Factors in medical student beliefs about electronic health record use

Perspect Health Inf Manag. 2014 Jan 1;11(Winter):1f. eCollection 2014.

Abstract

Healthcare providers' ongoing investment in electronic health records (EHRs) necessitates an understanding of physicians' expectations about using EHRs. Such understanding may aid educators and administrators when utilizing scarce resources during EHR training and implementation activities. This study aimed to link individual medical student characteristics to their perceptions of EHRs' ease of use and usefulness. This study employed a cross-sectional survey of 126 third-year medical students at a large southeastern university. Using a questionnaire designed for this study and containing previously validated items, the study team measured and related students' expectations about EHR ease of use and usefulness to their computer self-efficacy, openness to change, personality traits, and demographic characteristics. On a seven-point scale, men reported, on average, ease-of-use scores that were 0.71 higher than women's (p < .001). Also, increased computer self-efficacy related to higher expectations of EHR ease of use (p < .01) and usefulness (p < .05). Openness-to-change scores were also associated with higher expectations of EHR ease of use (p < .01) and usefulness (p < .001). Finally, a more conscientious personality was positively associated with EHR ease of use (p < .01). Our findings suggest that medical educators and administrators may consider targeting EHR management strategies on the basis of individual differences. Enhanced training and support interventions may be helpful to women or to clinicians with lower computer self-efficacy, lower openness to change, or less conscientious personalities. Also, current and future physicians who rate higher in terms of self-efficacy, openness to change, or conscientiousness may be useful as champions of EHR use among their peers.

Keywords: electronic health records; medical education; organizational management; training; user acceptance.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Attitude of Health Personnel*
  • Cross-Sectional Studies
  • Electronic Health Records*
  • Female
  • Humans
  • Male
  • Perception
  • Students, Medical / psychology*