Cited by 450Technology Use by Older AdultsAging, Health, and DisabilityAging and Gerontology Research

The DOI matches its Crossref record, with a small difference in title or year; 35 of the 35 references it cites were found in a registry or an index.

Patterns of Technology Use Among Older Adults With and Without Disabilities

Open access

Gell, Nancy M., Rosenberg, Dori E., Demiris, George, LaCroix, Andrea Z., Patel, Kushang V.·2015·The Gerontologist

DOI 10.1093/geront/gnt166PMC PMC4542705

Open this paper in CoChat — free account Open PDF

Abstract

PURPOSE OF THE STUDY: The purpose of this study was to describe prevalence of technology use among adults ages 65 and older, particularly for those with disability and activity-limiting symptoms and impairments. DESIGN AND METHODS: Data from the 2011 National Health and Aging Trends Study, a nationally representative sample of community-dwelling Medicare beneficiaries (N = 7,609), were analyzed. Analysis consisted of technology use (use of e-mail/text messages and the internet) by sociodemographic and health characteristics and prevalence ratios for technology usage by disability status. RESULTS: Forty percent of older adults used e-mail or text messaging and 42.7% used the internet. Higher prevalence of technology use was associated with younger age, male sex, white race, higher education level, and being married (all p values <.001). After adjustment for sociodemographic and health characteristics, technology use decreased significantly with greater limitations in physical capacity and greater disability. Vision impairment and memory limitations were also associated with lower likelihood of technology use. IMPLICATIONS: Technology usage in U.S. older adults varied significantly by sociodemographic and health status. Prevalence of technology use differed by the type of disability and activity-limiting impairments. The internet, e-mail, and text messaging might be viable mediums for health promotion and communication, particularly for younger cohorts of older adults and those with certain types of impairment and less severe disability.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1093/geront/gnt166

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Ageing populations: the challenges ahead
Christensen, K., Doblhammer, G., Rau, R., & Vaupel, J. W. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61460-4 · Cited by 3,011
Impact of internet use on loneliness and contact with others among older adults: cross-sectional analysis
Cotten, S. R., Anderson, W. A., & McCullough, B. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2306 · Cited by 664
Older adults' use of information and communications technology in everyday life
SELWYN, N., GORARD, S., FURLONG, J., & MADDEN, L. (2003) · Ageing and Society · doi:10.1017/s0144686x03001302 · Cited by 617
Older adults: Are they ready to adopt health-related ICT?
Heart, T., & Kalderon, E. (2013) · Int. J. Medical Informatics · doi:10.1016/j.ijmedinf.2011.03.002 · Cited by 599
Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability
Barnard, Y., Bradley, M. D., Hodgson, F., & Lloyd, A. D. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.006 · Cited by 597
Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial
Steventon, A., Bardsley, M., Billings, J., Dixon, J., Doll, H., Hirani, S., Cartwright, M., Rixon, L., Knapp, M., Henderson, C., et al. (2012) · BMJ · doi:10.1136/bmj.e3874 · Cited by 583
The impact of aging on access to technology
Czaja, S. J., & Lee, C. C. (2007) · Universal Access in the Information Society · doi:10.1007/s10209-006-0060-x · Cited by 560
Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare
Steele, R., Lo, A., Secombe, C., & Wong, Y. K. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.08.001 · Cited by 508
The Women's Health and Aging Study: Health and Social Characteristics of Older Women with Disability
Guralnik, J. M., Fried, L. P., Simonsick, E. M., Kasper, J. D., & Lafferty, M. E. (1995) · PsycEXTRA Dataset · doi:10.1037/e306362003-001 · Cited by 504

Flagged first, then by citations

Show all 35 references

Research works printed but not linked: 4

2013, The role of information technology in LTC for older people, 252
2012, National Health and Aging Trends Study Round 1 User Guide
World Health Organization, 2011, mHealth: New horizons for health through mobile technologies
2012, Older adults and internet use. Pew Internet & American Life Project

Sorted by citations

Items 301–400 of 448

An epidemic of social isolation? Age and cohort trends of social connectedness among older adults, 2004–2018
Liu, J. (2025) · Social Science Research · doi:10.1016/j.ssresearch.2025.103212 · Cited by 3
The Role of Information and Communication Technologies in Social Participation of Older Adults: A Scoping Review
Arieli, M., Ngo, V., Jeyakumar, S., Balakumar, N., Baig, N., Nurgitz, M., & Rotenberg, S. (2025) · American Journal of Occupational Therapy · doi:10.5014/ajot.2025.051273 · Cited by 4
The Development Trajectories of Media Exposure and Cognitive Function in Older Adults: An Analysis Based on Latent Growth Models
Jiang, M., Chen, Y., & Guo, Z. (2026) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.70381 · Cited by 3
Human Factors and Ergonomics Considerations for Aging-in-Place Part 2: The Intersection of Environment and Technology
Owens, O. L., & Beer, J. M. (2022) · Ergonomics in Design The Quarterly of Human Factors Applications · doi:10.1177/10648046221096021 · Cited by 4
Internet Use in Very Old Age: The Role of the Social Context and Individual Characteristics
Rennoch, G., Schlomann, A., & Zank, S. (2023) · Journal of Applied Gerontology · doi:10.1177/07334648231196849 · Cited by 3
“However, some studies report that being married or in a partnership increases the chances of using the internet (e.g., Gell et al., 2015) others do not (e.g., Quittschalle et al., 2020).”
Background
THE INTERGENERATIONAL DIGITAL GAP WITH REGARD TO SILVER WORKERS
Porubčinová, M. (2020) · PROGNOSTICKÉ PRÁCE - PP (FORESIGHT ANALYSIS AND RECOMMENDATIONS - FAR) · doi:10.31577/ppfar.2020.12.004 · Cited by 3
Development of an Electronic Tool to Assess Patient Preferences in Geriatric Polypharmacy (PolyPref)
Eidam, A., Roth, A., Frick, E., Metzner, M., Lampert, A., Seidling, H. M., Haefeli, W. E., & Bauer, J. M. (2022) · Patient Preference and Adherence · doi:10.2147/ppa.s364681 · Cited by 3
“Limitations in physical capacities such as the handling of small objects reduced internet usage.(36) In a study examining the usability of a tablet computer questionnaire that addressed quality of life and symptom severity in cancer patients, participants aged ≥ 65 years reported lower ease of use than younger partici…”
Background
(How) did self-rated health status shape Internet use among older adults during the COVID-19 pandemic in Germany?
Grates, M., & Brandt, M. (2023) · New Media & Society · doi:10.1177/14614448231188971 · Cited by 4
“In future analyses, the type of health impairment should also be included in order to derive subgroup-specific implications (Gell et al., 2015; Levine et al., 2018).”
Influential
The implementation and mechanisms of advance notification for cancer screening: A scoping review
Collins, K. E., Myers, L. S., Goodwin, B. C., Taglieri‐Sclocchi, A., & Ireland, M. J. (2024) · Psycho-Oncology · doi:10.1002/pon.6340 · Cited by 3
“68 Further to this, unique motivational strategies can be applied through phone call advance notifications.”
Background
PENGARUH MINDFULNESS TERHADAP CAREGIVER BURDEN LANSIA DENGAN DEMENSIA DI PANTI WREDA
Triyono, H. G., Dwidiyanti, M., & Widyastuti, R. H. (2018) · Jurnal Ilmu Keperawatan Komunitas · doi:10.32584/jikk.v1i1.84 · Cited by 3
To Do or Not to Do: How Socio-demographic Characteristics of Older Adults Are Associated with Online Activities
Leukel, J., Schehl, B., & Sugumaran, V. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50232-4_18 · Cited by 3
A Divided Old Age through Research on Digital Technologies
Poli, A. (2021) · Linköping studies in arts and science · doi:10.3384/9789179290467 · Cited by 6
CBD Oil as a Miracle Drug: A Thematic Analysis of Caregivers’ Attitudes and Practices Towards Cannabidiol in Dementia Treatment
Kłosińska, U., & Leszko, M. (2022) · Journal of Drug Issues · doi:10.1177/00220426221145019 · Cited by 3
“Previous studies have demonstrated that caregivers who were younger, non-Hispanic white, and well-educated are more likely to use the Internet (Gell et al., 2015).”
Background
Mieux comprendre l’usage et la transmission des technologies d’information et de communication aux personnes âgées
Quillion‐Dupré, L., Monfort, E., & Rialle, V. (2016) · NPG. Neurologie, psychiatrie, gériatrie/NPG · doi:10.1016/j.npg.2016.09.002 · Cited by 3
The Future is Now? On-Demand Health for Long-Term Services and Supports
Dawson, W. D. (2017) · Public Policy & Aging Report · doi:10.1093/ppar/prx018 · Cited by 3
Sensorimotor and Cognitive Abilities Associated With Touchscreen Tablet App Performance to Support Self-Management of Type 2 Diabetes
Kravitz, N., Levanon, Y., Cukierman‐Yaffe, T., Nota, A., Kizony, R., & Rand, D. (2020) · American Journal of Occupational Therapy · doi:10.5014/ajot.2021.040600 · Cited by 3
“Self-management can be facilitated by the use of mobile devices (smartphones and tablets), especially because an increasing number of older adults have reported using this technology for daily living (Gell et al., 2015).”
Negative exchange and mental health of the elderly
Xu, L., & Zhang, Z. (2021) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2021.01472 · Cited by 3
“…个不同的理论详细解释了消极交往与心理健康之间的关系, 并通过对比阐明了各个理论的解释机制及适用范围, 但是, 这些理论都存在一定的局限性。一方面, 正如上文所说, 它们的适用范围存在局限性, 只能针对特定的群体或消极交往进行解释, 从而使理论本身缺乏普适性; 另一方面, 很少有研究就上述 4 个理论进行系统性的验证, 这使得我们无法确定不同理论在解释力上的差别。因此, 对上述 4 个理论进行系统性验证是未来研究的重要方向。另外, 目前能够专门针对消极交往和心理健康进行解释的理论还相对较少, 前文中我们通过三个不同的维度即类型、来源及强度, 对消极交往和…”
Enriching Learning Experience - Older Adults and Their Use of the Internet
Klímová, B., Poulová, P., Pražák, P., & Šimonová, I. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-94505-7_35 · Cited by 3
The association between out-of-home mobility and internet use patterns among people aged 60 and older
Campens, J., Braak, P. T., Vercruyssen, A., Aung, M. N., & Witte, N. D. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2447463 · Cited by 2
“Based on the limited research exploring the relationship between OOHM and specific internet activities (e.g. Asiamah and Khan (2022) and Gell et al. (2015)), we hypothesise a positive association between OOHM and internet use patterns and propose the following hypotheses: Hypotheses 1 (H1) : Living…”
Influential
Social Relations and Digital Inclusion: Barriers, Facilitators and Impact on the Interactions Among Older Adults in Spain
García-Aguña, S., Fernández-Roses, D., Gallardo-Peralta, L. P., & Sánchez-Moreno, E. (2025) · Journal of Evidence-Based Social Work · doi:10.1080/26408066.2025.2521518 · Cited by 2
User Acceptance of Smart Home Emergency Response Systems: Mixed Methods Study
Pantförder, M., Krüger, O., Rietz, A., Dzieia, C., & Meister, S. (2026) · JMIR Human Factors · doi:10.2196/93003 · Cited by 2
“Unlike some prior studies that found strong demographic effects, such as age-related declines in technology acceptance or gender-specific differences in curiosity and anxiety [47-49], the current analysis revealed no significant sociodemo-graphic bias in intention to use.”
Knowledge and Attitude of Elderly regarding Assistive Devices; Explore Barriers
Mohamed, A., Hassanen, S., elsheriny, A. E. H., & Elsherbeny, E. M. M. (2022) · NILES Journal forGeriatric and Gerontology/NILES Journal for Geriatric and Gerontology · doi:10.21608/niles.2022.215410 · Cited by 2
Who uses technology to socialize? Evidence from older Canadian adults
DeJohn, A. D., Widener, M. J., & Mihailidis, A. (2023) · Discover Social Science and Health · doi:10.1007/s44155-023-00048-y · Cited by 2
“Historically marginalized groups (e.g., low-income, racial & ethnic minorities, people with disabilities) may have differing levels of technology use [48].”
Background
Healthcare needs in elderly patients with chronic heart failure in view of a personalized blended collaborative care intervention: a cross sectional study
Gostoli, S., Bernardini, F., Subach, R., Engelmann, P., Jaarsma, T., Andréasson, F., Rasmussen, S., Thilsing, T., Eilerskov, N., Bordoni, B., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1332356 · Cited by 2
“Indeed, according to literature (41, 42), men show a preference for technology-based health related communication, including phone and internet use, over women.”
Background
Nonparticipation in a Digital Health Intervention Study Among Older Adults: Uneven Involvement, Biased Outcomes, and the Effect of Weighting
Poli, A., Kåreholt, I., Kelfve, S., Berg, K., & Motel-Klingebiel, A. (2024) · The Journals of Gerontology Series A · doi:10.1093/gerona/glae265 · Cited by 2
Alone together? A time use approach for examining socializing when travel is limited
DeJohn, A. D., Liu, B., Ma, X., Widener, M. J., & Liu, Z. (2024) · Canadian Geographies / Géographies canadiennes · doi:10.1111/cag.12961 · Cited by 2
Predictors of shifts in Internet use and frequency among older adults in Japan before and in later stages of COVID-19: A longitudinal panel study
Nakagomi, A., Ide, K., & Kondo, K. (2025) · New Media & Society · doi:10.1177/14614448241313328 · Cited by 2
“…and Helsper, 2015a), physical health (König et al., 2018; Quittschalle et al., 2020), visual impairment (Choi et al., 2020), functional disability (Gell et al., 2015; Greysen et al., 2014), cognitive decline (Czaja et al., 2013; Freese et al., 2006; Hamer and Stamatakis, 2014), psychological…”
From Marginalized to Strength: Socio-Ecological Coping Strategies of Older Korean Americans with Language Barriers and Healthcare Needs
Kim, Y., Kim, S. J., Jang, S., Lee, A., Brannon, G. E., & Jang, Y. (2025) · Journal of Social Service Research · doi:10.1080/01488376.2025.2451938 · Cited by 2
“Literature indicates that older adults are particularly vulnerable to technological barriers (Charness & Boot, 2009; Gell et al., 2015; Mitzner et al., 2010).”
An Examination of Internet Use and Its Association With Gender Ideology Among Older Adults: Insights From China
Chai, X., Lyu, Z., & Xu, D. (2025) · Canadian Review of Sociology/Revue canadienne de sociologie · doi:10.1111/cars.70005 · Cited by 2
Evaluation of Electronic and Pen-and-Paper Formats of the Inventory of Physical Activity Barriers: A Randomized Crossover Study
Wingood, M., Jones, S. M. W., Gell, N., Brach, J. S., & Peters, D. M. (2022) · Journal of Physical Activity and Health · doi:10.1123/jpah.2021-0821 · Cited by 2
Self-citation
E-Health als zentrale Komponente des digitalen Betrieblichen Gesundheitsmanagements – psychologische Ansätze, Erkenntnisse und Evaluationsmethoden
Lippke, S. (2017) · Springer eBooks · doi:10.1007/978-3-658-14550-7_8 · Cited by 2
Influence des messages électroniques sur l’activité physique aérobie personnelle et les performances en éducation physique et sportive
Robin, N., Laurent, J., & Ruart, S. (2018) · Ejournal de la recherche sur l intervention en éducation physique et sport -eJRIEPS · doi:10.4000/ejrieps.491 · Cited by 2
The Older Gamer in Games Studies: Marginalised or Idealised?
Wu, H., & Guo, C. (2020) · Cultural Science Journal · doi:10.5334/csci.141 · Cited by 6
Technology issues experienced by older populations responding to COVID-19 vaccine text outreach messages
Gwynne, K., Ratwani, R. M., & Dixit, R. A. (2023) · JAMIA Open · doi:10.1093/jamiaopen/ooad066 · Cited by 2
“While this method may be convenient for many of the millions of mobile phone users in the United States, it may not work well for older populations who may have less experience receiving scripted text message-based communications.(3,4) In a time when older adults are at highest risk for poor outcomes from COVID-19, th…”
BackgroundMethod
Increasing independence for older adults who need technology support
Kruger, A., & Samaddar, S. (2023) · Electronic workshops in computing · doi:10.14236/ewic/bcshci2023.10 · Cited by 2
Cognitive Impairment and EAT
Ramos, S. D. S., & Jamieson, M. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812487-1.00002-8 · Cited by 2
Effect of ambulatory mobility aid devices on cardiovascular parameters, walking speed, perceived exertion, and balance of older adult men in Enugu, Nigeria
Ezugwu, U. A., Eze, B. M., Ojide, R. N., Alegu, D. N., Ngwakwe, P. C., Elom, N. A., Ogah, C. I., & Nwimo, I. O. (2024) · SAGE Open Medicine · doi:10.1177/20503121241262250 · Cited by 1
“9 As the number of elderly people continues to rise, the demand for walking aids is expected to increase twofolds by 2050.”
Background
Weight loss interventions for patients with prostate cancer: a scoping review
Yeary, K. H. K., Yu, H., Varady, K. A., & Tang, L. (2024) · Nutrition Reviews · doi:10.1093/nutrit/nuae095 · Cited by 1
Association Between Visual Impairment and Daily Internet Use Among Older Japanese Individuals: Cross-Sectional Questionnaire Study
Takesue, A., Hiratsuka, Y., Kondo, K., Aida, J., Nakagomi, A., & Nakao, S. (2024) · JMIR Formative Research · doi:10.2196/58729 · Cited by 1
“…study in the United States (n=7609) revealed that older adults with vision problems had a lower prevalence ratio (PR) for email or text messaging (PR 0.69, 95% CI 0.58-0.82), health-related internet use (PR 0.44, 95% CI 0.32-0.59), and personal internet use (PR 0.58, 95% CI 0.44-0.77) [20].”
Influential
Intention to Adopt Digitalized Augmentative and Alternative Communication by Applying the UTAUT Model
Nam, Y., Seok, H., Joo, Y., & Yoo, C. (2024) · International Journal of Disability Development and Education · doi:10.1080/1034912x.2024.2433247 · Cited by 1
“…of information and communication technology in general, as well as in the specific area of technology acceptance in special education for children with disabilities in educational and rehabilitative settings (Conti et al., 2017; Gell et al., 2015; Liu et al., 2015; Shin et al., 2011; Tan, 2013).”
Association Between the Use of Information and Communication Technology Tools and Each Domain of Cognitive Function Among Community-Dwelling Older Adults: A Prospective Cohort Study
Yokoyama, K., Ihira, H., Shimokihara, S., Matsuzaki‐Kihara, Y., Mizumoto, A., Tashiro, H., Saito, H., Makino, K., Katsuura, S., Shimada, K., et al. (2025) · Cureus · doi:10.7759/cureus.79188 · Cited by 1
A Longitudinal Analysis of Social Connectedness and Subjective Cognitive Impairment and Racial and Ethnic Differences Among Lesbian, Gay, Bisexual, Transgender, and Queer Midlife and Older Adults
Kim, H., Fredriksen‐Goldsen, K. I., & Nelson, C. L. (2025) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaf070 · Cited by 1
Self-Adaptive User Interface for Elderly Users: A Bayesian Network Approach
Imtiaz-Ud-Din, K. M., Ali, S. S., Ahmed, Z., Debnath, P., & Tisha, M. F. (2024) · International Conference on Computing Advancements (ICCA) · doi:10.1145/3723178.3723245 · Cited by 1
Twelve Recommendations for Supporting Activity Engagement in Extra Care Housing
Driscoll, H., Davies, N., Mumford, C., Evans, A., Fishleigh, L., Tyson, P. J., Price, K., Jones, A., & Bowers, D. A. (2025) · Activities Adaptation & Aging · doi:10.1080/01924788.2025.2524954 · Cited by 1
“Technology use is also found to decrease with increasing physical limitations and disability, while visual and memory impairments are associated with reduced likelihood of use (Gell et al., 2015).”
Exploring Communication Types: How Older European Parents Stay Connected with their Adult Children in the Digital Age
Laumert, H. (2025) · Journal of Population Ageing · doi:10.1007/s12062-025-09492-x · Cited by 1
“In general, it has been suggested that technology use among older adults is also shaped by factors such as limited mobility, health impairments, or physical distance from family (Gell et al., 2015; Grates & Brandt, 2023; Peng et al., 2018).”
Social media communication, traditional social interactions, and loneliness in later life: the role of physical functional limitations
Wang, K., Chen, X. S., Shuai, Y., Ma, Z.-Q., Wei, W., Jin, G., & Dong, Y. (2025) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaf174 · Cited by 1
Barriers to Equity, Diversity and Inclusion in Canadian Research Ethics Board membership: Challenges and opportunities for reform
Miller, M. (2025) · Research Ethics · doi:10.1177/17470161251392249 · Cited by 1
“Despite the increase in digital tools, older people with disabilities remain the most technologically excluded (Coverdale et al., 2024; Gell et al., 2015).”
Perceived Use of Web-Based Videoconferencing for Social Connectedness Among Older Adults Living in Long-Term Care: Qualitative Study
Garnett, A., Yurkiv, H., Connelly, D. M., Booth, R. G., & Donelle, L. (2025) · JMIR Aging · doi:10.2196/73213 · Cited by 2
“For example, arthritis, vision impairments, or neurodegenerative conditions such as Parkinson disease could necessitate the need for adaptive technology or additional assistance as well as greater staff requirements and ultimately cost for the LTCH [42,43].”
Rationale for the Feasibility and Acceptability of Smartwatch Technology in an Exercise Regimen (FASTER) study in older individuals
Hauben, J., Luthy, J., Nafiu, T., Brengartner, A., Omar, M., Nemati, D., Zhao, S., Brock, G. N., Urse, K., Paro, J., et al. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.108152 · Cited by 1
Exploring older adults’ engagement with socially assistive robots using Artificial Intelligence: personas, patterns, and psychosocial outcomes
Choi, N., Lee, O. E., & Park, D.-H. (2026) · The Gerontologist · doi:10.1093/geront/gnag009 · Cited by 1
Perspectives of French community-dwelling older adults on the use of digital services: a qualitative study based on interviews
Cattoni, J., Rigaud, A., Dacunha, S., Perrot, E., Chétouani, M., & Pino, M. (2026) · BMC Geriatrics · doi:10.1186/s12877-026-07511-w · Cited by 2
“They generally did not dispute the idea of technological progress, a finding also reported in prior empirical work examining older adults’ attitudes toward digital technologies in different national contexts [28].”
Why Do Older Adults Lag Behind? Comparing Smart Home Technology Adoption Across Generations in Aging China
Dong, F. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2684267 · Cited by 1
Medication Adherence and Monitoring
Ebner, H., & Schreier, G. (2016) · AAPS advances in the pharmaceutical sciences series · doi:10.1007/978-3-319-43099-7_31 · Cited by 1
Look Who’s Talking: Mediums of Contact Among Mid-to Later-Life Siblings
Hill, M. S., Jensen, A. C., Coyne, S. M., & Yorgason, J. B. (2020) · The International Journal of Aging and Human Development · doi:10.1177/0091415020912956 · Cited by 1
“Recently, more research has begun to examine newer mediums of contact recognizing that middleaged and older adults are becoming frequent users of asynchronous communication, such as texting, social media, and email (Gell et al., 2015).”
Background
mTOCS: Mobile Teleophthalmology in Community Settings to improve Eye-health in Diabetic Population
Tumpa, J. F., Adib, R., Das, D., Abenoza, N., Zolot, A., Medić, V., Kimt, J., Romant, J., & Ahamed, S. I. (2022) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac54236.2022.00119 · Cited by 2
“Age and technical proficiency are generally found to be correlated [43, 44] and are both potential indicators of successful field usage of our software system.”
Background
Older Adults Use of Technology for Decision-Making: A Systematic Literature Review
Dubois, E., Gayle, D. B., Yuan, X., Khurana, P., & Knight, T. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-17902-0_23 · Cited by 1
DRIVERS OF NEW VENTURE DIGITALIZATION AMONG MALAYSIAN SMES: A CONCEPTUAL MODEL
Chin, T. L., Amy, Y. C. M., Tan, H. C., & Abina, B. M. (2023) · International Journal of Application on Economics and Business · doi:10.24912/ijaeb.v1i3.1425-1440 · Cited by 1
“Moreover, several studies [50, 51, 52, 53] have analysed the function of gender discovered that older men use the Internet more frequently than older women.”
Background
Feasibility of Implementing Patient-Reported and Physical Performance Measures to Identify and Manage Fall Risk in Older Adults Within a Secondary Fracture Clinic
Bullock, G. S., Duncan, P. W., McMurtrie, E., Henry, K., Graves, B. F., Lake, A. F., & McDonough, C. M. (2023) · Journal of Applied Gerontology · doi:10.1177/07334648231220481 · Cited by 1
“Older adults are more likely to have low computer literacy (Wilson et al., 2021) and are less likely to have internet access (Gell et al., 2015).”
Background
SMSs as an alternative to provider-delivered care for unhealthy alcohol use: study protocol for Leseli, an open-label randomised controlled trial of mhGAP-Remote vs mhGAP-Standard in Lesotho
Belus, J. M., Johnson, N. E., Yoon, G. H., Tschumi, N., Lerotholi, M., Falgas‐Bagué, I., Lee, T. T., Letsoela, P., Magidson, J. F., Amstutz, A., et al. (2024) · Trials · doi:10.1186/s13063-024-08411-3 · Cited by 1
Computer use and cardiovascular risk biomarkers in midlife and older adults
Hu, M., Diong, S. F., Kasturiratna, K. T. A. S., & Hartanto, A. (2024) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2024.100502 · Cited by 1
Usability and accessibility of total shoulder arthroplasty and rotator cuff repair online patient educational materials for persons with disabilities
Rana, S., Ghahremani, J. S., & Navarro, R. A. (2024) · JSES Reviews Reports and Techniques · doi:10.1016/j.xrrt.2024.09.009 · Cited by 1
Enhancing Stroke Awareness and Activation Among High-Risk Populations: A Randomized Direct Mail Intervention in Diverse Healthcare Settings
Groves, C. C., Damush, T. M., Myers, L. J., Baye, F. M., Daggy, J., Perkins, A. J., Martin, H., Mounsey, L., Clark, D. O., & Williams, L. S. (2025) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.124.011425 · Cited by 1
“27 Recent studies looking at recruitment to risk factor reduction programs demonstrate mail-out recruitment rates of 17% to 39%, 28,29 with older age predicting response to mailed letters, which we also observed among the VA cohort.”
Impact of Loading Dose Adherence and Long-term Anti-VEGF Persistence on Diabetic Macular Edema Outcomes in a Korean Cohort Study
Shin, J., Jeong, J., Heo, K., Shin, J., & Lee, J. (2025) · Clinical Therapeutics · doi:10.1016/j.clinthera.2025.05.010 · Cited by 1
Gathering the Requirements for a Mobile Device Tutorial for Older Adults
Washington, M. A. (2015) · Cited by 1
Relationships among social networking behaviors, depressive symptom and sedentary behaviors in older adults
Baurangtheinthong, S., Aree‐Ue, S., & Leelacharas, S. (2020) · International Research Journal of medicine and Medical Sciences · doi:10.30918/irjmms.81.19.068
“The explanation may be that social network could reduce depressive symptom because of social encouragement as findings from previous studies supported that social networks could decrease loneliness, increase satisfaction in life, and bring mental bliss (Chopik, 2016; Heo et al., 2015).”
Result
Use of Assistive and Interactive Technology and Relation to Quality of Life in Aging Adults
Hübner, S., Boron, J. B., & Fruhling, A. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.509 · Cited by 1
Opportunities and Threats for E-Health on an Ageing Society
Borges, A. P., & Cardoso, C. (2016) · IGI Global eBooks · doi:10.4018/978-1-4666-9978-6.ch076 · Cited by 1
Understanding Diversity in Human-AI Data: What Cognitive Style Disaggregation RevealsPreprint
Anderson, A. W., Dikkala, R., Li, T., Vorvoreanu, M., & Burnett, M. (2021) · arXiv (Cornell University) · Cited by 1
eHealth in Care Coordination for Older Adults Living at Home: A Scoping Review (Preprint)Preprint
Fjellså, H. M. H., Husebø, A. M. L., & Storm, M. (2022) · doi:10.2196/preprints.39584 · Cited by 1
Withdrawn: Advancing Brainwave Therapy for Trauma: Precision Stimulation with Deep Brain Sound TechnologyPreprint
Doğan, U. (2024) · Preprints.org · doi:10.20944/preprints202408.1814.v1
A digital cognitive behavioural therapy programme for insomnia and anxiety in older adults: feasibility and preliminary efficacy.
Reyt, M., Adoutoro, J., Borgetto, F., Desrosiers, C., Barbaux, L., Gong, K., Savard, J., Grenier, S., & Dang Vu, T. T. (2026) · Age and Ageing · doi:10.1093/ageing/afag123 · Cited by 1
THE USABILITY OF A PERSONAL HEALTH RECORD BY OLDER ADULTS
MacPherson, E. (2015) · MacSphere (McMaster University) · doi:10.71548/12429
Understanding The Elderly Non-Users With Visual Impairments: The Case Of The Lithuanian Library For The Blind
Manžuch, Z., & Januševičienė, R. (2015) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.17943
Espaços digitais comuns: Estudo exploratório sobre a utilização das TIC, Funcionamento Familiar e Qualidade de Vida em Famílias de pessoas com deficiência
Simoes, A. M. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.13140/rg.2.2.27448.65280
The Effects of Dual Processing on Gait Pattern: An Analysis of Texting and Walking
Pennock, B., Zerpa, C., & Sanzo, P. (2016)
Gendersensibilität als Innovationstreiber im Gesundheitswesen
Birkner, S., Freitag, M., & Koppelin, F. (2018) · Springer eBooks · doi:10.1007/978-3-658-14779-2_13
Environmental Design
Denson, M. G., & Wong, R. A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-60912-8.00005-1
Factors Motivating Older Population for Social Media Adoption
Ramzan, M., Adeeb, H., & Asif, M. (2019) · Lincoln (University of Nebraska)
Utilização de equipamentos tecnológicos e tecnologias da informação e comunicação por trabalhadores com 50 anos ou mais em suas atividades laborais : impacto do treinamento
Raymundo, T. M. (2020) · doi:10.11606/t.82.2020.tde-27022020-112404
COMMUNICATION TECHNOLOGY INTENTION TO USE AND USE BY COGNITIVELY INTACT LONG-TERM NURSING HOME RESIDENTS
Schuster, A. M. (2020) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2020.294
“Older adults may choose not to use the Internet due to a lack of interest (Carpenter & Buday, 2007; Morris, Goodman, & Brading, 2007; Peacock & Kunemund, 2007; Selwyn, Gorard, Furlong, & Madden, 2003), lack of knowledge (Ng, 2008; Peacock & Kunemund, 2007), or perceived lack of benefit (Melenhorst, Rogers, & Bouwhuis,…”
BackgroundMethodInfluential
Revolución digital en salud: ¿están los pacientes con accidente cerebrovascular preparados?
Gallardo, P. S., Riesco, T. R., & Rodrigo Guerrero, T. (2020) · Revista médica de Chile · doi:10.4067/s0034-98872020000600787
“Escolaridad incompleta < 12 años 7,8 (2,8-21,5) < 0,001”
Too old for technology?
Mariano, J. (2021) · Research Publications (Maastricht University) · doi:10.26481/dis.20211102jm · Cited by 1
中世の身分制と卑賎観念--研究視角のための概観的考察 (歴史社会における身分制の再検討 )
黒田, 俊. (1972) · 部落問題研究
References
(2019) · Gerontechnology · doi:10.1108/978-1-78743-291-820191019
Team VA Video Connect (VVC) to Optimize Mobility and Physical Activity in Post-Hospital Discharge Older Veterans: Baseline AssessmentPreprint
Alexander, N. B., Phillips, K. K., Wagner-Felkey, J., Chan, C., Hogikyan, R. V., Sciaky, A., & Cigolle, C. T. (2021) · Research Square · doi:10.21203/rs.3.rs-437218/v1
Design and Pilot Testing of an Interactive Mobile Health Application to Improve Self-Care in Heart FailurePreprint
Athilingam, P. R., Jenkins, B. A., & Labrador, M. A. (2017) · doi:10.2196/preprints.7848
Internet-Able Older Adults: Text Notifications and Satisfaction with Online Questionnaires
Nichols, E., Feuer, S., Olmsted-Hawala, E. L., & Gliozzi, R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05581-2_38
Use of a Mobile Application Connecting Older Adults with Senior Welfare Centers during the COVID-19 Pandemic and its Effect on Improving Digital Literacy and Social Support in Korea: Development and Usability Study (Preprint)Preprint
Chung, S., Lee, A., & Lee, H. (2023) · doi:10.2196/preprints.46094
Online cognitive testing with Asian older adults during the Covid-19 pandemic: A proof-of-feasibility studyPreprint
Vafa, S., Ong, J. Z., Yong, M. H., Arokiaraj, A. S., Shee, D., Chia, Y. C., & Schaefer, A. (2023) · doi:10.31234/osf.io/t8exs
Effectiveness of healthy e-elderly people intervention (HEPI) application for reduction health effects from mobile communication device and application usages among elderly people in Thailand
Wilaiwan, W. (2017) · doi:10.58837/chula.the.2017.510
Designing for people you can’t meet: Persuasive design to nurture seniors’ participation in community services during the COVID-19 pandemic
Li, M., Kim, M., Huang, L., & Liu, H. (2023) · The Design Journal · doi:10.1080/14606925.2023.2259240
“Their capacity to use digital technology have been hindered by various factors, including lack of infrastructure like WIFI, lack of an educational system, and physical factors like weakened eyesight (Gell et al. 2015).”
Background
Online Cognitive Stimulation Intervention (CSI): A Novel Approach to Improve Cognitive Functions in Healthy Older AdultsPreprint
Vafa, S., Yong, M. H., Marzuki, A. A., Ng, A. L. O., & Schaefer, A. (2023) · doi:10.31234/osf.io/fbyan
Visual impairment is associated with daily internet use among older Japanese individuals: Cross-sectional study (Preprint)Preprint
Hiratsuka, Y., Takesue, A., Kondo, K., Aida, J., Nakagomi, A., & Nakao, S. (2024) · doi:10.2196/preprints.58729
COVID-19 and aging adults: Virtual education and behavior impacts
Wong, L. Y. (2022) · doi:10.31274/td-20240329-179
Prevalence and Predictors of Older Adults’ Computer Use: A Longitudinal Analysis of the ALSOP Cohort (Preprint)Preprint
Johnson, T. L., Lotfaliany, M., Hyde, N. K., Berk, M., Berk, L., Abdelrazek, M., Brennan-Olsen, S. L., Mohebbi, M., Britt, C. J., McNeil, J. J., et al. (2024) · doi:10.2196/preprints.59189
The efficacy of technology designed to support older adults’ chronic disease self-management: A systematic review. (Preprint)Preprint
Murdock, P., & Senteio, C. R. (2024) · doi:10.2196/preprints.60542
The Role of Human Computer Interaction in Consumer Health Applications: Current State, Challenges and Future
Jimison, H. B., & Misha Pavel, C. (2024) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-69947-4_16
Use of Digital Technology Among Older Adults in Poland With Near Visual Impairment (Preprint)Preprint
Lange, A., Lange, N., Jagiełło, K., Wojtyniak, B., & Zdrojewski, T. R. (2024) · doi:10.2196/preprints.68947
Technology Adoption Paradigm in Older Adults: A Systematic Qualitative Grounded Theory Review (Preprint)Preprint
Gandomkar, F., Pirzadeh, N., Bahadori, F., Zandieh, Z., Momtaz, Y. A., & Shahboulaghi, F. M. (2024) · doi:10.2196/preprints.67351
Older People’s Perceptions and Use of Technology
Maharaj, P., Dunn, S., & Sewpersad, S. (2024) · Sustainable development goals series · doi:10.1007/978-981-97-9088-3_9

Authors: Gell, N. M., Rosenberg, D. E., Demiris, G., LaCroix, A. Z., & Patel, K. V.
Affiliations: Kaiser Permanente Washington Health Research Institute (US)
University of Washington (US)
Corresponding author: Gell, Nancy M.
ORCID: Gell, Nancy M.
Rosenberg, Dori E.
Demiris, George
LaCroix, Andrea Z.
Patel, Kushang V.
Venue: The Gerontologist
Publisher: Oxford University Press (OUP)
Published: 2013-12-30
Volume: 55
Issue: 3
Pages: 412-421
ISSN: 0016-9013 (ISSN-L)
1758-5341
DOI: 10.1093/geront/gnt166
PMC: PMC4542705
OpenAlex: W2114661329
Cited by: 450
References: 35
Citations by year: 2026: 34 · 2025: 51 · 2024: 55 · 2023: 35 · 2022: 44 · 2021: 45 · 2020: 45 · 2019: 28 · 2018: 36 · 2017: 31 · 2016: 18 · 2015: 21 · 2014: 6
FWCI: 40.35
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: The Gerontologist (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
eScholarship (California Digital Library) (submittedVersion)
Funders: Johns Hopkins University
National Health and Aging Trends Study (U01AG32947)
National Institute on Aging (T32AG027677, NIA U01AG32947, U01AG032947)
Topics: Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
Keywords: technology use, older adults, disability, internet use, email, text messaging, visual impairment, memory constraints, physical capacity, sociodemographic differences, health communication, health promotion
MeSH terms: Activities of Daily Living, Aged, Aged, 80 and over, Aging, Attitude to Computers, Female, Persons with Disabilities, Health Promotion, Humans, Male, Technology, Prevalence, Internet, Electronic Mail, White People, Text Messaging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Patterns of Technology Use Among Older Adults With and Without Disabilities

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks