Telehealth use surged during the COVID-19 pandemic and plateaued in recent years, yet factors influencing sustained use among patients remain underexplored. This study examines sociodemographic, health, digital literacy, and prior telemedicine experience related predictors of willingness to continue telehealth use in a postpandemic population of the United States United States.
Methods:
Data from 2,423 participants in the 2024 Health Information National Trends Survey were analyzed, focusing on respondents with prior telehealth experience. Ordinal logistic regression was employed to identify predictors of willingness to continue telehealth use. Predictors included sociodemographic factors, health conditions, digital literacy, and prior telehealth experiences.
Results:
Among respondents, 59.1% (n = 1,432) were very willing and 30.99% (n = 751) somewhat willing to continue telehealth use. Significant predictors included age (35–49: OR = 2.12, 95% CI: 1.14–3.96, p = 0.019; 50–64: OR = 2.26, 95% CI: 1.06–4.85, p = 0.036; 65–74: OR = 2.87, 95% CI: 1.08–7.65, p = 0.035), digital literacy (health information search skills: OR = 1.67, 95% CI: 1.19–2.34, p = 0.004), convenience (OR = 3.12, 95% CI: 2.04–4.77, p < 0.001), perceived telecare quality (OR = 1.79, 95% CI: 1.33–2.42, p < 0.001), and recommendation likelihood (OR = 3.67, 95% CI: 2.44–5.50, p < 0.001). Lower willingness was observed among males (OR = 0.57, 95% CI: 0.35–0.92, p = 0.023), Non-Hispanic blacks (OR = 0.40, 95% CI: 0.20–0.80, p = 0.010), audio-only visits (OR = 0.64, 95% CI: 0.40–0.89, p = 0.05) and those used telehealth for rehabilitation/therapy purposes.
Conclusion:
This study uniquely highlights strong postpandemic telehealth willingness among U.S. adults, driven by age, digital literacy, and positive experiences, with novel insights into racial and gender disparities and the unsuitability of telehealth for rehabilitation. These findings have important implications for health policy makers and administrators to design targeted interventions to enhance digital access and video-based care quality to sustain telehealth use.
MaY, ZhaoC, ZhaoY, et al.Telemedicine application in patients with chronic disease: A systematic review and meta-analysis. BMC Med Inform Decis Mak, 2022; 22(1):105; doi: 10.1186/s12911-022-01845-2
2.
CantorJ, SchulerMS, MatthewsS, et al.Availability of mental telehealth services in the US. JAMA Health Forum, 2024; 5(2):e235142; doi: 10.1001/jamahealthforum.2023.5142
3.
MolfenterT, HeitkampT, MurphyAA, et al.Use of telehealth in Mental Health (MH) services during and after COVID-19. Community Ment Health J, 2021; 57(7):1244–1251; doi: 10.1007/s10597-021-00861-2
4.
ZanganiC, OstinelliEG, SmithKA, et al.Impact of the COVID-19 pandemic on the global delivery of mental health services and telemental health: Systematic review. JMIR Ment Health, 2022; 9(8):e38600; doi: 10.2196/38600
5.
AlonsoSG, de la Torre DíezI, ZapiraínBG. Predictive, personalized, preventive and participatory (4P) medicine applied to telemedicine and eHealth in the literature. J Med Syst, 2019; 43(5):140; doi: 10.1007/s10916-019-1279-4
6.
DadoskyA, OverbeckH, BarbettaL, et al.Telemanagement of heart failure patients across the post-acute care continuum. Telemed J E Health, 2018; 24(5):360–366; doi: 10.1089/tmj.2017.0058
7.
VakkalankaP, YoungT, CarterKD, et al.Permissive telehealth state licensure policies are associated with increased telehealth utilization. Telemed J E Health, 2025; 31(9):1096–1105; doi: 10.1089/tmj.2025.0089
8.
GageAD, KnightMA, BintzC, et al.Disparities in telemedicine use and payment policies in the United States between 2019 and 2023. Commun Med (Lond), 2025; 5(1):52; doi: 10.1038/s43856-025-00757-2
9.
MehrotraA, Uscher-PinesL. Informing the debate about telemedicine reimbursement - what do we need to know? N Engl J Med, 2022; 387(20):1821–1823; doi: 10.1056/nejmp2210790
10.
OginiF, EleshoR, AwuondaM. Assessment of patients’ postpandemic perception of telehealth utilization: A scoping review. Telemed J E Health, 2025; 31(10):1208–1217; doi: 10.1089/tmj.2024.0604
11.
NandaM, SharmaR. A review of patient satisfaction and experience with telemedicine: A virtual solution during and beyond COVID-19 pandemic. Telemed J E Health, 2021; 27(12):1325–1331; doi: 10.1089/tmj.2020.0570
12.
RhodenPA, BonilhaH, HarveyJ. Patient satisfaction of telemedicine remote patient monitoring: A systematic review. Telemed J E Health, 2022; 28(9):1332–1341; doi: 10.1089/tmj.2021.0434
LucasJ, WangX. Declines in Telemedicine Use among Adults, 2021 and 2022. National Center for Health Statistics (U.S): Hyattsville, MD; 2024; doi: 10.15620/cdc/154767
17.
LeeEC, GrigorescuV, EnogieruI, et al.Updated National Survey Trends in Telehealth Utilization and Modality (2021-2022): Issue Brief. Office of the Assistant Secretary for Planning and Evaluation (ASPE): Washington (DC); 2023.
18.
MandalS, WiesenfeldBM, MannDM, et al.The “new” new normal: Changes in telemedicine utilization since COVID-19. Am J Manag Care, 2025; 31(3):e74–e78; doi: 10.37765/ajmc.2025.89700
19.
ChandrasekaranR. Telemedicine in the post-pandemic period: Understanding patterns of use and the influence of socioeconomic demographics, health status, and social determinants. Telemed J E Health, 2024; 30(2):480–489; doi: 10.1089/tmj.2023.0277
AnM, YouS, ParkRW, et al.Using an extended technology acceptance model to understand the factors influencing telehealth utilization after flattening the COVID-19 curve in South Korea: Cross-sectional survey study. JMIR Med Inform, 2021; 9(1):e25435; doi: 10.2196/25435
22.
HoltzB, MitchellK, HirkoK, et al.Using the technology acceptance model to characterize barriers and opportunities of telemedicine in rural populations: Survey and interview study. JMIR Form Res, 2022; 6(4):e35130; doi: 10.2196/35130
23.
DrakeC, LianT, CameronB, et al.Understanding telemedicine’s “New Normal”: variations in telemedicine use by specialty line and patient demographics. Telemed J E Health, 2022; 28(1):51–59; doi: 10.1089/tmj.2021.0041
24.
ThabetZ, AlbashtawiS, AnsariH, et al.Exploring the factors affecting telemedicine adoption by integrating UTAUT2 and IS success model: A hybrid SEM–ANN approach. IEEE Trans Eng Manage, 2024; 71:8938–8950; doi: 10.1109/tem.2023.3296132
25.
WuD, GuH, GuS, et al.Individual motivation and social influence: A study of telemedicine adoption in China based on social cognitive theory. Health Policy Technol, 2021; 10(3):100525; doi: 10.1016/j.hlpt.2021.100525
26.
Finney RuttenLJ, BlakeKD, SkolnickVG, et al.Data resource profile: The national cancer institute’s Health Information National Trends Survey (HINTS). Int J Epidemiol, 2020; 49(1):17–17j. j; doi: 10.1093/ije/dyz083
DaungsupawongH, WiwanitkitV. Influencing factors: Unveiling patterns and reasons in telehealth care utilization and adoption/avoidance decisions. Int J Med Inform, 2025; 195:105785; doi: 10.1016/j.ijmedinf.2025.105785
29.
SpauldingEM, FangM, Commodore-MensahY, et al.Prevalence and disparities in telehealth use among US adults following the COVID-19 pandemic: National cross-sectional survey. J Med Internet Res, 2024; 26:e52124; doi: 10.2196/52124
30.
KimJ, CaiZR, ChenML, et al.Telehealth utilization and associations in the United States during the third year of the COVID-19 pandemic: Population-based survey study in 2022. JMIR Public Health Surveill, 2024; 10(1):e51279; doi: 10.2196/51279
31.
ChangE, PenfoldRB, BerkmanND. Patient characteristics and telemedicine use in the US, 2022. JAMA Netw Open, 2024; 7(3):e243354; doi: 10.1001/jamanetworkopen.2024.3354
32.
LeeM, NamS. Telehealth utilization among patients with chronic disease: Insights from the 2022 Health Information National Trends Survey. J Telemed Telecare, 2025; 31(10):1418–1428; doi: 10.1177/1357633X241289158
33.
LeTV, GalperinH, TraubeD. The impact of digital competence on telehealth utilization. Health Policy Technol, 2023; 12(1):100724; doi: 10.1016/j.hlpt.2023.100724
34.
ChengJ, AroraVM, KappelN, et al.Assessing disparities in video-telehealth use and eHealth literacy among hospitalized patients: Cross-sectional observational study. JMIR Form Res, 2023; 7:e44501; doi: 10.2196/44501
35.
Kato-LinY-C, ThelenST. Privacy concerns and continued use intention of telemedicine during COVID-19. Telemed J E Health, 2022; 28(10):1440–1448; doi: 10.1089/tmj.2021.0603
36.
HsuY-C, TsaiC-H, KuoY-M, et al.; Lien. Telecare services for elderly: Predictive factors of continued use intention. Open Biomed Eng J, 2016; 10(1):82–90; doi: 10.2174/1874120701610010082
37.
LiT, ZhangY, LuoXL, et al.Exploring patients’ intentions for usage of video telemedicine follow-up services: Cross-sectional study. Telemed J E Health, 2024; 30(3):731–742; doi: 10.1089/tmj.2023.0253
38.
SpauldingEM, FangM, ChenY, et al.Satisfaction with telehealth care in the United States: Cross-sectional survey. Telemed J E Health, 2024; 30(6):1549–1558; doi: 10.1089/tmj.2023.0531
39.
OhY, HennesseyA, YoungL, et al.Evaluation of patient satisfaction for telehealth (telephone and video) in rheumatology outpatients during COVID-19 pandemic. Intern Med J, 2022; 52(4):559–565; doi: 10.1111/imj.15663
40.
DonaghyE, AthertonH, HammersleyV, et al.Acceptability, benefits, and challenges of video consulting: A qualitative study in primary care. Br J Gen Pract, 2019; 69(686):e586–e594; doi: 10.3399/bjgp19X704141
41.
AllenAZ, ZhuD, ShinC, et al.Patient satisfaction with telephone versus video-televisits: A cross-sectional survey of an urban, multiethnic population. Urology, 2021; 156:110–116; doi: 10.1016/j.urology.2021.05.096
42.
MoranB, FrazierT, BrownLS, et al.A review of the effectiveness of audio-only telemedicine for chronic disease management. Telemed J E Health, 2022; 28(9):1280–1284; doi: 10.1089/tmj.2021.0285
43.
HuangJ, YeungAM, EilandLA, et al.Telehealth fatigue: Is it real? What should be done? J Diabetes Sci Technol, 2024; 18(1):196–200; doi: 10.1177/19322968221127253
44.
WuQL, BrannonGE. What’s after COVID-19?: Communication pathways influencing future use of telehealth. Patient Educ Couns, 2024; 118:108025; doi: 10.1016/j.pec.2023.108025
45.
WongH, RazviY, HamidMA, et al.Age and sex-related comparison of referral-based telemedicine service utilization during the COVID-19 pandemic in Ontario: A retrospective analysis. BMC Health Serv Res, 2023; 23(1):1374; doi: 10.1186/s12913-023-10373-2
46.
FrydmanJL, LiW, GelfmanLP, et al.Telemedicine uptake among older adults during the COVID-19 pandemic. Ann Intern Med, 2022; 175(1):145–148; doi: 10.7326/M21-2972
47.
FrydmanJL, GelfmanLP, GoldsteinNE, et al.The digital divide: Do older adults with serious illness access telemedicine? J Gen Intern Med, 2022; 37(4):984–986; doi: 10.1007/s11606-021-06629-4
48.
BhatiaR, GilliamE, AlibertiG, et al.Older adults’ perspectives on primary care telemedicine during the COVID-19 pandemic. J Am Geriatr Soc, 2022; 70(12):3480–3492; doi: 10.1111/jgs.18035
49.
MaoA, TamL, XuA, et al.Barriers to telemedicine video visits for older adults in independent living facilities: Mixed methods cross-sectional needs assessment. JMIR Aging, 2022; 5(2):e34326; doi: 10.2196/34326
50.
AlsabeehaNHM, AtiehMA, BalakrishnanMS. Older adults’ satisfaction with telemedicine during the COVID-19 pandemic: A systematic review. Telemed J E Health, 2023; 29(1):38–49; doi: 10.1089/tmj.2022.0045
51.
MarcondesFO, NormandS-LT, Le CookB, et al.Racial and ethnic differences in telemedicine use. JAMA Health Forum, 2024; 5(3):e240131; doi: 10.1001/jamahealthforum.2024.0131
52.
AdepojuOE, ChaeM, OjinnakaCO, et al.Utilization gaps during the COVID-19 pandemic: Racial and ethnic disparities in telemedicine uptake in federally qualified health center clinics. J Gen Intern Med, 2022; 37(5):1191–1197; doi: 10.1007/s11606-021-07304-4
53.
RubertoRA, SchweppeEA, AhmedR, et al.Disparities in telemedicine utilization during COVID-19 pandemic: Analysis of demographic data from a large academic orthopaedic practice. JB JS Open Access, 2022; 7(2):e21.00116; doi: 10.2106/JBJS.OA.21.00116
54.
HarrisA, JainA, DhanjaniSA, et al.Disparities in telemedicine literacy and access in the United States. Plast Reconstr Surg, 2023; 151(3):677–685; doi: 10.1097/PRS.0000000000009939
55.
KruisR, BrownEA, JohnsonJ, et al.Patient perceptions of audio-only versus video telehealth visits: A qualitative study among patients in an academic medical center setting. Telemed Rep, 2024; 5(1):89–98; doi: 10.1089/tmr.2023.0065
56.
ConnollySL, AdusumelliY, AzarioRP, et al.A qualitative evidence synthesis of patient and provider attitudes toward audio-only telemental health care. Telemed J E Health, 2025; 31(1):3–17; doi: 10.1089/tmj.2024.0355
57.
ChandrasekaranR, BapatP, Jeripity VenkataP, et al.Do patients assess physicians differently in video visits as compared with in-person visits? Insights from text-mining online physician reviews. Telemed J E Health, 2023; 29(10):1557–1565; doi: 10.1089/tmj.2022.0507
58.
HsiehH-L, LaiJ-M, ChuangB-K, et al.Determinants of telehealth continuance intention: A multi-perspective framework. Healthcare (Basel), 2022; 10(10):2038; doi: 10.3390/healthcare10102038
