Skip to main content

Evaluating the delivery of care by telemedicine for incarcerated people living with HIV: a cohort study

Abstract

Background

The use of telemedicine has grown significantly since the COVID-19 pandemic and has the potential to improve access to specialized care for otherwise underserved populations. Incarcerated people living with HIV (PLWH) could potentially benefit from expanded access to HIV care through telemedicine.

Methods

All PLWH who were incarcerated within the Tennessee Department of Corrections and received care through the HIV telemedicine clinic at Regional One Hospital between 5/1/2019 through 2/28/2022 were identified from the electronic health records (EHR). Demographics, laboratory data, vaccine history, and treatment outcomes were abstracted from the EHR. Retention in care and viral suppression were defined using Centers for Disease Control and Prevention definitions.

Results

Of the 283 incarcerated PLWH receiving care from this telemedicine clinic, 78% remained retained in care and 94% achieved or maintaining viral suppression at 12 months. Many preventative care measures remained unperformed or undocumented, including vaccinations and testing for concurrent sexually transmitted infections. There were 56 patients (20%) found to have chronic hepatitis C in this population, with 71% either cured or still on treatment in this study period.

Conclusions

Retention in care and viral suppression rates were excellent among incarcerated PLWH receiving telemedicine care for their HIV. HIV related primary health care screenings and vaccinations, however, were less consistently documented and represent areas for improvement.

Peer Review reports

Background

In the United States, especially the southern United States, incarceration and HIV represent dual burdens that often disproportionately affect already-underserved populations [1, 2]. While the prevalence of people living with HIV (PLWH) within the correctional system is higher than that of the general population, previous studies of PLWH within the correctional system have suggested the rate of disease progression decreases while incarcerated [3]. This improvement in outcomes, as compared to the general population, has been attributed to improved engagement along the HIV care continuum including improved HIV therapies and access to the health care system [4].

The HIV care continuum describes the progression through stages of treatment for individuals who have HIV, from diagnosis to prescription of antiretroviral therapy (ART), retention in care, and viral suppression [5, 6]. It is well known that PLWH engaged in the HIV care continuum have improved health outcomes. However, incomplete engagement in the HIV care continuum is common in the US representing the largest percent of HIV-infected individuals [6]. While engagement along the care continuum improves during incarceration, post-incarceration involvement drops, with participation sometimes less than pre-incarceration [7, 8]. Strategies for maintaining the engagement with care achieved during incarceration are needed.

With increased utilization of telehealth since the COVID-19 pandemic, specialized care, such as that for PLWH, is potentially more accessible for otherwise underserved populations. A recent study of specialized care delivery via telemedicine among underserved populations showed equivalent outcomes to in-person care with high patient satisfaction [9]. Other examinations of HIV-specific care delivery via telemedicine over the course of the COVID-19 pandemic showed improved visit completion, particularly among groups with lower pre-pandemic engagement during the height in 2019 [10]. However, continued study among the same cohort saw a return to predominantly in-person care delivery with persistent differences in telehealth utilization by subgroup [11].

In this study, we examine the care of PLWH who were incarcerated within the Tennessee Department of Corrections (TDOC) that were seen in the HIV telemedicine clinic at Regional One Hospital in Memphis, TN between 5/1/2019 through 2/28/2022. We describe the rates of adherence to HIV primary care and healthcare maintenance guidelines. This study also describes the prevalence and treatment outcomes of hepatitis C virus (HCV) infection within this population. This study aims to evaluate the delivery of specialized HIV care via telemedicine for this vulnerable population to better characterize the potential benefits and limitations of future telemedicine and correctional healthcare models.

Methods

Study population

This retrospective study included all PLWH incarcerated within the TDOC system that received care from Regional One Health from 5/1/2019 through 2/28/2022 for HIV via the telemedicine clinic. The Regional One Health system cares for a primarily underserved population in the Memphis metropolitan area in Tennessee and is a primary affiliate of the University of Tennessee Health Science Center. Through a contract agreement between Regional One Health and the Tennessee Department of Corrections, infectious disease specialists at Regional One Health provided remote HIV specialty care for all PLWH who are incarcerated within the TDOC system during the entire study period. There were no in-person clinic visits by our providers, only telemedicine visits throughout the study period. This is accomplished through HIPAA-compliant video software to allow for patient-provider interactions remotely. This software made it possible for the provider, who was located on campus at Regional One Health, to have audio and visual connection with the incarcerated patient and a nurse who both remained in the TDOC facility. The patient and nurse had audio and visual connections, being able to see and hear the provider. The nurse provided vital signs and assisted with the encounter as needed.

The data was accessed in May 2022 and all individuals receiving care with the TDOC as the encounter payor source were included for analysis. An individual patient could be released and reimprisoned multiple times but only counted as one individual patient in the data analysis to avoid duplicates. Patient demographics, laboratory data, treatment, and outcomes were abstracted from the EHR. This work was reviewed and approved by the University of Tennessee Health Science Center institutional review board and Regional One Health Office of Medical Research before any research activities were performed.

Study variable and outcome definitions

The definitions for baseline demographics are as follows. Race and ethnicity were not consistently recorded so were not included. Gender, sexual practices, and substance use were obtained by self-report and abstracted from the EHR. Injection drug use (IDU) was defined as either current or in the past.

The primary outcomes for HIV care included retention in care and viral suppression, based on CDC definitions [5]. Retention in care was defined as attending at least two visits more than 90 days apart within the first year of follow-up. Continuous retention in care was defined as attending at least two visits more than 90 days apart for all years an individual received care within the study period. Viral suppression was defined as achieved if the patient had an HIV viral load of < 200 copies/mL at one year, defined as the closest visit 12 months after the first study visit, within a 3-month window. Continuous viral suppression was defined as an HIV viral load of < 200 copies/mL at all study visits after the initial visit.

Additional items related to the delivery of primary care for PLWH were chosen based on endorsed guidance [12] and are defined as follows. Lipids were defined as checked if lipid panel results were recorded at any point during the study period. The A1c was defined as checked within 12 months of the first visit. Tuberculosis screening was defined as being checked via tuberculin skin test or interferon gamma release assay at any point during the study period. Screening for syphilis with a rapid plasma reagin test (RPR) and for Gonorrhea/Chlamydia with urine nucleic acid amplification tests was marked as done if checked at any point during the study period. Vaccinations were defined as not documented or given if no documentation could confirm administration, documented as given in the past if records indicated administration prior to the study period, and given if doses were given during the study period.

Outcomes related to viral hepatitis are defined as follows. Hepatitis A virus (HAV) immunity was defined as a documented positive HAV antibody. Hepatitis B virus (HBV) immunity was defined as documentation showing a positive HBV surface antibody. HCV infection was defined as having a detectable HCV viral load by polymerase chain reaction (PCR). Treatment against HCV was done using direct-acting antiviral medications based on current guidelines [13]. Cure of HCV was defined as an undetectable HCV viral load by PCR after completion of targeted treatment. Re-infection of HCV was defined as a newly detectable HCV viral load by PCR after documentation of an undetectable viral load following treatment.

Data analysis

All statistical tests were performed using SAS software, version 9.4 (SAS Institute, Cary, NC). A descriptive analysis of all participants was performed. Frequency analyses were then performed to assess the HIV care outcomes, primary care outcomes, and the viral hepatitis outcomes. The HIV care continuum, outlining the proportion of patients retained in care and virally suppressed at 12 months, and the HCV care continuum, outlining the proportion of patients with chronic HCV that were treated and cured, were then graphed.

Results

A total of 283 PLWH were seen via telemedicine clinic from the TDOC, as seen in Table 1. Patients overwhelmingly identified as male (84%) with a mean age of 44 years. Risk factors relevant for HIV transmission were documented, including 96 inmates with a history of injection drug use and sexual practices for 155 inmates. There were 52.08% of participants reporting a history of IDU and 22.66% identified as men who have sex with men (MSM).

Table 1 Demographics of tennessee department of corrections inmates receiving telemedicine care for HIV (N = 283)

At study entry, defined as the first visit via telemedicine within our study window, the mean CD4 count was 686 cells/µl (standard deviation (SD) 383 cells/µl). At this initial encounter, 88% (n = 237) of patients had a suppressed viral load, defined as < 200 copies/mL. While 95% of patients reported a history of antiretroviral therapy at any time, fewer (91%) were actively on ART at time of study entry. The most common class of ART was integrase strand transfer inhibitors (61%). For 83 patients (29.3%), ART was changed during the study period, including 36 inmates who were transitioned from tenofovir disoproxil fumarate to tenofovir alafenamide.

Preventative care measures, including routine metabolic and infectious screenings were documented inconsistently as shown in Table 2. While most patients received lipid screenings (83%, n = 235), results for syphilis via RPR and Gonococcus/Chlamydia via co-testing were documented for only 34% and 21% of inmates respectively. Vaccination records from the correctional system as well as the Tennessee Immunization Information System revealed that a slight majority of inmates lacked any documentation of immunization with the pneumococcal conjugate (58%), pneumococcal polysaccharide (57%) or the meningococcal (55%) vaccines.

Table 2 Preventative care measures and HIV care outcomes, N = 283

Review of hepatitis testing and management showed that just over half of inmates seen in this clinic were tested and found to be immune to both HAV and HBV, as shown in Table 3. 25% of study patients were vaccinated for HBV during the study period. HCV antibody testing was performed for 73% of inmates, with 81 (28%) of inmates documented to have positive HCV antibody titers. 56 inmates (19%) were diagnosed with chronic HCV, 49 received treatment and 22 were cured. 7 remained on treatment at the end of the study period.

Table 3 Hepatitides prevalence and Hepatitis C treatment outcomes (N = 283)

Longitudinally, this review found that 78% of patients were retained in care for at least 12 months, with 68% retained throughout the study period, as shown in Fig. 1. At 12 months, 204/217 (94%) of patients had achieved viral suppression, with 210 (86%) having continuous viral suppression throughout the study. The median amount of follow-up time per study participant was 560 days.

Fig. 1
figure 1

HIV and Hepatitis C care continua

Panel A: proportion of patients (N = 283) retained in care (78%) and virally suppressed (94%) at 12 months. Panel B: proportion of patients (N = 56) who started hepatitis C treatment during the study period (88%), were still on treatment at the time of data collection (71%), and were cured (59%)

Discussion

In this study evaluating 283 incarcerated PLWH receiving HIV care via telemedicine, we found excellent HIV care outcomes, with 78% retained in care and 94% being virally suppressed at 12 months. Of the 56 patients with Hepatitis C coinfection, 33 (59%) were cured during the study period with an additional 7 (13%) still on therapy at the time of data collection. We found these outcomes to be durable, with 210 (86%) having a continuously suppressed HIV viral load over a median follow-up time of 560 days. Our findings support the growing use of telemedicine in providing specialized care for patients, including incarcerated PLWH.

Being retained in care and achieving HIV viral suppression carries significant benefits both for the individual patient and for broader public health goals. Not only does HIV viral suppression provide numerous individual health benefits [14,15,16,17], including achieving a life-expectancy near that of people without HIV [18], it also lowers the risk of viral transmission through sex among heterosexual couples as well as MSM [19,20,21]. Additionally, previous work has seen that PLWH in the general population may often fall in and out of care, putting them at risk for poorer HIV care outcomes [22, 23]. We addressed this issue by looking at the standard definition of viral suppression at 12 months and continuous viral suppression throughout the study period and found consistently high rates of viral suppression.

While telemedicine use expanded significantly due to the COVID-19 pandemic, it is important to ensure equity is maintained. The Infectious Diseases Society of America and HIV Medicine Association put forth a policy paper calling attention to the need for more data evaluating the effects from implementing broader use of telemedicine services [24]. Several previous works have shown the use of telemedicine for PLWH to reduce barriers to care. One such work found that after transitioning to telemedicine visits, individuals who previously struggled to remain retained in care, including younger patients, Black patients, women, and those with detectable viremia, had improved retention in care when compared to pre-pandemic [10]. Telemedicine has also been shown to improve access to care for PLWH in traditionally underserved areas, particularly those living in rural or remote areas [25] and those with mental health or substance use disorders [26].

Unfortunately, other studies evaluating access to telemedicine visits have shown mixed results. Limited access to reliable telephone or video use may be contributing, as one study saw a drop in HIV outcomes, particularly among homeless individuals [27]. Another study, which showed positive effects of telemedicine among some populations, found that PLWH with limited access to reliable communication devices and those with lower technology literacy had poorer telemedicine uptake [26]. While telemedicine boasts the ability to have video meetings and provide insight into a patient’s living situation [28], in practice telephone calls rather than video appointments may predominate, with phone-only appointments accounting for 40-70% of telemedicine visits [10, 26]. Although there is some evidence that patients are equally happy with phone-only visits [29], other studies have found patients to prefer video or in-person visits to phone calls alone [30].

While most of the current literature focuses on the use of telemedicine to improve access to HIV specialized care to disadvantaged populations in the general population, there is currently sparse data evaluating the use of telemedicine for PLWH who are incarcerated. Most prior works are either proof-of-concept from the pre-COVID pandemic era [31] or have a shorter follow-up period [32]. Our work adds to the growing body of literature supporting the use of telemedicine to reach incarcerated PLWH by showing consistent HIV care outcomes over a median follow up of 560 days on a large scale. We also show the ability of the prison system to successfully identify, treat, and cure Hepatitis C infections with over two thirds of our patients being cured or still on treatment at the time of data collection.

Although we observed excellent HIV care outcomes in our cohort, many of the other primary care screenings and preventative healthcare measures were inconsistent. Current guidance recommends screening regularly for metabolic complications of HIV, concurrent sexually transmitted infections, and administering a variety of vaccines [12]. We observed infrequent testing of the majority of these screening tests and infrequent documentation of vaccinations. This may be related to a limitation of telemedicine, that the provider only has access to the medical records made available to him or her. Some of these tests may have been obtained and vaccinations given during our study period but not made available in the records shared with the providers. We tried to account for this by accessing the state vaccination database, but unfortunately this is an imperfect system and is not always up to date.

Another limitation of our work is that we only included inmates from Tennessee. While our center provided care for all PLWH in the TDOC system state-wide, this does limit applicability of our findings to states with different demographics. We also lacked key pieces of demographic information due to the limitations of the chart review, including race/ethnicity. Future studies evaluating the use of telemedicine in other states with different demographics would be helpful as telemedicine efforts continue to scale up. Additionally, we were not able to assess our patients’ opinions of their care by telemedicine. While other studies have evaluated patient attitudes toward telemedicine for HIV care, data is lacking for PLWH who are incarcerated. Further study evaluating patients’ satisfaction with their telemedicine care for incarcerated PLWH is also needed.

Among the many changes the COVID-19 pandemic brought to the medical community, the broader use of telemedicine for routine care has proven to be a beneficial development for many patients. Incarcerated PLWH have traditionally faced several barriers to care, but we found that telemedicine allowed for specialized care for this unique patient population. We were able to achieve excellent HIV care outcomes with viral suppression rates of over 90% at 12 months. Our work supports the use of telemedicine for the delivery of care to populations who would otherwise struggle to be seen by a specialist, including incarcerated PLWH.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

PLWH:

People living with HIV

HER:

Electronic health records

ART:

Antiretroviral therapy

TDOC:

Tennessee Department of Corrections

HCV:

Hepatitis C virus

IDU:

Injection drug use

RPR:

Rapid plasma reagin test

HAV:

Hepatitis A virus

HBV:

Hepatitis B virus

PCR:

Polymerase chain reaction

MSM:

Men who have sex with men

SD:

Standard deviation

References

  1. State-by-state Criminal Justice Data. The Sentencing Project. [ http://www.sentencingproject.org/the-facts/#rankings?dataset-option=SIR.

  2. Reif SS, Whetten K, Wilson ER, McAllaster C, Pence BW, Legrand S, et al. HIV/AIDS in the Southern USA: a disproportionate epidemic. AIDS Care. 2014;26(3):351–9.

    Article  PubMed  Google Scholar 

  3. Altice FL, Mostashari F, Selwyn PA, Checko PJ, Singh R, Tanguay S, et al. Predictors of HIV infection among newly sentenced male prisoners. J Acquir Immune Defic Syndr Hum Retrovirol. 1998;18(5):444–53.

    Article  CAS  PubMed  Google Scholar 

  4. Maruschak LM. (2007 September) HIV in prisons, 2005. U.S. Department of Justice, Bureau of Justice Statistics Bulletin, September 2007, Updated February 2008. NCJ 218915.

  5. Centers for Disease Control and Prevention. Understanding the HIV Care Continuum. 2019.

  6. Gardner EM, McLees MP, Steiner JF, Del Rio C, Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52(6):793–800.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Iroh PA, Mayo H, Nijhawan AE. The HIV Care Cascade before, during, and after incarceration: a systematic review and data synthesis. Am J Public Health. 2015;105(7):e5–16.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Woznica DM, Fernando NB, Bonomo EJ, Owczarzak J, Zack B, Hoffmann CJ. Interventions to improve HIV Care Continuum outcomes among individuals released from prison or Jail: systematic literature review. J Acquir Immune Defic Syndr. 2021;86(3):271–85.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Burke GV, Osman KA, Lew SQ, Ehrhardt N, Robie AC, Amdur RL, et al. Improving Specialty Care Access via Telemedicine Telemed J E Health. 2023;29(1):109–15.

    PubMed  Google Scholar 

  10. El-Nahal WG, Shen NM, Keruly JC, Jones JL, Fojo AT, Lau B, et al. Telemedicine and visit completion among people with HIV during the coronavirus disease 2019 pandemic compared with prepandemic. AIDS. 2022;36(3):355–62.

    Article  CAS  PubMed  Google Scholar 

  11. El-Nahal WG, Chander G, Jones JL, Fojo AT, Keruly JC, Manabe YC, et al. Telemedicine Use among people with HIV in 2021: the hybrid-care environment. J Acquir Immune Defic Syndr. 2023;92(3):223–30.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Thompson MA, Horberg MA, Agwu AL, Colasanti JA, Jain MK, Short WR, et al. Primary Care Guidance for persons with Human Immunodeficiency Virus: 2020 update by the HIV Medicine Association of the Infectious Diseases Society of America. Clin Infect Dis. 2021;73(11):e3572–605.

    Article  PubMed  Google Scholar 

  13. Bhattacharya D, Aronsohn A, Price J, Lo Re V, Panel A-IHG, Hepatitis C. Guidance 2023 Update: AASLD-IDSA recommendations for Testing, Managing, and treating Hepatitis C virus infection. Clin Infect Dis. 2023.

  14. Danel C, Moh R, Gabillard D, Badje A, Le Carrou J, Ouassa T, et al. A trial of early antiretrovirals and Isoniazid Preventive Therapy in Africa. N Engl J Med. 2015;373(9):808–22.

    Article  CAS  PubMed  Google Scholar 

  15. Kitahata MM, Gange SJ, Abraham AG, Merriman B, Saag MS, Justice AC, et al. Effect of early versus deferred antiretroviral therapy for HIV on survival. N Engl J Med. 2009;360(18):1815–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Lundgren JD, Babiker AG, Gordin F, Emery S, Grund B, Sharma S, et al. Initiation of antiretroviral therapy in early asymptomatic HIV infection. N Engl J Med. 2015;373(9):795–807.

    Article  CAS  PubMed  Google Scholar 

  17. Sterne JA, May M, Costagliola D, de Wolf F, Phillips AN, Harris R, et al. Timing of initiation of antiretroviral therapy in AIDS-free HIV-1-infected patients: a collaborative analysis of 18 HIV cohort studies. Lancet. 2009;373(9672):1352–63.

    Article  PubMed  Google Scholar 

  18. Samji H, Cescon A, Hogg RS, Modur SP, Althoff KN, Buchacz K, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS ONE. 2013;8(12):e81355.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bavinton BR, Pinto AN, Phanuphak N, Grinsztejn B, Prestage GP, Zablotska-Manos IB, et al. Viral suppression and HIV transmission in serodiscordant male couples: an international, prospective, observational, cohort study. Lancet HIV. 2018;5(8):e438–47.

    Article  PubMed  Google Scholar 

  21. Rodger AJ, Cambiano V, Bruun T, Vernazza P, Collins S, Degen O, et al. Risk of HIV transmission through condomless sex in serodifferent gay couples with the HIV-positive partner taking suppressive antiretroviral therapy (PARTNER): final results of a multicentre, prospective, observational study. Lancet. 2019;393(10189):2428–38.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Colasanti J, Goswami ND, Khoubian JJ, Pennisi E, Root C, Ziemer D, et al. The Perilous Road from HIV diagnosis in the hospital to viral suppression in the Outpatient Clinic. AIDS Res Hum Retroviruses. 2016;32(8):729–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Colasanti J, Kelly J, Pennisi E, Hu YJ, Root C, Hughes D, et al. Continuous Retention and viral suppression provide further insights into the HIV Care Continuum compared to the cross-sectional HIV Care Cascade. Clin Infect Dis. 2016;62(5):648–54.

    Article  PubMed  Google Scholar 

  24. 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(6):913–9.

    Article  PubMed  Google Scholar 

  25. Salgado S, Felzien G, Brumbeloe J. Georgia Leverages Telehealth to Expand HIV Care Management in Underserved Areas. Am J Prev Med. 2021;61(5 Suppl 1):S55–9.

    Article  PubMed  Google Scholar 

  26. Baim-Lance A, Angulo M, Chiasson MA, Lekas HM, Schenkel R, Villarreal J, et al. Challenges and opportunities of telehealth digital equity to manage HIV and comorbidities for older persons living with HIV in New York State. BMC Health Serv Res. 2022;22(1):609.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Spinelli MA, Hickey MD, Glidden DV, Nguyen JQ, Oskarsson JJ, Havlir D, et al. Viral suppression rates in a safety-net HIV clinic in San Francisco destabilized during COVID-19. Aids. 2020;34(15):2328–31.

    Article  CAS  PubMed  Google Scholar 

  28. Gloston GF, Day GA, Touchett HN, Marchant-Miros KE, Hogan JB, Chen PV, et al. Pivoting to Video Telehealth for Delivery of HIV Care during COVID-19: a brief report. Telemedicine Rep. 2021;2(1):205–10.

    Article  Google Scholar 

  29. Danila MI, Sun D, Jackson LE, Cutter G, Jackson EA, Ford EW, et al. Satisfaction with modes of telemedicine delivery during COVID-19: a randomized, single-blind, parallel group, noninferiority trial. Am J Med Sci. 2022;364(5):538–46.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hays RD, Skootsky SA. Patient experience with In-Person and telehealth visits before and during the COVID-19 pandemic at a Large Integrated Health System in the United States. J Gen Intern Med. 2022;37(4):847–52.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Badowski M, Nyberg C. Establishing a telemedicine clinic for HIV patients in a correctional facility. Am J health-system Pharmacy: AJHP : Official J Am Soc Health-System Pharmacists. 2012;69(19):1630.

    Article  Google Scholar 

  32. 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(1):123–6.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Jessica Greer and Richard Wong for their assistance in obtaining the initial data set.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

RCD, CJS, CC, CJF, BEM, and NAS conceived the study. RCD, CJS, and CC abstracted the data from the health records. NAS carried out the primary data analysis. CJF, BEM, and NAS provided supervision and oversight. RCD, CJS, and NAS drafted the initial manuscript. All authors reviewed and agreed upon the final manuscript.

Corresponding author

Correspondence to Nathan A. Summers.

Ethics declarations

Ethics approval and consent to participate

This work was reviewed and approved by the University of Tennessee Health Science Center institutional review board and Regional One Health Office of Medical Research before any research activities were performed. Informed consent was waived by the University of Tennessee Health Science Center institutional review board and Regional One Health Office of Medical Research based on the retrospective nature of the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Presented: Southern Regional Meeting, Oral Abstract, New Orleans, LA, USA, 2024.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dunn, R.C., Stegall, C.J., Creel, C. et al. Evaluating the delivery of care by telemedicine for incarcerated people living with HIV: a cohort study. BMC Infect Dis 24, 717 (2024). https://doi.org/10.1186/s12879-024-09528-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-024-09528-1

Keywords