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Cited by 394

The DOI matches its Crossref record; 204 of the 204 references it cites were found in a registry or an index.

Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis

Open access
Langebeek, Nienke, Gisolf, Elizabeth H, Reiss, Peter, Vervoort, Sigrid C, Hafsteinsdóttir, Thóra B, Richter, Clemens, Sprangers, Mirjam AG, Nieuwkerk, Pythia T·2014·BMC Medicine
DOI 10.1186/s12916-014-0142-1
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Abstract

Adherence to combination antiretroviral therapy (ART) is a key predictor of the success of human immunodeficiency virus (HIV) treatment, and is potentially amenable to intervention. Insight into predictors or correlates of non-adherence to ART may help guide targets for the development of adherence-enhancing interventions. Our objective was to review evidence on predictors/correlates of adherence to ART, and to aggregate findings into quantitative estimates of their impact on adherence. We searched PubMed for original English-language papers, published between 1996 and June 2014, and the reference lists of all relevant articles found. Studies reporting on predictors/correlates of adherence of adults prescribed ART for chronic HIV infection were included without restriction to adherence assessment method, study design or geographical location. Two researchers independently extracted the data from the same papers. Random effects models with inverse variance weights were used to aggregate findings into pooled effects estimates with 95% confidence intervals. The standardized mean difference (SMD) was used as the common effect size. The impact of study design features (adherence assessment method, study design, and the United Nations Human Development Index (HDI) of the country in which the study was set) was investigated using categorical mixed effects meta-regression. In total, 207 studies were included. The following predictors/correlates were most strongly associated with adherence: adherence self-efficacy (SMD = 0.603, P = 0.001), current substance use (SMD = -0.395, P = 0.001), concerns about ART (SMD = -0.388, P = 0.001), beliefs about the necessity/utility of ART (SMD = 0.357, P = 0.001), trust/satisfaction with the HIV care provider (SMD = 0.377, P = 0.001), depressive symptoms (SMD = -0.305, P = 0.001), stigma about HIV (SMD = -0.282, P = 0.001), and social support (SMD = 0.237, P = 0.001). Smaller but significant associations were observed for the following being prescribed a protease inhibitor-containing regimen (SMD = -0.196, P = 0.001), daily dosing frequency (SMD = -0.193, P = 0.001), financial constraints (SMD -0.187, P = 0.001) and pill burden (SMD = -0.124, P = 0.001). Higher trust/satisfaction with the HIV care provider, a lower daily dosing frequency, and fewer depressive symptoms were more strongly related with higher adherence in low and medium HDI countries than in high HDI countries. These findings suggest that adherence-enhancing interventions should particularly target psychological factors such as self-efficacy and concerns/beliefs about the efficacy and safety of ART. Moreover, these findings suggest that simplification of regimens might have smaller but significant effects.

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Crossref · 10.1186/s12916-014-0142-1

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Citations

Cites

Show all 204 references

Research works printed but not linked: 24

  1. Cohen J: Statistical Power Analysis for the Behavioural Sciences. 1988, Erlbaum, Mahwah, NJ
  2. Cahn P, Vibhagool A, Schechter M, Soto-Ramirez L, Carosi G, Smaill F, Jordan JC, Pharo CE, Thomas NE, Steel HM: Predictors of adherence and virologic outcome in HIV-infected patients treated with abacavir- or indinavir-based triple combination HAART also containing lamivudine/zidovudine. Curr Med Res Opinion. 2004, 20: 1115-1123. · doi:10.1185/030079904125004051
  3. Carmody ER, Diaz T, Starling P, Rocha Beruth dos Santos AP, Sacks HS: An evaluation of antiretroviral HIV/AIDS treatment in a Rio de Janeiro public clinic. Trop Med Int Health. 2003, 8: 378-385. · doi:10.1046/j.1365-3156.2003.01046.x
  4. Cauldbeck MB, O'Connor C, O'Connor MB, Saunders JA, Rao B, Mallesh VG, Praveen Kumar NK, Mamtha G, McGoldrick C, Laing RB, Satish KS: Adherence to anti-retroviral therapy among HIV patients in Bangalore, India. AIDS Res Ther. 2009, 6: 7. · doi:10.1186/1742-6405-6-7
  5. Falang KD, Akubaka P, Jimam NS: Patient factors impacting antiretroviral drug adherence in a Nigerian tertiary hospital. J Pharmacol Pharmacother. 2012, 3: 138-142.
  6. Gianotti N, Galli L, Bocchiola B, Cahua T, Panzini P, Zandona D, Salpietro S, Maillard M, Danise A, Pazzi A, Lazzarin A, Castagna A: Number of daily pills, dosing schedule, self-reported adherence and health status in 2010: a large cross-sectional study of HIV-infected patients on antiretroviral therapy. HIV Med. 2013, 14: 153-160. · doi:10.1111/j.1468-1293.2012.01046.x
  7. Giday A, Shiferaw W: Factors affecting adherence of antiretroviral treatment among AIDS patietns in an Ethiopian tertiary university teaching hospital. Ethiop Med J. 2010, 48: 187-194.
  8. Gokarn A, Narkhede MG, Pardeshi GS, Doibale MK: Adherence to antiretroviral therapy. J Assoc Physicians India. 2012, 60: 16-20.
  9. Huynh AK, Kinsler JJ, Cunningham WE, Sayles JN: The role of mental health in mediating the relationship between social support and optimal ART adherence. AIDS Care. 2013, 25: 1179-1184. · doi:10.1080/09540121.2012.752787
  10. Ladefoged K, Andersson M, Koch A, Rendal T, Rydbacken M: Living conditions, quality of life, adherence and treatment outcome in Greenlandic HIV patients. Int J Circumpolar Health. 2012, 71: 18639. · doi:10.3402/ijch.v71i0.18639
  11. Leombruni P, Fassino S, Lavagnino L, Orofino G, Morosini P, Picardi A: The role of anger in adherence to highly active antiretroviral treatment in patients infected with HIV. Psychother Psychosom. 2009, 78: 254-257. · doi:10.1159/000219525
  12. Maqutu D, Zewotir T, North D, Naidoo K, Grobler A: Determinants of optimal adherence over time to antiretroviral therapy amongst HIV positive adults in South Africa: a longitudinal study. AIDS Behav. 2011, 15: 1465-1474. · doi:10.1007/s10461-010-9688-x
  13. McAllister J, Beadsworth G, Lavie E, MacRae K, Carr A: Financial stress is associated with reduced treatment adherence in HIV-infected adults in a resource-rich setting. HIV Med. 2013, 14: 120-124. · doi:10.1111/j.1468-1293.2012.01034.x
  14. Moralejo L, Inés S, Marcos M, Fuertes A, Luna G: Factors influencing adherence to highly active antiretroviral therapy in Spain. Curr HIV Res. 2006, 4: 221-227. · doi:10.2174/157016206776055075
  15. Nakimuli-Mpungu E, Mutamba B, Othengo M, Musisi S: Psychological distress and adherence to highly active anti-retroviral therapy (HAART) in Uganda: a pilot study. Afr Health Sci. 2009, 9: 2-7.
  16. Nilsson Schönnesson L, Diamond PM, Ross MW, Williams M, Bratt G: Baseline predictors of three types of antiretroviral therapy (ART) adherence: a 2-year follow-up. AIDS Care. 2006, 18: 246-253. · doi:10.1080/09540120500456631
  17. O’Connor JL, Gardner EM, Mannheimer SB, Lifson AR, Esser S, Telzak EE, Phillips AN: Factors associated with adherence amongst 5295 people receiving antiretroviral therapy as part of an international trial. J Infect Dis. 2013, 208: 40-49. · doi:10.1093/infdis/jis731
  18. 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: 133-143.
  19. Plankey P, Bacchetti P, Jin C, Grimes B, Hyman C, Cohen M, Howard AA, Tien PC: Self-perception of body fat changes and HAART adherence in the women’s interagency HIV study. AIDS Behav. 2009, 13: 53-59. · doi:10.1007/s10461-008-9444-7
  20. Seguy N, Diaz T, Pereira Campos D, Veloso VG, Grinsztejin B, Teixeira L, Pillotto JH: Evaluation of the consistency of refills for antiretroviral medications in two hospitals in the state of Rio de Janeiro, Brazil. AIDS Care. 2007, 19: 617-625. · doi:10.1080/09540120600787356
  21. Sellier P, Clevenbergh P, Ljubicic L, Simoneau G, Evans J, Delcey V, Diemer M, Bendenoun M, Mouly S, Bergmann JF: Comparative evaluation of adherence to antiretroviral therapy in sub-saharan African native HIV-infected patients in France and Africa. Clin Infect Dis. 2006, 43: 654-657. · doi:10.1086/506436
  22. Tadios Y, Davey G: Antiretroviral treatment adherence and its correlates in Addis Ababa, Ethiopia. Ethiop Med J. 2006, 44: 237-244.
  23. Trotta MP, Ammassari A, Cozzi-Lepri A, Zaccarelli M, Castelli F, Narciso P, Melzi S, De Luca A, Monforte AD, Antinori A: Adherence to highly active antiretroviral therapy is better in patients receiving non-nucleoside reverse transcriptase inhibitor-containing regimens than in those receiving protease inhibitor-containing regimens. AIDS. 2003, 17: 1099-1102. · doi:10.1097/00002030-200305020-00026
  24. Wanchu A, Kaur R, Bambery P, Singh S: Adherence to generic reverse transcriptase inhibitor-based antiretroviral medication at a tertiary center in north India. AIDS Behav. 2007, 11: 99-102. · doi:10.1007/s10461-006-9101-y

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Metadata

Authors
Langebeek, N., Gisolf, E. H., Reiss, P., Vervoort, S. C., Hafsteinsdóttir, T. B., Richter, C., Sprangers, M. A., & Nieuwkerk, P. T.
Venue
BMC Medicine
Publisher
Springer Science and Business Media LLC
Published
2014-08-21
Volume
12
Issue
1
ISSN
1741-7015 (ISSN-L)
DOI
10.1186/s12916-014-0142-1
OpenAlex
W4294113326
Cited by
394
References
204
FWCI
5.13
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0 (unspecified)

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CoChat. (2026). Citation check: Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. https://app.cochat.ai/papers/10.1186/s12916-014-0142-1
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Langebeek, N., Gisolf, E. H., Reiss, P., Vervoort, S. C., Hafsteinsdóttir, T. B., Richter, C., Sprangers, M. A., & Nieuwkerk, P. T. (2014). Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Medicine. https://doi.org/10.1186/s12916-014-0142-1

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