, Gruskin S. Vulnerability to HIV/STIs among rural women from migrant communities in Nepal: A health and human rights framework. Reprod Health Matters 2003; 11(22): 142-51.
[http://dx.doi.org/10.1016/S0968-8080(03)02292-4] [PMID: 14708405]
[64]
de Guzman A. Reducing social vulnerability to HIV/AIDS: Models of care and their impact in resource-poor settings. AIDS Care 2001; 13(5): 663-75.
[http://dx.doi.org/10.1080/09540120120063287] [PMID: 11571013]
[65]
Nicastri E, Leone S, Angeletti C, et al. Sex issues in HIV-1-infected persons during highly active antiretroviral therapy: a systematic review. J Antimicrob Chemother 2007; 60(4): 724-32.
[http://dx.doi.org/10.1093/jac/dkm302] [PMID: 17715125]
[66]
Hirsch JS. Gender, sexuality, and antiretroviral therapy: using social science to enhance outcomes and inform secondary prevention strategies. AIDS 2007; 21(Suppl. 5): S21-9.
[http://dx.doi.org/10.1097/01.aids.0000298099.48990.99] [PMID: 18090264]
[67]
Carr RL, Gramling LF. Stigma: A health barrier for women with HIV/AIDS. J Assoc Nurses AIDS Care 2004; 15(5): 30-9.
[http://dx.doi.org/10.1177/1055329003261981] [PMID: 15358923]
[68]
Nguyen TA, Oosterhoff P, Ngoc YP, Wright P, Hardon A. Barriers to access prevention of mother-to-child transmission for HIV positive women in a well-resourced setting in Vietnam. AIDS Res Ther 2008; 5(1): 7.
[http://dx.doi.org/10.1186/1742-6405-5-7] [PMID: 18419808]
[69]
Abah IO, Ncube NBQ, Bradley HA. AgbaJi OO, Kanki P. Antiretroviral Therapy-associated Adverse Drug Reactions and their Effects on Virologic Failure- A Retrospective Cohort Study in Nigeria. Curr HIV Res 2018; 16(6): 436-46.
[http://dx.doi.org/10.2174/1389450120666190214144609] [PMID: 30767743]
[70]
Cescon A, Patterson S, Chan K, et al. CANOC Collaboration. Gender differences in clinical outcomes among HIV-positive individuals on antiretroviral therapy in Canada: a multisite cohort study. PLoS One 2013; 8(12)e83649
[http://dx.doi.org/10.1371/journal.pone.0083649] [PMID: 24391803]
[71]
Chen M, Dou Z, Wang L, et al. Gender Differences in Outcomes of Antiretroviral Treatment Among HIV-Infected Patients in China: A Retrospective Cohort Study, 2010-2015. J Acquir Immune Defic Syndr 2017; 76(3): 281-8.
[http://dx.doi.org/10.1097/QAI.0000000000001500] [PMID: 28708809]
[72]
Patterson S, Cescon A, Samji H, et al. Cohort profile: HAART observational medical evaluation and research (HOMER) cohort. Int J Epidemiol 2015; 44(1): 58-67.
[http://dx.doi.org/10.1093/ije/dyu046] [PMID: 24639444]
[73]
Sasaki Y, Kakimoto K, Dube C, et al. Adherence to antiretroviral therapy (ART) during the early months of treatment in rural Zambia: influence of demographic characteristics and social surroundings of patients. Ann Clin Microbiol Antimicrob 2012; 11(1): 34.
[http://dx.doi.org/10.1186/1476-0711-11-34] [PMID: 23270312]
[74]
Rougemont M, Stoll BE, Elia N, Ngang P. Antiretroviral treatment adherence and its determinants in Sub-Saharan Africa: A prospective study at Yaounde Central Hospital, Cameroon. AIDS Res Ther 2009; 6(1): 21.
[http://dx.doi.org/10.1186/1742-6405-6-21] [PMID: 19821997]
[75]
Kelly A, Worth H, Man N, et al. Barriers and facilitators for adherence to antiretroviral therapy in Papua New Guinea. Curr HIV Res 2010; 8(8): 630-7.
[http://dx.doi.org/10.2174/157016210794088191] [PMID: 20946092]
[76]
Ware NC, Idoko J, Kaaya S, et al. Explaining adherence success in sub-Saharan Africa: an ethnographic study. PLoS Med 2009; 6(1)e11
[http://dx.doi.org/10.1371/journal.pmed.1000011] [PMID: 19175285]
[77]
Watt MH, Maman S, Earp JA, et al. “It’s all the time in my mind”: facilitators of adherence to antiretroviral therapy in a Tanzanian setting. Soc Sci Med 2009; 68(10): 1793-800.
[http://dx.doi.org/10.1016/j.socscimed.2009.02.037] [PMID: 19328609]
[78]
Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Aff (Millwood) 2002; 21(2): 60-76.
[http://dx.doi.org/10.1377/hlthaff.21.2.60] [PMID: 11900187]
[79]
Putnam R. Bowling alone: The collapse and revival of American community. New York: Touchstone 2000.
[80]
Boyer S, Clerc I, Bonono CR, Marcellin F, Bilé PC, Ventelou B. Non-adherence to antiretroviral treatment and unplanned treatment interruption among people living with HIV/AIDS in Cameroon: Individual and healthcare supply-related factors. Soc Sci Med 2011; 72(8): 1383-92.
[http://dx.doi.org/10.1016/j.socscimed.2011.02.030] [PMID: 21470734]
[81]
Agbaji OO, Abah IO, Falang KD, et al. Treatment discontinuation in adult HIV-infected patients on first-line antiretroviral therapy in Nigeria. Curr HIV Res 2015; 13(3): 184-92.
[http://dx.doi.org/10.2174/1570162X1303150506181945] [PMID: 25986369]
[82]
Rabkin JG, Chesney MA. Adhering to complex regimens for HIV. GMHC Treat Issues 1998; 12(4): 8-11.
[PMID: 11365401]
[83]
Johnson VR, Jacobson KL, Gazmararian JA, Blake SC. Does social support help limited-literacy patients with medication adherence? A mixed methods study of patients in the Pharmacy Intervention for Limited Literacy (PILL) study. Patient Educ Couns 2010; 79(1): 14-24.
[http://dx.doi.org/10.1016/j.pec.2009.07.002] [PMID: 19647967]
[84]
Barclay TR, Hinkin CH, Castellon SA, et al. Age-associated predictors of medication adherence in HIV-positive adults: health beliefs, self-efficacy, and neurocognitive status. Health Psychol 2007; 26(1): 40-9.
[http://dx.doi.org/10.1037/0278-6133.26.1.40] [PMID: 17209696]
[85]
Traube DE, Holloway IW, Smith L. Theory development for HIV behavioral health: empirical validation of behavior health models specific to HIV risk. AIDS Care 2011; 23(6): 663-70.
[http://dx.doi.org/10.1080/09540121.2010.532532] [PMID: 21347886]
[86]
Magnus CM, Kowalski KC, McHugh TL. The role of self-compassion in women’s self-determined motives to exercise and exercise-related outcomes. Self Ident 2010; 9(4): 363-82.
[http://dx.doi.org/10.1080/15298860903135073]
[87]
Skovdal M, Campbell C, Nhongo K, Nyamukapa C, Gregson S. Contextual and psychosocial influences on antiretroviral therapy adherence in rural Zimbabwe: towards a systematic framework for programme planners. Int J Health Plann Manage 2011; 26(3): 296-318.
[http://dx.doi.org/10.1002/hpm.1082] [PMID: 21744381]
[88]
Kip E, Ehlers VJ, van der Wal DM. Patients’ adherence to anti-retroviral therapy in Botswana. J Nurs Scholarsh 2009; 41(2): 149-57.
[http://dx.doi.org/10.1111/j.1547-5069.2009.01266.x] [PMID: 19538699]
[89]
Neff KD, Vonk R. Self-compassion versus global self-esteem: two different ways of relating to oneself. J Pers 2009; 77(1): 23-50.
[http://dx.doi.org/10.1111/j.1467-6494.2008.00537.x] [PMID: 19076996]
[90]
Vyavaharkar M, Moneyham L, Murdaugh C, Tavakoli A. Factors associated with quality of life among rural women with HIV disease. AIDS Behav 2012; 16(2): 295-303.
[http://dx.doi.org/10.1007/s10461-011-9917-y] [PMID: 21380494]
[91]
Kleeberger CA, Phair JP, Strathdee SA, Detels R, Kingsley L, Jacobson LP. Determinants of heterogeneous adherence to HIV-antiretroviral therapies in the Multicenter AIDS Cohort Study. J Acquir Immune Defic Syndr 2001; 26(1): 82-92.
[http://dx.doi.org/10.1097/00042560-200101010-00012] [PMID: 11176272]
[92]
Fumaz CR, Muñoz-Moreno JA, Moltó J, et al. Sustained antiretroviral treatment adherence in survivors of the pre-HAART era: Attitudes and beliefs. AIDS Care 2008; 20(7): 796-805.
[http://dx.doi.org/10.1080/09540120701694022] [PMID: 18728987]
[93]
Royal SW, Kidder DP, Patrabansh S, et al. Factors associated with adherence to highly active antiretroviral therapy in homeless or unstably housed adults living with HIV. AIDS Care 2009; 21(4): 448-55.
[http://dx.doi.org/10.1080/09540120802270250] [PMID: 19401865]
[94]
Sarna A, Pujari S, Sengar AK, Garg R, Gupta I, Dam Jv. Adherence to antiretroviral therapy & its determinants amongst HIV patients in India. Indian J Med Res 2008; 127(1): 28-36.
[PMID: 18316850]
[95]
Johnson VR, Jacobson KL, Gazmararian JA, Blake SC. Does social support help limited-literacy patients with medication adherence? A mixed methods study of patients in the Pharmacy Intervention for Limited Literacy (PILL) study. Patient Educ Couns 2010; 79(1): 14-24.
[http://dx.doi.org/10.1016/j.pec.2009.07.002] [PMID: 19647967]
[96]
Coker M, Etiebet MA, Chang H, et al. Socio-demographic and adherence factors associated with viral load suppression in HIV-infected adults initiating therapy in northern Nigeria: a randomized controlled trial of a peer support intervention. Curr HIV Res 2015; 13(4): 279-85.
[http://dx.doi.org/10.2174/1570162X13666150407143838] [PMID: 25845393]
[97]
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): 661-5.
[http://dx.doi.org/10.1111/j.1525-1497.2006.00399.x] [PMID: 16808754]
[98]
Fischer MJ, Scharloo M, Abbink JJ, et al. Drop-out and attendance in pulmonary rehabilitation: the role of clinical and psychosocial variables. Respir Med 2009; 103(10): 1564-71.
[http://dx.doi.org/10.1016/j.rmed.2008.11.020] [PMID: 19481919]
[99]
Fong OW, Ho CF, Fung LY, et al. Determinants of adherence to highly active antiretroviral therapy (HAART) in Chinese HIV/AIDS patients. HIV Med 2003; 4(2): 133-8.
[http://dx.doi.org/10.1046/j.1468-1293.2003.00147.x] [PMID: 12702134]
[100]
Rachlis BS, Mills EJ, Cole DC. Livelihood security and adherence to antiretroviral therapy in low and middle income settings: A systematic review. PLoS One 2011; 6(5)e18948
[http://dx.doi.org/10.1371/journal.pone.0018948] [PMID: 21589911]
[101]
World Data Atlas. World and regional statistics, national data, maps, and rankings, Knoema. 2017.Available from:. https://knoema.com/atlas [Accessed on: 22 Dec 2017].

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