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DOI: 10.1055/a-2640-2742
Exploring the Relationship between Digital Health Literacy and Patterns of Telemedicine Engagement and Appointment Attendance within an Urban Academic Hospital
Authors
Funding None.
Abstract
Background
Telemedicine use has surged since the COVID-19 pandemic, offering a convenient way for patients to access health care. Whereas digital literacy (general comfort with and ability to use digital tools) is necessary to utilize telemedicine, digital health literacy is a subset of this, focusing on the ability to use digital tools to seek out, understand, and utilize health information. Barriers such as the lack of high-speed internet and limited digital health literacy can hinder telemedicine's effectiveness, particularly for historically marginalized populations with lower technological access.
Objectives
This study aims to characterize the relationship between baseline digital health literacy, appointment no-shows, and telemedicine usage in a Bronx population.
Methods
In a Bronx-based cohort, we assessed digital health literacy using eHealth Literacy Scale (eHEALS) and eHealth Literacy Objective Scale-Scenario Based (eHeLiOS-SB), and health literacy with the Newest Vital Sign (NVS) instrument. Baseline sociodemographic characteristics (e.g., age, insurance type) were collected, and appointment no-show rates and telemedicine usage were calculated. Linear regression models were used to assess associations.
Results
Higher digital health literacy, private insurance (compared to Medicaid), and older age were associated with fewer no-shows. Higher video visit usage was also associated with fewer no-shows. Individuals at high risk of housing insecurity were less likely to use video visits, and higher phone visit usage was associated with patients experiencing financial resource strain. Digital health literacy was positively associated with White race and negatively associated with Medicare usage (compared to Medicaid).
Conclusion
Higher digital health literacy correlates with increased appointment attendance, indicating the need to address digital barriers in health care. Increasing telemedicine use may help reduce no-shows, and patient-specific strategies are needed to enhance digital health literacy and telemedicine effectiveness.
Keywords
allergy and immunology - outpatient care - internet and the web technology - telemedicine and telehealth - communication barriersProtection of Human Subjects
This study complied with the Strengthening the Reporting of Observational Studies in Epidemiology guidelines and the Albert Einstein College of Medicine (IRB) approved this study.
* These authors contributed equally to this work.
Publication History
Received: 19 February 2025
Accepted: 19 June 2025
Accepted Manuscript online:
24 June 2025
Article published online:
17 November 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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References
- 1 Baker DW. The meaning and the measure of health literacy. J Gen Intern Med 2006; 21 (08) 878-883
- 2 Norman CD, Skinner HA. eHEALS: The eHealth Literacy Scale. J Med Internet Res 2006; 8 (04) e27
- 3 Kim K, Shin S, Kim S, Lee E. The relation between ehealth literacy and health-related behaviors: Systematic review and meta-analysis. J Med Internet Res 2023; 25: e40778
- 4 Arias López MDP, Ong BA, Borrat Frigola X. et al. Digital literacy as a new determinant of health: A scoping review. PLoS Digit Health 2023; 2 (10) e0000279
- 5 Milanti A, Chan DNS, Parut AA, So WKW. Determinants and outcomes of eHealth literacy in healthy adults: A systematic review. PLoS ONE 2023; 18 (10) e0291229
- 6 Adepoju OE, Singh M, Tipton M, Peperone G, Trujillo M, Ojinnaka C. Access to technology, internet usage, and online health information-seeking behaviors in a racially diverse, lower-income population. Front Public Health 2024; 12: 1328544
- 7 Yao R, Zhang W, Evans R, Cao G, Rui T, Shen L. Inequities in health care services caused by the adoption of digital health technologies: Scoping review. J Med Internet Res 2022; 24 (03) e34144
- 8 Richardson S, Lawrence K, Schoenthaler AM, Mann D. A framework for digital health equity. NPJ Digit Med 2022; 5 (01) 119
- 9 Chidambaram S, Jain B, Jain U. et al. An introduction to digital determinants of health. PLOS Digit Health 2024; 3 (01) e0000346
- 10 Petretto DR, Carrogu GP, Gaviano L. et al. Digital determinants of health as a way to address multilevel complex causal model in the promotion of Digital health equity and the prevention of digital health inequities: A scoping review. J Public Health Res 2024 ;13(1):22799036231220352
- 11 Busse TS, Nitsche J, Kernebeck S. et al. Approaches to Improvement of Digital Health Literacy (eHL) in the context of person-centered care. Int J Environ Res Public Health 2022; 19 (14) 8309
- 12 Hwang AS, Atlas SJ, Cronin P. et al. Appointment “no-shows” are an independent predictor of subsequent quality of care and resource utilization outcomes. J Gen Intern Med 2015; 30 (10) 1426-1433
- 13 Kheirkhah P, Feng Q, Travis LM, Tavakoli-Tabasi S, Sharafkhaneh A. Prevalence, predictors and economic consequences of no-shows. BMC Health Serv Res 2016; 16: 13
- 14 Hunter BN, Cardon B, Oakley GM, Sharma A, Crosby DL. Factors associated with patient nonattendance in rhinology clinics. Am J Rhinol Allergy 2019; 33 (03) 317-322
- 15 Elkhider H, Sharma R, Sheng S. et al. Predictors of no-show in neurology clinics. Healthcare (Basel) 2022; 10 (04) 599
- 16 Fiori KP, Heller CG, Rehm CD. et al. Unmet social needs and no-show visits in primary care in a US Northeastern Urban Health System, 2018-2019. Am J Public Health 2020; 110 (S2): S242-S250
- 17 Shah DA, Sharer R, Sall D. et al. Racial, ethnic, and socioeconomic differences in primary care no-show risk with telemedicine during the COVID-19 pandemic. J Gen Intern Med 2023; 38 (12) 2734-2741
- 18 Alkilany R, Tarabichi Y, Hong R. Telemedicine visits during COVID-19 improved clinic show rates. ACR Open Rheumatol 2022; 4 (02) 136-141
- 19 Drerup B, Espenschied J, Wiedemer J, Hamilton L. Reduced no-show rates and sustained patient satisfaction of telehealth during the COVID-19 pandemic. Telemed J E Health 2021; 27 (12) 1409-1415
- 20 Westerlinck P, Maes N, Coucke P. Assessing the effect of a mobile application on cancer risk health literacy: A cross-sectional study design. Appl Clin Inform 2025; 16 (02) 447-462
- 21 Gutnick D, Lutz C, Mani KA. et al. Right information, right care, right patient, right time: Community preferences to inform a self-management support tool for upper respiratory symptoms. Appl Clin Inform 2025; 16 (01) 145-155
- 22 Brewster RCL, Zhang J, Stewart M, Kaur R, Arellano M, Bourgeois F. A Prescription for internet: Feasibility of a tablet loaner program to address digital health inequities. Appl Clin Inform 2023; 14 (02) 273-278
- 23 Yu J, Meng S. Impacts of the internet on health inequality and healthcare access: A cross-country study. Front Public Health 2022; 10: 935608
- 24 Sota T, Jackson T, Yang E, Lau AYS. Communication challenges experienced by clinicians and patients during teleconsultation: A scoping review. Appl Clin Inform 2025; 16 (01) 56-66
- 25 New York City Council. Access to Internet in NYC. 2021
- 26 Berlot AA, Chen PS, Kaur S. et al. Developing and evaluating the DiabetesXcel mobile application for adult patients with type 2 diabetes. Clin Diabetes 2024; 42 (02) 232-242
- 27 Wedel N, Zinger N, Singh AK. et al. ASTHMAXcel PRO patient satisfaction and usability field testing. J Asthma 2024; 61 (08) 813-822
- 28 Joseph PL, Fleary SA. Construct validity and measurement invariance of the eHEALS in a diverse US high school sample. J Media Psychol Ger 2024; 36 (03) 188-198
- 29 Petrič G, Atanasova S. Validation of the extended e-health literacy scale: structural validity, construct validity and measurement invariance. BMC Public Health 2024; 24 (01) 1991
- 30 Zrubka Z, Hajdu O, Rencz F, Baji P, Gulácsi L, Péntek M. Psychometric properties of the Hungarian version of the eHealth Literacy Scale. Eur J Health Econ 2019; 20 (Suppl. 01) 57-69
- 31 Lane S, Fitzsimmons E, Zelefksy A. et al. Assessing electronic health literacy at an urban academic hospital. Appl Clin Inform 2023; 14 (02) 365-373
- 32 Weiss BD, Mays MZ, Martz W. et al. Quick assessment of literacy in primary care: the Newest Vital Sign. Ann Fam Med 2005; 3 (06) 514-522
- 33 Kordovski VM, Woods SP, Avci G, Verduzco M, Morgan EE. Is the newest vital sign a useful measure of health literacy in HIV disease?. J Int Assoc Provid AIDS Care 2017; 16 (06) 595-602
- 34 Rodrigues R, de Andrade SM, González AD, Birolim MM, Mesas AE. Cross-cultural adaptation and validation of the Newest Vital Sign (NVS) health literacy instrument in general population and highly educated samples of Brazilian adults. Public Health Nutr 2017; 20 (11) 1907-1913
- 35 Pereira Cruvinel AF, Cusicanqui Méndez DA, Campos Chaves G. et al. The Brazilian validation of a health literacy instrument: the newest vital sign. Acta Odontol Scand 2018; 76 (08) 587-594
- 36 Kind AJH, Buckingham W. Making Neighborhood Disadvantage Metrics Accessible: The Neighborhood Atlas. New England Journal of Medicine 2018; . 378: 2456-2458
- 37 Curtis ME, Clingan SE, Guo H, Zhu Y, Mooney LJ, Hser YI. Disparities in digital access among American rural and urban households and implications for telemedicine-based services. J Rural Health 2022; 38 (03) 512-518
- 38 Kan K, Heard-Garris N, Bendelow A. et al. Examining access to digital technology by race and ethnicity and child health status among Chicago families. JAMA Netw Open 2022; 5 (08) e2228992
- 39 Iasiello JA, Rajan A, Zervos E, Parikh AA, Snyder RA. Racial differences in patient-reported access to telehealth: An important and unmeasured social determinant of health. JCO Oncol Pract 2023; 19 (12) 1215-1223
- 40 Suntai Z, Beltran SJ. The intersectional impact of race/ethnicity and sex on access to technology among older adults. Gerontologist 2023; 63 (07) 1162-1171
- 41 Whitehead L, Talevski J, Fatehi F, Beauchamp A. Barriers to and facilitators of digital health among culturally and linguistically diverse populations: Qualitative systematic review. J Med Internet Res 2023; 25: e42719
- 42 Roberts ET, Mehrotra A. Assessment of disparities in digital access among medicare beneficiaries and implications for telemedicine. JAMA Intern Med 2020; 180 (10) 1386-1389
- 43 Ng BP, Park C. Accessibility of Telehealth Services During the COVID-19 pandemic: A cross-sectional survey of Medicare beneficiaries. Prev Chronic Dis 2021; 18: E65
- 44 Dinh TTH, Bonner A. Exploring the relationships between health literacy, social support, self-efficacy and self-management in adults with multiple chronic diseases. BMC Health Serv Res 2023; 23 (01) 923
- 45 Fazeli PL, Woods SP, Gakumo CA, Mugavero MJ, Vance DE. Critical, and not functional, health literacy is associated with missed HIV clinic visits in adults and older adults living with HIV in the Deep South. AIDS Care 2020; 32 (06) 694-700
- 46 van der Gaag M, Heijmans M, Spoiala C, Rademakers J. The importance of health literacy for self-management: A scoping review of reviews. Chronic Illn 2022; 18 (02) 234-254
- 47 Yang Y, Madanian S, Parry D. Enhancing health equity by predicting missed appointments in health care: Machine learning study. JMIR Med Inform 2024; 12: e48273
- 48 Greig EC, Gonzalez-Colaso R, Nwanyanwu K. Racial, ethnic, and socioeconomic disparities drive appointment no-show in patients with chronic eye disease. J Racial Ethn Health Disparities 2023; 10 (04) 1790-1797
- 49 Ji H, Dong J, Pan W, Yu Y. Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China. Int J Equity Health 2024; 23 (01) 68
- 50 Çetin M, Gümüş R. Research into the relationship between digital health literacy and healthy lifestyle behaviors: an intergenerational comparison. Front Public Health 2023; 11: 1259412
- 51 Lim DSC, Kwok B, Williams P, Koczwara B. The impact of digital technology on self-management in cancer: Systematic review. JMIR Cancer 2023; 9: e45145
- 52 Patil U, Kostareva U, Hadley M. et al. Health literacy, digital health literacy, and COVID-19 pandemic attitudes and behaviors in U.S. College Students: Implications for interventions. Int J Environ Res Public Health 2021; 18 (06) 3301
- 53 Shour A, Onitilo AA. Distance matters: Investigating no-shows in a large rural provider network. Clin Med Res 2023; 21 (04) 177-191
- 54 Adepoju OE, Chae M, Liaw W, Angelocci T, Millard P, Matuk-Villazon O. Transition to telemedicine and its impact on missed appointments in community-based clinics. Ann Med 2022; 54 (01) 98-107
- 55 Pullyblank K, Krupa N, Scribani M, Chapman A, Kern M, Brunner W. Examining differences in time to appointment and no-show rates between rural telehealth users and non-users. Front Digit Health 2024; 6: 1264893
- 56 Muppavarapu K, Saeed SA, Jones K, Hurd O, Haley V. Study of impact of telehealth use on clinic “no show” rates at an academic practice. Psychiatr Q 2022; 93 (02) 689-699
- 57 Sumarsono A, Case M, Kassa S, Moran B. Telehealth as a tool to improve access and reduce no-show rates in a large safety-net population in the USA. J Urban Health 2023; 100 (02) 398-407
- 58 Ojinnaka CO, Johnstun L, Dunnigan A, Nordstrom L, Yuh S. Telemedicine reduces missed appointments but disparities persist. Am J Prev Med 2024; 67 (01) 90-96
- 59 Priya L, Carey P, Shafi F. Conversion of no-show patients to telehealth in a primary medicine clinic. Mo Med 2022; 119 (01) 74-78
- 60 Chandrasekaran R. 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 (02) 480-489
- 61 Yoon E, Hur S, Curtis LM, Benavente JY, Wolf MS, Serper M. Patient factors associated with telehealth quality and experience among adults with chronic conditions. JAMIA Open 2024; 7 (02) ooae026
- 62 Parker RF, Figures EL, Paddison CA, Matheson JI, Blane DN, Ford JA. Inequalities in general practice remote consultations: a systematic review. BJGP Open 2021; 5 (03) BJGPO.2021.0040
- 63 Shao CC, Katta MH, Smith BP. et al. Reducing no-show visits and disparities in access: The impact of telemedicine. J Telemed Telecare 2024; x: X241241357
- 64 Chen K, Zhang C, Gurley A, Akkem S, Jackson H. Appointment non-attendance for telehealth versus in-person primary care visits at a large public healthcare system. J Gen Intern Med 2023; 38 (04) 922-928
