A Deterrence Approach to Regulate Nurses' Compliance with Electronic Medical Records Privacy Policy

J Med Syst. 2017 Nov 3;41(12):198. doi: 10.1007/s10916-017-0833-1.

Abstract

Hospitals have become increasingly aware that electronic medical records (EMR) may bring about tangible/intangible benefits to managing institutions, including reduced medical errors, improved quality-of-care, curtailed costs, and allowed access to patient information by healthcare professionals regardless of limitations. However, increased dependence on EMR has led to a corresponding increase in the influence of EMR breaches. Such incursions, which have been significantly facilitated by the introduction of mobile devices for accessing EMR, may induce tangible/intangible damage to both hospitals and concerned individuals. The purpose of this study was to explore factors which may tend to inhibit nurses' intentions to violate privacy policy concerning EMR based upon the deterrence theory perspective. Utilizing survey methodology, 262 responses were analyzed via structural equation modeling. Results revealed that punishment certainty, detection certainty, and subjective norm would most certainly and significantly reduce nurses' intentions to violate established EMR privacy policy. With these findings, recommendations for health administrators in planning and designing effective strategies which may potentially inhibit nurses from violating EMR privacy policy are discussed.

Keywords: Detection certainty; Deterrence theory; Electronic medical records; Intention to violate privacy policy; Punishment certainty; Punishment severity; Subjective norm.

MeSH terms

  • Attitude of Health Personnel*
  • Computer Security
  • Confidentiality / standards*
  • Electronic Health Records / standards*
  • Humans
  • Nurses / psychology*
  • Risk Assessment
  • Social Norms