Using the HALT model in an exploratory quality improvement initiative to reduce medication errors

Br J Nurs. 2018 Dec 13;27(22):1330-1335. doi: 10.12968/bjon.2018.27.22.1330.

Abstract

Medication errors can have deleterious effects on patient safety and care. Interruptions, patient acuity and time pressures have all been cited as contributing factors in the incidence of medication errors. Yet, despite the number of different strategies that can be taken to reduce the incidence of medication errors, they still occur. The strategies often focus on refining systems and processes, depending on the root cause of the error. However, less recognised as contributory elements are human factors such as anger, hunger or tiredness. The aim of this quality improvement initiative was to reduce medication errors by 25% on a medical ward, through the introduction of the hunger, angry, lonely, tired (HALT) model to address the human factors associated with medication errors. Post-implementation, the HALT model appeared to have resulted in a total reduction in medication errors over a 2-month period by 31%. Mistakes related to human error were reduced by 25%, and those linked to communication and documentation errors by 22%. While this was a small-scale study, this is a significant reduction in medication errors. However, caution should be used when addressing other contributing factors associated with medication errors as using HALT alone will not address these.

Keywords: Administration errors; HALT model; Medication errors; Medication safety; Patient safety.

MeSH terms

  • Humans
  • Medication Errors / nursing
  • Medication Errors / prevention & control*
  • Medication Errors / statistics & numerical data
  • Models, Nursing*
  • Outcome Assessment, Health Care*
  • Quality Improvement
  • Queensland