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Observation chart design features affect the detection of patient deterioration: a systematic experimental evaluation.
- Source :
- Journal of Advanced Nursing (John Wiley & Sons, Inc.); Jan2016, Vol. 72 Issue 1, p158-172, 15p, 2 Diagrams, 2 Charts, 2 Graphs
- Publication Year :
- 2016
-
Abstract
- Aim. To systematically evaluate the impact of several design features on chart-users' detection of patient deterioration on observation charts with early-warning scoring-systems. Background. Research has shown that observation chart design affects the speed and accuracy with which abnormal observations are detected. However, little is known about the contribution of individual design features to these effects. Design. A 2929292 mixed factorial design, with data-recording format (drawn dots vs. written numbers), scoring-system integration (integrated colour-based system vs. non-integrated tabular system) and scoring-row placement (grouped vs. separate) varied within-participants and scores (present vs. absent) varied between-participants by random assignment. Methods. 205 novice chart-users, tested between March 2011-March 2014, completed 64 trials where they saw real patient data presented on an observation chart. Each participant saw eight cases (four containing abnormal observations) on each of eight designs (which represented a factorial combination of the within-participants variables). On each trial, they assessed whether any of the observations were physiologically abnormal, or whether all observations were normal. Response times and error rates were recorded for each design. Results. Participants responded faster (scores present and absent) and made fewer errors (scores absent) using drawn-dot (vs. written-number) observations and an integrated colour-based (vs. non-integrated tabular) scoring-system. Participants responded faster using grouped (vs. separate) scoring-rows when scores were absent, but separate scoring-rows when scores were present. Conclusion. Our findings suggest that several individual design features can affect novice chart-users' ability to detect patient deterioration. More broadly, the study further demonstrates the need to evaluate chart designs empirically. [ABSTRACT FROM AUTHOR]
- Subjects :
- ACTIVE oxygen in the body
ANALYSIS of variance
COLOR
CONFIDENCE intervals
CONSCIOUSNESS
STATISTICAL correlation
FACTOR analysis
GRAPHIC arts
HEALTH status indicators
HOSPITALS
MEDICAL records
NURSING records
OXYGEN therapy
PATIENT monitoring
PHYSICAL diagnosis
RESEARCH evaluation
STATISTICAL sampling
T-test (Statistics)
URINATION
VITAL signs
STATISTICAL power analysis
EVALUATION research
PAIN measurement
REPEATED measures design
DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 03092402
- Volume :
- 72
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Advanced Nursing (John Wiley & Sons, Inc.)
- Publication Type :
- Academic Journal
- Accession number :
- 113423433
- Full Text :
- https://doi.org/10.1111/jan.12824