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Uncovering healthcare practitioners' information processing using the think-aloud method: From paper-based guideline to clinical decision support system.

Authors :
Kilsdonk E
Peute LW
Riezebos RJ
Kremer LC
Jaspers MW
Source :
International journal of medical informatics [Int J Med Inform] 2016 Feb; Vol. 86, pp. 10-9. Date of Electronic Publication: 2015 Nov 26.
Publication Year :
2016

Abstract

Objective: To investigate whether the use of the think-aloud method with propositional analysis could be helpful in the design of a Clinical Decision Support System (CDSS) providing guideline recommendations about long-term follow-up of childhood cancer survivors.<br />Materials and Methods: The think-aloud method was used to gain insight into healthcare professionals' information processing while reviewing a paper-based guideline. A total of 13 healthcare professionals (6 physicians and 7 physician assistants) prepared 2 fictitious patient consults using the paper-based guideline. Propositional analysis was used to analyze verbal protocols of the think-aloud sessions. A prototype CDSS was developed and a usability study was performed, again with the think-aloud method.<br />Results: The analysis revealed that the paper-based guideline did not support healthcare practitioners in finding patient-specific recommendations. An information processing model for retrieving recommendations was developed and used as input for the design of a CDSS prototype user interface. Usability analysis of the prototype CDSS showed that the navigational structure of the system fitted well with healthcare practitioners' daily practices.<br />Conclusions: The think-aloud method combined with propositional analysis of healthcare practitioners' verbal utterances while they processed a paper-based guideline was useful in the design of a usable CDSS providing patient-specific guideline recommendations.<br /> (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1872-8243
Volume :
86
Database :
MEDLINE
Journal :
International journal of medical informatics
Publication Type :
Academic Journal
Accession number :
26725690
Full Text :
https://doi.org/10.1016/j.ijmedinf.2015.11.011