IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0146659.html
   My bibliography  Save this article

Comparisons of Adherence to Antiretroviral Therapy in a High- Risk Population in China: A Systematic Review and Meta-Analysis

Author

Listed:
  • Zhou Huan
  • Wang Fuzhi
  • Liu Lu
  • Zhang Min
  • Chen Xingzhi
  • Jin Shiyang

Abstract

Background: Reports on antiretroviral therapy (ART) adherence are scare in China; we performed this meta-analysis to estimate ART adherence rates in different populations at high risk for HIV transmission in China. Methods: We searched PubMed, Chinese Biomedical Literature Database (Chinese), China National Knowledge Infrastructure (Chinese), and Wanfang (Chinese) to identify studies published from January 1985 to May 2015. We used random-effects meta-analysis to calculate weighted mean estimates across studies and 95% CIs. Data were pooled with proportions transformed prior to pooling using the Freeman–Tukey double arcsine transformation and then back transformed to the original scale. We calculated the I2 (and its 95% confidence intervals) and tau2 to assess between-study heterogeneity. Results: We identified 36 eligible articles, including 6885 HIV-positive individuals, reporting ART adherence. Pooled analysis produced an estimate of 77.61% (95% CI = 71.63–83.08) of patients with HIV with adequate adherence; however, high heterogeneity was observed between studies (I2 = 96.60%, 95%CI = 96.00%-97.20%; tau2 = 0.16). Three studies, which included 149 old HIV-infected patients, reported the highest ART adequate adherence rate (89.39%, 95% CI = 72.01–99.26) with high heterogeneity between the studies (I2 = 86.20%, 95%CI = 60.00–95.20%; tau2 = 0.13). While, only two studies, which included 143 heterosexual transmission group (HTG) patients, reported the lowest ART adequate adherence rate (51.55%, 95% CI = 41.33–61.71) with low heterogeneity between the studies (I2 = 31.3%, tau2 = 0.007). In the multivariable meta-regression model, high-risk populations was the main factor explaining heterogeneity (variance explained 28.14%). Conclusions: ART adherence in some high-risk populations (e.g., heterosexual transmission group) is below the recommended levels for maintaining virologic suppression. It is crucial to develop comprehensive intervention strategies to promote ART adherence in high-risk populations and effectively prevent the spread of HIV/AIDS in China.

Suggested Citation

  • Zhou Huan & Wang Fuzhi & Liu Lu & Zhang Min & Chen Xingzhi & Jin Shiyang, 2016. "Comparisons of Adherence to Antiretroviral Therapy in a High- Risk Population in China: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0146659
    DOI: 10.1371/journal.pone.0146659
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0146659
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0146659&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0146659?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Evangelos Kontopantelis & David A Springate & David Reeves, 2013. "A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Filipe Manuel Clemente & Rodrigo Ramirez-Campillo & José Afonso & Hugo Sarmento & Thomas Rosemann & Beat Knechtle, 2021. "A Meta-Analytical Comparison of the Effects of Small-Sided Games vs. Running-Based High-Intensity Interval Training on Soccer Players’ Repeated-Sprint Ability," IJERPH, MDPI, vol. 18(5), pages 1-11, March.
    2. Xiaoli Hua & Lili Yu & Ruxu You & Yu Yang & Jing Liao & Dongsheng Chen & Lixiu Yu, 2016. "Association among Dietary Flavonoids, Flavonoid Subclasses and Ovarian Cancer Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    3. Zhihua Ye & Xin Zhang & Yihuan Luo & Shikang Li & Lanshan Huang & Zuyun Li & Ping Li & Gang Chen, 2016. "Prognostic Values of Vimentin Expression and Its Clinicopathological Significance in Non-Small Cell Lung Cancer: A Meta-Analysis of Observational Studies with 4118 Cases," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-17, September.
    4. Yan Wang & Lan Huang & Li Zhang & Yi Qu & Dezhi Mu, 2017. "Iron Status in Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    5. Lara Carneiro & José Afonso & Rodrigo Ramirez-Campillo & Eugenia Murawska-Ciałowciz & Adilson Marques & Filipe Manuel Clemente, 2020. "The Effects of Exclusively Resistance Training-Based Supervised Programs in People with Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 17(18), pages 1-22, September.
    6. Ogundeji, Yewande Kofoworola & Bland, John Martin & Sheldon, Trevor Andrew, 2016. "The effectiveness of payment for performance in health care: A meta-analysis and exploration of variation in outcomes," Health Policy, Elsevier, vol. 120(10), pages 1141-1150.
    7. Min Wen & Bo Zhou & Yun-Hua Chen & Zhao-Lei Ma & Yun Gou & Chun-Lin Zhang & Wen-Feng Yu & Ling Jiao, 2017. "Serum uric acid levels in patients with Parkinson’s disease: A meta-analysis," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    8. Tseday Jemaneh Mekasha & Finn Tarp, 2019. "A Meta-Analysis of Aid Effectiveness: Revisiting the Evidence," Politics and Governance, Cogitatio Press, vol. 7(2), pages 5-28.
    9. Rodolfo Castro & Hugo Perazzo & Letícia Artilles Mello Mendonça de Araujo & Isabella Gonçalves Gutierres & Beatriz Grinsztejn & Valdiléa G Veloso, 2020. "Effectiveness of implementing a decentralized delivery of hepatitis C virus treatment with direct-acting antivirals: A systematic review with meta-analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-14, February.
    10. Diandian Li & Yi Liu & Bo Wang, 2020. "Single versus bilateral lung transplantation in idiopathic pulmonary fibrosis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    11. Martina Lori & Sarah Symnaczik & Paul Mäder & Gerlinde De Deyn & Andreas Gattinger, 2017. "Organic farming enhances soil microbial abundance and activity—A meta-analysis and meta-regression," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-25, July.
    12. Falonn Contreras-Osorio & Rodrigo Ramirez-Campillo & Enrique Cerda-Vega & Rodrigo Campos-Jara & Cristian Martínez-Salazar & Rodrigo Araneda & Daniela Ebner-Karestinos & Cristián Arellano-Roco & Christ, 2022. "Effects of Sport-Based Exercise Interventions on Executive Function in Older Adults: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    13. Pablo Valdés-Badilla & Tomás Herrera-Valenzuela & Rodrigo Ramirez-Campillo & Esteban Aedo-Muñoz & Eduardo Báez-San Martín & Alex Ojeda-Aravena & Braulio Henrique Magnani Branco, 2021. "Effects of Olympic Combat Sports on Older Adults’ Health Status: A Systematic Review," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    14. Alícia Dorneles Dornelles & Osvaldo Artigalás & André Anjos da Silva & Dora Lucia Vallejo Ardila & Taciane Alegra & Tiago Veiga Pereira & Filippo Pinto e Vairo & Ida Vanessa Doederlein Schwartz, 2017. "Efficacy and safety of intravenous laronidase for mucopolysaccharidosis type I: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-18, August.
    15. Carmen Gasca-Salas & Mario Masellis & Edwin Khoo & Binit B Shah & David Fisman & Anthony E Lang & Galit Kleiner-Fisman, 2016. "Characterization of Movement Disorder Phenomenology in Genetically Proven, Familial Frontotemporal Lobar Degeneration: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-20, April.
    16. Shuangge Liu & Xiaoyan Xin & Teng Hua & Rui Shi & Shuqi Chi & Zhishan Jin & Hongbo Wang, 2016. "Efficacy of Anti-VEGF/VEGFR Agents on Animal Models of Endometriosis: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    17. Ming Yang & WenWen Guo & ChunSheng Yang & JianQin Tang & Qian Huang & ShouXin Feng & AiJun Jiang & XiFeng Xu & Guan Jiang, 2017. "Mobile phone use and glioma risk: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-13, May.
    18. Weber, Frank & Knapp, Guido & Glass, Anne & Kundt, Günther & Ickstadt, Katja, 2020. "Interval estimation of the overall treatment effect in random-effects meta-analyses: Recommendations from a simulation study comparing frequentist, Bayesian, and bootstrap methods," OSF Preprints 5zbh6, Center for Open Science.
    19. Antonio Bernabe-Ortiz & Andrea Ruiz-Alejos & J Jaime Miranda & Rohini Mathur & Pablo Perel & Liam Smeeth, 2017. "EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-11, October.
    20. Neesha Rockwood & Leila H Abdullahi & Robert J Wilkinson & Graeme Meintjes, 2015. "Risk Factors for Acquired Rifamycin and Isoniazid Resistance: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-23, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0146659. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.