A systematic review of the psychological literature on interruption and its patient safety implications
- 1Department of Sociology and Social Policy, Lingnan University, Tuen Mun, NT, Hong Kong
- 2Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Sydney, New South Wales, Australia
- Correspondence to Simon Y W Li, SO-318, Dorothy YL Wong Building, Department of Sociology and Social Policy, Lingnan University, Tuen Mun, NT, Hong Kong;
- Received 7 September 2010
- Accepted 31 July 2011
- Published Online First 23 September 2011
Objective To understand the complex effects of interruption in healthcare.
Materials and methods As interruptions have been well studied in other domains, the authors undertook a systematic review of experimental studies in psychology and human–computer interaction to identify the task types and variables influencing interruption effects.
Results 63 studies were identified from 812 articles retrieved by systematic searches. On the basis of interruption profiles for generic tasks, it was found that clinical tasks can be distinguished into three broad types: procedural, problem-solving, and decision-making. Twelve experimental variables that influence interruption effects were identified. Of these, six are the most important, based on the number of studies and because of their centrality to interruption effects, including working memory load, interruption position, similarity, modality, handling strategies, and practice effect. The variables are explained by three main theoretical frameworks: the activation-based goal memory model, prospective memory, and multiple resource theory.
Discussion This review provides a useful starting point for a more comprehensive examination of interruptions potentially leading to an improved understanding about the impact of this phenomenon on patient safety and task efficiency. The authors provide some recommendations to counter interruption effects.
Conclusion The effects of interruption are the outcome of a complex set of variables and should not be considered as uniformly predictable or bad. The task types, variables, and theories should help us better to identify which clinical tasks and contexts are most susceptible and assist in the design of information systems and processes that are resilient to interruption.
- Human error
- human computer interaction
- cognitive psychology
- patient safety
- incident reporting
- decision support
Funding This research is supported in part by grants DP0772487 and LP0775532 from the Australian Research Council and by NHMRC Program Grant 568612.
Competing interests None.
Provenance and peer review Not commissioned; externally peer reviewed.