Effects of telehealth-assisted interventions among people living with HIV/AIDS: A systematic review and meta-analysis of randomized controlled studies

1. UNAIDS . Global HIV statistics. 2020. https://www.unaids.org/sites/default/files/media_asset/2020_aids-data-book_en.pdf
Google Scholar2. UNAIDS . Power to the people. Geneva 2019. https://www.unaids.org/sites/default/files/media_asset/power-to-the-people_en.pdf
Google Scholar3. Delpech, V, Kirwan, P, Brown, A. The HIV epidemic: global and United Kingdom trends. Medicine (Baltimore) 2018; 46: 269–271.
Google Scholar | Crossref4. Coe, A, Moczygemba, L, Gatewood, S, et al. Medication adherence challenges among patients experiencing homelessness in a behavioral health clinic. Res Social Adm Pharm 2015; 11: e110–120. DOI: 10.1016/j.sapharm.2012.11.004.
Google Scholar | Crossref5. Yehia, BR, Stewart, L, Momplaisir, F, et al. Barriers and facilitators to patient retention in HIV care. BMC Infect Dis 2015; 15: 1–10.
Google Scholar | Crossref | Medline | ISI6. 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: 42. 2014/08/26.
Google Scholar | Crossref | Medline7. Whiteley, LB, Olsen, EM, Haubrick, KK, et al. A review of interventions to enhance HIV medication adherence. Curr HIV/AIDS Rep 2021; 18: 443-457. DOI: 10.1007/s11904-021-00568-9.
Google Scholar | Crossref8. Boruett, P, Kagai, D, Njogo, S, et al. Facility-level intervention to improve attendance and adherence among patients on anti-retroviral treatment in Kenya—a quasi-experimental study using time series analysis. BMC Health Serv Res 2013; 13: 1–10.
Google Scholar | Crossref | Medline9. Chung, MH, Richardson, BA, Tapia, K, et al. A randomized controlled trial comparing the effects of counseling and alarm device on HAART adherence and virologic outcomes. PLoS Med 2011; 8: e1000422.
Google Scholar | Crossref | Medline | ISI10. Holstad, MM, Essien, EJ, Ekong, E, et al. Motivational groups support adherence to antiretroviral therapy and use of risk reduction behaviors in HIV positive Nigerian women: a pilot study. Afr J Reprod Health 2012; 16: 14–27.
Google Scholar11. Kalichman, SC, Mathews, C, Banas, E, et al. Stigma management intervention to improve antiretroviral therapy adherence: phase-I test of concept trial, Cape Town South Africa. Glob Public Health 2019; 14: 1059–1074.
Google Scholar | Crossref | Medline12. Tirivayi, N, Koethe, JR, Groot, W. Clinic-based food assistance is associated with increased medication adherence among HIV-infected adults on long-term antiretroviral therapy in Zambia. J AIDS Clin Res 2012; 3: 171.
Google Scholar | Crossref | Medline13. Damulak, PP, Ismail, S, Abdul Manaf, R, et al. Interventions to improve adherence to antiretroviral therapy (ART) in Sub-saharan Africa: an updated systematic review. Int J Environ Res Public Health 2021; 18. DOI: 10.3390/ijerph18052477.
Google Scholar | Crossref | Medline14. Mbuagbaw, L, Thabane, L, Ongolo-Zogo, P, et al. The Cameroon Mobile phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS One 2012; 7: e46909.. 2012/12/14.
Google Scholar | Crossref | Medline | ISI15. Lester, RT, Ritvo, P, Mills, EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. The Lancet 2010; 376: 1838–1845.
Google Scholar | Crossref | Medline | ISI16. Maduka, O, Tobin-West, C. Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria. Niger J Clin Pract 2013; 16: 302–308.
Google Scholar | Crossref | Medline | ISI17. Pop-Eleches, C, Thirumurthy, H, Habyarimana, JP, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS (London, England) 2011; 25: 825.
Google Scholar | Crossref | Medline | ISI18. Shet, A, De Costa, A, Kumarasamy, N, et al. Effect of mobile telephone reminders on treatment outcome in HIV: evidence from a randomised controlled trial in India. BMJ 2014; 349. DOI: 10.1136/bmj.g5978.
Google Scholar | Crossref | Medline19. Demena, BA, Artavia-Mora, L, Ouedraogo, D, et al. A systematic review of mobile phone interventions (SMS/IVR/calls) to improve adherence and retention to antiretroviral treatment in low-and middle-income countries. AIDS Patient Care STDS 2020; 34: 59–71.
Google Scholar | Crossref | Medline20. Henny, KD, Wilkes, AL, McDonald, CM, et al. A rapid review of eHealth interventions addressing the continuum of HIV care (2007–2017). AIDS Behav 2018; 22: 43–63.
Google Scholar | Crossref | Medline21. Horvath, T, Azman, H, Kennedy, GE, et al. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev 2012; 2012: Cd009756. DOI: 10.1002/14651858.
Google Scholar | Crossref22. Shah, R, Watson, J, Free, C. A systematic review and meta-analysis in the effectiveness of mobile phone interventions used to improve adherence to antiretroviral therapy in HIV infection. BMC public Health 2019; 19: 1–15.
Google Scholar | Crossref | Medline23. Kemp, CG, Velloza, J. Implementation of eHealth interventions across the HIV care cascade: a review of recent research. Curr HIV/AIDS Rep 2018; 15: 403–413.
Google Scholar | Crossref | Medline24. Illanes-Álvarez, F, Márquez-Ruiz, D, Márquez-Coello, M, et al. Similarities and differences between HIV and SARS-CoV-2. Int J Med Sci 2021; 18: 846–851.
Google Scholar | Crossref | Medline25. Wang, H . HIV Care during the coronavirus disease-2019 pandemic in shenzhen, China. Curr Opin HIV AIDS 2020; 15: 341–344. DOI: 10.1097/coh.0000000000000653.
Google Scholar | Crossref26. Armstrong, WS, Agwu, AL, Barrette, EP, et al. Innovations in human immunodeficiency virus (HIV) care delivery during the coronavirus disease 2019 (COVID-19) pandemic: policies to strengthen the ending the epidemic initiative-A policy paper of the infectious diseases society of america and the HIV medicine association. Clin Infect Dis 2021; 72: 9–14.. 2020/10/10.
Google Scholar | Medline27. Dandachi, D, Lee, C, Morgan, RO, et al. Integration of telehealth services in the healthcare system: with emphasis on the experience of patients living with HIV. J Invest Med 2019; 67: 815–820.
Google Scholar | Crossref | Medline28. Parmar, P, Mackie, D, Varghese, S, et al. Use of telemedicine technologies in the management of infectious diseases: a review. Clin Infect Dis 2015; 60: 1084–1094.
Google Scholar | Medline | ISI29. Brantley, AD, Page, KM, Zack, B, et al. Making the connection: using videoconferencing to increase linkage to care for incarcerated persons living with HIV post-release. AIDS Behav 2019; 23: 32–40.
Google Scholar | Crossref | Medline30. Cho, H, Iribarren, S, Schnall, R. Technology-Mediated interventions and quality of life for persons living with HIV/AIDS. A systematic review. Appl Clin Inform 2017; 8: 348–368. 2017/04/13.
Google Scholar | Crossref | Medline31. Page, MJ, McKenzie, JE, Bossuyt, PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372: 71. 2021/03/31.
Google Scholar | Crossref | Medline32. Catalyst, N . What is telehealth? NEJM Catalyst 2018; 4.
Google Scholar33. Amir-Behghadami, M, Janati, A. Population, intervention, comparison, outcomes and study (PICOS) design as a framework to formulate eligibility criteria in systematic reviews. Emerg Med J 2020; 37: 87.
Google Scholar | Crossref34. Sterne, JAC, Savović, J, Page, MJ, et al. Rob 2: a revised tool for assessing risk of bias in randomised trials. BMJ 2019; 366: l4898.
Google Scholar | Crossref | Medline35. Liu, CJ, Chang, WP, Araujo de Carvalho, I, et al. Effects of physical exercise in older adults with reduced physical capacity: meta-analysis of resistance exercise and multimodal exercise. Int J Rehabil Res 2017; 40: 303–314. 2017/10/13.
Google Scholar | Crossref | Medline36. Sedgwick, P, Marston, L. Meta-analyses: standardised mean differences. BMJ 2013; 347: f7257.
Google Scholar | Crossref37. Patel, AB, Kuhite, PN, Alam, A, et al. M-SAKHI-Mobile health solutions to help community providers promote maternal and infant nutrition and health using a community-based cluster randomized controlled trial in rural India: a study protocol. Maternal and Child Nutrition 2019; 15: e12850. DOI: 10.1111/mcn.12850
Google Scholar | Crossref | Medline38. Higgins, JPT, Thompson, SG, Deeks, JJ, et al. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–560.
Google Scholar | Crossref | Medline39. Egger, M, Davey Smith, G, Schneider, M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315: 629–634. 1997/10/06.
Google Scholar | Crossref | Medline40. Côté, J, Rouleau, G, Ramirez-Garcia, MP, et al. Effectiveness of a Web-based intervention to support medication adherence Among people living With HIV: web-based randomized controlled trial. JMIR public health and surveillance 2020; 6: e17733. Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't.
Google Scholar | Crossref | Medline41. DiClemente, RJ, Wingood, GM, Sales, JM, et al. Efficacy of a telephone-delivered sexually transmitted infection/human immunodeficiency virus prevention maintenance intervention for adolescents: a randomized clinical trial. JAMA Pediatr 2014; 168: 938–946. Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, N.I.H., Extramural.
Google Scholar | Crossref | Medline42. Guo, Y, Hong, YA, Cai, WP, et al. Effect of a We Chat-based intervention (Run4Love) on depressive symptoms Among people living With HIV in China: randomized controlled trial. J Med Internet Res 2020; 22: e16715. DOI: 10.2196/16715
Google Scholar | Crossref43. Huang, D, Sangthong, R, McNeil, E, et al. Effects of a phone call intervention to promote adherence to antiretroviral therapy and quality of life of HIV/AIDS patients in baoshan, China: a randomized controlled trial. AIDS Res Treat 2013; 2013: 580974. 2013/02/13.
Google Scholar | Medline44. Kalichman, SC, Cherry, C, Kalichman, MO, et al. Mobile health intervention to reduce HIV transmission: a randomized trial of behaviorally enhanced HIV treatment as prevention (B-TasP). Journal of acquired immune deficiency syndromes (1999) 2018; 78: 34–42. Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural.
Google Scholar | Crossref | Medline45. Kuo, I, Liu, T, Patrick, R, et al. Use of an mHealth intervention to improve engagement in HIV community-based care Among persons recently released from a correctional facility in Washington, DC: a pilot study. AIDS Behav 2019; 23: 1016–1031. Journal Article; Randomized Controlled Trial.
Google Scholar | Crossref | Medline46. León, A, Cáceres, C, Fernández, E, et al. A new multidisciplinary home care telemedicine system to monitor stable chronic human immunodeficiency virus-infected patients: a randomized study. PLoS One 2011; 6: e14515. 2011/02/02.
Google Scholar | Crossref | Medline47. Millard, T, McDonald, K, Girdler, S, et al. Online self-management for gay men living with HIV: a pilot study. Sex Health 2015; 12: 308–314. 2015/06/22.
Google Scholar | Crossref | Medline48. Saberi, P, McCuistian, C, Agnew, E, et al. Video-Counseling intervention to address HIV care engagement, mental health, and substance Use challenges: a pilot randomized clinical trial for youth and young adults living with HIV. Telemed Rep 2021; 2: 14–25.
Google Scholar | Medline49. Kalichman, S, Kalichman, MO, Cherry, C, et al. Randomized factorial trial of phone-delivered support counseling and daily text message reminders for HIV treatment adherence. JAIDS 2016; 73: 47-54. DOI: 10.1097/qai.0000000000001020.
Google Scholar | Crossref50. Wang, H, Zhou, J, Huang, L, et al. Effects of nurse-delivered home visits combined with telephone calls on medication adherence and quality of life in HIV-infected heroin users in hunan of China. J Clin Nurs 2010; 19: 380–388. 2010/05/27.
Google Scholar |

留言 (0)

沒有登入
gif