Literature DB >> 25157188

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

Aaron S Dietz1, Peter J Pronovost2, Kari N Benson1, Pedro Alejandro Mendez-Tellez3, Cynthia Dwyer4, Rhonda Wyskiel1, Michael A Rosen2.   

Abstract

OBJECTIVE: Behavioural marker systems are advocated as a method for providing accurate assessments, directing feedback and determining the impact of teamwork improvement initiatives. The present article reports on the state of quality surrounding their use in healthcare and discusses the implications of these findings for future research, development and application. In doing so, this article provides a practical resource where marker systems can be selected and evaluated based on their strengths and limitations.
METHODS: Four research questions framed this review: what are the attributes of behavioural marker systems? What evidence of reliability and validity exists? What skills and expertise are required for their use? How have they been applied to investigate the relationship between teamwork and other constructs?
RESULTS: Behavioural markers systems are generally designed for specific work domains or tasks. They often cover similar content with inconsistent terminology, which complicates the comparison of research findings across clinical domains. Although several approaches were used to establish the reliability and validity of marker systems, the marker system literature, as a whole, requires more robust reliability and validity evidence. The impact of rater training on rater proficiency was mixed, but evidence suggests that improvements can be made over time.
CONCLUSIONS: A consensus of definitions for teamwork constructs must be reached to ensure that the meaning behind behavioural measurement is understood across disciplines, work domains and task types. Future development efforts should focus on the cost effectiveness and feasibility of measurement tools including time spent training raters. Further, standards for the testing and reporting of psychometric evidence must be established. Last, a library of tools should be generated around whether the instrument measures general or domain-specific behaviours. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Keywords:  Performance measures; Qualitative research; Teamwork

Mesh:

Year:  2014        PMID: 25157188     DOI: 10.1136/bmjqs-2013-002457

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  12 in total

Review 1.  An integrative framework for sensor-based measurement of teamwork in healthcare.

Authors:  Michael A Rosen; Aaron S Dietz; Ting Yang; Carey E Priebe; Peter J Pronovost
Journal:  J Am Med Inform Assoc       Date:  2014-07-22       Impact factor: 4.497

2.  Introduction of the non-technical skills for surgeons (NOTSS) system in a Japanese cancer center.

Authors:  Akira Tsuburaya; Takahiro Soma; Takaki Yoshikawa; Haruhiko Cho; Tamotsu Miki; Masashi Uramatsu; Yoshikazu Fujisawa; George Youngson; Steven Yule
Journal:  Surg Today       Date:  2016-03-25       Impact factor: 2.549

3.  Validity of the Medi-StuNTS behavioural marker system: assessing the non-technical skills of medical students during immersive simulation.

Authors:  Emma Claire Phillips; Samantha Eve Smith; Benjamin Clarke; Ailsa Lauren Hamilton; Joanne Kerins; Johanna Hofer; Victoria Ruth Tallentire
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-04-16

4.  Development and impact of an endoscopic non-technical skills (ENTS) behavioural marker system.

Authors:  Srivathsan Ravindran; Adam Haycock; Katherine Woolf; Siwan Thomas-Gibson
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-03-06

5.  DE-CODE: a coding scheme for assessing debriefing interactions.

Authors:  Julia C Seelandt; Bastian Grande; Sarah Kriech; Michaela Kolbe
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2018-03-23

6.  A glance at the non-technical skills of nurses: simulation contributions.

Authors:  Emilia Campos de Carvalho
Journal:  Rev Lat Am Enfermagem       Date:  2016-12-08

7.  How effective is teamwork really? The relationship between teamwork and performance in healthcare teams: a systematic review and meta-analysis.

Authors:  Jan B Schmutz; Laurenz L Meier; Tanja Manser
Journal:  BMJ Open       Date:  2019-09-12       Impact factor: 2.692

8.  Interprofessional collaboration milestones: advocating for common assessment criteria in graduate medical education.

Authors:  Majken T Wingo; Rachel D A Havyer; Nneka I Comfere; Darlene R Nelson; Darcy A Reed
Journal:  BMC Med Educ       Date:  2015-09-14       Impact factor: 2.463

Review 9.  Systematic review of methods for quantifying teamwork in the operating theatre.

Authors:  N Li; D Marshall; M Sykes; P McCulloch; J Shalhoub; M Maruthappu
Journal:  BJS Open       Date:  2018-02-15

10.  Improving the Quality of Evaluation Data in Simulation-Based Healthcare Improvement Projects: A Practitioner's Guide to Choosing and Using Published Measurement Tools.

Authors:  Chiara M Santomauro; Andrew Hill; Tara McCurdie; Hannah L McGlashan
Journal:  Simul Healthc       Date:  2020-10       Impact factor: 2.690

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