Rasch analysis of the Antimicrobial Self-Assessment Toolkit for National Health Service (NHS) Trusts (ASAT v17)
Author(s) -
Chantelle Bailey,
Mary P. Tully,
María Pampaka,
Jonathan Cooke
Publication year - 2016
Publication title -
journal of antimicrobial chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.124
H-Index - 194
eISSN - 1460-2091
pISSN - 0305-7453
DOI - 10.1093/jac/dkw434
Subject(s) - rasch model , respondent , statistics , scale (ratio) , psychology , descriptive statistics , predictive validity , mathematics , geography , cartography , political science , law
The Antimicrobial Self-Assessment Toolkit for National Health Service (NHS) Trusts (ASAT) was developed to evaluate hospital-based antimicrobial stewardship programmes. Iterative validity investigations of the ASAT were used to produce a 91-item ASAT v17 utilizing qualitative methodology. Rasch analysis was used to generate question (item) behaviour estimates and to investigate the validity of ASAT v17.
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