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The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU)

KOWITLAWAKUL, YANIKA·2011·CIN: Computers, Informatics, Nursing

Abstract

The purposes of this study were to determine factors and predictors that influence nurses' intention to use the eICU technology, to examine the applicability of the Technology Acceptance Model in explaining nurses' intention to use the eICU technology in healthcare settings, and to provide psychometric evidence of the measurement scales used in the study. The study involved 117 participants from two healthcare systems. The Telemedicine Technology Acceptance Model was developed based on the original Technology Acceptance Model that was initially developed by Fred Davis in 1986. The eICU Acceptance Survey was used as an instrument for the study. Content validity was examined, and the reliability of the instrument was tested. The results show that perceived usefulness is the most influential factor that influences nurses' intention to use the eICU technology. The principal factors that influence perceived usefulness are perceived ease of use, support from physicians, and years working in the hospital. The model fit was reasonably adequate and able to explain 58% of the variance (R = 0.58) in intention to use the eICU technology with the nursing sample.

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Show all 97 references

Research works printed but not linked: 7

  1. Toofany, 2006, Nursing and information technology., Nurs Mang, 13, 18
  2. Spiegler, 2004, Time of admission and mortality in the intensive care unit., Clin Pulm Med, 11, 118, 10.1097/01.cpm.0000117684.85852.e5 · doi:10.1097/01.cpm.0000117684.85852.e5
  3. Myers, 2008, The virtual ICU (vICU): a new dimension for critical care nursing., Crit Care Nurs Clin North Am, 20, 435, 10.1016/j.ccell.2008.08.003 · doi:10.1016/j.ccell.2008.08.003
  4. Asaro, 2004, Measuring the effect of a computerized nursing documentation system with objective measures and reported perceptions., Ann Emerg Med, 44, 131, 10.1016/j.annemergmed.2004.07.420 · doi:10.1016/j.annemergmed.2004.07.420
  5. Jayasuriya, 1996, Computer attitude and computer anxiety in nursing: validation of an instrument using an Australian sample., CIN, 14, 340
  6. Moody, 2004, Electronic health records documentation in nursing: nurses' perceptions, attitudes, and preferences., CIN, 22, 337
  7. Brumini, 2005, Nurses' attitudes toward computers: cross sectional questionnaire study., Croatia Med J, 46, 101

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Metadata

Authors
KOWITLAWAKUL, Y.
Venue
CIN: Computers, Informatics, Nursing
Published
2011-07
Volume
29
Issue
7
Pages
411-418
ISSN
1538-2931 (ISSN-L)
OpenAlex
W2004270258
Cited by
272
References
97
FWCI
14.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU). https://app.cochat.ai/papers/10.1097/ncn.0b013e3181f9dd4a
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KOWITLAWAKUL, Y. (2011). The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU). CIN: Computers, Informatics, Nursing. https://doi.org/10.1097/ncn.0b013e3181f9dd4a

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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.