Health information technology (IT) can offer important benefits to health care; however, technology-related factors are a major obstacle to health IT adoption. Toward the goal of achieving a greater understanding of health IT usability and its measurement, the dissertation comprised three major analyses: 1) a methodological review of health IT usability evaluation studies to identify problems in existing studies; 2) exploratory factor analysis of the Health Information Technology Usability Evaluation Scale (Health-ITUES) which was developed as part of the dissertation research along with the underlying Health Information Technology Usability Evaluation Model (Health-ITUEM); and 3) confirmatory factor analysis and structural equation modeling to examine the construct validity and predictive validity of Health-ITUES. The health IT system that served as the focus of the analysis was a web-based communication system that supported nurse staffing and scheduling. The sample comprised 553 staff nurses in two healthcare organizations.
In the usability methodological review, we identified problems in existing studies including lack of theoretical framework/model, inconsistent usability definition and evaluation methods, and lack of power analysis for sample size calculation. The exploratory factor analysis resulted in a 20-item Health-ITUES comprising four factors that demonstrated strong internal consistency reliability: quality of work life (QWL), 3 items, α=.94; perceived usefulness (PU), 9 items, α=.94; perceived ease of use (PEU), 5 items, α=.95; user control (UC), 3 items, α=.81. The confirmatory factor analysis showed that a general usability factor accounted for 78.1%, 93.4%, 51.0% and 39.9% of the explained variance in QWL, PU, PEU, and UC respectively. The structural equation modeling supported the predictive validity of Health-ITUES, explaining 64% of the variance in intention for system use.
The results of the dissertation contribute to enhancing the methodological breadth and rigor of health IT usability evaluation studies.
|School Location:||United States -- New York|
|Source:||DAI-B 71/09, Dissertation Abstracts International|
|Keywords:||Health information technology, Usability evaluation|
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