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Usability Evaluation Ecological Validity: Is More Always Better?
- Source :
- Healthcare (2227-9032); Jul2024, Vol. 12 Issue 14, p1417, 15p
- Publication Year :
- 2024
-
Abstract
- Background: The ecological validity associated with usability testing of health information technologies (HITs) can affect test results and the predictability of real-world performance. It is, therefore, necessary to identify conditions with the greatest effect on validity. Method: We conducted a comparative analysis of two usability testing conditions. We tested a HIT designed for anesthesiologists to detect pain signals and compared two fidelity levels of ecological validity. We measured the difference in the number and type of use errors identified between high and low-fidelity experimental conditions. Results: We identified the same error types in both test conditions, although the number of errors varied as a function of the condition. The difference in total error counts was relatively modest and not consistent across levels of severity. Conclusions: Increasing ecological validity does not invariably increase the ability to detect use errors. Our findings suggest that low-fidelity tests are an efficient way to identify and mitigate usability issues affecting ease of use, effectiveness, and safety. We believe early low-fidelity testing is an efficient but underused way to maximize the value of usability testing. [ABSTRACT FROM AUTHOR]
- Subjects :
- PAIN diagnosis
AUTONOMIC nervous system physiology
EDUCATION of physicians
PAIN measurement
PSYCHOLOGY of physicians
NURSES
MEDICAL informatics
RESEARCH funding
OCCUPATIONAL roles
COMPUTER software
COMPUTERS
HOSPITAL nursing staff
INTERVIEWING
RESEARCH evaluation
DIAGNOSTIC errors
SURGICAL therapeutics
ANESTHESIOLOGISTS
DESCRIPTIVE statistics
PHYSICIANS' attitudes
SURVEYS
ELECTROCARDIOGRAPHY
EXPERIMENTAL design
SOUND recordings
INDUSTRIAL research
PARASYMPATHETIC nervous system
RESEARCH methodology
NURSES' attitudes
USER-centered system design
COMPARATIVE studies
FACTOR analysis
HEALTH facilities
PHYSICIANS
DATA analysis software
CRITICAL care medicine
USER interfaces
ALGORITHMS
ECOLOGICAL research
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 14
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 178691251
- Full Text :
- https://doi.org/10.3390/healthcare12141417