How do team experience and relationships shape new divisions of labour in robot-assisted surgery? A realist investigation

Author:

Randell RebeccaORCID,Greenhalgh Joanne1,Hindmarsh Jon2,Honey Stephanie,Pearman Alan,Alvarado Natasha1,Dowding Dawn3

Affiliation:

1. University of Leeds, UK

2. King’s College London, UK

3. University of Manchester, UK

Abstract

Safe and successful surgery depends on effective teamwork between professional groups, each playing their part in a complex division of labour. This article reports the first empirical examination of how introduction of robot-assisted surgery changes the division of labour within surgical teams and impacts teamwork and patient safety. Data collection and analysis was informed by realist principles. Interviews were conducted with surgical teams across nine UK hospitals and, in a multi-site case study across four hospitals, data were collected using a range of methods, including ethnographic observation, video recording and semi-structured interviews. Our findings reveal that as the robot enables the surgeon to do more, the surgical assistant’s role becomes less clearly defined. Robot-assisted surgery also introduces new tasks for the surgical assistant and scrub practitioner, in terms of communicating information to the surgeon. However, the use of robot-assisted surgery does not redistribute work in a uniform way; contextual factors of individual experience and team relationships shape changes to the division of labour. For instance, in some situations, scrub practitioners take on the role of supporting inexperienced surgical assistants. These changes in the division of labour do not persist when team members return to operations that are not robot-assisted. This study contributes to wider literature on divisions of labour in healthcare and how this is impacted by the introduction of new technologies. In particular, we emphasise the need to pay attention to often neglected micro-level contextual factors. This can highlight behaviours that can be promoted to benefit patient care.

Funder

Health Services and Delivery Research Programme

national institute for health research

Publisher

SAGE Publications

Subject

Health (social science)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3