Telemedicine and visit completion among people with HIV during the coronavirus disease 2019 pandemic compared with prepandemic.
Journal
AIDS (London, England)
ISSN: 1473-5571
Titre abrégé: AIDS
Pays: England
ID NLM: 8710219
Informations de publication
Date de publication:
01 03 2022
01 03 2022
Historique:
pubmed:
30
10
2021
medline:
2
2
2022
entrez:
29
10
2021
Statut:
ppublish
Résumé
Telemedicine became the primary mode of delivering care during the COVID-19 pandemic. We describe the impact of telemedicine on access to care for people with HIV (PWH) by comparing the proportion of PWH engaged in care prior to and during the COVID-19 pandemic. We conducted an observational analysis of patients enrolled in the Johns Hopkins HIV Clinical Cohort, a single-center cohort of patients at an urban HIV subspecialty clinic affiliated with an academic center. Due to the COVID-19 pandemic, the clinic transitioned from in-person to mostly telemedicine visits. We compared patients receiving care in two time periods. The prepandemic period included 2010 people with at least one visit scheduled between 1 September 2019 and 15 March 2020. The pandemic period included 1929 people with at least one visit scheduled between 16 March 2020 and 30 September 2020. We determined the proportion of patients completing at least one of their scheduled visits during each period. Visit completion increased significantly from 88% prepandemic to 91% during the pandemic (P = 0.008). Visit completion improved significantly for patients age 20-39 (82 to 92%, P < 0.001), women (86 to 93%, P < 0.001), Black patients (88 to 91%, P = 0.002) and patients with detectable viremia (77 to 85%, P = 0.06) during the pandemic. Only 29% of people who completed at least one telemedicine visit during the pandemic did so as a video (versus telephone) visit. During the pandemic when care was widely delivered via telemedicine, visit completion improved among groups with lower prepandemic engagement but most were limited to telephone visits.
Identifiants
pubmed: 34711737
doi: 10.1097/QAD.0000000000003119
pii: 00002030-202203010-00004
pmc: PMC8795480
mid: NIHMS1751296
doi:
Types de publication
Journal Article
Observational Study
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
355-362Subventions
Organisme : NIAID NIH HHS
ID : T32 AI007291
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI094189
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA036935
Pays : United States
Organisme : NIAAA NIH HHS
ID : K24 AA027483
Pays : United States
Organisme : NIAAA NIH HHS
ID : K01 AA028193
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH113094
Pays : United States
Organisme : NIMH NIH HHS
ID : K08 MH118094
Pays : United States
Informations de copyright
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
Références
Shah M, Perry A, Risher K, Kapoor S, Grey J, Sharma A, et al. Effect of the US National HIV/AIDS Strategy targets for improved HIV care engagement: a modelling study . Lancet HIV 2016; 3:e140–e146.
Poorolajal J, Hooshmand E, Mahjub H, Esmailnasab N, Jenabi E. Survival rate of AIDS disease and mortality in HIV-infected patients: a meta-analysis . Public Health 2016; 139:3–12.
Eisinger RW, Dieffenbach CW, Fauci AS. HIV viral load and transmissibility of HIV infection undetectable equals untransmittable . JAMA 2019; 321:451–452.
Li Z, Purcell DW, Sansom SL, Hayes D, Hall HI. Vital signs: HIV transmission along the continuum of care — United States, 2016 . MMWR Morb Mortal Wkly Rep 2019; 68:267–272.
Wood BR, Young JD, Abdel-Massih RC, McCurdy L, Vento TJ, Dhanireddy S, et al. Advancing digital health equity: a policy paper of the Infectious Diseases Society of America and the HIV Medicine Association . Clin Infect Dis 2021; 72:913–919.
Dandachi D, Freytag J, Giordano TP, Dang BN. It is time to include telehealth in our measure of patient retention in HIV care . AIDS Behav 2020; 1:1.
Jain KM, Bhat P, Maulsby C, Andersen A, Soto T, Tarrant A, et al. Extending access to care across the rural US south: preliminary results from the Alabama eHealth programme . J Telemed Telecare 2019; 25:301–309.
Saifu HN, Asch SM, Goetz MB, Smith JP, Graber CJ, Schaberg D, Sun BC. Evaluation of human immunodeficiency virus and hepatitis C telemedicine clinics . Am J Manag Care 2012; 18:207–212.
Ohl M, Dillon D, Moeckli J, Ono S, Waterbury N, Sissel J, et al. Mixed-methods evaluation of a telehealth collaborative care program for persons with HIV infection in a rural setting . J Gen Intern Med 2013; 28:1165–1173.
Young JD, Patel M, Badowski M, Mackesy-Amiti ME, Vaughn P, Shicker L, et al. Improved virologic suppression with HIV subspecialty care in a large prison system using telemedicine: an observational study with historical controls . Clin Infect Dis 2014; 59:123–126.
León A, Cáceres C, Fernández E, Chausa P, Martin M, Codina C, 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.
Tarantino N, Brown LK, Whiteley L, Fernández MI, Nichols SL, Harper G. ATN 086 Protocol Team for the Adolescent Medicine Trials Network for HIV/AIDS Intervention. Correlates of missed clinic visits among youth living with HIV . AIDS Care 2018; 30:982–989.
Moore RD. Understanding the clinical and economic outcomes of HIV therapy: the Johns Hopkins HIV clinical practice cohort . J Acquir Immune Defic Syndr Hum Retrovirology 1998; 17: (Suppl 1): S38–S41.
Nitkin K. Milestones in a year of COVID-19 at Johns Hopkins Medicine. Published March 8, 2021. Available at: https://www.hopkinsmedicine.org/news/articles/covid-19-timeline-for-johns-hopkins-medicine . [Accessed 14 May 2021]
Hanley JA, Negassa A, Edwardes MD, Forrester JE. Statistical analysis of correlated data using generalized estimating equations: an orientation . Am J Epidemiol 2003; 157:364–375.
Durand CP. Does raising type 1 error rate improve power to detect interactions in linear regression models? A simulation study . PLoS One 2013; 8:e71079.
Marshall SW. Power for tests of interaction: effect of raising the type I error rate . Epidemiol Perspect Innov 2007; 4:4.
Kaufman JS. Statistics, adjusted statistics, and maladjusted statistics . Am J Law Med 2017; 43:193–208.
Estacio EV, Whittle R, Protheroe J. The digital divide: examining socio-demographic factors associated with health literacy, access and use of internet to seek health information . J Health Psychol 2019; 24:1668–1675.
Moore AN, Rothpletz AM, Preminger JE. The effect of chronological age on the acceptance of internet-based hearing healthcare . Am J Audiol 2015; 24:280–283.
Caregiving in America | The National Alliance for Caregiving. Available at: https://www.caregiving.org/research/caregivingusa/ . [Accessed 7 May 2021]
Addressing gender disparities in transportation - gender policy report. Available at: https://genderpolicyreport.umn.edu/addressing-gender-disparities-in-transportation/ . [Accessed 7 May 2021]
Lesko CR, Bengtson AM. HIV and COVID-19: intersecting epidemics with many unknowns . Am J Epidemiol 2021; 190:10–16.
Demographics of Mobile Device Ownership and Adoption in the United States | Pew Research Center. Available at: https://www.pewresearch.org/internet/fact-sheet/mobile/ .[Accessed 16 April 2021]
Velasquez D, Mehrotra A. Ensuring the growth of telehealth during COVID-19 does not exacerbate disparities in care | health affairs. Health Affairs Blog. https://www.healthaffairs.org/do/10.1377/hblog20200505.591306/full/ . [Accessed 15 May 2021]
Wong C, Gange SJ, Moore RD, Justice AC, Buchacz K, Abraham AG, et al. North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). Multimorbidity among persons living with human immunodeficiency virus in the United States . Clin Infect Dis 2018; 66:1230–1238.
Fang ML, Canham SL, Battersby L, Sixsmith J, Wada M, Sixsmith A. Exploring privilege in the digital divide: implications for theory, policy, and practice . Gerontologist 2019; 59:e1–e15.
Pellowski JA, Kalichman SC, Matthews KA, Adler N. A pandemic of the poor: social disadvantage and the U.S. HIV epidemic . Am Psychol 2013; 68:197–209.
Lam K, Lu AD, Shi Y, Covinsky KE. Assessing telemedicine unreadiness among older adults in the United States during the COVID-19 pandemic . JAMA Intern Med 2020; 180:1389–1391.
Roberts ET, Mehrotra A. Assessment of disparities in digital access among medicare beneficiaries and implications for telemedicine . JAMA Intern Med 2020; 180:1386–1389.
Census Bureau U. Computer and internet use in the United States: 2016. Available at: www.census.gov/acs . [Accessed 15 May 2021]
Rodriguez JA, Betancourt JR, Sequist TD, Ganguli I. Differences in the use of telephone and video telemedicine visits during the COVID-19 pandemic . Am J Manag Care 2021; 27:21–26.
African Americans and Technology Use | Pew Research Center. Available at: https://www.pewresearch.org/internet/2014/01/06/african-americans-and-technology-use/ . [Accessed 8 May 2021]
Bailey ZD, Feldman JM, Bassett MT. How structural racism works — racist policies as a root cause of U.S. Racial Health inequities . N Engl J Med 2020; 384:768–773.
Lower-income Americans still lag in tech adoption | Pew Research Center. Available at: https://www.pewresearch.org/fact-tank/2019/05/07/digital-divide-persists-even-as-lower-income-americans-make-gains-in-tech-adoption/ . [Accessed 16 April 2021]
Oesterle TS, Kolla B, Risma CJ, Breitinger SA, Rakocevic DB, Loukianova LL, et al. Substance use disorders and telehealth in the COVID-19 pandemic era: a new outlook . Mayo Clin Proc 2020; 95:2709–2718.
Rogers BG, Coats CS, Adams E, Murphy M, Stewart C, Arnold T, et al. Development of telemedicine infrastructure at an LGBTQ+ clinic to support HIV prevention and care in response to COVID-19, Providence, RI . AIDS Behav 2020; 24:2743–2747.
Coombes CE, Gregory ME. The current and future use of telemedicine in infectious diseases practice . Curr Infect Dis Rep 2019; 21:41.
Gras G. Use of telemedicine in the management of infectious diseases . Med Mal Infect 2018; 48:231–237.
Mugavero MJ, Westfall AO, Zinski A, Davila J, Drainoni ML, Gardner LI, et al. Measuring retention in HIV care: the elusive gold standard . J Acquir Immune Defic Syndr 2012; 61:574–580.