Literature DB >> 25053579

An integrative framework for sensor-based measurement of teamwork in healthcare.

Michael A Rosen1, Aaron S Dietz2, Ting Yang2, Carey E Priebe3, Peter J Pronovost1.   

Abstract

There is a strong link between teamwork and patient safety. Emerging evidence supports the efficacy of teamwork improvement interventions. However, the availability of reliable, valid, and practical measurement tools and strategies is commonly cited as a barrier to long-term sustainment and spread of these teamwork interventions. This article describes the potential value of sensor-based technology as a methodology to measure and evaluate teamwork in healthcare. The article summarizes the teamwork literature within healthcare, including team improvement interventions and measurement. Current applications of sensor-based measurement of teamwork are reviewed to assess the feasibility of employing this approach in healthcare. The article concludes with a discussion highlighting current application needs and gaps and relevant analytical techniques to overcome the challenges to implementation. Compelling studies exist documenting the feasibility of capturing a broad array of team input, process, and output variables with sensor-based methods. Implications of this research are summarized in a framework for development of multi-method team performance measurement systems. Sensor-based measurement within healthcare can unobtrusively capture information related to social networks, conversational patterns, physical activity, and an array of other meaningful information without having to directly observe or periodically survey clinicians. However, trust and privacy concerns present challenges that need to be overcome through engagement of end users in healthcare. Initial evidence exists to support the feasibility of sensor-based measurement to drive feedback and learning across individual, team, unit, and organizational levels. Future research is needed to refine methods, technologies, theory, and analytical strategies.
© The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.comFor numbered affiliations see end of article.

Entities:  

Keywords:  patient safety; sensor-based measurement; team performance measurement; teamwork

Mesh:

Year:  2014        PMID: 25053579      PMCID: PMC4433362          DOI: 10.1136/amiajnl-2013-002606

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  36 in total

Review 1.  Teams in organizations: from input-process-output models to IMOI models.

Authors:  Daniel R Ilgen; John R Hollenbeck; Michael Johnson; Dustin Jundt
Journal:  Annu Rev Psychol       Date:  2005       Impact factor: 24.137

2.  What are the critical success factors for team training in health care?

Authors:  Eduardo Salas; Sandra A Almeida; Mary Salisbury; Heidi King; Elizabeth H Lazzara; Rebecca Lyons; Katherine A Wilson; Paula A Almeida; Robert McQuillan
Journal:  Jt Comm J Qual Patient Saf       Date:  2009-08

Review 3.  In situ simulation in continuing education for the health care professions: a systematic review.

Authors:  Michael A Rosen; Elizabeth A Hunt; Peter J Pronovost; Molly A Federowicz; Sallie J Weaver
Journal:  J Contin Educ Health Prof       Date:  2012       Impact factor: 1.355

4.  Do team and individual debriefs enhance performance? A meta-analysis.

Authors:  Scott I Tannenbaum; Christopher P Cerasoli
Journal:  Hum Factors       Date:  2013-02       Impact factor: 2.888

Review 5.  A systematic review of behavioural marker systems in healthcare: what do we know about their attributes, validity and application?

Authors:  Aaron S Dietz; Peter J Pronovost; Kari N Benson; Pedro Alejandro Mendez-Tellez; Cynthia Dwyer; Rhonda Wyskiel; Michael A Rosen
Journal:  BMJ Qual Saf       Date:  2014-08-25       Impact factor: 7.035

6.  A 36-hospital time and motion study: how do medical-surgical nurses spend their time?

Authors:  Ann Hendrich; Marilyn P Chow; Boguslaw A Skierczynski; Zhenqiang Lu
Journal:  Perm J       Date:  2008

Review 7.  Teamwork assessment in internal medicine: a systematic review of validity evidence and outcomes.

Authors:  Rachel D A Havyer; Majken T Wingo; Nneka I Comfere; Darlene R Nelson; Andrew J Halvorsen; Furman S McDonald; Darcy A Reed
Journal:  J Gen Intern Med       Date:  2013-12-11       Impact factor: 5.128

8.  Close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors.

Authors:  Lorenzo Isella; Mariateresa Romano; Alain Barrat; Ciro Cattuto; Vittoria Colizza; Wouter Van den Broeck; Francesco Gesualdo; Elisabetta Pandolfi; Lucilla Ravà; Caterina Rizzo; Alberto Eugenio Tozzi
Journal:  PLoS One       Date:  2011-02-28       Impact factor: 3.240

9.  Tools for evaluating team performance in simulation-based training.

Authors:  Michael A Rosen; Sallie J Weaver; Elizabeth H Lazzara; Eduardo Salas; Teresa Wu; Salvatore Silvestri; Nicola Schiebel; Sandra Almeida; Heidi B King
Journal:  J Emerg Trauma Shock       Date:  2010-10

Review 10.  Team-training in healthcare: a narrative synthesis of the literature.

Authors:  Sallie J Weaver; Sydney M Dy; Michael A Rosen
Journal:  BMJ Qual Saf       Date:  2014-02-05       Impact factor: 7.035

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  8 in total

1.  Human Factors and Organizational Issues in 2015: The Increasing Complexity of the Healthcare Domain Calls for More Comprehensive Approaches.

Authors:  S Pelayo; R Santos
Journal:  Yearb Med Inform       Date:  2016-11-10

2.  Importance of high-performing teams in the cardiovascular intensive care unit.

Authors:  Lauren R Kennedy-Metz; Atilio Barbeito; Roger D Dias; Marco A Zenati
Journal:  J Thorac Cardiovasc Surg       Date:  2021-03-31       Impact factor: 5.209

3.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

4.  Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion.

Authors:  Michael A Rosen; Aaron S Dietz; Nam Lee; I-Jeng Wang; Jared Markowitz; Rhonda M Wyskiel; Ting Yang; Carey E Priebe; Adam Sapirstein; Ayse P Gurses; Peter J Pronovost
Journal:  PLoS One       Date:  2018-10-12       Impact factor: 3.240

Review 5.  Teams in Small Organizations: Conceptual, Methodological, and Practical Considerations.

Authors:  Roni Reiter-Palmon; Victoria Kennel; Joseph A Allen
Journal:  Front Psychol       Date:  2021-03-18

6.  Incipient Social Groups: An Analysis via In-Vivo Behavioral Tracking.

Authors:  Jamin Halberstadt; Joshua Conrad Jackson; David Bilkey; Jonathan Jong; Harvey Whitehouse; Craig McNaughton; Stefanie Zollmann
Journal:  PLoS One       Date:  2016-03-23       Impact factor: 3.240

7.  Cross-cultural validation and psychometric testing of the Norwegian version of the TeamSTEPPS® teamwork perceptions questionnaire.

Authors:  Randi Ballangrud; Sissel Eikeland Husebø; Marie Louise Hall-Lord
Journal:  BMC Health Serv Res       Date:  2017-12-02       Impact factor: 2.655

8.  Assessing Hand Hygiene and Low-Level Disinfection of Equipment Compliance in an Acute Care Setting: Mixed Methods Approach.

Authors:  Hammad Akram; Alison Andrews-Paul; Rachel Washburn
Journal:  JMIR Nurs       Date:  2020-06-05
  8 in total

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