How do interruptions affect clinician performance in healthcare? Negotiating fidelity, control, and potential generalizability in the search for answers

Sanderson, Penelope; Grundgeiger, Tobias

doi:10.1016/j.ijhcs.2014.11.003

Cited by 38 publications

(20 citation statements)

References 55 publications

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“…Where other studies differentiated between ‘interruptions’ and ‘distractions’ to define causes and precursors of errors (Relihan et al . , Sanderson & Grundgeiger ), we used the term ‘interruption’ (including self‐initiated interruptions) for both.…”

Section: Background and Aimmentioning

confidence: 99%

A combined intervention to reduce interruptions during medication preparation and double-checking: a pilot-study evaluating the impact of staff training and safety vests

et al. 2017

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Nursing management should acknowledge interruptions as an important factor potentially influencing medication safety. Unnecessary interruptions can be successfully reduced by considering human and system factors and increasing both staff and nursing managers' awareness of 'interruptive communication practices' and implementing physical barriers. This is the first pilot-study specifically evaluating the impact of staff training and wearing safety vests on the reduction of interruptions during medication preparation and double-checking.

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Section: Background and Aimmentioning

confidence: 99%

A combined intervention to reduce interruptions during medication preparation and double-checking: a pilot-study evaluating the impact of staff training and safety vests

et al. 2017

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“…In HCI and HFE, the cost of an interruption on-screen has been evaluated with quantitative metrics such as time on task [1,33,37,40], the number of tasks completed [40], the number of incomplete tasks [23], the number of errors [35,40], switching time [30,33,43], and workload [1,37]; and qualitative metrics such as respect [1] and preference [40]. In embodied settings, researchers have also used structured interviews [24,55,57] and ethnographies [18,24,45,55] to evaluate long-term interruption costs.…”

Section: Evaluating Interruption Consequencesmentioning

confidence: 99%

Robot Classification of Human Interruptibility and a Study of Its Effects

Banerjee

Silva

Chernova

2018

J. Hum.-Robot Interact.

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As robots become increasingly prevalent in human environments, there will inevitably be times when the robot needs to interrupt a human to initiate an interaction. Our work introduces the first interruptibility-aware mobile-robot system, which uses social and contextual cues online to accurately determine when to interrupt a person. We evaluate multiple non-temporal and temporal models on the interruptibility classification task, and show that a variant of Conditional Random Fields (CRFs), the Latent-Dynamic CRF, is the most robust, accurate, and appropriate model for use on our system. Additionally, we evaluate different classification features and show that the observed demeanor of a person can help in interruptibility classification; but in the presence of detection noise, robust detection of object labels as a visual cue to the interruption context can improve interruptibility estimates. Finally, we deploy our system in a large-scale user study to understand the effects of interruptibility-awareness on human-task performance, robot-task performance, and on human interpretation of the robot's social aptitude. Our results show that while participants are able to maintain task performance, even in the presence of interruptions, interruptibility-awareness improves the robot's task performance and improves participant social perceptions of the robot.

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“…One of these domains is healthcare environments, in which the practical problems of interruption lately have been receiving a great amount of attention (e.g. Janssen et al 2015;Sanderson and Grundgeiger 2015;Weigl et al 2014;Werner and Holden 2015).…”

Section: Upcoming Trends In Interruption Researchmentioning

confidence: 99%

Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens

2016

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This paper presents a study examining interruptions in the wild by portraying the handling of interruptions in manufacturing from a distributed cognition lens. By studying how interruptions occur and are handled in the daily activities of a work team at a large foundry for casting heavy diesel engines, we highlight situations when the propagation, transformation, and representation of information are not supported by prescribed work processes and propose recommendations for how this can be amended. The study was conducted by several visits to the aforementioned factory with cognitive ethnography as the basis for the data collection. The focus was on identifying interruptions and analysing these through a distributed cognition framework as an initial step towards studying interruptions in a manufacturing environment. The key findings include the identification of three, previously undefined, types of interruptions and the conclusion that interruptions do indeed affect the distributed workload of the socio-technical system and thus the overall production performance at the casting line.

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How do interruptions affect clinician performance in healthcare? Negotiating fidelity, control, and potential generalizability in the search for answers

Cited by 38 publications

References 55 publications

A combined intervention to reduce interruptions during medication preparation and double-checking: a pilot-study evaluating the impact of staff training and safety vests

A combined intervention to reduce interruptions during medication preparation and double-checking: a pilot-study evaluating the impact of staff training and safety vests

Robot Classification of Human Interruptibility and a Study of Its Effects

Interruptions in the wild: portraying the handling of interruptions in manufacturing from a distributed cognition lens

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