The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Using the Technology Acceptance Model to Explore User Experience, Intent to Use, and Use Behavior of a Patient Portal Among Older Adults With Multiple Chronic Conditions: Descriptive Qualitative Study
Open accessAbstract
BACKGROUND: Patient portals offer modern digital tools for older adults with multiple chronic conditions (MCC) to engage in their health management. However, there are barriers to portal adoption among older adults. Understanding portal user interface and user experience (UI and UX) preferences of older adults with MCC may improve the accessibility, acceptability, and adoption of patient portals. OBJECTIVE: The aim of this study was to use the Technology Acceptance Model (TAM) as a framework for qualitatively describing the UI and UX, intent to use, and use behaviors among older patients with MCC. METHODS: We carried out a qualitative descriptive study of Kaiser Permanente Colorado's established patient portal, My Health Manager. Older patients (N=24; mean 78.41 (SD 5.4) years) with MCC participated in focus groups. Stratified random sampling was used to maximize age and experience with the portal among participants. The semistructured focus groups used a combination of discussion and think-aloud strategies. A total of 2 coders led the theoretically driven analysis based on the TAM to determine themes related to use behavior, portal usefulness and ease of use, and intent to use. RESULTS: Portal users commonly used email, pharmacy, and lab results sections of the portal. Although, generally, the portal was seen to be easy to use, simple, and quick, challenges related to log-ins, UI design (color and font), and specific features were identified. Such challenges inhibited participants' intent to use the portal entirely or specific features. Participants indicated that the portal improved patient-provider communication, saved time and money, and provided relevant health information. Participants intended to use features that were beneficial to their health management and easy to use. CONCLUSIONS: Older adults are interested in using patient portals and are already taking advantage of the features available to them. We have the opportunity to better engage older adults in portal use but need to pay close attention to key considerations promoting usefulness and ease of use.
Overview
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
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J. M., & Wouters, E. J. M. (2016) · Gerontology · doi:10.1159/000430949 · Cited by 19,690
The Coding Manual for Qualitative Researchers
Saldana, J. (2025) · SAGE Publications Ltd eBooks · doi:10.4135/9781036235611 · Cited by 17,944
Employing a Qualitative Description Approach in Health Care Research
Bradshaw, C., Atkinson, S., & Doody, O. (2017) · Global Qualitative Nursing Research · doi:10.1177/2333393617742282 · Cited by 2,475
The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence
Grove, S. K., Burns, N., & Gray, J. (2008) · Andalas University Repository (Andalas University) · Cited by 2,210
Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption
Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M., & Sands, D. Z. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2025 · Cited by 1,437
Whitehead, L., & Seaton, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4883 · Cited by 743
The think aloud method: a guide to user interface design
JASPERS, M., STEEN, T., BOS, C., & GEENEN, M. (2004) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2004.08.003 · Cited by 544
Computer, Internet, and E-mail Use Among Older Adults: Benefits and Barriers
Gatto, S. L., & Tak, S. H. (2008) · Educational Gerontology · doi:10.1080/03601270802243697 · Cited by 390
Gordon, N. P., & Hornbrook, M. C. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5105 · Cited by 366
The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials
Ammenwerth, E., Schnell-Inderst, P., & Hoerbst, A. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2238 · Cited by 364
Kruse, C. S., Argueta, D. A., Lopez, L., & Nair, A. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3703 · Cited by 327
Web 2.0 chronic disease self-management for older adults: a systematic review
Stellefson, M., Chaney, B., Barry, A. E., Chavarria, E., Tennant, B., Walsh-Childers, K., Sriram, P. S., & Zagora, J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2439 · Cited by 315
The eHealth Enhanced Chronic Care Model: A Theory Derivation Approach
Gee, P. M., Greenwood, D. A., Paterniti, D. A., Ward, D., & Miller, L. M. S. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4067 · Cited by 292
Computer use among older adults in a naturally occurring retirement community
Carpenter, B. D., & Buday, S. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2006.08.015 · Cited by 259
Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019) · Journal of Medical Internet Research · doi:10.2196/15023 · Cited by 207
Greenberg, A. J., Haney, D., Blake, K. D., Moser, R. P., & Hesse, B. W. (2018) · The Journal of Rural Health · doi:10.1111/jrh.12228 · Cited by 179
Barriers to the use of a personal health record by an elderly population.
Lober, W. B., Zierler, B. K., Herbaugh, A. L., Shinstrom, S. E., Stolyar, A., Kim, E.-H., & Kim, Y. (2006) · Europe PMC (PubMed Central) · Cited by 177
Nazi, K. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2443 · Cited by 176
Irizarry, T., Shoemake, J. D., Nilsen, M. L., Czaja, S. J., Beach, S. R., & Dabbs, A. D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7099 · Cited by 175
Self-citationConsumers' Perceptions of Patient-Accessible Electronic Medical Records
Zarcadoolas, C., Vaughon, W. L., Czaja, S. J., Levy, J., & Rockoff, M. L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2507 · Cited by 149
Self-citationSmith, S. G., O’Conor, R., Aitken, W., Curtis, L. M., Wolf, M. S., & Goel, M. S. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv025 · Cited by 148
Patient Portal Use and Experience Among Older Adults: Systematic Review
Sakaguchi-Tang, D., Bosold, A. L., Choi, Y., & Turner, A. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.8092 · Cited by 144
Email for clinical communication between patients/caregivers and healthcare professionals
Atherton, H., Sawmynaden, P., Sheikh, A., Majeed, A., & Car, J. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007978.pub2 · Cited by 130
Langford, A. T., & Loeb, S. (2019) · Journal of Medical Internet Research · doi:10.2196/13512 · Cited by 130
Personal Health Record Use in the United States: Forecasting Future Adoption Levels
Ford, E. W., Hesse, B. W., & Huerta, T. R. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4973 · Cited by 121
Young, R., Willis, E., Cameron, G. T., & Geana, M. (2013) · Health Informatics Journal · doi:10.1177/1460458213486906 · Cited by 114
Wang, J., Bennett, K., & Probst, J. C. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1534 · Cited by 111
Care Partners and Online Patient Portals
Sarkar, U., & Bates, D. W. (2014) · JAMA · doi:10.1001/jama.2013.285825 · Cited by 99
Reviewing and Critiquing Computer Learning and Usage Among Older Adults
Kim, Y. S. (2008) · Educational Gerontology · doi:10.1080/03601270802000576 · Cited by 94
Improving personal health records for patient-centered care
Reti, S. R., Feldman, H. J., Ross, S. E., & Safran, C. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2009.000927 · Cited by 93
Lyles, C. R., Allen, J. Y., Poole, D., Tieu, L., Kanter, M. H., & Garrido, T. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5910 · Cited by 90
Wildenbos, G. A., Peute, L., & Jaspers, M. (2017) · Studies in health technology and informatics · doi:10.3233/978-1-61499-753-5-308 · Cited by 83
Patient Portal Utilization Among Ethnically Diverse Low Income Older Adults: Observational Study
Arcury, T. A., Quandt, S. A., Sandberg, J. C., MILLER, D. P., Latulipe, C., Leng, X., Talton, J. W., Melius, K., Smith, D., & Bertoni, A. G. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.8026 · Cited by 82
The value of personal health records for chronic disease management: what do we know?
Tenforde, M. W., Jain, A., & Hickner, J. M. (2011) · PubMed · Cited by 81
Patient web portals, disease management, and primary prevention
Coughlin, S. S., Prochaska, J. J., Williams, L. B., Besenyi, G. M., Heboyan, V., Goggans, S., Yoo, W., & Leo, G. D. (2017) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s130431 · Cited by 81
Sieck, C. J., Hefner, J. L., Schnierle, J., Florian, H., Agarwal, A., Rundell, K., & McAlearney, A. S. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.7516 · Cited by 77
Personal health records: a randomized trial of effects on elder medication safety
Chrischilles, E. A., Hourcade, J. P., Doucette, W. R., Eichmann, D. A., Gryzlak, B. M., Lorentzen, R. R., Wright, K. B., Letuchy, E. M., Mueller, M. D., Farris, K. B., et al. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2013-002284 · Cited by 74
Going Mobile: How Mobile Personal Health Records Can Improve Health Care During Emergencies
Bouri, N., & Ravi, S. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3017 · Cited by 73
Barriers to the use of personal health records by patients: a structured review
Showell, C. (2017) · PeerJ · doi:10.7717/peerj.3268 · Cited by 73
Latulipe, C., Quandt, S. A., Melius, K., Bertoni, A. G., MILLER, D. P., Smith, D., & Arcury, T. A. (2018) · Journal of Medical Internet Research · doi:10.2196/10524 · Cited by 71
Greenberg, A. J., Falisi, A. L., Rutten, L. J. F., Chou, W. S., Patel, V., Moser, R. P., & Hesse, B. W. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7417 · Cited by 66
Qualitative research methodologies for occupational science and therapy
Krusen, N. (2016) · Journal of Occupational Science · doi:10.1080/14427591.2016.1218746 · Cited by 63
Portz, J. D., Fruhauf, C. A., Bull, S. S., Boxer, R. S., Bekelman, D. B., Casillas, A., Gleason, K. S., & Bayliss, E. A. (2019) · JMIR Aging · doi:10.2196/13713 · Cited by 59
Self-citationPatterns in Patient Access and Utilization of Online Medical Records: Analysis of MyChart
Redelmeier, D. A., & Kraus, N. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8372 · Cited by 49
Email for the provision of information on disease prevention and health promotion
Sawmynaden, P., Atherton, H., Majeed, A., & Car, J. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007982.pub2 · Cited by 47
Smith, S. G., Pandit, A. U., Rush, S. R., Wolf, M. S., & Simon, C. (2014) · Health Expectations · doi:10.1111/hex.12316 · Cited by 46
Older adults’ perceptions of usefulness of personal health records
Price, M. M., Pak, R., Müller, H., & Stronge, A. (2013) · Universal Access in the Information Society · doi:10.1007/s10209-012-0275-y · Cited by 45
Alpert, J. M., Morris, B. B., Thomson, M. D., Matin, K., & Brown, R. (2018) · JMIR Cancer · doi:10.2196/cancer.8993 · Cited by 41
Nazi, K. M., Turvey, C., Klein, D. M., & Hogan, T. P. (2018) · Journal of Medical Internet Research · doi:10.2196/10413 · Cited by 39
Wong, J. I., Steitz, B. D., & Rosenbloom, S. T. (2019) · JAMIA Open · doi:10.1093/jamiaopen/ooz058 · Cited by 24
Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing
Zide, M., Caswell, K., Peterson, E., Aberle, D. R., Bui, A. A. T., & Arnold, C. W. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5122 · Cited by 21
Igelström, H., Hauffman, A., Alfonsson, S., Sjöström, J., Cajander, Å., & Johansson, B. (2020) · Journal of Medical Internet Research · doi:10.2196/16604 · Cited by 16
How do health care providers perceive technologies for monitoring older adults?
Thompson, H. J., & Thielke, S. M. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333599 · Cited by 16
Cited by
Bertolazzi, A., Quaglia, V., & Bongelli, R. (2024) · BMC Public Health · doi:10.1186/s12889-024-18036-5 · Cited by 399
Carini, E., Villani, L., Pezzullo, A. M., Gentili, A., Barbara, A., Ricciardi, W., & Boccia, S. (2021) · Journal of Medical Internet Research · doi:10.2196/26189 · Cited by 275
Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019) · Journal of Medical Internet Research · doi:10.2196/15023 · Cited by 207
Hicks, J. P., Allsop, M. J., Akaba, G. O., Yalma, R. M., Dirisu, O., Okusanya, B., Tukur, J., Okunade, K., Akeju, D., Ajepe, A., et al. (2021) · JMIR mHealth and uHealth · doi:10.2196/24182 · Cited by 26
Du, Y., Dennis, B., Rhodes, S. L., Sia, M., Ko, J., Jiwani, R., & Wang, J. (2020) · JMIR Diabetes · doi:10.2196/21183 · Cited by 27
Metadata
- Authors
- Portz, J. D., Bayliss, E. A., Bull, S., Boxer, R. S., Bekelman, D. B., Gleason, K., & Czaja, S.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2019-04-08
- Volume
- 21
- Issue
- 4
- Pages
- e11604
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2912472800
- Cited by
- 313
- References
- 55
- FWCI
- 78.91
- Type
- journal article
- Language
- en
- Open access
- gold
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.