The DOI matches its Crossref record; 45 of the 48 references it cites were found in a registry or an index.
Incorporating UTAUT Predictors for Understanding Home Care Patients' and Clinician's Acceptance of Healthcare Telemedicine Equipment
Open accessAbstract
Telemedicine programs within health care are experiencing significant growth as healthcare organizations seek to reduce expenditures and improve efficiency.The high costs of treating chronic diseases, compounded by an aging population, has given focus to creating technology-enabled alternatives to support, enhance, or expand patient services.As investments in telemedicine products and services grow at a rapid pace, user technology acceptance has become a key issue in successful implementation.Drawing from the Unified Theory of Acceptance in Technology (UTAUT), this study investigated the predictors of behavioral intention to use Telehealth equipment by patients, clinicians, and agency personnel at Henry Ford e-Home Health Care.Survey data were provided by 126 participants recruited from an eligible population who were either currently using the Telehealth equipment or were familiar with it.Structural equation modeling was used to study the overall fit of the UTAUT model in predicting behavioral intention.Participant type, self-efficacy, anxiety and attitude were tested as moderators.Implications for increasing adoption of Telehealth technology are discussed.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“self-efficacy, as it has a strong relationship with users’ intention to use healthcare technologies [19]”
From Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis (2021) · cites this paper as [19]
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
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,647
(1980) · Medical Entomology and Zoology · Cited by 25,810
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
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Research works printed but not linked: 2
- MARKUS, M.L. & Keil, M. (1994). If we build it, they will come: Designing information systems that people want to use. Sloan Management Review, 35(4), 11-25.
- BANDURA, A. (1994). Self-efficacy. In V.S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp.71-81). New York: Academic Press.
Cited by
Sorted by citations
Telemedicine for Healthcare: Capabilities, Features, Barriers, and Applications
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100117 · Cited by 1,638
Kamal, S. A., Shafiq, M., & Kakria, P. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101212 · Cited by 1,044
Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model
Cimperman, M., Brenčić, M. M., & Trkman, P. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.03.002 · Cited by 694
Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120688 · Cited by 290
Rouidi, M., Elouadi, A., Hamdoune, A., Choujtani, K., & Chati, A. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.101008 · Cited by 236
Metadata
- Authors
- Kohnke, A., Cole, M. L., & Bush, R.
- Affiliations
- Lawrence Technological University (US)
- ORCID
- Cole, Matthew L
- Venue
- Journal of technology management & innovation
- Published
- 2014-07
- Volume
- 9
- Issue
- 2
- Pages
- 29-41
- ISSN
- 0718-2724 (ISSN-L)
- OpenAlex
- W2079189354
- Cited by
- 181
- References
- 48
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 28 · 2023: 17 · 2022: 25 · 2021: 30 · 2020: 18 · 2019: 10 · 2018: 10 · 2017: 8 · 2016: 10 · 2015: 2
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of technology management & innovation (publishedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- home care patients, clinicians, behavioral intention, self-efficacy, anxiety, attitudes, home health care
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
