Literature DB >> 14650639

Mismatched concepts in a neonatal intensive care unit (NICU): further issues for computer decision support?

Yvonne Freer1, Lindsey Ferguson, Gary Ewing, Jim Hunter, Robert Logie, Sue Rudkin, Neil McIntosh.   

Abstract

BACKGROUND: Common concepts and definitions are important for the effective practice of medicine. In an intensive care unit clear understanding of terminology and communication between different staff groups may be critical for optimal care. If computerised decision support tools are to be successfully deployed in these high intensity environments, all staff must understand the concepts and information that is to be portrayed.
OBJECTIVE: To examine the similarity of language and concepts related to newborn infants and their care in staff groups with different experience.
METHODS: An experimental study in a tertiary regional neonatal intensive care unit involved 32 staff in 4 groups with varying experience (junior and senior / nurses and doctors). A psychologist developed a lexicon of clinical actions and a second lexicon of possible patient descriptors applicable to newborn infants receiving all degrees of neonatal care by conducting interviews with staff on the unit. Card sorting experiments were performed on the terms in the action and descriptor lexicons, the staff being asked to group words that were related to the same or similar concepts. The card sort data were analysed using conventional cluster analysis to produce tree-diagrams or dendrograms and then by distance matrix analysis to give cumulative probability plots.
RESULTS: Differences were shown in the way various classes of staff and staff with different experience mentally map clinical concepts. Clinical actions were grouped more randomly by nurses and by those with less experience with a polarisation between senior doctors and junior nurses. Descriptors were classed more definitively and similarly by junior and senior nurses and senior doctors but more randomly and quite differently by junior doctors. Thus there were differences seen between nurses and doctors with different roles within the unit and differences related to experience.
CONCLUSIONS: Concepts are used differently by various staff groups in a neonatal unit: this may have an impact on the effectiveness of computerised decision aids unless it is taken into account during their development.

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Mesh:

Year:  2002        PMID: 14650639     DOI: 10.1023/a:1026264722707

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  5 in total

Review 1.  Artificial intelligence applications in the intensive care unit.

Authors:  C W Hanson; B E Marshall
Journal:  Crit Care Med       Date:  2001-02       Impact factor: 7.598

2.  A knowledge-based, concept-oriented view generation system for clinical data.

Authors:  Q Zeng; J J Cimino
Journal:  J Biomed Inform       Date:  2001-04       Impact factor: 6.317

3.  Computerisation and decision making in neonatal intensive care: a cognitive engineering investigation.

Authors:  E Alberdi; K Gilhooly; J Hunter; R Logie; A Lyon; N McIntosh; J Reiss
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

4.  The effects of divided attention on visual monitoring of multi-channel displays.

Authors:  J D Gould; A Schaffer
Journal:  Hum Factors       Date:  1967-06       Impact factor: 2.888

5.  Clinical diagnosis of pneumothorax is late: use of trend data and decision support might allow preclinical detection.

Authors:  N McIntosh; J C Becher; S Cunningham; B Stenson; I A Laing; A J Lyon; P Badger
Journal:  Pediatr Res       Date:  2000-09       Impact factor: 3.756

  5 in total
  1 in total

1.  A comparison of graphical and textual presentations of time series data to support medical decision making in the neonatal intensive care unit.

Authors:  Anna S Law; Yvonne Freer; Jim Hunter; Robert H Logie; Neil McIntosh; John Quinn
Journal:  J Clin Monit Comput       Date:  2005-06       Impact factor: 2.502

  1 in total

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