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Development and Psychometric Evaluation of the Impact of Health Information Technology (I-HIT) Scale

^a Clinical Informatics Research and Development, Partners HealthCare, Wellesley, MA
^b Center for Nursing Excellence, Brigham and Women’s Hospital, Boston, MA
^c Fay Whitney School of Nursing, University of Wyoming, Laramie, WY
^d Department of Biomedical Informatics, Columbia University, New York, NY
^e Center for Evidence-based Practice in the Underserved, Columbia University School of Nursing, New York, NY
^f Center for Nursing Research, William F. Connell School of Nursing, Boston College, Boston, MA.

^_* Correspondence and reprints: Dr. Patricia Dykes, Partners HealthCare, Clinical Informatics Research and Development, 93 Worcester St, Wellesley, MA, 02481 (Email: pdykes{at}partners.org).

Received for publication: 01/06/07; accepted for publication: 03/28/07.

Objective: The use of health information technology (HIT) for the support of communication processes and data and information access in acute care settings is a relatively new phenomenon. A means of evaluating the impact of HIT in hospital settings is needed. The purpose of this research was to design and psychometrically evaluate the Impact of Health Information Technology scale (I-HIT). I-HIT was designed to measure the perception of nurses regarding the ways in which HIT influences interdisciplinary communication and workflow patterns and nurses’ satisfaction with HIT applications and tools.

Design: Content for a 43-item tool was derived from the literature, and supported theoretically by the Coiera model and by nurse informaticists. Internal consistency reliability analysis using Cronbach’s alpha was conducted on the 43-item scale to initiate the item reduction process. Items with an item total correlation of less than 0.35 were removed, leaving a total of 29 items.

Measurements: Item analysis, exploratory principal component analysis and internal consistency reliability using Cronbach’s alpha were used to confirm the 29-item scale.

Results: Principal components analysis with Varimax rotation produced a four-factor solution that explained 58.5% of total variance (general advantages, information tools to support information needs, information tools to support communication needs, and workflow implications). Internal consistency of the total scale was 0.95 and ranged from 0.80-0.89 for four subscales.

Conclusion: I-HIT demonstrated psychometric adequacy and is recommended to measure the impact of HIT on nursing practice in acute care settings.